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ORCIDJie Tang 0001
唐杰
Person information
- unicode name: 唐杰
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Jie Tang — disambiguation page
- Jie Tang 0002
![[0000-0003-0619-0338]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0619-0338")
— South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China (and 2 more) - Jie Tang 0003 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 2 more)
- Jie Tang 0004 — Chinese Academy of Sciences, Shanghai Advanced Research Institute, China
- Jie Tang 0005 (aka: Tang Jie 0005) — George Mason University, Fairfax, VA, USA (and 1 more)
- Jie Tang 0006 — Nanjing University, Nanjing, China
- Jie Tang 0007 — Central South University, School of Business, Changsha, China
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2020 – today
- 2021
[j93]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)- [j92]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) - [j91]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) - [j90]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) - [j89]Zhengxiao Du, Jie Tang, Yuhui Ding:
POLAR++: Active One-Shot Personalized Article Recommendation. IEEE Trans. Knowl. Data Eng. 33(6): 2709-2722 (2021) - [c236]Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, Chi Wang:
LightNE: A Lightweight Graph Processing System for Network Embedding. SIGMOD Conference 2021: 2281-2289 - [e18]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] - [e17]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] - [e16]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] - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - 2020
- [j88]Jie Tang:
AI OPEN inaugural editorial. AI Open 1: 1 (2020) - [j87]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) - [j86]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) - [j85]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) - [j84]Jie Tang:
Message from the Incoming Editor-in-Chief. IEEE Trans. Big Data 6(1): 2 (2020) - [j83]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) - [j82]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) - [j81]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) - [j80]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) - [c235]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 - [c234]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 - [c233]Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang:
Heterogeneous Network Representation Learning. IJCAI 2020: 4861-4867 - [c232]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 - [c231]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 - [c230]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. KDD 2020: 1666-1676 - [c229]Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. KDD 2020: 2942-2951 - [c228]Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang:
CogLTX: Applying BERT to Long Texts. NeurIPS 2020 - [c227]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 - [c226]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 - [c225]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 - [c224]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 - [c223]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 - [i55]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) - [i54]Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. CoRR abs/2005.09347 (2020) - [i53]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. CoRR abs/2005.09863 (2020) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]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) - [i46]Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang:
Concentration Bounds for Co-occurrence Matrices of Markov Chains. CoRR abs/2008.02464 (2020) - [i45]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) - [i44]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
- 2019
- [j79]Huaiyu Wan, Yutao Zhang, Jing Zhang, Jie Tang:
AMiner: Search and Mining of Academic Social Networks. Data Intell. 1(1): 58-76 (2019) - [j78]Daifeng Li, Yintian Wang, Andrew 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) - [j77]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) - [c222]Wenzheng Feng, Jie Tang, Tracy Xiao Liu:
Understanding Dropouts in MOOCs. AAAI 2019: 517-524 - [c221]Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. ACL (1) 2019: 2694-2703 - [c220]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 - [c219]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 - [c218]Jie Zhang, Yan Wang, Jie Tang:
A Fast Network Embedding Approach with Preserving Hierarchical Proximities. DSC 2019: 142-149 - [c217]Tianqi Wang, Qi Li, Jing Gao, Xia Jing, Jie Tang:
Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades. EDM 2019 - [c216]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 - [c215]Yu Han, Jie Tang, Qian Chen:
Network Embedding under Partial Monitoring for Evolving Networks. IJCAI 2019: 2463-2469 - [c214]Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding:
ProNE: Fast and Scalable Network Representation Learning. IJCAI 2019: 4278-4284 - [c213]Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang:
Large Scale Evolving Graphs with Burst Detection. IJCAI 2019: 4412-4418 - [c212]Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. KDD 2019: 1358-1368 - [c211]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 - [c210]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 - [c209]Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. KDD 2019: 2895-2904 - [c208]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 - [c207]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 - [c206]Yifeng Zhao, Jie Tang, Zhengxiao Du:
EFCNN: A Restricted Convolutional Neural Network for Expert Finding. PAKDD (2) 2019: 96-107 - [c205]Yan Wang, Jie Tang:
Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation. PAKDD (3) 2019: 314-326 - [c204]Jie Tang, Jure Leskovec, Kuansan Wang, Deborah L. McGuinness, Hassan Sawaf:
Panel: Computational Methods about Knowledge Graph. WWW (Companion Volume) 2019: 677 - [c203]Jie Tang, Yuxiao Dong:
Representation Learning on Networks: Theories, Algorithms, and Applications. WWW (Companion Volume) 2019: 1321-1322 - [c202]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 - [e15]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] - [e14]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] - [e13]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] - [i43]Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. CoRR abs/1902.08226 (2019) - [i42]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) - [i41]Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. CoRR abs/1905.01669 (2019) - [i40]Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. CoRR abs/1905.05460 (2019) - [i39]Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. CoRR abs/1906.00391 (2019) - [i38]Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang:
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning. CoRR abs/1906.05489 (2019) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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
- [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [c201]Ming Ding, Jie Tang, Jie Zhang:
Semi-supervised Learning on Graphs with Generative Adversarial Nets. CIKM 2018: 913-922 - [c200]Fang Zhang, Xiaochen Wang, Jingfei Han, Jie Tang, Shiyin Wang:
Fast Top-k Area Topics Extraction with Knowledge Base. DSC 2018: 45-52 - [c199]Chaoyang Li, Zhengyang Song, Jie Tang:
User Tagging in MOOCs Through Network Embedding. DSC 2018: 235-241 - [c198]Xiaochen Wang, Wenzheng Feng, Jie Tang, Qingyang Zhong:
Course Concept Extraction in MOOC via Explicit/Implicit Representation. DSC 2018: 339-345 - [c197]Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong:
Interactive Area Topics Extraction with Policy Gradient. ICANN (3) 2018: 84-93 - [c196]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 - [c195]Kan Wu, Jie Tang, Chenhui Zhang:
Where Have You Been? Inferring Career Trajectory from Academic Social Network. IJCAI 2018: 3592-3598 - [c194]Yujie Qian, Jie Tang, Kan Wu:
Weakly Learning to Match Experts in Online Community. IJCAI 2018: 3841-3847 - [c193]Yutao Zhang, Fanjin Zhang, Peiran Yao, Jie Tang:
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop. KDD 2018: 1002-1011 - [c192]Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang:
DeepInf: Social Influence Prediction with Deep Learning. KDD 2018: 2110-2119 - [c191]Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, Maosong Sun:
Bandit Learning with Implicit Feedback. NeurIPS 2018: 7287-7297 - [c190]Zhengxiao Du, Jie Tang, Yuhui Ding:
POLAR: Attention-Based CNN for One-Shot Personalized Article Recommendation. ECML/PKDD (2) 2018: 675-690 - [c189]Golnoosh Farnadi, Jie Tang, Martine De Cock, Marie-Francine Moens:
User Profiling through Deep Multimodal Fusion. WSDM 2018: 171-179 - [c188]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]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 - [i28]Sha Yuan, Yu Zhang, Jie Tang, Juan Bautista Cabotà:
Expert Finding in Community Question Answering: A Review. CoRR abs/1804.07958 (2018) - [i27]Jie Zhang, Yan Wang, Jie Tang, Ming Ding:
Spectral Network Embedding: A Fast and Scalable Method via Sparsity. CoRR abs/1806.02623 (2018) - [i26]Yuxiao Dong, Hao Ma, Jie Tang, Kuansan Wang:
Collaboration Diversity and Scientific Impact. CoRR abs/1806.03694 (2018) - [i25]Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang:
DeepInf: Social Influence Prediction with Deep Learning. CoRR abs/1807.05560 (2018) - [i24]Ming Ding, Jie Tang, Jie Zhang:
Semi-supervised Learning on Graphs with Generative Adversarial Nets. CoRR abs/1809.00130 (2018) - [i23]Sha Yuan, Yu Zhang, Jie Tang, Huawei Shen, Xingxing Wei:
Modeling and Predicting Popularity Dynamics via Deep Learning Attention Mechanism. CoRR abs/1811.02117 (2018) - [i22]Sha Yuan, Jie Tang, Yu Zhang, Yifan Wang, Tong Xiao:
Modeling and Predicting Citation Count via Recurrent Neural Network with Long Short-Term Memory. CoRR abs/1811.02129 (2018) - [i21]