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Jie Tang 0001

唐杰

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unicode name: 唐杰
affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China

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2025
[j134]
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Lu Chen, Li Yang, Jie Tang, Haoyuan Ma, Liu Yu, Shenbing Wu, Junkang Wang, Hao Wu, Gun Li:
Enhanced Self-Attention-Based Rapid CNN for Detecting Dense Objects in Varying Illumination. Cogn. Comput. 17(1): 26 (2025)
[j133]
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Dan Zhang, Shaojie Zheng, Yifan Zhu, Huihui Yuan, Jibing Gong, Jie Tang:
MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations. ACM Trans. Inf. Syst. 43(2): 33:1-33:29 (2025)
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Yelin Chen, Fanjin Zhang, Jie Tang:
Small Language Model Makes an Effective Long Text Extractor. AAAI 2025: 23623-23631
[c347]
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Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang:
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. ICLR 2025
[c346]
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Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang:
CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning. ICLR 2025
[c345]
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Zehan Qi, Xiao Liu, Iat Long Iong, Hanyu Lai, Xueqiao Sun, Jiadai Sun, Xinyue Yang, Yu Yang, Shuntian Yao, Wei Xu, Jie Tang, Yuxiao Dong:
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning. ICLR 2025
[c344]
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Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Yuxuan Zhang, Weihan Wang, Yean Cheng, Bin Xu, Xiaotao Gu, Yuxiao Dong, Jie Tang:
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer. ICLR 2025
[c343]
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Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, Shengmin Jiang, Yuxiao Dong, Jie Tang:
Scaling Speech-Text Pre-training with Synthetic Interleaved Data. ICLR 2025
[c342]
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Yuanchun Wang, Jifan Yu, Zijun Yao, Jing Zhang, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou, Juanzi Li, Jie Tang:
SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking. KDD (1) 2025: 2660-2671
[i195]
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  - journals/corr/abs-2501-01045
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Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang:
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. CoRR abs/2501.01045 (2025)
[i194]
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Zeyao Ma, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang:
Dynamic Scaling of Unit Tests for Code Reward Modeling. CoRR abs/2501.01054 (2025)
[i193]
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  - journals/corr/abs-2501-01668
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Bohan Zhang, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang:
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis. CoRR abs/2501.01668 (2025)
[i192]
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  - journals/corr/abs-2501-02955
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Wenyi Hong, Yean Cheng, Zhuoyi Yang, Weihan Wang, Lefan Wang, Xiaotao Gu, Shiyu Huang, Yuxiao Dong, Jie Tang:
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models. CoRR abs/2501.02955 (2025)
[i191]
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  - journals/corr/abs-2501-10132
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Lucen Zhong, Zhengxiao Du, Xiaohan Zhang, Haiyi Hu, Jie Tang:
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario. CoRR abs/2501.10132 (2025)
[i190]
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  - journals/corr/abs-2501-11651
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Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li, Zijun Yao, Juanzi Li, Jie Tang, Yuxiao Dong:
Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling. CoRR abs/2501.11651 (2025)
[i189]
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  - journals/corr/abs-2501-13787
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Dan Zhang, Tao Feng, Lilong Xue, Yuandong Wang, Yuxiao Dong, Jie Tang:
Parameter-Efficient Fine-Tuning for Foundation Models. CoRR abs/2501.13787 (2025)
[i188]
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  - journals/corr/abs-2502-12589
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Yu Zhang, Shujun Peng, Nengwu Wu, Xinhan Lin, Yang Hu, Jie Tang:
RM-PoT: Reformulating Mathematical Problems and Solving via Program of Thoughts. CoRR abs/2502.12589 (2025)
[i187]
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  - journals/corr/abs-2502-13897
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Dan Zhang, Sining Zhoubian, Min Cai, Fengzu Li, Lekang Yang, Wei Wang, Tianjiao Dong, Ziniu Hu, Jie Tang, Yisong Yue:
DataSciBench: An LLM Agent Benchmark for Data Science. CoRR abs/2502.13897 (2025)
[i186]
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  - journals/corr/abs-2502-15828
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Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang:
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models. CoRR abs/2502.15828 (2025)
[i185]
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  - journals/corr/abs-2502-16971
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Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang:
LongSafety: Evaluating Long-Context Safety of Large Language Models. CoRR abs/2502.16971 (2025)
[i184]
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  - journals/corr/abs-2503-11571
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Tianrui Pan, Lin Liu, Jie Liu, Xiaopeng Zhang, Jie Tang, Gangshan Wu, Qi Tian:
RASA: Replace Anyone, Say Anything - A Training-Free Framework for Audio-Driven and Universal Portrait Video Editing. CoRR abs/2503.11571 (2025)
[i183]
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  - journals/corr/abs-2503-20491
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Jiale Cheng, Ruiliang Lyu, Xiaotao Gu, Xiao Liu, Jiazheng Xu, Yida Lu, Jiayan Teng, Zhuoyi Yang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang:
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization. CoRR abs/2503.20491 (2025)
2024
[j132]
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Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang:
GPT understands, too. AI Open 5: 208-215 (2024)
[j131]
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Wei Xu, Jie Tang, Ka Fai Cedric Yiu, Jian-Wen Peng:
An Efficient Global Optimal Method for Cardinality Constrained Portfolio Optimization. INFORMS J. Comput. 36(2): 690-704 (2024)
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Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex 'Sandy' Pentland, Jie Tang:
Gift Contagion in Online Groups: Evidence from Virtual Red Packets. Manag. Sci. 70(7): 4465-4479 (2024)
[j129]
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Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang:
Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5692-5711 (2024)
[j128]
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Jibing Gong, Yi Zhao, Jinye Zhao, Jin Zhang, Guixiang Ma, Shaojie Zheng, Shuying Du, Jie Tang:
Personalized recommendation via inductive spatiotemporal graph neural network. Pattern Recognit. 145: 109884 (2024)
[j127]
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  - journals/tkde/ZhangFWQST24
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Dan Zhang, Wenzheng Feng, Yuandong Wang, Zhongang Qi, Ying Shan, Jie Tang:
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction. IEEE Trans. Knowl. Data Eng. 36(2): 518-529 (2024)
[j126]
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Xu Feng, Wenjian Yu, Yuyang Xie, Jie Tang:
Algorithm 1043: Faster Randomized SVD with Dynamic Shifts. ACM Trans. Math. Softw. 50(2): 14:1-14:27 (2024)
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Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang:
TriSampler: A Better Negative Sampling Principle for Dense Retrieval. AAAI 2024: 9269-9277
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  - conf/acl/ZengLLWLD024
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Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang:
AgentTuning: Enabling Generalized Agent Abilities for LLMs. ACL (Findings) 2024: 3053-3077
[c339]
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Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li:
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding. ACL (1) 2024: 3119-3137
[c338]
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  - conf/acl/ChengLZKWDTH24
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Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang:
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. ACL (1) 2024: 3201-3219
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Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi, Xiaotao Gu, Yuxiao Dong, Jie Tang:
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries. ACL (Findings) 2024: 7907-7928
[c336]
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Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, Jie Tang:
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration. ACL (Findings) 2024: 8841-8852
[c335]
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Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang:
AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) 2024: 11621-11640
[c334]
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Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, Jie Tang:
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking. ACL (1) 2024: 12348-12364
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Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. ACL (1) 2024: 13034-13054
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Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang:
SafetyBench: Evaluating the Safety of Large Language Models. ACL (1) 2024: 15537-15553
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Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxiao Dong, Ming Ding, Jie Tang:
CogAgent: A Visual Language Model for GUI Agents. CVPR 2024: 14281-14290
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Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang:
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion. ECCV (77) 2024: 1-22
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Zhuoyi Yang, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang:
Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer. ECCV (83) 2024: 141-156
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Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li:
LongAlign: A Recipe for Long Context Alignment of Large Language Models. EMNLP (Findings) 2024: 1376-1395
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Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
CharacterGLM: Customizing Social Characters with Large Language Models. EMNLP (Industry Track) 2024: 1457-1476
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Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. EMNLP (Findings) 2024: 6786-6803
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Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su:
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. EMNLP 2024: 7646-7663
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Yifan Xu, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li, Xiaohan Zhang, Zihan Wang, Aohan Zeng, Zhengxiao Du, Wenyi Zhao, Jie Tang, Yuxiao Dong:
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline. EMNLP (Findings) 2024: 9733-9760
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Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang:
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering. EMNLP 2024: 22600-22632
[c322]
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Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang:
AgentBench: Evaluating LLMs as Agents. ICLR 2024
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Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang:
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. ICLR 2024
[c320]
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Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li:
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR 2024
[c319]
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Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient Exact Optimization of Language Model Alignment. ICML 2024
[c318]
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Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang:
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. KDD 2024: 4467-4478
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Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang:
AutoWebGLM: A Large Language Model-based Web Navigating Agent. KDD 2024: 5295-5306
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Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang:
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. KDD 2024: 6214-6225
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Jie Tang, Yuxiao Dong, Michalis Vazirgiannis:
Generative AI Day. KDD 2024: 6699-6700
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  - conf/kdd/LakkarajuMT0X24
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Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie:
The First Workshop on AI Behavioral Science. KDD 2024: 6724-6725
[c313]
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Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song:
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training. NeurIPS 2024
[c312]
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Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song:
Training Compute-Optimal Protein Language Models. NeurIPS 2024
[c311]
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Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang:
Understanding Emergent Abilities of Language Models from the Loss Perspective. NeurIPS 2024
[c310]
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Zeyao Ma, Bohan Zhang, Jing Zhang, Jifan Yu, Xiaokang Zhang, Xiaohan Zhang, Sijia Luo, Xi Wang, Jie Tang:
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation. NeurIPS 2024
[c309]
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Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Keqin Chen, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang:
CogVLM: Visual Expert for Pretrained Language Models. NeurIPS 2024
[c308]
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Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang:
SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models. NeurIPS 2024
[c307]
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Dan Zhang, Sining Zhoubian, Ziniu Hu, Yisong Yue, Yuxiao Dong, Jie Tang:
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search. NeurIPS 2024
[c306]
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  - conf/sigir/BenderskyLM0TWZ24
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Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang:
The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR 2024: 3062-3064
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Junlin Huang, Huabing Lu, Jie Tang, Nan Zhao, Zhaoyuan Shi, Xianbin Wang:
NOMA Assisted Semi-Grant-Free Transmission in UAV Networks with Multi-User Scheduling. VTC Spring 2024: 1-5
[c304]
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Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang:
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM 2024: 1206-1207
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Bo Zhang, Jie Tang:
Challenges Toward AGI and Its Impact to the Web. WWW 2024: 4
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Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang:
RecDCL: Dual Contrastive Learning for Recommendation. WWW 2024: 3655-3666
[c301]
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Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang:
BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. WWW 2024: 4216-4226
[i182]
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  - journals/corr/abs-2401-06199
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Bo Chen, Xingyi Cheng, Pan Li, Yangli-ao Geng, Jing Gong, Shen Li, Zhilei Bei, Xu Tan, Boyan Wang, Xin Zeng, Chiming Liu, Aohan Zeng, Yuxiao Dong, Jie Tang, Le Song:
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein. CoRR abs/2401.06199 (2024)
[i181]
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  - journals/corr/abs-2401-06761
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Mingdao Liu, Aohan Zeng, Bowen Wang, Peng Zhang, Jie Tang, Yuxiao Dong:
APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding. CoRR abs/2401.06761 (2024)
[i180]
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  - journals/corr/abs-2401-07950
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Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang:
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning. CoRR abs/2401.07950 (2024)
[i179]
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  - journals/corr/abs-2401-15635
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Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang:
RecDCL: Dual Contrastive Learning for Recommendation. CoRR abs/2401.15635 (2024)
[i178]
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  - journals/corr/abs-2401-18058
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Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li:
LongAlign: A Recipe for Long Context Alignment of Large Language Models. CoRR abs/2401.18058 (2024)
[i177]
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  - journals/corr/abs-2402-00856
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Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient and Exact Optimization of Language Model Alignment. CoRR abs/2402.00856 (2024)
[i176]
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  - journals/corr/abs-2402-04236
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Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang:
CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations. CoRR abs/2402.04236 (2024)
[i175]
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  - journals/corr/abs-2402-11855
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Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang:
TriSampler: A Better Negative Sampling Principle for Dense Retrieval. CoRR abs/2402.11855 (2024)
[i174]
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  - journals/corr/abs-2402-14672
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Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su:
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. CoRR abs/2402.14672 (2024)
[i173]
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  - journals/corr/abs-2402-15810
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Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang:
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. CoRR abs/2402.15810 (2024)
[i172]
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  - journals/corr/abs-2402-16009
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Fanjin Zhang, Kun Cao, Yukuo Cen, Jifan Yu, Da Yin, Jie Tang:
PST-Bench: Tracing and Benchmarking the Source of Publications. CoRR abs/2402.16009 (2024)
[i171]
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  - journals/corr/abs-2402-17238
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Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang:
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications. CoRR abs/2402.17238 (2024)
[i170]
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  - journals/corr/abs-2403-05121
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Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang:
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion. CoRR abs/2403.05121 (2024)
[i169]
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  - journals/corr/abs-2403-14888
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Lilong Xue, Dan Zhang, Yuxiao Dong, Jie Tang:
AutoRE: Document-Level Relation Extraction with Large Language Models. CoRR abs/2403.14888 (2024)
[i168]
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  - journals/corr/abs-2403-15796
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Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang:
Understanding Emergent Abilities of Language Models from the Loss Perspective. CoRR abs/2403.15796 (2024)
[i167]
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  - journals/corr/abs-2403-19318
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Xiaokang Zhang, Jing Zhang, Zeyao Ma, Yang Li, Bohan Zhang, Guanlin Li, Zijun Yao, Kangli Xu, Jinchang Zhou, Daniel Zhang-Li, Jifan Yu, Shu Zhao, Juanzi Li, Jie Tang:
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios. CoRR abs/2403.19318 (2024)
[i166]
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  - journals/corr/abs-2404-00604
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Xiao Liu, Xixuan Song, Yuxiao Dong, Jie Tang:
Extensive Self-Contrast Enables Feedback-Free Language Model Alignment. CoRR abs/2404.00604 (2024)
[i165]
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  - journals/corr/abs-2404-00934
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Zhenyu Hou, Yilin Niu, Zhengxiao Du, Xiaohan Zhang, Xiao Liu, Aohan Zeng, Qinkai Zheng, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong:
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback. CoRR abs/2404.00934 (2024)
[i164]
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  - journals/corr/abs-2404-02893
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Yifan Xu, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li, Xiaohan Zhang, Zihan Wang, Aohan Zeng, Zhengxiao Du, Wenyi Zhao, Jie Tang, Yuxiao Dong:
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline. CoRR abs/2404.02893 (2024)
[i163]
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  - journals/corr/abs-2404-03648
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Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang:
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent. CoRR abs/2404.03648 (2024)
[i162]
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  - journals/corr/abs-2404-06742
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Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, Jie Tang:
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking. CoRR abs/2404.06742 (2024)
[i161]
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  - journals/corr/abs-2404-08322
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Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang:
BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. CoRR abs/2404.08322 (2024)
[i160]
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Xu Feng, Wenjian Yu, Yuyang Xie, Jie Tang:
Algorithm xxx: Faster Randomized SVD with Dynamic Shifts. CoRR abs/2404.09276 (2024)
[i159]
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  - journals/corr/abs-2405-04312
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Zhuoyi Yang, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang:
Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer. CoRR abs/2405.04312 (2024)
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Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi, Xiaotao Gu, Xiaohan Zhang, Yuxiao Dong, Jie Tang:
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts. CoRR abs/2405.04520 (2024)
[i157]
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  - journals/corr/abs-2405-15165
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Yuanchun Wang, Jifan Yu, Zijun Yao, Jing Zhang, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou, Juanzi Li, Jie Tang:
A Solution-based LLM API-using Methodology for Academic Information Seeking. CoRR abs/2405.15165 (2024)
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  - journals/corr/abs-2406-02953
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Zhenyu Hou, Haozhan Li, Yukuo Cen, Jie Tang, Yuxiao Dong:
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment. CoRR abs/2406.02953 (2024)
[i155]
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Dan Zhang, Sining Zhoubian, Yisong Yue, Yuxiao Dong, Jie Tang:
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search. CoRR abs/2406.03816 (2024)
[i154]
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  - journals/corr/abs-2406-05347
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Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song:
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training. CoRR abs/2406.05347 (2024)
[i153]
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Weihan Wang, Zehai He, Wenyi Hong, Yean Cheng, Xiaohan Zhang, Ji Qi, Shiyu Huang, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang:
LVBench: An Extreme Long Video Understanding Benchmark. CoRR abs/2406.08035 (2024)
[i152]
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Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Yuxiao Dong, Jie Tang:
LGB: Language Model and Graph Neural Network-Driven Social Bot Detection. CoRR abs/2406.08762 (2024)
[i151]
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Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Jie Tang, Jing Zhang, Juanzi Li, Lei Zhao, Lindong Wu, Lucen Zhong, Mingdao Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Rui Lu, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xiao Xia, Xiaohan Zhang, Xiaotao Gu, Xin Lv, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Xunkai Zhang, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, Zihan Wang:
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. CoRR abs/2406.12793 (2024)
[i150]
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Zeyao Ma, Bohan Zhang, Jing Zhang, Jifan Yu, Xiaokang Zhang, Xiaohan Zhang, Sijia Luo, Xi Wang, Jie Tang:
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation. CoRR abs/2406.14991 (2024)
[i149]
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Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. CoRR abs/2406.16714 (2024)
[i148]
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  - journals/corr/abs-2407-03978
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Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang:
Benchmarking Complex Instruction-Following with Multiple Constraints Composition. CoRR abs/2407.03978 (2024)
[i147]
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Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang:
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. CoRR abs/2407.15431 (2024)
[i146]
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  - journals/corr/abs-2407-18479
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Yuandong Wang, Xuhui Ren, Tong Chen, Yuxiao Dong, Nguyen Quoc Viet Hung, Jie Tang:
Multi-turn Response Selection with Commonsense-enhanced Language Models. CoRR abs/2407.18479 (2024)
[i145]
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  - journals/corr/abs-2408-06072
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Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Xiaotao Gu, Yuxuan Zhang, Weihan Wang, Yean Cheng, Ting Liu, Bin Xu, Yuxiao Dong, Jie Tang:
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer. CoRR abs/2408.06072 (2024)
[i144]
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  - journals/corr/abs-2408-06327
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Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Yifan Xu, Xixuan Song, Shudan Zhang, Hanyu Lai, Xinyi Liu, Hanlin Zhao, Jiadai Sun, Xinyue Yang, Yu Yang, Zehan Qi, Shuntian Yao, Xueqiao Sun, Siyi Cheng, Qinkai Zheng, Hao Yu, Hanchen Zhang, Wenyi Hong, Ming Ding, Lihang Pan, Xiaotao Gu, Aohan Zeng, Zhengxiao Du, Chan Hee Song, Yu Su, Yuxiao Dong, Jie Tang:
VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents. CoRR abs/2408.06327 (2024)
[i143]
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  - journals/corr/abs-2408-07055
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Yushi Bai, Jiajie Zhang, Xin Lv, Linzhi Zheng, Siqi Zhu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li:
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs. CoRR abs/2408.07055 (2024)
[i142]
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  - journals/corr/abs-2408-15778
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Jiayi Gui, Yiming Liu, Jiale Cheng, Xiaotao Gu, Xiao Liu, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang:
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models. CoRR abs/2408.15778 (2024)
[i141]
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  - journals/corr/abs-2408-15971
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Wei Wang, Dan Zhang, Tao Feng, Boyan Wang, Jie Tang:
BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems. CoRR abs/2408.15971 (2024)
[i140]
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  - journals/corr/abs-2408-16500
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Wenyi Hong, Weihan Wang, Ming Ding, Wenmeng Yu, Qingsong Lv, Yan Wang, Yean Cheng, Shiyu Huang, Junhui Ji, Zhao Xue, Lei Zhao, Zhuoyi Yang, Xiaotao Gu, Xiaohan Zhang, Guanyu Feng, Da Yin, Zihan Wang, Ji Qi, Xixuan Song, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Yuxiao Dong, Jie Tang:
CogVLM2: Visual Language Models for Image and Video Understanding. CoRR abs/2408.16500 (2024)
[i139]
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  - journals/corr/abs-2409-13729
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Zhen Yang, Jinhao Chen, Zhengxiao Du, Wenmeng Yu, Weihan Wang, Wenyi Hong, Zhihuan Jiang, Bin Xu, Yuxiao Dong, Jie Tang:
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model. CoRR abs/2409.13729 (2024)
[i138]
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Zhihuan Jiang, Zhen Yang, Jinhao Chen, Zhengxiao Du, Weihan Wang, Bin Xu, Yuxiao Dong, Jie Tang:
VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning. CoRR abs/2409.13730 (2024)
[i137]
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  - journals/corr/abs-2410-18050
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Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang:
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering. CoRR abs/2410.18050 (2024)
[i136]
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  - journals/corr/abs-2410-24024
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Yifan Xu, Xiao Liu, Xueqiao Sun, Siyi Cheng, Yun-Hao Liu, Hanyu Lai, Shudan Zhang, Dan Zhang, Jie Tang, Yuxiao Dong:
AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents. CoRR abs/2410.24024 (2024)
[i135]
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  - journals/corr/abs-2411-00820
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Xiao Liu, Bo Qin, Dongzhu Liang, Guang Dong, Hanyu Lai, Hanchen Zhang, Hanlin Zhao, Iat Long Iong, Jiadai Sun, Jiaqi Wang, Junjie Gao, Junjun Shan, Kangning Liu, Shudan Zhang, Shuntian Yao, Siyi Cheng, Wentao Yao, Wenyi Zhao, Xinghan Liu, Xinyi Liu, Xinying Chen, Xinyue Yang, Yang Yang, Yifan Xu, Yu Yang, Yujia Wang, Yulin Xu, Zehan Qi, Yuxiao Dong, Jie Tang:
AutoGLM: Autonomous Foundation Agents for GUIs. CoRR abs/2411.00820 (2024)
[i134]
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  - journals/corr/abs-2411-01602
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Yean Cheng, Ziqi Cai, Ming Ding, Wendi Zheng, Shiyu Huang, Yuxiao Dong, Jie Tang, Boxin Shi:
DreamPolish: Domain Score Distillation With Progressive Geometry Generation. CoRR abs/2411.01602 (2024)
[i133]
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  - journals/corr/abs-2411-02142
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Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song:
Training Compute-Optimal Protein Language Models. CoRR abs/2411.02142 (2024)
[i132]
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  - journals/corr/abs-2411-02337
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Zehan Qi, Xiao Liu, Iat Long Iong, Hanyu Lai, Xueqiao Sun, Wenyi Zhao, Yu Yang, Xinyue Yang, Jiadai Sun, Shuntian Yao, Tianjie Zhang, Wei Xu, Jie Tang, Yuxiao Dong:
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning. CoRR abs/2411.02337 (2024)
[i131]
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  - journals/corr/abs-2411-17607
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Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, Shengmin Jiang, Yuxiao Dong, Jie Tang:
Scaling Speech-Text Pre-training with Synthetic Interleaved Data. CoRR abs/2411.17607 (2024)
[i130]
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  - journals/corr/abs-2412-02612
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Aohan Zeng, Zhengxiao Du, Mingdao Liu, Kedong Wang, Shengmin Jiang, Lei Zhao, Yuxiao Dong, Jie Tang:
GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot. CoRR abs/2412.02612 (2024)
[i129]
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  - journals/corr/abs-2412-03930
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Yunhe Pang, Bo Chen, Fanjin Zhang, Yanghui Rao, Jie Tang:
MIND: Effective Incorrect Assignment Detection through a Multi-Modal Structure-Enhanced Language Model. CoRR abs/2412.03930 (2024)
[i128]
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  - journals/corr/abs-2412-06000
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Zhenyu Hou, Pengfan Du, Yilin Niu, Zhengxiao Du, Aohan Zeng, Xiao Liu, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong:
Does RLHF Scale? Exploring the Impacts From Data, Model, and Method. CoRR abs/2412.06000 (2024)
[i127]
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  - journals/corr/abs-2412-11145
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Minlie Huang, Yingkang Wang, Shiyao Cui, Pei Ke, Jie Tang:
The Superalignment of Superhuman Intelligence with Large Language Models. CoRR abs/2412.11145 (2024)
[i126]
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  - journals/corr/abs-2412-11605
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Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang:
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. CoRR abs/2412.11605 (2024)
[i125]
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  - journals/corr/abs-2412-15204
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Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang, Xin Lv, Shulin Cao, Jiazheng Xu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li:
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks. CoRR abs/2412.15204 (2024)
[i124]
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  - journals/corr/abs-2412-21059
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Jiazheng Xu, Yu Huang, Jiale Cheng, Yuanming Yang, Jiajun Xu, Yuan Wang, Wenbo Duan, Shen Yang, Qunlin Jin, Shurun Li, Jiayan Teng, Zhuoyi Yang, Wendi Zheng, Xiao Liu, Ming Ding, Xiaohan Zhang, Xiaotao Gu, Shiyu Huang, Minlie Huang, Jie Tang, Yuxiao Dong:
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation. CoRR abs/2412.21059 (2024)
2023
[j125]
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Bo Chen, Ziwei Xie, Jiezhong Qiu, Zhaofeng Ye, Jinbo Xu, Jie Tang:
Improved the heterodimer protein complex prediction with protein language models. Briefings Bioinform. 24(4) (2023)
[j124]
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  - journals/jdi/LiHXLLT23
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Ye Li, Yuanzheng Hou, Li Xiaoyan, Qiongge Li, Jie Lu, Jie Tang:
Quantitative Validation of the Correlation Between Optimized Pyramidal Tract Delineation After Brain Shift Compensation and Direct Electrical Subcortical Stimulation During Brain Tumor Surgery. J. Imaging Inform. Medicine 36(5): 1974-1986 (2023)
[j123]
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Huan-jing Zhao, Pinde Rui, Jie Chen, Yanping Zhang, Yi Wang, Shu Zhao, Jie Tang:
HINChip: Heterogeneous Information Network Representation with Community Hierarchy Preserving. Knowl. Based Syst. 264: 110343 (2023)
[j122]
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  - journals/mbec/BoulengerLZZGXZT23
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Alexandre Boulenger, Yanwen Luo, Chenhui Zhang, Chenyang Zhao, Yuanjing Gao, Mengsu Xiao, Qingli Zhu, Jie Tang:
Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images. Medical Biol. Eng. Comput. 61(2): 567-578 (2023)
[j121]
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Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun:
Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. 5(3): 220-235 (2023)
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Da Yin, Weng Lam Tam, Ming Ding, Jie Tang:
MRT: Tracing the Evolution of Scientific Publications. IEEE Trans. Knowl. Data Eng. 35(1): 711-724 (2023)
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Xiao Liu, Fanjin Zhang, Zhenyu Hou, Li Mian, Zhaoyu Wang, Jing Zhang, Jie Tang:
Self-Supervised Learning: Generative or Contrastive. IEEE Trans. Knowl. Data Eng. 35(1): 857-876 (2023)
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Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang:
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. 35(2): 1283-1295 (2023)
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Xiao Liu, Li Mian, Yuxiao Dong, Fanjin Zhang, Jing Zhang, Jie Tang, Peng Zhang, Jibing Gong, Kuansan Wang:
OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(2): 1895-1908 (2023)
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Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, Jie Tang:
Automated Unsupervised Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(3): 2285-2298 (2023)
[j115]
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Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu:
Hierarchical Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2641-2656 (2023)
[j114]
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Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang:
Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 6264-6277 (2023)
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Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang:
GCCAD: Graph Contrastive Coding for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(8): 8037-8051 (2023)
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Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, Rui Li, Kuansan Wang:
OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(9): 9225-9239 (2023)
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Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang:
Towards Lightweight and Automated Representation Learning System for Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9613-9627 (2023)
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Yuyang Xie, Yuxiao Dong, Jiezhong Qiu, Wenjian Yu, Xu Feng, Jie Tang:
SketchNE: Embedding Billion-Scale Networks Accurately in One Hour. IEEE Trans. Knowl. Data Eng. 35(10): 10666-10680 (2023)
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Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang:
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. ACM Trans. Web 17(3): 22:1-22:27 (2023)
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Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, Jie Tang:
MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis. AAAI 2023: 14241-14248
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  - conf/acl/TanTWGZZT23a
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Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang:
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. ACL (industry) 2023: 134-148
[c298]
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Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang:
Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method. ACL (Findings) 2023: 9678-9696
[c297]
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Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Jie Tang:
Detecting Social Bot on the Fly using Contrastive Learning. CIKM 2023: 4995-5001
[c296]
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Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li, Jie Tang:
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. CIKM 2023: 5391-5395
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Weng Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Jiahua Liu, Tao Li, Yuxiao Dong, Jie Tang:
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. EMNLP (Findings) 2023: 13117-13130
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Zeyao Ma, Zijun Yao, Jing Zhang, Jifan Yu, Xiaohan Zhang, Juanzi Li, Jie Tang:
FFAEval: Evaluating Dialogue System via Free-For-All Ranking. EMNLP (Findings) 2023: 15672-15684
[c293]
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Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang:
Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). ICDE 2023: 3821-3822
[c292]
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Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang:
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers. ICLR 2023
[c291]
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Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, Jie Tang:
GLM-130B: An Open Bilingual Pre-trained Model. ICLR 2023
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  - conf/ispec2/LiuZZCWLYTWX23
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Dongguo Liu, Fang Zhao, Fuzhou Zhang, Wen Chen, Jixiang Wang, Gang Liu, Li Yi, Jie Tang, Haibin Wang, Jing Xu:
Research and device development based on broadband and wide-range current transformer compensation technology. iSPEC 2023: 1-5
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Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang:
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. KDD 2023: 3057-3069
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Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang:
WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. KDD 2023: 3650-3662
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Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang:
Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit. KDD 2023: 3817-3828
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Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang:
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. KDD 2023: 4549-4560
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Jing Zhang, Xiaokang Zhang, Daniel Zhang-Li, Jifan Yu, Zijun Yao, Zeyao Ma, Yiqi Xu, Haohua Wang, Xiaohan Zhang, Nianyi Lin, Sunrui Lu, Juanzi Li, Jie Tang:
GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation. KDD 2023: 5564-5575
[c284]
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Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang:
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X. KDD 2023: 5673-5684
[c283]
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Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong:
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation. NeurIPS 2023
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Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang:
Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks. ECML/PKDD (6) 2023: 207-224
[c281]
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Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang:
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. SIGIR 2023: 2924-2934
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  - conf/www/HouHCLDK023
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Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. WWW 2023: 737-746
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Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758
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Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang:
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. WWW 2023: 759-769
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  - conf/www/2023
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Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben:
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. ACM 2023, ISBN 978-1-4503-9416-1 [contents]
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Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben:
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. ACM 2023, ISBN 978-1-4503-9419-2 [contents]
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  - journals/corr/abs-2302-07084
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Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang:
Towards Lightweight and Automated Representation Learning System for Networks. CoRR abs/2302.07084 (2023)
[i122]
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  - journals/corr/abs-2302-11848
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Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang:
Web-Scale Academic Name Disambiguation: the WhoIsWho Benchmark, Leaderboard, and Toolkit. CoRR abs/2302.11848 (2023)
[i121]
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  - journals/corr/abs-2302-14401
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Jing Zhang, Xiaokang Zhang, Daniel Zhang-li, Jifan Yu, Zijun Yao, Zeyao Ma, Yiqi Xu, Haohua Wang, Xiaohan Zhang, Nianyi Lin, Sunrui Lu, Juanzi Li, Jie Tang:
GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation. CoRR abs/2302.14401 (2023)
[i120]
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  - journals/corr/abs-2303-14655
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Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Yuxiao Dong, Bin Xu, Lei Hou, Juanzi Li, Jie Tang, Weidong Guo, Hui Liu, Yu Xu:
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. CoRR abs/2303.14655 (2023)
[i119]
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  - journals/corr/abs-2303-17568
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Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang:
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X. CoRR abs/2303.17568 (2023)
[i118]
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  - journals/corr/abs-2304-02205
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Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang:
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. CoRR abs/2304.02205 (2023)
[i117]
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  - journals/corr/abs-2304-04779
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Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. CoRR abs/2304.04779 (2023)
[i116]
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  - journals/corr/abs-2304-05977
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Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong:
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation. CoRR abs/2304.05977 (2023)
[i115]
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  - journals/corr/abs-2305-15262
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Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, Jie Tang:
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration. CoRR abs/2305.15262 (2023)
[i114]
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  - journals/corr/abs-2306-03355
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Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang:
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. CoRR abs/2306.03355 (2023)
[i113]
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  - journals/corr/abs-2306-06625
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Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang:
Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method. CoRR abs/2306.06625 (2023)
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  - journals/corr/abs-2306-06629
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Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Yang Yang, Hongyin Tang, Keqing He, Jiahao Liu, Jingang Wang, Shu Zhao, Peng Zhang, Jie Tang:
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. CoRR abs/2306.06629 (2023)
[i111]
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  - journals/corr/abs-2306-07906
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Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang:
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. CoRR abs/2306.07906 (2023)
[i110]
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  - journals/corr/abs-2306-09296
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Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Nianyi Lin, Kaifeng Yun, Linlu Gong, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li:
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. CoRR abs/2306.09296 (2023)
[i109]
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  - journals/corr/abs-2308-03688
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Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang:
AgentBench: Evaluating LLMs as Agents. CoRR abs/2308.03688 (2023)
[i108]
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  - journals/corr/abs-2308-14508
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Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li:
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding. CoRR abs/2308.14508 (2023)
[i107]
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  - journals/corr/abs-2309-03241
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Zhen Yang, Ming Ding, Qingsong Lv, Zhihuan Jiang, Zehai He, Yuyi Guo, Jinfeng Bai, Jie Tang:
GPT Can Solve Mathematical Problems Without a Calculator. CoRR abs/2309.03241 (2023)
[i106]
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  - journals/corr/abs-2309-03350
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Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang:
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. CoRR abs/2309.03350 (2023)
[i105]
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  - journals/corr/abs-2309-07045
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Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang:
SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions. CoRR abs/2309.07045 (2023)
[i104]
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  - journals/corr/abs-2310-12823
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Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang:
AgentTuning: Enabling Generalized Agent Abilities for LLMs. CoRR abs/2310.12823 (2023)
[i103]
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  - journals/corr/abs-2311-03079
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Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang:
CogVLM: Visual Expert for Pretrained Language Models. CoRR abs/2311.03079 (2023)
[i102]
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  - journals/corr/abs-2311-04155
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Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang:
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. CoRR abs/2311.04155 (2023)
[i101]
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  - journals/corr/abs-2311-16832
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Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Jie Tang, Minlie Huang:
CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models. CoRR abs/2311.16832 (2023)
[i100]
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  - journals/corr/abs-2311-18702
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Pei Ke, Bosi Wen, Zhuoer Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation. CoRR abs/2311.18702 (2023)
[i99]
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  - journals/corr/abs-2311-18743
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Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang:
AlignBench: Benchmarking Chinese Alignment of Large Language Models. CoRR abs/2311.18743 (2023)
[i98]
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  - journals/corr/abs-2312-08914
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Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxuan Zhang, Juanzi Li, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang:
CogAgent: A Visual Language Model for GUI Agents. CoRR abs/2312.08914 (2023)
2022
[j108]
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Shu Zhao, Jialin Chen, Jie Chen, Yanping Zhang, Jie Tang:
Hierarchical label with imbalance and attributed network structure fusion for network embedding. AI Open 3: 91-100 (2022)
[j107]
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  - journals/entropy/TangML22
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Jie Tang, Song-Ya Ma, Qi Li:
Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States. Entropy 24(8): 1077 (2022)
[j106]
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Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, Cuiping Li:
CONNA: Addressing Name Disambiguation on the Fly. IEEE Trans. Knowl. Data Eng. 34(7): 3139-3152 (2022)
[j105]
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Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang:
Modelling High-Order Social Relations for Item Recommendation. IEEE Trans. Knowl. Data Eng. 34(9): 4385-4397 (2022)
[j104]
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Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu:
Understanding WeChat User Preferences and "Wow" Diffusion. IEEE Trans. Knowl. Data Eng. 34(12): 6033-6046 (2022)
[c277]
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Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang:
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking. AAAI 2022: 11846-11854
[c276]
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Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Tam, Zhengxiao Du, Zhilin Yang, Jie Tang:
P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks. ACL (2) 2022: 61-68
[c275]
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Daniel Zhang-li, Jing Zhang, Jifan Yu, Xiaokang Zhang, Peng Zhang, Jie Tang, Juanzi Li:
HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese. ACL (demo) 2022: 214-223
[c274]
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Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang:
GLM: General Language Model Pretraining with Autoregressive Blank Infilling. ACL (1) 2022: 320-335
[c273]
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Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Li Jian, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang:
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. ACL (1) 2022: 501-516
[c272]
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Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
DeepStruct: Pretraining of Language Models for Structure Prediction. ACL (Findings) 2022: 803-823
[c271]
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  - conf/acl/ZhangZY000C22
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Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen:
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. ACL (1) 2022: 5773-5784
[c270]
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Jing Zhou, Yanan Zheng, Jie Tang, Li Jian, Zhilin Yang:
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. ACL (1) 2022: 8646-8665
[c269]
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  - conf/emnlp/YangDGLT22
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Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, Jie Tang:
Parameter-Efficient Tuning Makes a Good Classification Head. EMNLP 2022: 7576-7586
[c268]
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  - conf/icde/ZhaoDCZTY22
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Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu:
Hierarchical Representation Learning for Attributed Networks. ICDE 2022: 1497-1498
[c267]
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Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung:
GACT: Activation Compressed Training for Generic Network Architectures. ICML 2022: 14139-14152
[c266]
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Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang:
Rethinking the Setting of Semi-supervised Learning on Graphs. IJCAI 2022: 3243-3249
[c265]
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  - conf/kdd/HouLCDYW022
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Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang:
GraphMAE: Self-Supervised Masked Graph Autoencoders. KDD 2022: 594-604
[c264]
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  - conf/kdd/LiuZSCQZ0DT22
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Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang:
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. KDD 2022: 1120-1130
[c263]
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Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang:
OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. KDD 2022: 3418-3428
[c262]
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Jifan Yu, Xiaohan Zhang, Yifan Xu, Xuanyu Lei, Xinyu Guan, Jing Zhang, Lei Hou, Juanzi Li, Jie Tang:
XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation. KDD 2022: 4422-4432
[c261]
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Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu:
Toward Graph Minimally-Supervised Learning. KDD 2022: 4782-4783
[c260]
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Ming Ding, Wendi Zheng, Wenyi Hong, Jie Tang:
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers. NeurIPS 2022
[c259]
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  - conf/ppopp/MaHQCWSZWTZLFHG22
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Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen:
BaGuaLu: targeting brain scale pretrained models with over 37 million cores. PPoPP 2022: 192-204
[c258]
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  - conf/www/LiuHWCKD022
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Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang:
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. WWW 2022: 860-870
[c257]
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  - conf/www/YangDXY022
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Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang:
STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. WWW 2022: 3217-3228
[c256]
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  - conf/www/FengDHYCK022
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Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang:
GRAND+: Scalable Graph Random Neural Networks. WWW 2022: 3248-3258
[i97]
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  - journals/corr/abs-2201-05349
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Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua:
Training Free Graph Neural Networks for Graph Matching. CoRR abs/2201.05349 (2022)
[i96]
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  - journals/corr/abs-2202-13296
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Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen:
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. CoRR abs/2202.13296 (2022)
[i95]
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  - journals/corr/abs-2203-01044
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Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang:
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. CoRR abs/2203.01044 (2022)
[i94]
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Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang:
GRAND+: Scalable Graph Random Neural Networks. CoRR abs/2203.06389 (2022)
[i93]
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  - journals/corr/abs-2203-06904
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Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun:
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. CoRR abs/2203.06904 (2022)
[i92]
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  - journals/corr/abs-2203-11011
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Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang:
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. CoRR abs/2203.11011 (2022)
[i91]
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  - journals/corr/abs-2204-14217
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Ming Ding, Wendi Zheng, Wenyi Hong, Jie Tang:
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers. CoRR abs/2204.14217 (2022)
[i90]
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  - journals/corr/abs-2205-10475
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Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
DeepStruct: Pretraining of Language Models for Structure Prediction. CoRR abs/2205.10475 (2022)
[i89]
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Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang:
GraphMAE: Self-Supervised Masked Graph Autoencoders. CoRR abs/2205.10803 (2022)
[i88]
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Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang:
Rethinking the Setting of Semi-supervised Learning on Graphs. CoRR abs/2205.14403 (2022)
[i87]
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  - journals/corr/abs-2205-15868
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Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang:
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers. CoRR abs/2205.15868 (2022)
[i86]
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  - journals/corr/abs-2206-11357
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Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung:
GACT: Activation Compressed Training for General Architectures. CoRR abs/2206.11357 (2022)
[i85]
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  - journals/corr/abs-2207-07087
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Weng Lam Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Xingjian Zhang, Yuxiao Dong, Jiahua Liu, Maodi Hu, Jie Tang:
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. CoRR abs/2207.07087 (2022)
[i84]
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Qingyang Zhong, Jifan Yu, Zheyuan Zhang, Yiming Mao, Yuquan Wang, Yankai Lin, Lei Hou, Juanzi Li, Jie Tang:
Towards a General Pre-training Framework for Adaptive Learning in MOOCs. CoRR abs/2208.04708 (2022)
[i83]
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  - journals/corr/abs-2208-07638
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Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang:
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. CoRR abs/2208.07638 (2022)
[i82]
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  - journals/corr/abs-2210-02414
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Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Peng Zhang, Yuxiao Dong, Jie Tang:
GLM-130B: An Open Bilingual Pre-trained Model. CoRR abs/2210.02414 (2022)
[i81]
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Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, Jie Tang:
Parameter-Efficient Tuning Makes a Good Classification Head. CoRR abs/2210.16771 (2022)
2021
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Xueyi Liu, Jie Tang:
Network representation learning: A macro and micro view. AI Open 2: 43-64 (2021)
[j102]
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Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, Jie Tang:
WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models. AI Open 2: 65-68 (2021)
[j101]
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Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A large-scale generative Chinese Pre-trained language model. AI Open 2: 93-99 (2021)
[j100]
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Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-trained models: Past, present and future. AI Open 2: 225-250 (2021)
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Jing Zhang, Jie Tang:
Name disambiguation in AMiner. Sci. China Inf. Sci. 64(4) (2021)
[j98]
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Zhengyang Song, Jie Tang, Tracy Xiao Liu, Wenjiang Zheng, Lili Wu, Wenzheng Feng, Jing Zhang:
XiaoMu: an AI-driven assistant for MOOCs. Sci. China Inf. Sci. 64(6) (2021)
[j97]
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Zhongying Zhao, Hui Zhou, Chao Li, Jie Tang, Qingtian Zeng:
DeepEmLAN: Deep embedding learning for attributed networks. Inf. Sci. 543: 382-397 (2021)
[j96]
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Zhen Duan, Xian Sun, Shu Zhao, Jie Chen, Yanping Zhang, Jie Tang:
Hierarchical community structure preserving approach for network embedding. Inf. Sci. 546: 1084-1096 (2021)
[j95]
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Haodong Zou, Zhen Duan, Xinru Guo, Shu Zhao, Jie Chen, Yanping Zhang, Jie Tang:
On embedding sequence correlations in attributed network for semi-supervised node classification. Inf. Sci. 562: 385-397 (2021)
[j94]
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  - journals/scientometrics/JinYSHT21
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Yinyu Jin, Sha Yuan, Zhou Shao, Wendy Hall, Jie Tang:
Turing Award elites revisited: patterns of productivity, collaboration, authorship and impact. Scientometrics 126(3): 2329-2348 (2021)
[j93]
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Wendy Hall, Noshir Contractor, Jie Tang:
ACM Web Science Conference 2021: conference report. SIGWEB Newsl. 2021(Autumn): 1:1-1:4 (2021)
[j92]
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Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. IEEE Trans. Knowl. Data Eng. 33(6): 2493-2504 (2021)
[j91]
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Zhengxiao Du, Jie Tang, Yuhui Ding:
POLAR++: Active One-Shot Personalized Article Recommendation. IEEE Trans. Knowl. Data Eng. 33(6): 2709-2722 (2021)
[c255]
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  - conf/cikm/YuWZLMSFXCZY0LL21
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Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun:
MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. CIKM 2021: 4643-4652
[c254]
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Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. EMNLP (1) 2021: 1225-1238
[c253]
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  - conf/globecom/FangC0TC21
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Sisai Fang, Gaojie Chen, Peng Xu, Jie Tang, Jonathon A. Chambers:
SINR Maximization for RIS-Assisted Secure Dual-Function Radar Communication Systems. GLOBECOM 2021: 1-6
[c252]
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Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov:
Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. IJCAI 2021: 1555-1562
[c251]
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  - conf/kdd/HuangDDYFW021
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Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang:
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. KDD 2021: 665-674
[c250]
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Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang:
Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. KDD 2021: 1150-1160
[c249]
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Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang:
Controllable Generation from Pre-trained Language Models via Inverse Prompting. KDD 2021: 2450-2460
[c248]
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Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang:
TDGIA: Effective Injection Attacks on Graph Neural Networks. KDD 2021: 2461-2471
[c247]
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Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang:
M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. KDD 2021: 3251-3261
[c246]
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Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu:
Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD 2021: 4044-4045
[c245]
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Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang:
The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021). KDD 2021: 4119-4120
[c244]
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Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang:
CogView: Mastering Text-to-Image Generation via Transformers. NeurIPS 2021: 19822-19835
[c243]
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Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, Jie Tang:
Adaptive Diffusion in Graph Neural Networks. NeurIPS 2021: 23321-23333
[c242]
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Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng:
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. NeurIPS 2021: 23609-23620
[c241]
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Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang:
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. NeurIPS 2021: 27196-27208
[c240]
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Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang:
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. NeurIPS Datasets and Benchmarks 2021
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  - conf/sigmod/QiuD0P021
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Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, Chi Wang:
LightNE: A Lightweight Graph Processing System for Network Embedding. SIGMOD Conference 2021: 2281-2289
[c238]
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  - conf/wise/WangWMYZHLT21
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Yuquan Wang, Yanpeng Wang, Yiming Mao, Jifan Yu, Kaisheng Zeng, Lei Hou, Juanzi Li, Jie Tang:
Expertise-Aware Crowdsourcing Taxonomy Enrichment. WISE (1) 2021: 14-29
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Clare Hooper, Matthew Weber, Katrin Weller, Wendy Hall, Noshir Contractor, Jie Tang:
WebSci '21: 13th ACM Web Science Conference 2021, Virtual Event, United Kingdom, June 21-25, 2021. ACM 2021, ISBN 978-1-4503-8330-1 [contents]
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Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia:
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. ACM / IW3C2 2021, ISBN 978-1-4503-8312-7 [contents]
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Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia:
Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. ACM / IW3C2 2021, ISBN 978-1-4503-8313-4 [contents]
[i80]
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  - journals/corr/abs-2103-00823
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Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang:
M6: A Chinese Multimodal Pretrainer. CoRR abs/2103.00823 (2021)
[i79]
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  - journals/corr/abs-2103-00959
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Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR abs/2103.00959 (2021)
[i78]
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  - journals/corr/abs-2103-02410
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Xiao Liu, Da Yin, Xingjian Zhang, Kai Su, Kan Wu, Hongxia Yang, Jie Tang:
OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models. CoRR abs/2103.02410 (2021)
[i77]
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  - journals/corr/abs-2103-02930
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Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu:
Understanding WeChat User Preferences and "Wow" Diffusion. CoRR abs/2103.02930 (2021)
[i76]
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  - journals/corr/abs-2103-10360
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Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang:
All NLP Tasks Are Generation Tasks: A General Pretraining Framework. CoRR abs/2103.10360 (2021)
[i75]
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Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang:
GPT Understands, Too. CoRR abs/2103.10385 (2021)
[i74]
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  - journals/corr/abs-2103-10685
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Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang:
Controllable Generation from Pre-trained Language Models via Inverse Prompting. CoRR abs/2103.10685 (2021)
[i73]
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  - journals/corr/abs-2103-13262
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Jiaao He, Jiezhong Qiu, Aohan Zeng, Zhilin Yang, Jidong Zhai, Jie Tang:
FastMoE: A Fast Mixture-of-Expert Training System. CoRR abs/2103.13262 (2021)
[i72]
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  - journals/corr/abs-2105-13290
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Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang:
CogView: Mastering Text-to-Image Generation via Transformers. CoRR abs/2105.13290 (2021)
[i71]
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  - journals/corr/abs-2105-14211
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Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang:
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. CoRR abs/2105.14211 (2021)
[i70]
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  - journals/corr/abs-2106-06663
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Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang:
TDGIA: Effective Injection Attacks on Graph Neural Networks. CoRR abs/2106.06663 (2021)
[i69]
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  - journals/corr/abs-2106-07139
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Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-Trained Models: Past, Present and Future. CoRR abs/2106.07139 (2021)
[i68]
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  - journals/corr/abs-2106-11534
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Yinyu Jin, Sha Yuan, Zhou Shao, Wendy Hall, Jie Tang:
Turing Award elites revisited: patterns of productivity, collaboration, authorship and impact. CoRR abs/2106.11534 (2021)
[i67]
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  - journals/corr/abs-2108-01547
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Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang:
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training. CoRR abs/2108.01547 (2021)
[i66]
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  - journals/corr/abs-2108-06332
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Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, Zhilin Yang:
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. CoRR abs/2108.06332 (2021)
[i65]
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  - journals/corr/abs-2108-07435
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Yijia Xiao, Jiezhong Qiu, Ziang Li, Chang-Yu Hsieh, Jie Tang:
Modeling Protein Using Large-scale Pretrain Language Model. CoRR abs/2108.07435 (2021)
[i64]
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  - journals/corr/abs-2108-07516
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Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang:
GCCAD: Graph Contrastive Coding for Anomaly Detection. CoRR abs/2108.07516 (2021)
[i63]
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  - journals/corr/abs-2109-11171
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Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. CoRR abs/2109.11171 (2021)
[i62]
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  - journals/corr/abs-2109-12742
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Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang:
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. CoRR abs/2109.12742 (2021)
[i61]
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  - journals/corr/abs-2110-07602
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Xiao Liu, Kaixuan Ji, Yicheng Fu, Zhengxiao Du, Zhilin Yang, Jie Tang:
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks. CoRR abs/2110.07602 (2021)
[i60]
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  - journals/corr/abs-2110-12782
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Yuyang Xie, Jiezhong Qiu, Wenjian Yu, Xu Feng, Yuxiang Chen, Jie Tang:
NetMF+: Network Embedding Based on Fast and Effective Single-Pass Randomized Matrix Factorization. CoRR abs/2110.12782 (2021)
[i59]
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  - journals/corr/abs-2111-04314
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Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang:
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. CoRR abs/2111.04314 (2021)
[i58]
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  - journals/corr/abs-2111-10772
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Xueyi Liu, Jie Tang:
Network representation learning: A macro and micro view. CoRR abs/2111.10772 (2021)
[i57]
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  - journals/corr/abs-2112-04319
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Chenhui Zhang, Yufei He, Yukuo Cen, Zhenyu Hou, Jie Tang:
Improving the Training of Graph Neural Networks with Consistency Regularization. CoRR abs/2112.04319 (2021)
[i56]
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  - journals/corr/abs-2112-14936
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Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang:
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks. CoRR abs/2112.14936 (2021)
[i55]
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  - journals/dagstuhl-reports/DongR0TH21
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Tiansi Dong, Achim Rettinger, Jie Tang, Barbara Tversky, Frank van Harmelen:
Structure and Learning (Dagstuhl Seminar 21362). Dagstuhl Reports 11(8): 11-34 (2021)
2020
[j90]
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  - journals/aiopen/Tang20
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Jie Tang:
AI OPEN inaugural editorial. AI Open 1: 1 (2020)
[j89]
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  - journals/air/YuanZTHC20
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Sha Yuan, Yu Zhang, Jie Tang, Wendy Hall, Juan Bautista Cabotà:
Expert finding in community question answering: a review. Artif. Intell. Rev. 53(2): 843-874 (2020)
[j88]
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  - journals/scientometrics/YuanSWTHWWW20
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Sha Yuan, Zhou Shao, Xingxing Wei, Jie Tang, Wendy Hall, Yongli Wang, Ying Wang, Ye Wang:
Science behind AI: the evolution of trend, mobility, and collaboration. Scientometrics 124(2): 993-1013 (2020)
[j87]
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  - journals/scientometrics/LiuCTZL20
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Huai-Lan Liu, Zhiwang Chen, Jie Tang, Yuan Zhou, Sheng Liu:
Mapping the technology evolution path: a novel model for dynamic topic detection and tracking. Scientometrics 125(3): 2043-2090 (2020)
[j86]
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  - journals/scientometrics/ChenCZZT20
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Jie Chen, Jialin Chen, Shu Zhao, Yanping Zhang, Jie Tang:
Exploiting word embedding for heterogeneous topic model towards patent recommendation. Scientometrics 125(3): 2091-2108 (2020)
[j85]
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  - journals/tbd/Tang20
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Jie Tang:
Message from the Incoming Editor-in-Chief. IEEE Trans. Big Data 6(1): 2 (2020)
[j84]
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  - journals/tetci/YuanZT20
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Yuan Yuan, Xuyun Zhang, Jie Tang:
Guest Editorial Special Issue on Privacy and Security in Computational Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 4(5): 590-592 (2020)
[j83]
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  - journals/tkdd/ZhangTTXF20
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Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Trans. Knowl. Discov. Data 14(4): 38:1-38:26 (2020)
[j82]
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Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, Jie Tang:
Trust Relationship Prediction in Alibaba E-Commerce Platform. IEEE Trans. Knowl. Data Eng. 32(5): 1024-1035 (2020)
[j81]
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  - journals/tois/ZhangZDCZT20
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Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yanping Zhang, Jie Tang:
A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation. ACM Trans. Inf. Syst. 38(1): 5:1-5:20 (2020)
[c237]
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  - conf/acl/YuLXZWFLWHLLT20
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Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang:
MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. ACL 2020: 3135-3142
[c236]
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  - conf/emnlp/QiuMLYW020
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Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang:
Blockwise Self-Attention for Long Document Understanding. EMNLP (Findings) 2020: 2555-2565
[c235]
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  - conf/ijcai/DongHWS020
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Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang:
Heterogeneous Network Representation Learning. IJCAI 2020: 4861-4867
[c234]
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  - conf/ijcnlp/YuWLHLTHL20
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Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Minlie Huang, Zhiyuan Liu:
ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs. AACL/IJCNLP 2020: 770-780
[c233]
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  - conf/kdd/QiuCDZYDWT20
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Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang:
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. KDD 2020: 1150-1160
[c232]
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  - conf/kdd/YangDZYZT20
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Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. KDD 2020: 1666-1676
[c231]
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  - conf/kdd/CenZZZYT20
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Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. KDD 2020: 2942-2951
[c230]
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  - conf/nips/DingZY020
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Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang:
CogLTX: Applying BERT to Long Texts. NeurIPS 2020
[c229]
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Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang:
Graph Random Neural Networks for Semi-Supervised Learning on Graphs. NeurIPS 2020
[c228]
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Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang:
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices. NeurIPS 2020
[c227]
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  - conf/sigir/Gong0WFP0Y20
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Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu:
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. SIGIR 2020: 79-88
[c226]
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  - conf/websci/YuanSLTHLZ20
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Sha Yuan, Zhou Shao, Yangxiao Liang, Jie Tang, Wendy Hall, Gang Liu, Yutian Zhang:
International Scientific Collaboration in Artificial Intelligence An Analysis based on Web Data. WebSci 2020: 69-75
[c225]
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Zhou Shao, Zhenting Shen, Sha Yuan, Jie Tang, Yongli Wang, Lili Wu, Wenjiang Zheng:
AI 2000: A Decade of Artificial Intelligence. WebSci 2020: 345-354
[i54]
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  - journals/corr/abs-2003-10149
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Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang:
Modelling High-Order Social Relations for Item Recommendation. CoRR abs/2003.10149 (2020)
[i53]
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  - journals/corr/abs-2005-09347
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Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. CoRR abs/2005.09347 (2020)
[i52]
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  - journals/corr/abs-2005-09863
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Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. CoRR abs/2005.09863 (2020)
[i51]
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  - journals/corr/abs-2005-11079
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Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang:
Graph Random Neural Network. CoRR abs/2005.11079 (2020)
[i50]
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  - journals/corr/abs-2005-14256
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Sha Yuan, Zhou Shao, Yu Zhang, Xingxing Wei, Tong Xiao, Yifan Wang, Jie Tang:
Attention: to Better Stand on the Shoulders of Giants. CoRR abs/2005.14256 (2020)
[i49]
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  - journals/corr/abs-2006-08218
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Xiao Liu, Fanjin Zhang, Zhenyu Hou, Zhaoyu Wang, Li Mian, Jing Zhang, Jie Tang:
Self-supervised Learning: Generative or Contrastive. CoRR abs/2006.08218 (2020)
[i48]
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  - journals/corr/abs-2006-09963
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Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang:
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. CoRR abs/2006.09963 (2020)
[i47]
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  - journals/corr/abs-2006-13257
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Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu:
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. CoRR abs/2006.13257 (2020)
[i46]
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  - journals/corr/abs-2007-02086
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Zhuoyue Xiao, Yutao Zhang, Bo Chen, Xiaozhao Liu, Jie Tang:
A framework for constructing a huge name disambiguation dataset: algorithms, visualization and human collaboration. CoRR abs/2007.02086 (2020)
[i45]
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  - journals/corr/abs-2008-02464
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Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang:
Concentration Bounds for Co-occurrence Matrices of Markov Chains. CoRR abs/2008.02464 (2020)
[i44]
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  - journals/corr/abs-2012-00413
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Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, YuSheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A Large-scale Generative Chinese Pre-trained Language Model. CoRR abs/2012.00413 (2020)
[i43]
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  - journals/corr/abs-2012-11336
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Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang:
COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking. CoRR abs/2012.11336 (2020)

2010 – 2019

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2019
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Huaiyu Wan, Yutao Zhang, Jing Zhang, Jie Tang:
AMiner: Search and Mining of Academic Social Networks. Data Intell. 1(1): 58-76 (2019)
[j79]
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  - journals/jasis/LiWMDTSZZ19
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Daifeng Li, Yintian Wang, Andrew D. Madden, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Ning Zhang, Enguo Zhou:
Analyzing stock market trends using social media user moods and social influence. J. Assoc. Inf. Sci. Technol. 70(9): 1000-1013 (2019)
[j78]
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  - journals/joi/GiatsidisNZTV19
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Christos Giatsidis, Giannis Nikolentzos, Chenhui Zhang, Jie Tang, Michalis Vazirgiannis:
Rooted citation graphs density metrics for research papers influence evaluation. J. Informetrics 13(2): 757-768 (2019)
[c224]
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  - conf/aaai/Feng0L19
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Wenzheng Feng, Jie Tang, Tracy Xiao Liu:
Understanding Dropouts in MOOCs. AAAI 2019: 517-524
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  - conf/acl/DingZCYT19
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Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. ACL (1) 2019: 2694-2703
[c222]
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  - conf/acl/YuWLHLLT19
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Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang:
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game. ACL (1) 2019: 4292-4302
[c221]
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  - conf/complexnetworks/PanagopoulosXSG19
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George Panagopoulos, Christos Xypolopoulos, Konstantinos Skianis, Christos Giatsidis, Jie Tang, Michalis Vazirgiannis:
Scientometrics for Success and Influence in the Microsoft Academic Graph. COMPLEX NETWORKS (2) 2019: 1007-1017
[c220]
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  - conf/dsc/ZhangWT19
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Jie Zhang, Yan Wang, Jie Tang:
A Fast Network Embedding Approach with Preserving Hierarchical Proximities. DSC 2019: 142-149
[c219]
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  - conf/edm/WangLGJT19
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Tianqi Wang, Qi Li, Jing Gao, Xia Jing, Jie Tang:
Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades. EDM 2019
[c218]
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  - conf/emnlp/ChenLZDCYT19
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Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. EMNLP/IJCNLP (1) 2019: 1803-1813
[c217]
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  - conf/ijcai/Han0C19
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Yu Han, Jie Tang, Qian Chen:
Network Embedding under Partial Monitoring for Evolving Networks. IJCAI 2019: 2463-2469
[c216]
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  - conf/ijcai/ZhangDWTD19
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Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding:
ProNE: Fast and Scalable Network Representation Learning. IJCAI 2019: 4278-4284
[c215]
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  - conf/ijcai/ZhaoWYS019
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Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang:
Large Scale Evolving Graphs with Burst Detection. IJCAI 2019: 4412-4418
[c214]
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  - conf/kdd/CenZZYZ019
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Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. KDD 2019: 1358-1368
[c213]
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  - conf/kdd/Ding0LXZSJS19
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Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen:
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. KDD 2019: 2336-2346
[c212]
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  - conf/kdd/ZhangLTDYZGWSLW19
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Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang:
OAG: Toward Linking Large-scale Heterogeneous Entity Graphs. KDD 2019: 2585-2595
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Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. KDD 2019: 2895-2904
[c210]
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Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. KDD 2019: 3040-3050
[c209]
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  - conf/kdd/Huang0DLLPST0Y019
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Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu:
Learning From Networks: Algorithms, Theory, and Applications. KDD 2019: 3221-3222
[c208]
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  - conf/pakdd/ZhaoTD19
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Yifeng Zhao, Jie Tang, Zhengxiao Du:
EFCNN: A Restricted Convolutional Neural Network for Expert Finding. PAKDD (2) 2019: 96-107
[c207]
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  - conf/pakdd/WangT19
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Yan Wang, Jie Tang:
Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation. PAKDD (3) 2019: 314-326
[c206]
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  - conf/www/0001LWMS19
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Jie Tang, Jure Leskovec, Kuansan Wang, Deborah L. McGuinness, Hassan Sawaf:
Panel: Computational Methods about Knowledge Graph. WWW (Companion Volume) 2019: 677
[c205]
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  - conf/www/0001D19
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Jie Tang, Yuxiao Dong:
Representation Learning on Networks: Theories, Algorithms, and Applications. WWW (Companion Volume) 2019: 1321-1322
[c204]
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  - conf/www/QiuDMLWWT19
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Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang:
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. WWW 2019: 1509-1520
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  - conf/ccks/2018
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Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li:
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding - Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers. Communications in Computer and Information Science 957, Springer 2019, ISBN 978-981-13-3145-9 [contents]
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  - conf/nlpcc/2019-1
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Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, Hongying Zan:
Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11838, Springer 2019, ISBN 978-3-030-32232-8 [contents]
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  - conf/nlpcc/2019-2
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Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, Hongying Zan:
Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11839, Springer 2019, ISBN 978-3-030-32235-9 [contents]
[i42]
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  - journals/corr/abs-1902-08226
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Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. CoRR abs/1902.08226 (2019)
[i41]
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  - journals/corr/abs-1903-12457
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Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. CoRR abs/1903.12457 (2019)
[i40]
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  - journals/corr/abs-1905-01669
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Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. CoRR abs/1905.01669 (2019)
[i39]
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  - journals/corr/abs-1905-05460
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Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. CoRR abs/1905.05460 (2019)
[i38]
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  - journals/corr/abs-1906-00391
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Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. CoRR abs/1906.00391 (2019)
[i37]
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  - journals/corr/abs-1906-05489
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Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang:
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning. CoRR abs/1906.05489 (2019)
[i36]
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  - journals/corr/abs-1906-09427
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Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard S. Zemel, Shengyu Zhang:
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. CoRR abs/1906.09427 (2019)
[i35]
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  - journals/corr/abs-1906-09698
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Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex Pentland, Jie Tang:
Identify and understand pay-it-forward reciprocity using millions of online red packets. CoRR abs/1906.09698 (2019)
[i34]
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  - journals/corr/abs-1906-11156
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Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang:
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. CoRR abs/1906.11156 (2019)
[i33]
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  - journals/corr/abs-1907-04924
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Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen:
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. CoRR abs/1907.04924 (2019)
[i32]
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  - journals/corr/abs-1908-05391
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Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. CoRR abs/1908.05391 (2019)
[i31]
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  - journals/corr/abs-1909-07739
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Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Zhiyuan Liu:
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game. CoRR abs/1909.07739 (2019)
[i30]
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  - journals/corr/abs-1910-12202
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Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, Cuiping Li:
CONNA: Addressing Name Disambiguation on The Fly. CoRR abs/1910.12202 (2019)
[i29]
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  - journals/corr/abs-1911-02972
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Jiezhong Qiu, Hao Ma, Omer Levy, Scott Wen-tau Yih, Sinong Wang, Jie Tang:
Blockwise Self-Attention for Long Document Understanding. CoRR abs/1911.02972 (2019)
[i28]
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Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yangping Zhang, Jie Tang:
A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation. CoRR abs/1912.08976 (2019)
2018
[j77]
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Kan Wu, Jie Tang, Zhou Shao, Xinyi Xu, Bo Gao, Shu Zhao:
CareerMap: visualizing career trajectory. Sci. China Inf. Sci. 61(10): 104101:1-104101:3 (2018)
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Shu Zhao, Dong Zhang, Zhen Duan, Jie Chen, Yan-ping Zhang, Jie Tang:
A novel classification method for paper-reviewer recommendation. Scientometrics 115(3): 1293-1313 (2018)
[j75]
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Xiancheng Li, Wenge Rong, Haoran Shi, Jie Tang, Zhang Xiong:
The impact of conference ranking systems in computer science: a comparative regression analysis. Scientometrics 116(2): 879-907 (2018)
[j74]
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Xiaotao Gu, Hong Yang, Jie Tang, Jing Zhang, Fanjin Zhang, Debing Liu, Wendy Hall, Xiao Fu:
Profiling Web users using big data. Soc. Netw. Anal. Min. 8(1): 24 (2018)
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Yang Yang, Jie Tang, Juanzi Li:
Learning to Infer Competitive Relationships in Heterogeneous Networks. ACM Trans. Knowl. Discov. Data 12(1): 12:1-12:23 (2018)
[j72]
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Hong Huang, Yuxiao Dong, Jie Tang, Hongxia Yang, Nitesh V. Chawla, Xiaoming Fu:
Will Triadic Closure Strengthen Ties in Social Networks? ACM Trans. Knowl. Discov. Data 12(3): 30:1-30:25 (2018)
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Tian Qin, Wufan Shangguan, Guojie Song, Jie Tang:
Spatio-Temporal Routine Mining on Mobile Phone Data. ACM Trans. Knowl. Discov. Data 12(5): 56:1-56:24 (2018)
[j70]
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Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, Jian Wu:
SCSMiner: mining social coding sites for software developer recommendation with relevance propagation. World Wide Web 21(6): 1523-1543 (2018)
[c203]
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Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang:
Fast Randomized PCA for Sparse Data. ACML 2018: 710-725
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Ming Ding, Jie Tang, Jie Zhang:
Semi-supervised Learning on Graphs with Generative Adversarial Nets. CIKM 2018: 913-922
[c201]
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Fang Zhang, Xiaochen Wang, Jingfei Han, Jie Tang, Shiyin Wang:
Fast Top-k Area Topics Extraction with Knowledge Base. DSC 2018: 45-52
[c200]
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Chaoyang Li, Zhengyang Song, Jie Tang:
User Tagging in MOOCs Through Network Embedding. DSC 2018: 235-241
[c199]
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Xiaochen Wang, Wenzheng Feng, Jie Tang, Qingyang Zhong:
Course Concept Extraction in MOOC via Explicit/Implicit Representation. DSC 2018: 339-345
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Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong:
Interactive Area Topics Extraction with Policy Gradient. ICANN (3) 2018: 84-93
[c197]
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Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall:
Cross-Domain Depression Detection via Harvesting Social Media. IJCAI 2018: 1611-1617
[c196]
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Kan Wu, Jie Tang, Chenhui Zhang:
Where Have You Been? Inferring Career Trajectory from Academic Social Network. IJCAI 2018: 3592-3598
[c195]
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Yujie Qian, Jie Tang, Kan Wu:
Weakly Learning to Match Experts in Online Community. IJCAI 2018: 3841-3847
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Xiaoming Fu, Hong Huang, Xiang-Yang Li, Haisheng Tan, Jie Tang:
A comparative analysis of school pupils' daily habits in Germany and China. INFOCOM Workshops 2018: 698-703
[c193]
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Yutao Zhang, Fanjin Zhang, Peiran Yao, Jie Tang:
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop. KDD 2018: 1002-1011
[c192]
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Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang:
DeepInf: Social Influence Prediction with Deep Learning. KDD 2018: 2110-2119
[c191]
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Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, Maosong Sun:
Bandit Learning with Implicit Feedback. NeurIPS 2018: 7287-7297
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Zhengxiao Du, Jie Tang, Yuhui Ding:
POLAR: Attention-Based CNN for One-Shot Personalized Article Recommendation. ECML/PKDD (2) 2018: 675-690
[c189]
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Golnoosh Farnadi, Jie Tang, Martine De Cock, Marie-Francine Moens:
User Profiling through Deep Multimodal Fusion. WSDM 2018: 171-179
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Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang:
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. WSDM 2018: 459-467
[c187]
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Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger:
BigNet 2018 Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 943-944
[r1]
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Jie Tang:
Inferring Social Ties. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018
[i27]
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Sha Yuan, Yu Zhang, Jie Tang, Juan Bautista Cabotà:
Expert Finding in Community Question Answering: A Review. CoRR abs/1804.07958 (2018)
[i26]
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Jie Zhang, Yan Wang, Jie Tang, Ming Ding:
Spectral Network Embedding: A Fast and Scalable Method via Sparsity. CoRR abs/1806.02623 (2018)
[i25]
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Yuxiao Dong, Hao Ma, Jie Tang, Kuansan Wang:
Collaboration Diversity and Scientific Impact. CoRR abs/1806.03694 (2018)
[i24]
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Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang:
DeepInf: Social Influence Prediction with Deep Learning. CoRR abs/1807.05560 (2018)
[i23]
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  - journals/corr/abs-1809-00130
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Ming Ding, Jie Tang, Jie Zhang:
Semi-supervised Learning on Graphs with Generative Adversarial Nets. CoRR abs/1809.00130 (2018)
[i22]
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Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang:
Fast Randomized PCA for Sparse Data. CoRR abs/1810.06825 (2018)
[i21]
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Xi Chen, Jie Tang, Yizhou Sun:
Modeling Personalized Dynamics of Social Network and Opinion at Individual Level. CoRR abs/1811.02791 (2018)
2017
[j69]
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Jie Tang, Hanghang Tong, Michalis Vazirgiannis:
Special focus on natural language processing and social computing. Sci. China Inf. Sci. 60(11): 110100:1-110100:2 (2017)
[j68]
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Daifeng Li, Zhipeng Luo, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Xiaowen Dai, John Du, Jingwei Zhang, Shoubin Kong:
User-level microblogging recommendation incorporating social influence. J. Assoc. Inf. Sci. Technol. 68(3): 553-568 (2017)
[j67]
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Tehmina Amjad, Ying Ding, Jian Xu, Chenwei Zhang, Ali Daud, Jie Tang, Min Song:
Standing on the shoulders of giants. J. Informetrics 11(1): 307-323 (2017)
[j66]
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Yifan Qian, Wenge Rong, Nan Jiang, Jie Tang, Zhang Xiong:
Citation regression analysis of computer science publications in different ranking categories and subfields. Scientometrics 110(3): 1351-1374 (2017)
[j65]
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Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 3(1): 2 (2017)
[j64]
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Ronald Burt, Jie Tang, Michalis Vazirgiannis, Shuang Yang:
Introduction to Special Issue on Social Media Processing (TIST-SMP). ACM Trans. Intell. Syst. Technol. 8(6): 76:1-76:2 (2017)
[j63]
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Guojie Song, Yuanhao Li, Xiaodong Chen, Xinran He, Jie Tang:
Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach. IEEE Trans. Knowl. Data Eng. 29(2): 359-372 (2017)
[j62]
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Huijie Lin, Jia Jia, Jiezhong Qiu, Yongfeng Zhang, Guangyao Shen, Lexing Xie, Jie Tang, Ling Feng, Tat-Seng Chua:
Detecting Stress Based on Social Interactions in Social Networks. IEEE Trans. Knowl. Data Eng. 29(9): 1820-1833 (2017)
[j61]
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Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang, Qi Tian:
Inferring Emotional Tags From Social Images With User Demographics. IEEE Trans. Multim. 19(7): 1670-1684 (2017)
[j60]
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Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang:
User Modeling on Demographic Attributes in Big Mobile Social Networks. ACM Trans. Inf. Syst. 35(4): 35:1-35:33 (2017)
[j59]
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Lei Hou, Juanzi Li, Xiaoli Li, Jie Tang, Xiaofei Guo:
Learning to Align Comments to News Topics. ACM Trans. Inf. Syst. 36(1): 9:1-9:31 (2017)
[j58]
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Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li, Walter Luyten, Marie-Francine Moens:
Fast and Flexible Top-k Similarity Search on Large Networks. ACM Trans. Inf. Syst. 36(2): 13:1-13:30 (2017)
[c186]
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Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun:
StructInf: Mining Structural Influence from Social Streams. AAAI 2017: 73-80
[c185]
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Jie Tang, Wendy Hall:
Cross-Domain Ranking via Latent Space Learning. AAAI 2017: 2618-2624
[c184]
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Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong:
Word Embedding Based Correlation Model for Question/Answer Matching. AAAI 2017: 3511-3517
[c183]
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Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang:
Prerequisite Relation Learning for Concepts in MOOCs. ACL (1) 2017: 1447-1456
[c182]
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Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou:
BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. CIKM 2017: 1479-1488
[c181]
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Jie Tang:
Can AI help MOOCs? EDM 2017
[c180]
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Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
iNEAT: Incomplete Network Alignment. ICDM 2017: 1189-1194
[c179]
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Yu Han, Jie Tang:
Who to Invite Next? Predicting Invitees of Social Groups. IJCAI 2017: 3714-3720
[c178]
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Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang:
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. IJCNLP(1) 2017: 875-884
[c177]
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Yutao Zhang, Robert Chen, Jie Tang, Walter F. Stewart, Jimeng Sun:
LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity. KDD 2017: 1315-1324
[c176]
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Xia Jing, Jie Tang:
Guess you like: course recommendation in MOOCs. WI 2017: 783-789
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Chi Chen, Hongliang Tian, Jie Tang, Chunxiao Xing:
When Will a Repost Cascade Settle Down? WISE (1) 2017: 165-179
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Han Zhang, Maosong Sun, Xiaochen Wang, Zhengyang Song, Jie Tang, Jimeng Sun:
Smart Jump: Automated Navigation Suggestion for Videos in MOOCs. WWW (Companion Volume) 2017: 331-339
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Jie Tang:
Computational Models for Social Network Analysis: A Brief Survey. WWW (Companion Volume) 2017: 921-925
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Marcelo Gabriel Armentano, Jie Tang, Virginia Yannibelli:
Proceedings of the 3rd International Workshop on Social Influence Analysis co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 19, 2017. CEUR Workshop Proceedings 1893, CEUR-WS.org 2017 [contents]
[i20]
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Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley:
A Probabilistic Framework for Location Inference from Social Media. CoRR abs/1702.07281 (2017)
[i19]
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Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang:
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. CoRR abs/1710.02971 (2017)
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Fang Zhang, Xiaochen Wang, Jingfei Han, Jie Tang, Shiyin Wang:
Fast Top-k Area Topics Extraction with Knowledge Base. CoRR abs/1710.04822 (2017)
[i17]
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Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Jie Tang:
Online Red Packets: A Large-scale Empirical Study of Gift Giving on WeChat. CoRR abs/1712.02926 (2017)
2016
[j57]
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Li Liu, Dandan Song, Jie Tang, Lejian Liao, Xin Li, Jianguang Du:
FriendBurst: Ranking people who get friends fast in a short time. Neurocomputing 210: 116-129 (2016)
[j56]
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Yiwen Zhang, Guangming Cui, Shu Zhao, Jie Tang:
IFOA4WSC: a quick and effective algorithm for QoS-aware servicecomposition. Int. J. Web Grid Serv. 12(1): 81-108 (2016)
[j55]
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Huaiyu Wan, Marie-Francine Moens, Walter Luyten, Xuezhong Zhou, Qiaozhu Mei, Lu Liu, Jie Tang:
Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks. J. Am. Medical Informatics Assoc. 23(2): 356-365 (2016)
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Shu Zhao, Qing Cao, Jie Chen, Yanping Zhang, Jie Tang, Zhen Duan:
A multi-ATL method for transfer learning across multiple domains with arbitrarily different distribution. Knowl. Based Syst. 94: 60-69 (2016)
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Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 2(1): 1-2 (2016)
[j52]
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Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued). IEEE Trans. Big Data 2(2): 100 (2016)
[j51]
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Zhiyuan Wang, Yun Zhou, Jie Tang, Jarder Luo:
The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory. IEEE Trans. Knowl. Data Eng. 28(2): 537-550 (2016)
[j50]
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Jie Tang, Tiancheng Lou, Jon M. Kleinberg, Sen Wu:
Transfer Learning to Infer Social Ties across Heterogeneous Networks. ACM Trans. Inf. Syst. 34(2): 7:1-7:43 (2016)
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Yang Yang, Jia Jia, Boya Wu, Jie Tang:
Social Role-Aware Emotion Contagion in Image Social Networks. AAAI 2016: 65-71
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Jie Zhang, Jiaqi Ma, Jie Tang:
Learning cascaded influence under partial monitoring. ASONAM 2016: 255-262
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Xiaotao Gu, Hong Yang, Jie Tang, Jing Zhang:
Web user profiling using data redundancy. ASONAM 2016: 358-365
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Chenhui Zhang, Sida Gao, Jie Tang, Tracy Xiao Liu, Zhanpeng Fang, Xu Cheng:
Learning triadic influence in large social networks. ASONAM 2016: 1380-1381
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Yuan Yuan, Sihong Xie, Chun-Ta Lu, Jie Tang, Philip S. Yu:
Interpretable and effective opinion spam detection via temporal patterns mining across websites. IEEE BigData 2016: 96-105
[c167]
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Zhigang Wang, Liangming Pan, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang:
Boosting to Build a Large-Scale Cross-Lingual Ontology. CCKS 2016: 41-53
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Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang:
BigNet 2016: First Workshop on Big Network Analytics. CIKM 2016: 2505-2506
[c165]
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Yun Zhou, Zhiyuan Wang, Jie Tang, Jarder Luo:
The prediction of venture capital co-investment based on structural balance theory. ICDE 2016: 1568-1569
[c164]
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Zhilin Yang, Jie Tang, William W. Cohen:
Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. IJCAI 2016: 2287-2293
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Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong:
QUINT: On Query-Specific Optimal Networks. KDD 2016: 985-994
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Liangming Pan, Zhigang Wang, Juanzi Li, Jie Tang:
Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding. KSEM 2016: 426-438
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Liangyue Li, Hanghang Tong, Jie Tang, Wei Fan:
iPath: Forecasting the Pathway to Impact. SDM 2016: 468-476
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Venkata Krishna Pillutla, Zhanpeng Fang, Pravallika Devineni, Christos Faloutsos, Danai Koutra, Jie Tang:
On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries. SDM 2016: 783-791
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Jing Zhang, Honglei Zhuang, Yanglei Song, Jiawei Han, Yutao Zhang, Jie Tang, Juanzi Li:
Knowledge Fragment Enrichment Using Domain Knowledge Base. SMP 2016: 274-286
[c158]
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Jiezhong Qiu, Jie Tang, Tracy Xiao Liu, Jie Gong, Chenhui Zhang, Qian Zhang, Yufei Xue:
Modeling and Predicting Learning Behavior in MOOCs. WSDM 2016: 93-102
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Jie Tang:
AMiner: Toward Understanding Big Scholar Data. WSDM 2016: 467
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Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft:
The Lifecycle and Cascade of WeChat Social Messaging Groups. WWW 2016: 311-320
[c155]
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Jie Tang:
AMiner: Mining Deep Knowledge from Big Scholar Data. WWW (Companion Volume) 2016: 373
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Snehasis Mukhopadhyay, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou, Yi Chang, Yunyao Li, Parikshit Sondhi:
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016. ACM 2016, ISBN 978-1-4503-4073-1 [contents]
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Marcelo Gabriel Armentano, Ariel Monteserin, Jie Tang, Virginia Yannibelli:
Proceedings of the 2nd International Workshop on Social Influence Analysis co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, New York, USA, July 9, 2016. CEUR Workshop Proceedings 1622, CEUR-WS.org 2016 [contents]
[i16]
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Tai Wang, Xiangen Hu, Keith T. Shubeck, Zhiqiang Cai, Jie Tang:
An Empirical Study on Academic Commentary and Its Implications on Reading and Writing. CoRR abs/1602.04101 (2016)
[i15]
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Yujie Qian, Jie Tang:
Learning for Expertise Matching with Declination Prediction. CoRR abs/1611.04363 (2016)
2015
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Jie Tang, Juanzi Li:
Semantic Mining of Social Networks. Synthesis Lectures on the Semantic Web: Theory and Technology, Morgan & Claypool Publishers 2015, ISBN 978-3-031-79461-2
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Ivan Vulic, Wim De Smet, Jie Tang, Marie-Francine Moens:
Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications. Inf. Process. Manag. 51(1): 111-147 (2015)
[j48]
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Daifeng Li, Jie Tang, Ying Ding, Xin Shuai, Tamy Chambers, Gordon Guo-Zheng Sun, Zhipeng Luo, Jingwei Zhang:
Topic-level opinion influence model (TOIM): An investigation using tencent microblogging. J. Assoc. Inf. Sci. Technol. 66(12): 2657-2673 (2015)
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Jie Tang, Xiaoyan Zhu:
Preface. J. Comput. Sci. Technol. 30(4): 902 (2015)
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Jie Tang, Xiaoyan Zhu:
Preface. J. Comput. Sci. Technol. 30(5): 1036-1038 (2015)
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Lei Hou, Juanzi Li, Zhichun Wang, Jie Tang, Peng Zhang, Ruibing Yang, Qian Zheng:
NewsMiner: Multifaceted news analysis for event search. Knowl. Based Syst. 76: 17-29 (2015)
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Zhixing Li, Juanzi Li, Yi Liao, Siqiang Wen, Jie Tang:
Labeling clusters from both linguistic and statistical perspectives: A hybrid approach. Knowl. Based Syst. 76: 219-227 (2015)
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Xing Tang, Qiguang Miao, Yi-Ning Quan, Jie Tang, Kai Deng:
Predicting individual retweet behavior by user similarity: A multi-task learning approach. Knowl. Based Syst. 89: 681-688 (2015)
[j42]
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Xiaohui Wang, Jia Jia, Jie Tang, Boya Wu, Lianhong Cai, Lexing Xie:
Modeling Emotion Influence in Image Social Networks. IEEE Trans. Affect. Comput. 6(3): 286-297 (2015)
[j41]
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Jing Zhang, Jie Tang, Juanzi Li, Yang Liu, Chunxiao Xing:
Who Influenced You? Predicting Retweet via Social Influence Locality. ACM Trans. Knowl. Discov. Data 9(3): 25:1-25:26 (2015)
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Jing Zhang, Zhanpeng Fang, Wei Chen, Jie Tang:
Diffusion of "Following" Links in Microblogging Networks. IEEE Trans. Knowl. Data Eng. 27(8): 2093-2106 (2015)
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Hong Huang, Jie Tang, Lu Liu, Jarder Luo, Xiaoming Fu:
Triadic Closure Pattern Analysis and Prediction in Social Networks. IEEE Trans. Knowl. Data Eng. 27(12): 3374-3389 (2015)
[j38]
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Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin:
VEGAS: Visual influEnce GrAph Summarization on Citation Networks. IEEE Trans. Knowl. Data Eng. 27(12): 3417-3431 (2015)
[c154]
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Jie Tang, Chenhui Zhang, Keke Cai, Li Zhang, Zhong Su:
Sampling Representative Users from Large Social Networks. AAAI 2015: 304-310
[c153]
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Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang:
RAIN: Social Role-Aware Information Diffusion. AAAI 2015: 367-373
[c152]
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Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juan-Zi Li, Xiaoli Li, Chao Shao, Jie Tang, Yongbin Liu:
Learning Topic Hierarchies for Wikipedia Categories. ACL (2) 2015: 346-351
[c151]
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Yanping Zhang, Yuanyuan Bao, Shu Zhao, Jie Chen, Jie Tang:
Identifying Node Importance by Combining Betweenness Centrality and Katz Centrality. CCBD 2015: 354-357
[c150]
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Yixin Cao, Juanzi Li, Xiaofei Guo, Shuanhu Bai, Heng Ji, Jie Tang:
Name List Only? Target Entity Disambiguation in Short Texts. EMNLP 2015: 654-664
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Yang Yang, Jie Tang:
Beyond Query: Interactive User Intention Understanding. ICDM 2015: 519-528
[c148]
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Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang:
Understanding the emotions behind social images: Inferring with user demographics. ICME 2015: 1-6
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Qingsong Liu, Yifan Hu, Lei Shi, Xinzhu Mu, Yutao Zhang, Jie Tang:
EgoNetCloud: Event-based egocentric dynamic network visualization. VAST 2015: 65-72
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Zhanpeng Fang, Jie Tang:
Uncovering the Formation of Triadic Closure in Social Networks. IJCAI 2015: 2062-2068
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Yuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla, Bai Wang:
CoupledLP: Link Prediction in Coupled Networks. KDD 2015: 199-208
[c144]
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Yu Han, Jie Tang:
Probabilistic Community and Role Model for Social Networks. KDD 2015: 407-416
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Yang Yang, Yizhou Sun, Jie Tang, Bo Ma, Juan-Zi Li:
Entity Matching across Heterogeneous Sources. KDD 2015: 1395-1404
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Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li:
Panther: Fast Top-k Similarity Search on Large Networks. KDD 2015: 1445-1454
[c141]
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Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu:
COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. KDD 2015: 1485-1494
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Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang:
The Evolution of Social Relationships and Strategies Across the Lifespan. ECML/PKDD (3) 2015: 245-249
[c139]
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Yihan Sun, Joseph Crawford, Jie Tang, Tijana Milenkovic:
Simultaneous Optimization of both Node and Edge Conservation in Network Alignment via WAVE. WABI 2015: 16-39
[c138]
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Jie Tang, Zhanpeng Fang, Jimeng Sun:
Incorporating Social Context and Domain Knowledge for Entity Recognition. WWW 2015: 517-526
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Jian Pei, Fabrizio Silvestri, Jie Tang:
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France, August 25 - 28, 2015. ACM 2015, ISBN 978-1-4503-3854-7 [contents]
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Marcelo Gabriel Armentano, Ariel Monteserin, Jie Tang, Virginia Yannibelli:
Proceedings of the 1st International Workshop on Social Influence Analysis, SocInf 2015, co-located with 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 27, 2015. CEUR Workshop Proceedings 1398, CEUR-WS.org 2015 [contents]
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Xueqi Cheng, Hang Li, Evgeniy Gabrilovich, Jie Tang:
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015. ACM 2015, ISBN 978-1-4503-3317-7 [contents]
[i14]
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Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juan-Zi Li:
Panther: Fast Top-k Similarity Search in Large Networks. CoRR abs/1504.02577 (2015)
[i13]
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Zhilin Yang, Jie Tang:
Multi-Source Bayesian Embeddings for Learning Social Knowledge Graphs. CoRR abs/1508.00715 (2015)
[i12]
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Yang Yang, Jie Tang, Yuxiao Dong, Qiaozhu Mei, Reid A. Johnson, Nitesh V. Chawla:
Modeling the Interplay Between Individual Behavior and Network Distributions. CoRR abs/1511.02562 (2015)
[i11]
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Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong:
Word Embedding based Correlation Model for Question/Answer Matching. CoRR abs/1511.04646 (2015)
[i10]
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Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft:
The Lifecycle and Cascade of Social Messaging Groups. CoRR abs/1512.07831 (2015)
2014
[j37]
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Jamal Yousaf, Juanzi Li, Lu Chen, Jie Tang, Xiaowen Dai:
Generalized multipath planning model for ride-sharing systems. Frontiers Comput. Sci. 8(1): 100-118 (2014)
[j36]
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Son Minh Huynh, David Parry, Alvis Cheuk M. Fong, Jie Tang:
Novel RFID and ontology based home localization system for misplaced objects. IEEE Trans. Consumer Electron. 60(3): 402-410 (2014)
[j35]
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Wei Chen, Jie Tang:
Introduction to special issue on computational aspects of social and information networks: Theory, methodologies, and applications (TKDD-CASIN). ACM Trans. Knowl. Discov. Data 8(1): 1:1-1:2 (2014)
[j34]
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Yi Cai, Ho-fung Leung, Qing Li, Huaqing Min, Jie Tang, Juanzi Li:
Typicality-Based Collaborative Filtering Recommendation. IEEE Trans. Knowl. Data Eng. 26(3): 766-779 (2014)
[j33]
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Yizhou Sun, Jie Tang, Jiawei Han, Cheng Chen, Manish Gupta:
Co-Evolution of Multi-Typed Objects in Dynamic Star Networks. IEEE Trans. Knowl. Data Eng. 26(12): 2942-2955 (2014)
[c137]
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Zhigang Wang, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang, Kuo Zhang, Kun Zhang:
Cross-Lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis. AAAI 2014: 180-186
[c136]
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Yang Yang, Jia Jia, Shumei Zhang, Boya Wu, Qicong Chen, Juanzi Li, Chunxiao Xing, Jie Tang:
How Do Your Friends on Social Media Disclose Your Emotions? AAAI 2014: 306-312
[c135]
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Yang Yang, Walter Luyten, Lu Liu, Marie-Francine Moens, Jie Tang, Juanzi Li:
Forecasting Potential Diabetes Complications. AAAI 2014: 313-319
[c134]
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Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, Juan-Zi Li:
Role-Aware Conformity Modeling and Analysis in Social Networks. AAAI 2014: 958-965
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Zhanpeng Fang, Xinyu Zhou, Jie Tang, Wei Shao, Alvis Cheuk M. Fong, Longjun Sun, Ying Ding, Ling Zhou, Jarder Luo:
Modeling Paying Behavior in Game Social Networks. CIKM 2014: 411-420
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Zhilin Yang, Jie Tang, Yutao Zhang:
Active Learning for Streaming Networked Data. CIKM 2014: 1129-1138
[c131]
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Jingyuan Liu, Debing Liu, Xingyu Yan, Li Dong, Ting Zeng, Yutao Zhang, Jie Tang:
AMiner-mini: A People Search Engine for University. CIKM 2014: 2069-2071
[c130]
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Son Minh Huynh, David Parry, Alvis Cheuk M. Fong, Jie Tang:
Home localization system for misplaced objects. ICCE 2014: 462-463
[c129]
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Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin:
Flow-Based Influence Graph Visual Summarization. ICDM 2014: 983-988
[c128]
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Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Çam, Xifeng Yan, Jiawei Han:
Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. ICDM 2014: 1127-1132
[c127]
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Zhixing Li, Siqiang Wen, Juanzi Li, Peng Zhang, Jie Tang:
On Modelling Non-linear Topical Dependencies. ICML 2014: 458-466
[c126]
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Yuxiao Dong, Yang Yang, Jie Tang, Yang Yang, Nitesh V. Chawla:
Inferring user demographics and social strategies in mobile social networks. KDD 2014: 15-24
[c125]
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Jiliang Tang, Jie Tang, Huan Liu:
Recommendation in social media: recent advances and new frontiers. KDD 2014: 1977
[c124]
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Zhu Ren, Jia Jia, Lianhong Cai, Kuo Zhang, Jie Tang:
Learning to Infer Public Emotions from Large-Scale Networked Voice Data. MMM (1) 2014: 327-339
[c123]
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Juhua Hu, Jian Pei, Jie Tang:
How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach. SDM 2014: 136-144
[c122]
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Mi Zhang, Jie Tang, Xuchen Zhang, Xiangyang Xue:
Addressing cold start in recommender systems: a semi-supervised co-training algorithm. SIGIR 2014: 73-82
[c121]
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Keke Cai, Yu Zhao, Jie Tang, Li Zhang, Zhong Su:
How Do People Communicate through Different Social Connections? WAIM 2014: 728-739
[c120]
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Zhilin Yang, Jie Tang, Bin Xu, Chunxiao Xing:
Active learning for networked data based on non-progressive diffusion model. WSDM 2014: 363-372
[c119]
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Jie Tang, Jimeng Sun:
Computational models for social influence analysis: [extended abstract]. WWW (Companion Volume) 2014: 205-206
[c118]
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Hong Huang, Jie Tang, Sen Wu, Lu Liu, Xiaoming Fu:
Mining triadic closure patterns in social networks. WWW (Companion Volume) 2014: 499-504
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Heyan Huang, Ting Liu, Hua-Ping Zhang, Jie Tang:
Social Media Processing - Third National Conference, SMP 2014, Beijing, China, November 1-2, 2014. Proceedings. Communications in Computer and Information Science 489, Springer 2014, ISBN 978-3-662-45557-9 [contents]
[i9]
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Xiaohui Wang, Jia Jia, Lianhong Cai, Jie Tang:
Modeling Emotion Influence from Images in Social Networks. CoRR abs/1401.4276 (2014)
[i8]
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Yuxiao Dong, Jie Tang, Nitesh V. Chawla, Tiancheng Lou, Yang Yang, Bai Wang:
Inferring social status and rich club effects in enterprise communication networks. CoRR abs/1404.3708 (2014)
[i7]
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Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin:
Flow-based Influence Graph Visual Summarization. CoRR abs/1408.2401 (2014)
2013
[j32]
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Alvis Cheuk M. Fong, Jie Tang:
Evolving Social Networks in Consumer Electronics [Conference Reports]. IEEE Consumer Electron. Mag. 2(4): 54 (2013)
[j31]
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Jie Tang, Ling Chen, Irwin King, Jianyong Wang:
Introduction to Special section on Large-scale Data Mining. Data Knowl. Eng. 87: 355-356 (2013)
[j30]
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Bing He, Ying Ding, Jie Tang, Vignesh Reguramalingam, Johan Bollen:
Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective. J. Informetrics 7(1): 117-128 (2013)
[j29]
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Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Chenhao Tan, Zi Yang:
Query-dependent cross-domain ranking in heterogeneous network. Knowl. Inf. Syst. 34(1): 109-145 (2013)
[j28]
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Zhichun Wang, Juanzi Li, Yue Zhao, Rossi Setchi, Jie Tang:
A unified approach to matching semantic data on the Web. Knowl. Based Syst. 39: 173-184 (2013)
[j27]
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Juanzi Li, Zhichun Wang, Xiao Zhang, Jie Tang:
Large scale instance matching via multiple indexes and candidate selection. Knowl. Based Syst. 50: 112-120 (2013)
[j26]
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Steven J. Anderson, Alvis Cheuk M. Fong, Jie Tang:
Robust tri-modal automatic speech recognition for consumer applications. IEEE Trans. Consumer Electron. 59(2) (2013)
[j25]
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Tiancheng Lou, Jie Tang, John E. Hopcroft, Zhanpeng Fang, Xiaowen Ding:
Learning to predict reciprocity and triadic closure in social networks. ACM Trans. Knowl. Discov. Data 7(2): 5:1-5:25 (2013)
[c117]
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Zhigang Wang, Zhixing Li, Juanzi Li, Jie Tang, Jeff Z. Pan:
Transfer Learning Based Cross-lingual Knowledge Extraction for Wikipedia. ACL (1) 2013: 641-650
[c116]
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  - conf/apweb/LuBLTZ13
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Mian Lu, Ge Bai, Qiong Luo, Jie Tang, Jiuxin Zhao:
Accelerating Topic Model Training on a Single Machine. APWeb 2013: 184-195
[c115]
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  - conf/cikm/LiuTCALC13
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Lu Liu, Jie Tang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Mining diabetes complication and treatment patterns for clinical decision support. CIKM 2013: 279-288
[c114]
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  - conf/iccel/AndersonFT13
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Steven J. Anderson, Acm Fong, Jie Tang:
Tri-modal speech recognition for noisy and variable lighting conditions. ICCE 2013: 72-73
[c113]
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  - conf/iccel/TangF13
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Jie Tang, Acm Fong:
Sentiment diffusion in large scale social networks. ICCE 2013: 244-245
[c112]
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  - conf/icdm/ZhuangSTZS13
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Honglei Zhuang, Yihan Sun, Jie Tang, Jialin Zhang, Xiaoming Sun:
Influence Maximization in Dynamic Social Networks. ICDM 2013: 1313-1318
[c111]
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  - conf/ijcai/HouLLQGHT13
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Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, Jie Tang:
What Users Care About: A Framework for Social Content Alignment. IJCAI 2013: 1401-1407
[c110]
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  - conf/ijcai/WangLT13
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Zhichun Wang, Juanzi Li, Jie Tang:
Boosting Cross-Lingual Knowledge Linking via Concept Annotation. IJCAI 2013: 2733-2739
[c109]
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  - conf/ijcai/ZhangLTCL13
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Jing Zhang, Biao Liu, Jie Tang, Ting Chen, Juanzi Li:
Social Influence Locality for Modeling Retweeting Behaviors. IJCAI 2013: 2761-2767
[c108]
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  - conf/kdd/TangWS13
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Jie Tang, Sen Wu, Jimeng Sun:
Confluence: conformity influence in large social networks. KDD 2013: 347-355
[c107]
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  - conf/kdd/YangWZCZZYMFWLLT13
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Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, Jie Tang:
SAE: social analytic engine for large networks. KDD 2013: 1502-1505
[c106]
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  - conf/pkdd/DongTLWC13
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Yuxiao Dong, Jie Tang, Tiancheng Lou, Bin Wu, Nitesh V. Chawla:
How Long Will She Call Me? Distribution, Social Theory and Duration Prediction. ECML/PKDD (2) 2013: 16-31
[c105]
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  - electronic edition @ ceur-ws.org (open access)
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Zhigang Wang, Juanzi Li, Zhichun Wang, Shuangjie Li, Mingyang Li, Dongsheng Zhang, Yao Shi, Yongbin Liu, Peng Zhang, Jie Tang:
XLore: A Large-scale English-Chinese Bilingual Knowledge Graph. ISWC (Posters & Demos) 2013: 121-124
[c104]
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  - conf/wsdm/WuST13
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Sen Wu, Jimeng Sun, Jie Tang:
Patent partner recommendation in enterprise social networks. WSDM 2013: 43-52
[c103]
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  - conf/wsdm/SunT13
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Jimeng Sun, Jie Tang:
Models and algorithms for social influence analysis. WSDM 2013: 775-776
[c102]
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