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Ji-Rong Wen
Person information
- affiliation: Renmin University of China, Beijing, China
- affiliation (former): Microsoft Research
- unicode name: 文继荣
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2020 – today
- 2024
- [j122]Junyi Li
, Tianyi Tang
, Wayne Xin Zhao
, Jian-Yun Nie
, Ji-Rong Wen
:
Pre-Trained Language Models for Text Generation: A Survey. ACM Comput. Surv. 56(9): 230:1-230:39 (2024) - [j121]Zhe Yuan, Zhewei Wei, Fangrui Lv, Ji-Rong Wen:
Index-free triangle-based graph local clustering. Frontiers Comput. Sci. 18(3): 183404 (2024) - [j120]Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen:
A survey on large language model based autonomous agents. Frontiers Comput. Sci. 18(6): 186345 (2024) - [j119]Jiongnan Liu
, Zhicheng Dou
, Jian-Yun Nie
, Ji-Rong Wen
:
Integrated Personalized and Diversified Search Based on Search Logs. IEEE Trans. Knowl. Data Eng. 36(2): 694-707 (2024) - [j118]Zhongxiang Sun
, Weijie Yu
, Zihua Si
, Jun Xu
, Zhenhua Dong
, Xu Chen
, Hongteng Xu
, Ji-Rong Wen
:
Explainable Legal Case Matching via Graph Optimal Transport. IEEE Trans. Knowl. Data Eng. 36(6): 2461-2475 (2024) - [j117]Mingji Yang
, Hanzhi Wang
, Zhewei Wei
, Sibo Wang
, Ji-Rong Wen
:
Efficient Algorithms for Personalized PageRank Computation: A Survey. IEEE Trans. Knowl. Data Eng. 36(9): 4582-4602 (2024) - [j116]Yujia Zhou
, Jing Yao
, Ledell Wu, Zhicheng Dou
, Ji-Rong Wen
:
WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm. IEEE Trans. Knowl. Data Eng. 36(9): 4996-5006 (2024) - [j115]Chen Xu
, Jun Xu
, Zhenhua Dong
, Ji-Rong Wen
:
Syntactic-Informed Graph Networks for Sentence Matching. ACM Trans. Inf. Syst. 42(2): 38:1-38:29 (2024) - [j114]Lang Mei
, Jiaxin Mao
, Juan Hu
, Naiqiang Tan
, Hua Chai
, Ji-Rong Wen
:
Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models. ACM Trans. Inf. Syst. 42(3): 74:1-74:27 (2024) - [j113]Shuting Wang
, Zhicheng Dou
, Jiongnan Liu
, Qiannan Zhu
, Ji-Rong Wen
:
Personalized and Diversified: Ranking Search Results in an Integrated Way. ACM Trans. Inf. Syst. 42(3): 81:1-81:25 (2024) - [j112]Wayne Xin Zhao
, Jing Liu
, Ruiyang Ren
, Ji-Rong Wen
:
Dense Text Retrieval Based on Pretrained Language Models: A Survey. ACM Trans. Inf. Syst. 42(4): 89:1-89:60 (2024) - [j111]Yutong Bai
, Yujia Zhou
, Zhicheng Dou
, Ji-Rong Wen
:
Intent-Oriented Dynamic Interest Modeling for Personalized Web Search. ACM Trans. Inf. Syst. 42(4): 96:1-96:30 (2024) - [j110]Qi Liu
, Gang Guo
, Jiaxin Mao
, Zhicheng Dou
, Ji-Rong Wen
, Hao Jiang
, Xinyu Zhang
, Zhao Cao
:
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. ACM Trans. Inf. Syst. 42(5): 118:1-118:28 (2024) - [j109]Zhirui Deng
, Zhicheng Dou
, Zhan Su
, Ji-Rong Wen
:
Multi-grained Document Modeling for Search Result Diversification. ACM Trans. Inf. Syst. 42(5): 126:1-126:22 (2024) - [j108]Zhan Su
, Zhicheng Dou
, Yutao Zhu
, Ji-Rong Wen
:
Passage-aware Search Result Diversification. ACM Trans. Inf. Syst. 42(5): 136:1-136:29 (2024) - [c330]Zhuocheng Gong, Yang Song, Tao Zhang, Ji-Rong Wen, Dongyan Zhao, Rui Yan:
Your Career Path Matters in Person-Job Fit. AAAI 2024: 8427-8435 - [c329]Peiyu Liu, Ze-Feng Gao, Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen:
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. ACL (1) 2024: 2430-2440 - [c328]Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zheng Liu, Ji-Rong Wen, Zhicheng Dou:
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. ACL (1) 2024: 2782-2809 - [c327]Zhiwei Li, Ran Song, Caihong Sun, Wei Xu, Zhengtao Yu, Ji-Rong Wen:
Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model. ACL (Findings) 2024: 3891-3902 - [c326]Jiejun Tan, Zhicheng Dou, Yutao Zhu, Peidong Guo, Kun Fang, Ji-Rong Wen:
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs. ACL (1) 2024: 4420-4436 - [c325]Zhipeng Chen, Kun Zhou, Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen:
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. ACL (Findings) 2024: 5694-5711 - [c324]Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen:
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models. ACL (1) 2024: 5701-5715 - [c323]Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li:
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. ACL (1) 2024: 5872-5900 - [c322]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. ACL (Findings) 2024: 7052-7074 - [c321]Hongda Sun, Weikai Xu, Wei Liu, Jian Luan, Bin Wang, Shuo Shang, Ji-Rong Wen, Rui Yan:
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy. ACL (1) 2024: 9828-9862 - [c320]Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. ACL (1) 2024: 10879-10899 - [c319]Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models. LREC/COLING 2024: 2086-2099 - [c318]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. LREC/COLING 2024: 2969-2983 - [c317]Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. LREC/COLING 2024: 5174-5190 - [c316]Peiyu Liu, Ze-Feng Gao, Xiao Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank. LREC/COLING 2024: 6024-6035 - [c315]Kun Zhou, Yifan Li, Xin Zhao, Ji-Rong Wen:
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. EACL (1) 2024: 1438-1451 - [c314]Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen:
Modeling User Attention in Music Recommendation. ICDE 2024: 761-774 - [c313]Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen:
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. ICDE 2024: 1435-1448 - [c312]Lang Mei, Jiaxin Mao, Ji-Rong Wen:
Optimizing Probabilistic Box Embeddings with Distance Measures. ICDE 2024: 5088-5100 - [c311]Zhewei Wei, Ji-Rong Wen, Mingji Yang
:
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. ICDT 2024: 9:1-9:19 - [c310]Geyang Guo, Ranchi Zhao, Tianyi Tang, Xin Zhao, Ji-Rong Wen:
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment. ICLR 2024 - [c309]Zhen Tian, Yuhong Shi, Xiangkun Wu, Wayne Xin Zhao, Ji-Rong Wen:
Rotative Factorization Machines. KDD 2024: 2912-2923 - [c308]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. KDD 2024: 4455-4466 - [c307]Zhen Tian
, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen:
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. SIGIR 2024: 1619-1628 - [c306]An Zhang
, Yang Deng
, Yankai Lin
, Xu Chen
, Ji-Rong Wen
, Tat-Seng Chua
:
Large Language Model Powered Agents for Information Retrieval. SIGIR 2024: 2989-2992 - [c305]Hanzhi Wang
, Zhewei Wei
, Ji-Rong Wen
, Mingji Yang
:
Revisiting Local Computation of PageRank: Simple and Optimal. STOC 2024: 911-922 - [c304]Zhirui Deng
, Zhicheng Dou
, Yutao Zhu
, Ji-Rong Wen
:
CL4DIV: A Contrastive Learning Framework for Search Result Diversification. WSDM 2024: 171-180 - [c303]Yang Deng
, An Zhang
, Yankai Lin
, Xu Chen
, Ji-Rong Wen
, Tat-Seng Chua
:
Large Language Model Powered Agents in the Web. WWW (Companion Volume) 2024: 1242-1245 - [c302]Junjie Zhang
, Yupeng Hou
, Ruobing Xie
, Wenqi Sun
, Julian J. McAuley
, Wayne Xin Zhao
, Leyu Lin
, Ji-Rong Wen
:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. WWW 2024: 3679-3689 - [i229]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. CoRR abs/2401.00158 (2024) - [i228]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models. CoRR abs/2401.00797 (2024) - [i227]Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. CoRR abs/2401.01019 (2024) - [i226]Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. CoRR abs/2401.03205 (2024) - [i225]Lanling Xu, Junjie Zhang, Bingqian Li, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao, Ji-Rong Wen:
Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis. CoRR abs/2401.04997 (2024) - [i224]Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen:
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. CoRR abs/2401.06081 (2024) - [i223]Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu
, Ji-Rong Wen:
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. CoRR abs/2401.06532 (2024) - [i222]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen:
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. CoRR abs/2402.11163 (2024) - [i221]Jiejun Tan, Zhicheng Dou, Yutao Zhu, Peidong Guo, Kun Fang, Ji-Rong Wen:
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs. CoRR abs/2402.12052 (2024) - [i220]Xueyang Feng, Zhiyuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen:
Large Language Model-based Human-Agent Collaboration for Complex Task Solving. CoRR abs/2402.12914 (2024) - [i219]Zhaoheng Huang, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models. CoRR abs/2402.14690 (2024) - [i218]Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen:
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models. CoRR abs/2402.16438 (2024) - [i217]Yuhao Wang, Ruiyang Ren, Junyi Li, Wayne Xin Zhao, Jing Liu, Ji-Rong Wen:
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering. CoRR abs/2402.17497 (2024) - [i216]Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang:
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. CoRR abs/2402.17505 (2024) - [i215]Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen:
Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. CoRR abs/2402.17564 (2024) - [i214]Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li:
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. CoRR abs/2403.02178 (2024) - [i213]Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen:
Efficient Algorithms for Personalized PageRank Computation: A Survey. CoRR abs/2403.05198 (2024) - [i212]Jia-Nan Li, Quan Tu, Cunli Mao, Zhengtao Yu, Ji-Rong Wen, Rui Yan:
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses. CoRR abs/2403.08312 (2024) - [i211]Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen:
Less is More: Data Value Estimation for Visual Instruction Tuning. CoRR abs/2403.09559 (2024) - [i210]Yifan Li, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models. CoRR abs/2403.09792 (2024) - [i209]Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Revisiting Local Computation of PageRank: Simple and Optimal. CoRR abs/2403.12648 (2024) - [i208]Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, Zhao Cao:
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. CoRR abs/2403.13291 (2024) - [i207]Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Wayne Xin Zhao, Ji-Rong Wen:
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation. CoRR abs/2403.13574 (2024) - [i206]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. CoRR abs/2403.14312 (2024) - [i205]Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen:
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. CoRR abs/2403.17729 (2024) - [i204]Ang Lv, Kaiyi Zhang, Yuhan Chen, Yulong Wang, Lifeng Liu, Ji-Rong Wen, Jian Xie, Rui Yan:
Interpreting Key Mechanisms of Factual Recall in Transformer-Based Language Models. CoRR abs/2403.19521 (2024) - [i203]Zechun Niu, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen:
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. CoRR abs/2404.03707 (2024) - [i202]Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang:
Dynamic Prompt Optimizing for Text-to-Image Generation. CoRR abs/2404.04095 (2024) - [i201]Xiaoqing Zhang, Xiuying Chen, Shen Gao, Shuqi Li, Xin Gao, Ji-Rong Wen, Rui Yan:
Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations. CoRR abs/2404.04272 (2024) - [i200]Yushuo Chen, Tianyi Tang, Erge Xiang, Linjiang Li, Wayne Xin Zhao, Jing Wang, Yunpeng Chai, Ji-Rong Wen:
Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models. CoRR abs/2404.11502 (2024) - [i199]Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen:
A Survey on the Memory Mechanism of Large Language Model based Agents. CoRR abs/2404.13501 (2024) - [i198]Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen:
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. CoRR abs/2405.12591 (2024) - [i197]Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen:
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. CoRR abs/2405.14365 (2024) - [i196]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. CoRR abs/2405.16089 (2024) - [i195]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. CoRR abs/2405.16546 (2024) - [i194]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Tool Learning with Large Language Models: A Survey. CoRR abs/2405.17935 (2024) - [i193]Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. CoRR abs/2405.17998 (2024) - [i192]Zican Dong, Junyi Li, Xin Men, Wayne Xin Zhao, Bingbing Wang, Zhen Tian, Weipeng Chen, Ji-Rong Wen:
Exploring Context Window of Large Language Models via Decomposed Positional Vectors. CoRR abs/2405.18009 (2024) - [i191]Jinxia Yang, Bing Su, Wayne Xin Zhao, Ji-Rong Wen:
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. CoRR abs/2405.19654 (2024) - [i190]Yutao Zhu, Zhaoheng Huang, Zhicheng Dou, Ji-Rong Wen:
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models. CoRR abs/2405.19670 (2024) - [i189]Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu, Ji-Rong Wen:
QAGCF: Graph Collaborative Filtering for Q&A Recommendation. CoRR abs/2406.04828 (2024) - [i188]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. CoRR abs/2406.07932 (2024) - [i187]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Kun Gai, Ji-Rong Wen:
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. CoRR abs/2406.11277 (2024) - [i186]Jie Chen, Yupeng Zhang, Bingning Wang, Wayne Xin Zhao, Ji-Rong Wen, Weipeng Chen:
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. CoRR abs/2406.12397 (2024) - [i185]Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Low-Redundant Optimization for Large Language Model Alignment. CoRR abs/2406.12606 (2024) - [i184]Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Ji-Rong Wen:
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning. CoRR abs/2406.14022 (2024) - [i183]Yifan Du, Kun Zhou, Yuqi Huo, Yifan Li, Wayne Xin Zhao, Haoyu Lu, Zijia Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Towards Event-oriented Long Video Understanding. CoRR abs/2406.14129 (2024) - [i182]Wentong Chen, Yankai Lin, ZhenHao Zhou, HongYun Huang, Yantao Jia, Zhao Cao, Ji-Rong Wen:
ICLEval: Evaluating In-Context Learning Ability of Large Language Models. CoRR abs/2406.14955 (2024) - [i181]Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Zhicheng Dou, Ji-Rong Wen:
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. CoRR abs/2406.18676 (2024) - [i180]Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen:
YuLan: An Open-source Large Language Model. CoRR abs/2406.19853 (2024) - [i179]Haonan Chen, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Query-oriented Data Augmentation for Session Search. CoRR abs/2407.03720 (2024) - [i178]Kai Ruan, Ze-Feng Gao, Yike Guo, Hao Sun, Ji-Rong Wen, Yang Liu:
Discovering symbolic expressions with parallelized tree search. CoRR abs/2407.04405 (2024) - [i177]Tianyi Tang, Yiwen Hu, Bingqian Li, Wenyang Luo, Zijing Qin, Haoxiang Sun, Jiapeng Wang, Shiyi Xu, Xiaoxue Cheng, Geyang Guo, Han Peng, Bowen Zheng, Yiru Tang, Yingqian Min, Yushuo Chen, Jie Chen, Yuanqian Zhao, Luran Ding, Yuhao Wang, Zican Dong, Chunxuan Xia, Junyi Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
LLMBox: A Comprehensive Library for Large Language Models. CoRR abs/2407.05563 (2024) - [i176]Jinhao Jiang, Junyi Li, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen:
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment. CoRR abs/2407.10804 (2024) - [i175]Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou:
Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR abs/2407.17789 (2024) - [i174]Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen:
Towards Effective and Efficient Continual Pre-training of Large Language Models. CoRR abs/2407.18743 (2024) - 2023
- [j107]Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu
:
Self-supervised audiovisual representation learning for remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 116: 103130 (2023) - [j106]Qingyao Ai
, Ting Bai, Zhao Cao
, Yi Chang, Jiawei Chen
, Zhumin Chen, Zhiyong Cheng, Shoubin Dong
, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma
, Zhaochun Ren
, Pengjie Ren, Zhiqiang Wang, Mingwen Wang
, Ji-Rong Wen
, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j105]Ji-Rong Wen
, Zi Huang
, Hanwang Zhang
:
Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning. Mach. Intell. Res. 20(2): 145-146 (2023) - [j104]Yujia Zhou, Jing Yao, Zhicheng Dou
, Ledell Wu, Ji-Rong Wen:
DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index. Mach. Intell. Res. 20(2): 276-288 (2023) - [j103]Wenwen Qiang, Jiangmeng Li, Bing Su
, Jianlong Fu, Hui Xiong, Ji-Rong Wen:
Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. Int. J. Comput. Vis. 131(5): 1211-1233 (2023) - [j102]Zelong Sun, Guoxing Yang, Jingyuan Wen, Nanyi Fei, Zhiwu Lu, Jirong Wen:
Text-to-Chinese-painting Method Based on Multi-domain VQGAN. Int. J. Softw. Informatics 13(2): 197-219 (2023) - [j101]Zhirui Deng, Zhicheng Dou, Ji-Rong Wen:
DeepQFM: a deep learning based query facets mining method. Inf. Retr. J. 26(1): 9 (2023) - [j100]Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis
:
Deep understanding of big geo-social data for autonomous vehicles. Neural Comput. Appl. 35(5): 3585-3586 (2023) - [j99]Kun Zhou
, Yuanhang Zhou, Wayne Xin Zhao
, Ji-Rong Wen
:
Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3935-3944 (2023) - [j98]Jing Yao
, Zheng Liu
, Junhan Yang
, Zhicheng Dou
, Xing Xie
, Ji-Rong Wen
:
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. ACM Trans. Intell. Syst. Technol. 14(2): 32:1-32:24 (2023) - [j97]Yujia Zhou
, Zhicheng Dou
, Ji-Rong Wen:
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks. IEEE Trans. Knowl. Data Eng. 35(4): 3846-3857 (2023) - [j96]Jiangmeng Li
, Wenwen Qiang
, Changwen Zheng
, Bing Su
, Farid Razzak, Ji-Rong Wen
, Hui Xiong:
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. IEEE Trans. Knowl. Data Eng. 35(7): 7220-7238 (2023) - [j95]Xu Chen
, Zhenlei Wang
, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang
, Wayne Xin Zhao
, Ji-Rong Wen
:
Data Augmented Sequential Recommendation Based on Counterfactual Thinking. IEEE Trans. Knowl. Data Eng. 35(9): 9181-9194 (2023) - [j94]Yunshi Lan, Gaole He
, Jinhao Jiang, Jing Jiang
, Wayne Xin Zhao
, Ji-Rong Wen
:
Complex Knowledge Base Question Answering: A Survey. IEEE Trans. Knowl. Data Eng. 35(11): 11196-11215 (2023) - [j93]Hui Wang
, Kun Zhou
, Xin Zhao
, Jingyuan Wang
, Ji-Rong Wen
:
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation. ACM Trans. Inf. Syst. 41(1): 19:1-19:28 (2023) - [j92]Haonan Chen
, Zhicheng Dou
, Qiannan Zhu
, Xiaochen Zuo
, Ji-Rong Wen
:
Integrating Representation and Interaction for Context-Aware Document Ranking. ACM Trans. Inf. Syst. 41(1): 21:1-21:23 (2023) - [j91]Wayne Xin Zhao
, Zihan Lin
, Zhichao Feng
, Pengfei Wang
, Ji-Rong Wen
:
A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms. ACM Trans. Inf. Syst. 41(2): 32:1-32:41 (2023) - [j90]Xubo Qin
, Zhicheng Dou
, Yutao Zhu
, Ji-Rong Wen
:
GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification. ACM Trans. Inf. Syst. 41(2): 34:1-34:36 (2023) - [j89]Kun Zhou
, Hui Wang
, Ji-Rong Wen
, Wayne Xin Zhao
:
Enhancing Multi-View Smoothness for Sequential Recommendation Models. ACM Trans. Inf. Syst. 41(4): 107:1-107:27 (2023) - [j88]Zihua Si
, Zhongxiang Sun
, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang
, Ji-Rong Wen:
Enhancing Recommendation with Search Data in a Causal Learning Manner. ACM Trans. Inf. Syst. 41(4): 111:1-111:31 (2023) - [j87]Han Zhang
, Zhicheng Dou
, Yutao Zhu
, Ji-Rong Wen
:
Contrastive Learning for Legal Judgment Prediction. ACM Trans. Inf. Syst. 41(4): 113:1-113:25 (2023) - [c301]Junyi Li, Tianyi Tang
, Wayne Xin Zhao, Jingyuan Wang, Jian-Yun Nie, Ji-Rong Wen:
The Web Can Be Your Oyster for Improving Language Models. ACL (Findings) 2023: 728-746 - [c300]Ze-Feng Gao, Kun Zhou, Peiyu Liu, Wayne Xin Zhao, Ji-Rong Wen:
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization. ACL (1) 2023: 3819-3834 - [c299]Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang:
TOME: A Two-stage Approach for Model-based Retrieval. ACL (1) 2023: 6102-6114 - [c298]Tianyi Tang
, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
MVP: Multi-task Supervised Pre-training for Natural Language Generation. ACL (Findings) 2023: 8758-8794 - [c297]Yifan Du, Junyi Li, Tianyi Tang
, Wayne Xin Zhao, Ji-Rong Wen:
Zero-shot Visual Question Answering with Language Model Feedback. ACL (Findings) 2023: 9268-9281 - [c296]Tianyi Tang
, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Learning to Imagine: Visually-Augmented Natural Language Generation. ACL (1) 2023: 9468-9481 - [c295]Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Ji-Rong Wen, Rui Yan:
SSP: Self-Supervised Post-training for Conversational Search. ACL (Findings) 2023: 13237-13249 - [c294]Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang, Ji-Rong Wen:
Visually-augmented pretrained language models for NLP tasks without images. ACL (1) 2023: 14912-14929 - [c293]Shuqing Bian
, Xingyu Pan
, Wayne Xin Zhao
, Jinpeng Wang
, Chuyuan Wang
, Ji-Rong Wen
:
Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation. CIKM 2023: 110-119 - [c292]Sunhao Dai
, Yuqi Zhou
, Jun Xu
, Ji-Rong Wen
:
Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. CIKM 2023: 390-399 - [c291]Huaying Yuan
, Zhicheng Dou
, Yujia Zhou
, Yu Guo
, Ji-Rong Wen
:
VILE: Block-Aware Visual Enhanced Document Retrieval. CIKM 2023: 3104-3113 - [c290]Wenqi Sun, Zheng Liu
, Xinyan Fan, Ji-Rong Wen, Wayne Xin Zhao:
Towards Efficient and Effective Transformers for Sequential Recommendation. DASFAA (2) 2023: 341-356 - [c289]Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen:
Evaluating Object Hallucination in Large Vision-Language Models. EMNLP 2023: 292-305 - [c288]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. EMNLP 2023: 3721-3735 - [c287]Junyi Li, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models. EMNLP 2023: 6449-6464 - [c286]Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Xin Zhao, Ji-Rong Wen:
StructGPT: A General Framework for Large Language Model to Reason over Structured Data. EMNLP 2023: 9237-9251 - [c285]Xiaolei Wang
, Xinyu Tang, Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. EMNLP 2023: 10052-10065 - [c284]Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback. EMNLP 2023: 12481-12490 - [c283]Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Xin Zhao, Ji-Rong Wen:
Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing. EMNLP (Findings) 2023: 13771-13785 - [c282]Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Xin Zhao, Ji-Rong Wen:
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. EMNLP (Findings) 2023: 14777-14790 - [c281]Ruiyang Ren, Yingqi Qu, Jing Liu, Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen:
A Thorough Examination on Zero-shot Dense Retrieval. EMNLP (Findings) 2023: 15783-15796 - [c280]Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen:
Sequential Recommendation with User Causal Behavior Discovery. ICDE 2023: 28-40 - [c279]Jing Yao, Zhicheng Dou, Jian-Yun Nie
, Ji-Rong Wen:
Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract. ICDE 2023: 3839-3840 - [c278]Jinhao Jiang, Kun Zhou, Xin Zhao, Ji-Rong Wen:
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. ICLR 2023 - [c277]Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. IJCAI 2023: 6692-6701 - [c276]Shitong Dai
, Jiongnan Liu
, Zhicheng Dou
, Haonan Wang
, Lin Liu
, Bo Long
, Ji-Rong Wen
:
Contrastive Learning for User Sequence Representation in Personalized Product Search. KDD 2023: 380-389 - [c275]Zhan Su
, Zhicheng Dou
, Yujia Zhou
, Ziyuan Zhao
, Ji-Rong Wen
:
PSLOG: Pretraining with Search Logs for Document Ranking. KDD 2023: 2072-2082 - [c274]Xiaolei Wang
, Kun Zhou
, Xinyu Tang
, Wayne Xin Zhao
, Fan Pan
, Zhao Cao
, Ji-Rong Wen
:
Improving Conversational Recommendation Systems via Counterfactual Data Simulation. KDD 2023: 2398-2408 - [c273]Xin Zhao
, Kun Zhou
, Beichen Zhang
, Zheng Gong
, Zhipeng Chen
, Yuanhang Zhou
, Ji-Rong Wen
, Jing Sha
, Shijin Wang
, Cong Liu
, Guoping Hu
:
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. KDD 2023: 5660-5672 - [c272]Zhao Yang
, Bing Su
, Ji-Rong Wen
:
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. ACM Multimedia 2023: 3954-3964 - [c271]Jiexin Wang
, Yujie Zhou, Wenwen Qiang
, Ying Ba
, Bing Su, Ji-Rong Wen
:
Spatio-Temporal Branching for Motion Prediction using Motion Increments. ACM Multimedia 2023: 4290-4299 - [c270]Zezhong Lv
, Bing Su
, Ji-Rong Wen
:
Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. ACM Multimedia 2023: 6539-6547 - [c269]Hongfeng Han, Zhiwu Lu, Ji-Rong Wen:
Binary Neural Network for Video Action Recognition. MMM (1) 2023: 95-106 - [c268]Hongfeng Han, Zhiwu Lu, Ji-Rong Wen:
CTDA: Contrastive Temporal Domain Adaptation for Action Segmentation. MMM (2) 2023: 562-574 - [c267]Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen:
Reward Imputation with Sketching for Contextual Batched Bandits. NeurIPS 2023 - [c266]Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. NeurIPS 2023 - [c265]Beichen Zhang, Kun Zhou, Xilin Wei, Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. NeurIPS 2023 - [c264]Kun Zhou
, Xiao Liu
, Yeyun Gong
, Wayne Xin Zhao
, Daxin Jiang
, Nan Duan
, Ji-Rong Wen
:
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. ECML/PKDD (2) 2023: 630-647 - [c263]Zhipeng Zhao
, Kun Zhou
, Xiaolei Wang
, Wayne Xin Zhao
, Fan Pan
, Zhao Cao
, Ji-Rong Wen
:
Alleviating the Long-Tail Problem in Conversational Recommender Systems. RecSys 2023: 374-385 - [c262]Haiyuan Zhao
, Lei Zhang
, Jun Xu
, Guohao Cai
, Zhenhua Dong
, Ji-Rong Wen
:
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. RecSys 2023: 528-539 - [c261]Wenqi Sun
, Ruobing Xie
, Junjie Zhang
, Wayne Xin Zhao
, Leyu Lin
, Ji-Rong Wen
:
Generative Next-Basket Recommendation. RecSys 2023: 737-743 - [c260]Zihua Si
, Zhongxiang Sun
, Xiao Zhang, Jun Xu, Xiaoxue Zang
, Yang Song, Kun Gai, Ji-Rong Wen:
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. SIGIR 2023: 1313-1323 - [c259]Zhen Tian
, Ting Bai
, Wayne Xin Zhao
, Ji-Rong Wen
, Zhao Cao
:
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. SIGIR 2023: 1376-1385 - [c258]Zhongxiang Sun
, Jun Xu
, Xiao Zhang
, Zhenhua Dong
, Ji-Rong Wen
:
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. SIGIR 2023: 1549-1558 - [c257]Lanling Xu
, Zhen Tian
, Gaowei Zhang
, Junjie Zhang
, Lei Wang
, Bowen Zheng
, Yifan Li
, Jiakai Tang
, Zeyu Zhang
, Yupeng Hou
, Xingyu Pan
, Wayne Xin Zhao
, Xu Chen
, Ji-Rong Wen
:
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. SIGIR 2023: 2837-2847 - [c256]Haiyuan Zhao
, Jun Xu
, Xiao Zhang
, Guohao Cai
, Zhenhua Dong
, Ji-Rong Wen
:
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. SIGIR-AP 2023: 129-138 - [c255]Zhen Tian
, Ting Bai
, Zibin Zhang
, Zhiyuan Xu
, Kangyi Lin
, Ji-Rong Wen
, Wayne Xin Zhao
:
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. WSDM 2023: 715-723 - [c254]Haiyuan Zhao
, Jun Xu
, Xiao Zhang
, Guohao Cai
, Zhenhua Dong
, Ji-Rong Wen
:
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. WSDM 2023: 913-921 - [c253]Shuting Wang
, Zhicheng Dou
, Jing Yao
, Yujia Zhou
, Ji-Rong Wen
:
Incorporating Explicit Subtopics in Personalized Search. WWW 2023: 3364-3374 - [i173]Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. CoRR abs/2303.00168 (2023) - [i172]Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. CoRR abs/2303.06574 (2023) - [i171]Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CoRR abs/2303.08722 (2023) - [i170]Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Wayne Xin Zhao, Ji-Rong Wen:
Scaling Pre-trained Language Models to Deeper via Parameter-efficient Architecture. CoRR abs/2303.16753 (2023) - [i169]Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang
, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie
, Ji-Rong Wen:
A Survey of Large Language Models. CoRR abs/2303.18223 (2023) - [i168]Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu
, Ruofei Lai, Zhao Cao, Jian-Yun Nie
, Ji-Rong Wen:
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus. CoRR abs/2304.04358 (2023) - [i167]Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao:
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. CoRR abs/2304.10711 (2023) - [i166]Junyi Li, Wayne Xin Zhao, Jian-Yun Nie
, Ji-Rong Wen:
RenderDiffusion: Text Generation as Image Generation. CoRR abs/2304.12519 (2023) - [i165]Kun Zhou, Yifan Li, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. CoRR abs/2305.04044 (2023) - [i164]Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. CoRR abs/2305.07001 (2023) - [i163]Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Wayne Xin Zhao, Ji-Rong Wen:
StructGPT: A General Framework for Large Language Model to Reason over Structured Data. CoRR abs/2305.09645 (2023) - [i162]Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen:
Evaluating Object Hallucination in Large Vision-Language Models. CoRR abs/2305.10355 (2023) - [i161]Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen:
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. CoRR abs/2305.10822 (2023) - [i160]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, Jian-Yun Nie, Ji-Rong Wen:
The Web Can Be Your Oyster for Improving Large Language Models. CoRR abs/2305.10998 (2023) - [i159]Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang:
TOME: A Two-stage Approach for Model-based Retrieval. CoRR abs/2305.11161 (2023) - [i158]Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie
, Ji-Rong Wen:
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models. CoRR abs/2305.11747 (2023) - [i157]Jiahao Chen, Yurou Liu, Jiangmeng Li, Bing Su, Jirong Wen:
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning. CoRR abs/2305.12618 (2023) - [i156]Xiaolei Wang
, Xinyu Tang, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. CoRR abs/2305.13112 (2023) - [i155]Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Wayne Xin Zhao, Ji-Rong Wen:
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. CoRR abs/2305.14323 (2023) - [i154]Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Learning to Imagine: Visually-Augmented Natural Language Generation. CoRR abs/2305.16944 (2023) - [i153]Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Zero-shot Visual Question Answering with Language Model Feedback. CoRR abs/2305.17006 (2023) - [i152]Beichen Zhang, Kun Zhou, Xilin Wei, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. CoRR abs/2306.02408 (2023) - [i151]Lei Wang, Jingsen Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Ji-Rong Wen:
RecAgent: A Novel Simulation Paradigm for Recommender Systems. CoRR abs/2306.02552 (2023) - [i150]Xiaolei Wang
, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen:
Improving Conversational Recommendation Systems via Counterfactual Data Simulation. CoRR abs/2306.02842 (2023) - [i149]Jiongnan Liu
, Jiajie Jin, Zihan Wang, Jiehan Cheng, Zhicheng Dou, Ji-Rong Wen:
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit. CoRR abs/2306.05212 (2023) - [i148]Wayne Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu:
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. CoRR abs/2306.11027 (2023) - [i147]Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Ji-Rong Wen, Rui Yan:
SSP: Self-Supervised Post-training for Conversational Search. CoRR abs/2307.00569 (2023) - [i146]Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR abs/2307.08072 (2023) - [i145]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i144]Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hao Tian, Hua Wu, Ji-Rong Wen, Haifeng Wang:
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation. CoRR abs/2307.11019 (2023) - [i143]Zhipeng Zhao, Kun Zhou, Xiaolei Wang
, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen:
Alleviating the Long-Tail Problem in Conversational Recommender Systems. CoRR abs/2307.11650 (2023) - [i142]Zhao Yang, Bing Su, Ji-Rong Wen:
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. CoRR abs/2308.01850 (2023) - [i141]Zezhong Lv, Bing Su, Ji-Rong Wen:
Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. CoRR abs/2308.05648 (2023) - [i140]Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen:
LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops. CoRR abs/2308.05902 (2023) - [i139]Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu
, Wenhan Liu, Chenlong Deng, Zhicheng Dou, Ji-Rong Wen:
Large Language Models for Information Retrieval: A Survey. CoRR abs/2308.07107 (2023) - [i138]Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. CoRR abs/2308.08120 (2023) - [i137]Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen:
A Survey on Large Language Model based Autonomous Agents. CoRR abs/2308.11432 (2023) - [i136]Hongjin Qian, Zhicheng Dou, Jiejun Tan, Haonan Chen, Haoqi Gu, Ruofei Lai, Xinyu Zhang, Zhao Cao, Ji-Rong Wen:
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection. CoRR abs/2308.15711 (2023) - [i135]Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models. CoRR abs/2309.13345 (2023) - [i134]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. CoRR abs/2310.09233 (2023) - [i133]Hongda Sun, Weikai Xu, Wei Liu, Jian Luan, Bin Wang, Shuo Shang, Ji-Rong Wen, Rui Yan:
From Indeterminacy to Determinacy: Augmenting Logical Reasoning Capabilities with Large Language Models. CoRR abs/2310.18659 (2023) - [i132]Yifan Du, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Mingchen Cai, Ruihua Song, Ji-Rong Wen:
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning. CoRR abs/2311.01487 (2023) - [i131]Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, Jiawei Han:
Don't Make Your LLM an Evaluation Benchmark Cheater. CoRR abs/2311.01964 (2023) - [i130]Geyang Guo, Ranchi Zhao, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment. CoRR abs/2311.04072 (2023) - [i129]Ze-Feng Gao, Shuai Qu, Bocheng Zeng, Yang Liu, Ji-Rong Wen, Hao Sun, Peng-Jie Guo, Zhong-Yi Lu:
AI-accelerated Discovery of Altermagnetic Materials. CoRR abs/2311.04418 (2023) - [i128]Ang Lv, Kaiyi Zhang, Shufang Xie, Quan Tu, Yuhan Chen, Ji-Rong Wen, Rui Yan:
Are We Falling in a Middle-Intelligence Trap? An Analysis and Mitigation of the Reversal Curse. CoRR abs/2311.07468 (2023) - [i127]Wenkai Yang, Yankai Lin, Jie Zhou, Jirong Wen:
Enabling Large Language Models to Learn from Rules. CoRR abs/2311.08883 (2023) - [i126]Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen:
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. CoRR abs/2311.09049 (2023) - [i125]Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Scaling Law of Large Sequential Recommendation Models. CoRR abs/2311.11351 (2023) - [i124]Zhen Tian, Changwang Zhang, Wayne Xin Zhao, Xin Zhao, Ji-Rong Wen, Zhao Cao:
UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction. CoRR abs/2311.15493 (2023) - [i123]Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li:
A Survey of Reasoning with Foundation Models. CoRR abs/2312.11562 (2023) - 2022
- [j86]Tingchen Fu
, Sheng Gao, Xueliang Zhao, Ji-Rong Wen
, Rui Yan:
Learning towards conversational AI: A survey. AI Open 3: 14-28 (2022) - [j85]Guoping Zhao, Mingyu Zhang, Jiajun Liu, Yaxian Li, Ji-Rong Wen:
AP-GAN: Adversarial patch attack on content-based image retrieval systems. GeoInformatica 26(2): 347-377 (2022) - [j84]Bing Su
, Jiahuan Zhou
, Ji-Rong Wen
, Ying Wu:
Linear and Deep Order-Preserving Wasserstein Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3123-3138 (2022) - [j83]Di Hu
, Yake Wei, Rui Qian
, Weiyao Lin
, Ruihua Song, Ji-Rong Wen
:
Class-Aware Sounding Objects Localization via Audiovisual Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9844-9859 (2022) - [j82]Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Edge-based Local Push for Personalized PageRank. Proc. VLDB Endow. 15(7): 1376-1389 (2022) - [j81]Weijie Yu
, Chen Xu, Jun Xu
, Liang Pang, Ji-Rong Wen:
Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. IEEE ACM Trans. Audio Speech Lang. Process. 30: 721-733 (2022) - [j80]Jing Yao
, Zhicheng Dou
, Jian-Yun Nie
, Ji-Rong Wen
:
Looking Back on the Past: Active Learning With Historical Evaluation Results. IEEE Trans. Knowl. Data Eng. 34(10): 4921-4932 (2022) - [j79]Tianjing Zeng
, Zhewei Wei
, Ge Luo
, Ke Yi
, Xiaoyong Du
, Ji-Rong Wen
:
Persistent Summaries. ACM Trans. Database Syst. 47(3): 11:1-11:42 (2022) - [j78]Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li, Ji-Rong Wen:
Knowledge-Guided Disentangled Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. 40(1): 6:1-6:26 (2022) - [j77]Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen:
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. 40(1): 11:1-11:29 (2022) - [j76]Jing Yao, Zhicheng Dou
, Ji-Rong Wen:
Clarifying Ambiguous Keywords with Personal Word Embeddings for Personalized Search. ACM Trans. Inf. Syst. 40(3): 43:1-43:29 (2022) - [c252]Quan Tu, Yanran Li, Jianwei Cui, Bin Wang, Ji-Rong Wen, Rui Yan:
MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation. ACL (1) 2022: 308-319 - [c251]Zhuocheng Gong, Di He, Yelong Shen, Tie-Yan Liu, Weizhu Chen, Dongyan Zhao, Ji-Rong Wen, Rui Yan:
Finding the Dominant Winning Ticket in Pre-Trained Language Models. ACL (Findings) 2022: 1459-1472 - [c250]Tingchen Fu, Xueliang Zhao, Chongyang Tao, Ji-Rong Wen, Rui Yan:
There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory. ACL (1) 2022: 3901-3913 - [c249]Zheng Gong, Kun Zhou, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network. ACL (1) 2022: 5923-5933 - [c248]Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. ACL (1) 2022: 6120-6130 - [c247]Haonan Chen, Zhicheng Dou
, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen:
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. CIKM 2022: 180-190 - [c246]Chen Xu
, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CIKM 2022: 2260-2269 - [c245]Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen:
A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation. CIKM 2022: 2923-2932 - [c244]Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang
, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang
, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen:
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CIKM 2022: 4722-4726 - [c243]Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Semantic Sentence Matching via Interacting Syntax Graphs. COLING 2022: 938-949 - [c242]Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen:
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. COLING 2022: 2363-2373 - [c241]Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen:
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. COLING 2022: 3263-3273 - [c240]Tianyi Tang
, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. COLING 2022: 6340-6354 - [c239]Haoyu Lu, Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu, Ji-Rong Wen:
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. CVPR 2022: 15671-15680 - [c238]Guangyao Li, Yake Wei, Yapeng Tian, Chenliang Xu, Ji-Rong Wen, Di Hu:
Learning to Answer Questions in Dynamic Audio-Visual Scenarios. CVPR 2022: 19086-19096 - [c237]Yupeng Hou
, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen:
Leveraging Search History for Improving Person-Job Fit. DASFAA (1) 2022: 38-54 - [c236]Tianyi Tang
, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
TextBox 2.0: A Text Generation Library with Pre-trained Language Models. EMNLP (Demos) 2022: 435-444 - [c235]Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan:
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. EMNLP (Industry Track) 2022: 548-559 - [c234]Junyi Li, Tianyi Tang
, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation. EMNLP 2022: 1044-1058 - [c233]Yuqing Li, Yuxin Zhang, Bin Wu, Ji-Rong Wen, Ruihua Song, Ting Bai:
A Multi-Modal Knowledge Graph for Classical Chinese Poetry. EMNLP (Findings) 2022: 2318-2326 - [c232]Gautam Srivastava, Guoliang Li, Jirong Wen:
Message from Data Science and Systems 2022 General Chairs. HPCC/DSS/SmartCity/DependSys 2022: lxxviii - [c231]Yaxian Li, Bingqing Zhang, Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ziwei Wang
, Jirong Wen:
InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee. ICANN (3) 2022: 162-175 - [c230]Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. ICDM 2022: 191-200 - [c229]Bing Su, Ji-Rong Wen:
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification. ICLR 2022 - [c228]Guoping Zhao, Bingqing Zhang, Mingyu Zhang, Yaxian Li, Jiajun Liu, Ji-Rong Wen:
STAR-GNN: Spatial-Temporal Video Representation for Content-Based Retrieval. ICME 2022: 1-6 - [c227]Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen:
A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. ICTIR 2022: 232-242 - [c226]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. KDD 2022: 585-593 - [c225]Zhan Su, Zhicheng Dou
, Yutao Zhu, Ji-Rong Wen:
Knowledge Enhanced Search Result Diversification. KDD 2022: 1687-1695 - [c224]Xiaolei Wang
, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. KDD 2022: 1929-1937 - [c223]Xiao Zhang, Sunhao Dai
, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. KDD 2022: 2504-2514 - [c222]Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen:
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. KDD 2022: 3327-3335 - [c221]Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen:
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. KDD 2022: 4571-4581 - [c220]Jinhao Jiang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
$Great Truths are Always Simple: $ A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. NAACL-HLT (Findings) 2022: 1730-1741 - [c219]Junyi Li, Tianyi Tang
, Jian-Yun Nie, Ji-Rong Wen, Xin Zhao:
Learning to Transfer Prompts for Text Generation. NAACL-HLT 2022: 3506-3518 - [c218]Junyi Li, Tianyi Tang
, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Xin Zhao, Ji-Rong Wen:
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. NAACL-HLT 2022: 3519-3539 - [c217]Hanxun Zhong, Zhicheng Dou, Yutao Zhu, Hongjin Qian, Ji-Rong Wen:
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation. NAACL-HLT 2022: 5808-5820 - [c216]Bing Su, Ji-Rong Wen:
Log-Polar Space Convolution Layers. NeurIPS 2022 - [c215]Mingguo He, Zhewei Wei, Ji-Rong Wen:
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited. NeurIPS 2022 - [c214]Hongda Sun, Shufang Xie, Shuqi Li, Yuhan Chen, Ji-Rong Wen, Rui Yan:
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records. NeurIPS 2022 - [c213]Hongfeng Han
, Nanyi Fei
, Zhiwu Lu
, Ji-Rong Wen
:
Supervised Contrastive Learning for Few-Shot Action Classification. ECML/PKDD (3) 2022: 512-528 - [c212]Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao:
Modeling Two-Way Selection Preference for Person-Job Fit. RecSys 2022: 102-112 - [c211]Yupeng Hou
, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. SDM 2022: 172-180 - [c210]Ziliang Zhao, Zhicheng Dou
, Jiaxin Mao, Ji-Rong Wen:
Generating Clarifying Questions with Web Search Results. SIGIR 2022: 234-244 - [c209]Weijie Yu, Zhongxiang Sun, Jun Xu
, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. SIGIR 2022: 657-668 - [c208]Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen:
Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. SIGIR 2022: 1401-1411 - [c207]Xiaochen Zuo, Zhicheng Dou
, Ji-Rong Wen:
Improving Session Search by Modeling Multi-Granularity Historical Query Change. WSDM 2022: 1534-1542 - [c206]Zihua Si
, Xueran Han, Xiao Zhang, Jun Xu
, Yue Yin, Yang Song, Ji-Rong Wen:
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. WWW 2022: 224-233 - [c205]Jiongnan Liu
, Zhicheng Dou
, Qiannan Zhu, Ji-Rong Wen:
A Category-aware Multi-interest Model for Personalized Product Search. WWW 2022: 360-368 - [c204]Lang Mei, Jiaxin Mao, Gang Guo, Ji-Rong Wen:
Learning Probabilistic Box Embeddings for Effective and Efficient Ranking. WWW 2022: 473-482 - [c203]Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen:
Unbiased Sequential Recommendation with Latent Confounders. WWW 2022: 2195-2204 - [c202]Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen:
Filter-enhanced MLP is All You Need for Sequential Recommendation. WWW 2022: 2388-2399 - [i122]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
A Survey of Pretrained Language Models Based Text Generation. CoRR abs/2201.05273 (2022) - [i121]Mingguo He, Zhewei Wei, Ji-Rong Wen:
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited. CoRR abs/2202.03580 (2022) - [i120]Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen:
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. CoRR abs/2202.04514 (2022) - [i119]Xu Chen, Yongfeng Zhang, Ji-Rong Wen:
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation. CoRR abs/2202.06466 (2022) - [i118]Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen:
Filter-enhanced MLP is All You Need for Sequential Recommendation. CoRR abs/2202.13556 (2022) - [i117]Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen:
DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index. CoRR abs/2203.00537 (2022) - [i116]Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen:
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. CoRR abs/2203.01104 (2022) - [i115]Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. CoRR abs/2203.01597 (2022) - [i114]Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Edge-based Local Push for Personalized PageRank. CoRR abs/2203.07937 (2022) - [i113]Quan Tu, Yanran Li, Jianwei Cui, Bin Wang, Ji-Rong Wen, Rui Yan:
MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation. CoRR abs/2203.13560 (2022) - [i112]Guangyao Li, Yake Wei, Yapeng Tian, Chenliang Xu, Ji-Rong Wen, Di Hu:
Learning to Answer Questions in Dynamic Audio-Visual Scenarios. CoRR abs/2203.14072 (2022) - [i111]Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen:
Leveraging Search History for Improving Person-Job Fit. CoRR abs/2203.14232 (2022) - [i110]Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Sequential Recommendation with Causal Behavior Discovery. CoRR abs/2204.00216 (2022) - [i109]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition. CoRR abs/2204.00815 (2022) - [i108]Tingchen Fu, Xueliang Zhao, Chongyang Tao, Ji-Rong Wen, Rui Yan:
There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory. CoRR abs/2204.02624 (2022) - [i107]Haoyu Lu, Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu, Ji-Rong Wen:
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. CoRR abs/2204.07441 (2022) - [i106]Hanxun Zhong, Zhicheng Dou, Yutao Zhu, Hongjin Qian, Ji-Rong Wen:
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation. CoRR abs/2204.08128 (2022) - [i105]Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen:
A Thorough Examination on Zero-shot Dense Retrieval. CoRR abs/2204.12755 (2022) - [i104]Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. CoRR abs/2205.00656 (2022) - [i103]Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Wayne Xin Zhao, Ji-Rong Wen:
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. CoRR abs/2205.01523 (2022) - [i102]Junyi Li, Tianyi Tang, Jian-Yun Nie
, Ji-Rong Wen, Wayne Xin Zhao:
Learning to Transfer Prompts for Text Generation. CoRR abs/2205.01543 (2022) - [i101]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. CoRR abs/2205.01841 (2022) - [i100]Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang
, Xing Xie, Ji-Rong Wen:
Negative Sampling for Contrastive Representation Learning: A Review. CoRR abs/2206.00212 (2022) - [i99]Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen:
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. CoRR abs/2206.05020 (2022) - [i98]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. CoRR abs/2206.05941 (2022) - [i97]Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen:
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. CoRR abs/2206.06315 (2022) - [i96]Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen:
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CoRR abs/2206.07351 (2022) - [i95]Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. CoRR abs/2206.09363 (2022) - [i94]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
MVP: Multi-task Supervised Pre-training for Natural Language Generation. CoRR abs/2206.12131 (2022) - [i93]Weijie Yu, Zhongxiang Sun, Jun Xu
, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. CoRR abs/2207.04182 (2022) - [i92]Yaxian Li, Bingqing Zhang, Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ziwei Wang, Jirong Wen:
InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee. CoRR abs/2208.06962 (2022) - [i91]Guoping Zhao, Bingqing Zhang, Mingyu Zhang, Yaxian Li, Jiajun Liu, Ji-Rong Wen:
STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval. CoRR abs/2208.06966 (2022) - [i90]Haoyu Lu, Qiongyi Zhou, Nanyi Fei, Zhiwu Lu, Mingyu Ding, Jingyuan Wen, Changde Du, Xin Zhao, Hao Sun, Huiguang He
, Ji-Rong Wen:
Multimodal foundation models are better simulators of the human brain. CoRR abs/2208.08263 (2022) - [i89]Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao:
Modeling Two-Way Selection Preference for Person-Job Fit. CoRR abs/2208.08612 (2022) - [i88]Yujia Zhou, Jing Yao, Zhicheng Dou
, Ledell Wu, Peitian Zhang, Ji-Rong Wen:
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer. CoRR abs/2208.09257 (2022) - [i87]Haonan Chen, Zhicheng Dou
, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen:
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. CoRR abs/2208.10846 (2022) - [i86]Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, Jirong Wen:
A Brief History of Recommender Systems. CoRR abs/2209.01860 (2022) - [i85]Bing Su, Dazhao Du, Zhao Yang, Yujie Zhou, Jiangmeng Li, Anyi Rao, Hao Sun, Zhiwu Lu, Ji-Rong Wen:
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. CoRR abs/2209.05481 (2022) - [i84]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong:
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. CoRR abs/2209.07811 (2022) - [i83]Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen:
Partial Information as Full: Reward Imputation with Sketching in Bandits. CoRR abs/2210.06719 (2022) - [i82]Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen:
Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach. CoRR abs/2210.11012 (2022) - [i81]Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. CoRR abs/2210.11730 (2022) - [i80]Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan
, Weizhu Chen:
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. CoRR abs/2210.11773 (2022) - [i79]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie
, Ji-Rong Wen:
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation. CoRR abs/2210.13304 (2022) - [i78]Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao:
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. CoRR abs/2211.11159 (2022) - [i77]Wayne Xin Zhao, Jing Liu, Ruiyang Ren, Ji-Rong Wen:
Dense Text Retrieval based on Pretrained Language Models: A Survey. CoRR abs/2211.14876 (2022) - [i76]Lanling Xu, Zhen Tian, Gaowei Zhang, Lei Wang, Junjie Zhang, Bowen Zheng, Yifan Li, Yupeng Hou, Xingyu Pan, Yushuo Chen, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen:
Recent Advances in RecBole: Extensions with more Practical Considerations. CoRR abs/2211.15148 (2022) - [i75]Jing Yao, Zheng Liu
, Junhan Yang, Zhicheng Dou
, Xing Xie, Ji-Rong Wen:
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. CoRR abs/2211.17171 (2022) - [i74]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. CoRR abs/2212.00959 (2022) - [i73]Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang
, Nan Duan
, Ji-Rong Wen:
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers. CoRR abs/2212.07841 (2022) - [i72]Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang
, Ji-Rong Wen:
Visually-augmented pretrained language models for NLP tasks without images. CoRR abs/2212.07937 (2022) - [i71]Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Zican Dong, Xiaoxue Cheng, Yuhao Wang, Wayne Xin Zhao, Jian-Yun Nie
, Ji-Rong Wen:
TextBox 2.0: A Text Generation Library with Pre-trained Language Models. CoRR abs/2212.13005 (2022) - 2021
- [j75]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) - [j74]Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou
, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu
, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021) - [j73]Shuo Shang, Jianbing Shen
, Ji-Rong Wen, Panos Kalnis
:
Deep understanding of big geospatial data for self-driving cars. Neurocomputing 428: 308-309 (2021) - [j72]Guoping Zhao, Mingyu Zhang, Yaxian Li, Jiajun Liu, Bingqing Zhang, Ji-Rong Wen:
Pyramid regional graph representation learning for content-based video retrieval. Inf. Process. Manag. 58(3): 102488 (2021) - [j71]Jiechao Guan, Zhiwu Lu
, Tao Xiang
, Aoxue Li
, An Zhao, Ji-Rong Wen:
Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2510-2523 (2021) - [j70]Jing Yao
, Zhicheng Dou
, Jun Xu
, Ji-Rong Wen:
RLPS: A Reinforcement Learning-Based Framework for Personalized Search. ACM Trans. Inf. Syst. 39(3): 27:1-27:29 (2021) - [j69]Rui Yan
, Weiheng Liao, Dongyan Zhao, Ji-Rong Wen:
Multi-Response Awareness for Retrieval-Based Conversations: Respond with Diversity via Dynamic Representation Learning. ACM Trans. Inf. Syst. 39(4): 54:1-54:29 (2021) - [j68]Hanzhi Wang, Zhewei Wei, Yu Liu, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
ExactSim: benchmarking single-source SimRank algorithms with high-precision ground truths. VLDB J. 30(6): 989-1015 (2021) - [c201]Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen:
Regret Bounds for Online Kernel Selection in Continuous Kernel Space. AAAI 2021: 10931-10938 - [c200]Junyi Li, Tianyi Tang
, Gaole He
, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen:
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. ACL (demo) 2021: 30-39 - [c199]Kun Zhou, Xiaolei Wang
, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. ACL (demo) 2021: 185-193 - [c198]Junyi Li, Tianyi Tang
, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. ACL/IJCNLP (Findings) 2021: 1558-1568 - [c197]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen:
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. ACL/IJCNLP (1) 2021: 1752-1763 - [c196]Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. ACL/IJCNLP (Findings) 2021: 2173-2183 - [c195]Chongyang Tao, Changyu Chen, Jiazhan Feng, Ji-Rong Wen, Rui Yan:
A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations. ACL/IJCNLP (1) 2021: 4446-4457 - [c194]Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie
, Zhong-Yi Lu, Ji-Rong Wen:
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. ACL/IJCNLP (1) 2021: 5388-5398 - [c193]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks. APWeb/WAIM (2) 2021: 49-63 - [c192]Xubo Qin
, Zhicheng Dou
, Yutao Zhu, Ji-Rong Wen:
Interaction-Based Document Matching for Implicit Search Result Diversification. CCIR 2021: 3-15 - [c191]Zhengyi Ma, Zhicheng Dou
, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen:
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. CIKM 2021: 1212-1221 - [c190]Hongjin Qian
, Zhicheng Dou
, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen:
Learning Implicit User Profile for Personalized Retrieval-Based Chatbot. CIKM 2021: 1467-1477 - [c189]Jing Yao, Zhicheng Dou
, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen:
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence. CIKM 2021: 2373-2382 - [c188]Yujia Zhou, Zhicheng Dou
, Yutao Zhu, Ji-Rong Wen:
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling. CIKM 2021: 2749-2758 - [c187]Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen:
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. CIKM 2021: 3737-3746 - [c186]Wayne Xin Zhao, Shanlei Mu, Yupeng Hou
, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang
, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen:
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM 2021: 4653-4664 - [c185]Han Zhang
, Zhicheng Dou
, Yutao Zhu, Jirong Wen:
Few-Shot Charge Prediction with Multi-grained Features and Mutual Information. CCL 2021: 387-403 - [c184]Yulei Niu, Kaihua Tang, Hanwang Zhang
, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen:
Counterfactual VQA: A Cause-Effect Look at Language Bias. CVPR 2021: 12700-12710 - [c183]Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. EMNLP (1) 2021: 2825-2835 - [c182]Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen:
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. EMNLP (1) 2021: 3875-3887 - [c181]Hongfeng Han, Guoxing Yang, Yuqi Huo, Zhiwu Lu, Ji-Rong Wen:
Complex Action Segmentation in Compressed Videos. ICME 2021: 1-6 - [c180]Yunshi Lan, Gaole He
, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. IJCAI 2021: 4483-4491 - [c179]Junyi Li, Tianyi Tang
, Wayne Xin Zhao, Ji-Rong Wen:
Pretrained Language Model for Text Generation: A Survey. IJCAI 2021: 4492-4499 - [c178]Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang
, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Approximate Graph Propagation. KDD 2021: 1686-1696 - [c177]Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen:
Debiasing Learning based Cross-domain Recommendation. KDD 2021: 3190-3199 - [c176]Yuqi Huo, Mingyu Ding, Haoyu Lu, Nanyi Fei, Zhiwu Lu, Ji-Rong Wen, Ping Luo:
Compressed Video Contrastive Learning. NeurIPS 2021: 14176-14187 - [c175]Xiaoxuan Hu, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao, Ji-Rong Wen:
RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer. NLPCC (1) 2021: 196-209 - [c174]Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu
, Ji-Rong Wen:
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. SIGIR 2021: 41-50 - [c173]Yujia Zhou, Zhicheng Dou
, Bingzheng Wei
, Ruobing Xie, Ji-Rong Wen:
Group based Personalized Search by Integrating Search Behaviour and Friend Network. SIGIR 2021: 92-101 - [c172]Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-based Review Generation by Coherence Enhanced Text Planning. SIGIR 2021: 183-192 - [c171]Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Counterfactual Data-Augmented Sequential Recommendation. SIGIR 2021: 347-356 - [c170]Zhengyi Ma, Zhicheng Dou
, Yutao Zhu
, Hanxun Zhong, Ji-Rong Wen:
One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles. SIGIR 2021: 555-564 - [c169]Zhan Su, Zhicheng Dou
, Yutao Zhu, Xubo Qin
, Ji-Rong Wen:
Modeling Intent Graph for Search Result Diversification. SIGIR 2021: 736-746 - [c168]Xinyan Fan, Zheng Liu
, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen:
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. SIGIR 2021: 1733-1737 - [c167]Hongjin Qian
, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou
, Ji-Rong Wen:
Pchatbot: A Large-Scale Dataset for Personalized Chatbot. SIGIR 2021: 2470-2477 - [c166]An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen:
Domain-Adaptive Few-Shot Learning. WACV 2021: 1389-1398 - [c165]Kerui Xu, Jingxuan Yang, Jun Xu
, Sheng Gao, Jun Guo, Ji-Rong Wen:
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. WSDM 2021: 364-372 - [c164]Gaole He
, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021: 553-561 - [c163]Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen:
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. WWW 2021: 3199-3209 - [c162]Jing Yao, Zhicheng Dou
, Ji-Rong Wen:
FedPS: A Privacy Protection Enhanced Personalized Search Framework. WWW 2021: 3757-3766 - [i70]Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. CoRR abs/2101.00939 (2021) - [i69]Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Wayne Xin Zhao, Ji-Rong Wen:
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. CoRR abs/2101.02046 (2021) - [i68]Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. CoRR abs/2101.03737 (2021) - [i67]Yuqi Huo, Manli Zhang, Guangzhen Liu, Haoyu Lu, Yizhao Gao, Guoxing Yang, Jingyuan Wen, Heng Zhang, Baogui Xu, Weihao Zheng, Zongzheng Xi, Yueqian Yang, Anwen Hu, Jinming Zhao, Ruichen Li, Yida Zhao, Liang Zhang, Yuqing Song, Xin Hong, Wanqing Cui, Dan Yang Hou, Yingyan Li, Junyi Li, Peiyu Liu, Zheng Gong, Chuhao Jin, Yuchong Sun, Shizhe Chen, Zhiwu Lu, Zhicheng Dou, Qin Jin, Yanyan Lan, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen:
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. CoRR abs/2103.06561 (2021) - [i66]Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-based Review Generation by Coherence Enhanced Text Planning. CoRR abs/2105.03815 (2021) - [i65]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Pretrained Language Models for Text Generation: A Survey. CoRR abs/2105.10311 (2021) - [i64]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. CoRR abs/2105.11644 (2021) - [i63]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. CoRR abs/2106.01623 (2021) - [i62]Peiyu Liu, Ze-Feng Gao
, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen:
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. CoRR abs/2106.02205 (2021) - [i61]Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Approximate Graph Propagation. CoRR abs/2106.03058 (2021) - [i60]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen:
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. CoRR abs/2106.03345 (2021) - [i59]Hui Wang, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation. CoRR abs/2106.06722 (2021) - [i58]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) - [i57]Bing Su, Ji-Rong Wen:
Log-Polar Space Convolution for Convolutional Neural Networks. CoRR abs/2107.11943 (2021) - [i56]Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu:
Self-supervised Audiovisual Representation Learning for Remote Sensing Data. CoRR abs/2108.00688 (2021) - [i55]Lin Bo, Liang Pang, Gang Wang, Jun Xu, XiuQiang He, Ji-Rong Wen:
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm. CoRR abs/2108.05652 (2021) - [i54]Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. CoRR abs/2108.06027 (2021) - [i53]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Complex Knowledge Base Question Answering: A Survey. CoRR abs/2108.06688 (2021) - [i52]Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen:
Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot. CoRR abs/2108.07935 (2021) - [i51]Zhengyi Ma, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen:
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. CoRR abs/2108.09346 (2021) - [i50]Zhengyi Ma, Zhicheng Dou, Yutao Zhu, Hanxun Zhong, Ji-Rong Wen:
One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles. CoRR abs/2108.09355 (2021) - [i49]Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen:
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. CoRR abs/2109.05793 (2021) - [i48]Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen:
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence. CoRR abs/2109.15012 (2021) - [i47]Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. CoRR abs/2110.07367 (2021) - [i46]Nanyi Fei, Zhiwu Lu, Yizhao Gao, Guoxing Yang, Yuqi Huo, Jingyuan Wen, Haoyu Lu, Ruihua Song, Xin Gao
, Tao Xiang, Hao Sun, Ji-Rong Wen:
WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model. CoRR abs/2110.14378 (2021) - [i45]Yujia Zhou, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling. CoRR abs/2111.12614 (2021) - [i44]Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen:
Group based Personalized Search by Integrating Search Behaviour and Friend Network. CoRR abs/2111.12618 (2021) - [i43]Di Hu, Yake Wei, Rui Qian, Weiyao Lin, Ruihua Song, Ji-Rong Wen:
Class-aware Sounding Objects Localization via Audiovisual Correspondence. CoRR abs/2112.11749 (2021) - 2020
- [j67]Aoxue Li, Zhiwu Lu
, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen:
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. Int. J. Comput. Vis. 128(12): 2810-2827 (2020) - [j66]Yutao Zhu, Zhicheng Dou
, Jian-Yun Nie
, Ji-Rong Wen:
ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation. Inf. Retr. J. 23(1): 27-48 (2020) - [j65]Zhicheng Dou
, Xue Yang, Diya Li, Ji-Rong Wen, Tetsuya Sakai:
Low-cost, bottom-up measures for evaluating search result diversification. Inf. Retr. J. 23(1): 86-113 (2020) - [j64]Juan Li, Zhicheng Dou
, Yutao Zhu
, Xiaochen Zuo, Ji-Rong Wen:
Deep cross-platform product matching in e-commerce. Inf. Retr. J. 23(2): 136-158 (2020) - [j63]Wayne Xin Zhao, Yupeng Hou
, Junhua Chen, Jonathan J. H. Zhu, Eddy Jing Yin, Hanting Su, Ji-Rong Wen:
Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale. ACM Trans. Inf. Syst. 38(2): 17:1-17:30 (2020) - [c161]Anwen Hu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Leveraging Multi-Token Entities in Document-Level Named Entity Recognition. AAAI 2020: 7961-7968 - [c160]Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou
, Yang Song, Tao Zhang, Ji-Rong Wen:
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CIKM 2020: 65-74 - [c159]Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He
, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. CIKM 2020: 735-744 - [c158]Zhengyi Ma, Zhicheng Dou
, Guanyue Bian, Ji-Rong Wen:
PSTIE: Time Information Enhanced Personalized Search. CIKM 2020: 1075-1084 - [c157]Xubo Qin
, Zhicheng Dou
, Ji-Rong Wen:
Diversifying Search Results using Self-Attention Network. CIKM 2020: 1265-1274 - [c156]Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu
, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. CIKM 2020: 1893-1902 - [c155]Wayne Xin Zhao, Junhua Chen, Pengfei Wang
, Qi Gu, Ji-Rong Wen:
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. CIKM 2020: 2329-2332 - [c154]Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
Leveraging Historical Interaction Data for Improving Conversational Recommender System. CIKM 2020: 2349-2352 - [c153]Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen:
Towards Topic-Guided Conversational Recommender System. COLING 2020: 4128-4139 - [c152]Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Mingyu Ding, Zhiwu Lu
, Tao Xiang, Ji-Rong Wen:
Lightweight Action Recognition in Compressed Videos. ECCV Workshops (2) 2020: 337-352 - [c151]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue:
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. EMNLP (Findings) 2020: 137-147 - [c150]Weijie Yu, Chen Xu, Jun Xu, Liang Pang
, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen:
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. EMNLP (1) 2020: 2985-2994 - [c149]Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu:
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. KDD 2020: 1006-1014 - [c148]Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Scalable Graph Neural Networks via Bidirectional Propagation. NeurIPS 2020 - [c147]Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu:
Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting. PAKDD (2) 2020: 475-486 - [c146]Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen:
Counterfactual learning for recommender system. RecSys 2020: 568-569 - [c145]Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen:
Sequential Recommendation with Self-Attentive Multi-Adversarial Network. SIGIR 2020: 89-98 - [c144]Jiongnan Liu
, Zhicheng Dou
, Xiaojie Wang, Shuqi Lu, Ji-Rong Wen:
DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. SIGIR 2020: 479-488 - [c143]Liang Pang, Jun Xu
, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. SIGIR 2020: 499-508 - [c142]Jun Xu
, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen:
Reinforcement Learning to Rank with Pairwise Policy Gradient. SIGIR 2020: 509-518 - [c141]Shuqi Lu, Zhicheng Dou
, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen:
Knowledge Enhanced Personalized Search. SIGIR 2020: 709-718 - [c140]Yujia Zhou, Zhicheng Dou
, Ji-Rong Wen:
Encoding History with Context-aware Representation Learning for Personalized Search. SIGIR 2020: 1111-1120 - [c139]Jing Yao, Zhicheng Dou
, Ji-Rong Wen:
Employing Personal Word Embeddings for Personalized Search. SIGIR 2020: 1359-1368 - [c138]Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Exact Single-Source SimRank Computation on Large Graphs. SIGMOD Conference 2020: 653-663 - [c137]Yujia Zhou, Zhicheng Dou
, Ji-Rong Wen:
Enhancing Re-finding Behavior with External Memories for Personalized Search. WSDM 2020: 789-797 - [c136]Gaole He
, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen:
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. WWW 2020: 740-751 - [c135]Jing Yao, Zhicheng Dou
, Jun Xu
, Ji-Rong Wen:
RLPer: A Reinforcement Learning Model for Personalized Search. WWW 2020: 2298-2308 - [e4]Jimmy X. Huang
, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu:
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020. ACM 2020, ISBN 978-1-4503-8016-4 [contents] - [i42]Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu:
Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting. CoRR abs/2002.07397 (2020) - [i41]Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning. CoRR abs/2002.12641 (2020) - [i40]An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo:
Domain-Adaptive Few-Shot Learning. CoRR abs/2003.08626 (2020) - [i39]Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen:
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. CoRR abs/2003.12718 (2020) - [i38]Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Exact Single-Source SimRank Computation on Large Graphs. CoRR abs/2004.03493 (2020) - [i37]Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen:
Sequential Recommendation with Self-Attentive Multi-Adversarial Network. CoRR abs/2005.10602 (2020) - [i36]Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen:
Counterfactual VQA: A Cause-Effect Look at Language Bias. CoRR abs/2006.04315 (2020) - [i35]Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu:
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. CoRR abs/2007.04032 (2020) - [i34]Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan, Ji-Rong Wen:
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient. CoRR abs/2007.12817 (2020) - [i33]Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. CoRR abs/2008.07873 (2020) - [i32]Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
Leveraging Historical Interaction Data for Improving Conversational Recommender System. CoRR abs/2008.08247 (2020) - [i31]Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Hongjin Qian, Zhanliang Liu, Zhicheng Dou, Ji-Rong Wen:
Pchatbot: A Large-Scale Dataset for Personalized Chatbot. CoRR abs/2009.13284 (2020) - [i30]Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen:
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CoRR abs/2009.13299 (2020) - [i29]Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. CoRR abs/2010.01480 (2020) - [i28]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue:
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. CoRR abs/2010.03224 (2020) - [i27]Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen:
Towards Topic-Guided Conversational Recommender System. CoRR abs/2010.04125 (2020) - [i26]Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen:
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. CoRR abs/2010.04484 (2020) - [i25]Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen:
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. CoRR abs/2010.07717 (2020) - [i24]Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Scalable Graph Neural Networks via Bidirectional Propagation. CoRR abs/2010.15421 (2020) - [i23]Wayne Xin Zhao, Shanlei Mu, Yupeng Hou
, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen:
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CoRR abs/2011.01731 (2020)
2010 – 2019
- 2019
- [j62]Wayne Xin Zhao
, Gaole He
, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen:
KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems. Data Intell. 1(2): 121-136 (2019) - [j61]Yulei Niu, Zhiwu Lu
, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang:
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. IEEE Trans. Image Process. 28(4): 1720-1731 (2019) - [j60]Ting Bai, Wayne Xin Zhao, Yulan He, Jian-Yun Nie
, Ji-Rong Wen:
Correction to "Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites". IEEE Trans. Knowl. Data Eng. 31(4): 818 (2019) - [c134]Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song:
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding. ACL (1) 2019: 1969-1979 - [c133]Anwen Hu, Zhicheng Dou
, Ji-Rong Wen:
Document-Level Named Entity Recognition by Incorporating Global and Neighbor Features. CCIR 2019: 79-91 - [c132]Danyang Liu, Ting Bai, Jianxun Lian, Xin Zhao, Guangzhong Sun, Ji-Rong Wen, Xing Xie:
News Graph: An Enhanced Knowledge Graph for News Recommendation. KaRS@CIKM 2019: 1-7 - [c131]Yulei Niu, Hanwang Zhang
, Manli Zhang, Jianhong Zhang, Zhiwu Lu
, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. CVPR 2019: 6679-6688 - [c130]Mingyu Ding, An Zhao, Zhiwu Lu
, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. CVPR 2019: 7802-7811 - [c129]Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen:
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network. EMNLP/IJCNLP (1) 2019: 4809-4819 - [c128]Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen:
A Neural Citation Count Prediction Model based on Peer Review Text. EMNLP/IJCNLP (1) 2019: 4913-4923 - [c127]Yanlei Yu, Zhiwu Lu
, Jiajun Liu, Guoping Zhao, Ji-Rong Wen:
RUM: Network Representation Learning Using Motifs. ICDE 2019: 1382-1393 - [c126]Yuqi Huo, Jiechao Guan, Jianhong Zhang, Manli Zhang, Ji-Rong Wen, Zhiwu Lu
:
Zero-Shot Learning with Few Seen Class Samples. ICME 2019: 1336-1341 - [c125]Wayne Xin Zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Wen:
Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases. PAKDD (2) 2019: 16-28 - [c124]Shuqi Lu, Zhicheng Dou
, Jun Xu
, Jian-Yun Nie
, Ji-Rong Wen:
PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. SIGIR 2019: 555-564 - [c123]Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie
, Ji-Rong Wen:
CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. SIGIR 2019: 675-684 - [c122]Yuqi Huo, Yao Lu, Yulei Niu, Zhiwu Lu
, Ji-Rong Wen:
Coarse-to-Fine Grained Classification. SIGIR 2019: 1033-1036 - [c121]Yadi Lao, Jun Xu
, Sheng Gao, Jun Guo, Ji-Rong Wen:
Name Entity Recognition with Policy-Value Networks. SIGIR 2019: 1245-1248 - [c120]Zhewei Wei, Xiaodong He, Xiaokui Xiao
, Sibo Wang
, Yu Liu, Xiaoyong Du, Ji-Rong Wen:
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. SIGMOD Conference 2019: 1042-1059 - [c119]Xiaochen Zuo, Xue Yang, Zhicheng Dou, Ji-Rong Wen:
RUCIR at TREC 2019: Conversational Assistance Track. TREC 2019 - [c118]Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He
, Ji-Rong Wen, Daxiang Dong:
Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. WSDM 2019: 573-581 - [i22]Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie:
A Long-Short Demands-Aware Model for Next-Item Recommendation. CoRR abs/1903.00066 (2019) - [i21]Jingxuan Yang, Jun Xu, Jianzhuo Tong, Sheng Gao, Jun Guo, Jirong Wen:
Pre-training of Context-aware Item Representation for Next Basket Recommendation. CoRR abs/1904.12604 (2019) - [i20]Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen:
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. CoRR abs/1905.02354 (2019) - [i19]Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song:
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding. CoRR abs/1906.05667 (2019) - [i18]Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ji-Rong Wen:
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN. CoRR abs/1907.05793 (2019) - [i17]Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen:
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. CoRR abs/1908.07600 (2019) - [i16]Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen:
Mobile Video Action Recognition. CoRR abs/1908.10155 (2019) - [i15]Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. CoRR abs/1912.05891 (2019) - 2018
- [j59]Wayne Xin Zhao, Ningnan Zhou, Aixin Sun
, Ji-Rong Wen, Jialong Han, Edward Y. Chang:
A time-aware trajectory embedding model for next-location recommendation. Knowl. Inf. Syst. 56(3): 559-579 (2018) - [j58]Aoxue Li
, Zhiwu Lu
, Liwei Wang, Peng Han, Ji-Rong Wen:
Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation. IEEE Trans. Cybern. 48(1): 253-263 (2018) - [j57]Wayne Xin Zhao, Feifan Fan, Ji-Rong Wen, Edward Y. Chang:
Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts. ACM Trans. Knowl. Discov. Data 12(2): 22:1-22:21 (2018) - [j56]Xiaojie Wang
, Ji-Rong Wen, Zhicheng Dou
, Tetsuya Sakai, Rui Zhang:
Search Result Diversity Evaluation Based on Intent Hierarchies. IEEE Trans. Knowl. Data Eng. 30(1): 156-169 (2018) - [j55]Zhengbao Jiang
, Zhicheng Dou
, Wayne Xin Zhao
, Jian-Yun Nie
, Ming Yue, Ji-Rong Wen:
Supervised Search Result Diversification via Subtopic Attention. IEEE Trans. Knowl. Data Eng. 30(10): 1971-1984 (2018) - [j54]Ting Bai
, Wayne Xin Zhao
, Yulan He
, Jian-Yun Nie
, Ji-Rong Wen:
Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites. IEEE Trans. Knowl. Data Eng. 30(12): 2271-2284 (2018) - [j53]Wayne Xin Zhao, Wenhui Zhang, Yulan He
, Xing Xie
, Ji-Rong Wen:
Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems. ACM Trans. Inf. Syst. 36(3): 27:1-27:33 (2018) - [j52]Jun Chen, Yueguo Chen, Xiangling Zhang, Xiaoyong Du, Ke Wang, Ji-Rong Wen:
Entity set expansion with semantic features of knowledge graphs. J. Web Semant. 52-53: 33-44 (2018) - [c117]Qi Gu, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen:
A Neural Labeled Network Embedding Approach to Product Adopter Prediction. AIRS 2018: 77-89 - [c116]Songwei Ge, Zhicheng Dou
, Zhengbao Jiang, Jian-Yun Nie
, Ji-Rong Wen:
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. CIKM 2018: 347-356 - [c115]Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen:
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems. CIKM Workshops 2018 - [c114]Shuo Shang, Lisi Chen, Christian S. Jensen
, Ji-Rong Wen, Panos Kalnis
:
Searching Trajectories by Regions of Interest. ICDE 2018: 1741-1742 - [c113]Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen, Zhiwu Lu
:
Zero-Shot Learning with Superclasses. ICONIP (3) 2018: 460-472 - [c112]Guoping Zhao, Jiajun Liu, Jiacheng Jiang, Hua Guan, Ji-Rong Wen:
Skip-Connected Deep Convolutional Autoencoder for Restoration of Document Images. ICPR 2018: 2935-2940 - [c111]Guoping Zhao, Jiacheng Jiang, Jiajun Liu, Yanlei Yu, Ji-Rong Wen:
Improving Person Re-identification by Body Parts Segmentation Generated by GAN. IJCNN 2018: 1-8 - [c110]An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Domain-Invariant Projection Learning for Zero-Shot Recognition. NeurIPS 2018: 1027-1038 - [c109]Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen, Edward Y. Chang:
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. SIGIR 2018: 505-514 - [c108]Ting Bai, Jian-Yun Nie
, Wayne Xin Zhao, Yutao Zhu
, Pan Du, Ji-Rong Wen:
An Attribute-aware Neural Attentive Model for Next Basket Recommendation. SIGIR 2018: 1201-1204 - [c107]Zhewei Wei, Xiaodong He, Xiaokui Xiao
, Sibo Wang
, Shuo Shang, Ji-Rong Wen:
TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. SIGMOD Conference 2018: 441-456 - [r4]Ji-Rong Wen, Zhicheng Dou, Ruihua Song:
Personalized Web Search. Encyclopedia of Database Systems (2nd ed.) 2018 - [i14]Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen:
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems. CoRR abs/1807.11141 (2018) - [i13]An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Domain-Invariant Projection Learning for Zero-Shot Recognition. CoRR abs/1810.08326 (2018) - [i12]Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen:
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. CoRR abs/1810.08329 (2018) - [i11]Zhiwu Lu, Jiechao Guan, Aoxue Li, Tao Xiang, An Zhao, Ji-Rong Wen:
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning. CoRR abs/1810.08332 (2018) - [i10]Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. CoRR abs/1812.02664 (2018) - [i9]Nanyi Fei, Jiajun Liu, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Zero-Shot Learning with Sparse Attribute Propagation. CoRR abs/1812.04427 (2018) - [i8]Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. CoRR abs/1812.04429 (2018) - 2017
- [j51]Wayne Xin Zhao, Chen Liu, Ji-Rong Wen, Xiaoming Li:
Ranking and tagging bursty features in text streams with context language models. Frontiers Comput. Sci. 11(5): 852-862 (2017) - [j50]Ting Bai, Hong-Jian Dou, Wayne Xin Zhao, Ding-Yi Yang, Ji-Rong Wen:
An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data. J. Comput. Sci. Technol. 32(4): 828-842 (2017) - [j49]Feifan Fan, Wayne Xin Zhao, Ji-Rong Wen, Ge Xu, Edward Y. Chang:
Mining collective knowledge: inferring functional labels from online review for business. Knowl. Inf. Syst. 53(3): 723-747 (2017) - [j48]Aoxue Li
, Zhiwu Lu
, Liwei Wang, Tao Xiang, Ji-Rong Wen:
Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 55(7): 4157-4167 (2017) - [j47]Zhengbao Jiang, Zhicheng Dou
, Ji-Rong Wen:
Generating Query Facets Using Knowledge Bases. IEEE Trans. Knowl. Data Eng. 29(2): 315-329 (2017) - [j46]Shuo Shang, Lisi Chen, Christian S. Jensen
, Ji-Rong Wen, Panos Kalnis
:
Searching Trajectories by Regions of Interest. IEEE Trans. Knowl. Data Eng. 29(7): 1549-1562 (2017) - [c106]Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen:
FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. AAAI 2017: 1474-1480 - [c105]Shuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen:
Efficiently Answering Technical Questions - A Knowledge Graph Approach. AAAI 2017: 3111-3118 - [c104]Ting Bai, Ji-Rong Wen, Jun Zhang, Wayne Xin Zhao:
A Neural Collaborative Filtering Model with Interaction-based Neighborhood. CIKM 2017: 1979-1982 - [c103]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen
, Ji-Rong Wen, Panos Kalnis
:
Collective Travel Planning in Spatial Networks. ICDE 2017: 59-60 - [c102]Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu
, Ji-Rong Wen:
Graph-boosted convolutional neural networks for semantic segmentation. IJCNN 2017: 612-618 - [c101]Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou
, Wayne Xin Zhao, Jian-Yun Nie
, Ming Yue:
Learning to Diversify Search Results via Subtopic Attention. SIGIR 2017: 545-554 - [c100]Xiangling Zhang, Yueguo Chen, Jun Chen, Xiaoyong Du, Ke Wang, Ji-Rong Wen:
Entity Set Expansion via Knowledge Graphs. SIGIR 2017: 1101-1104 - [e3]Ji-Rong Wen, Jian-Yun Nie, Tong Ruan, Yiqun Liu, Tieyun Qian:
Information Retrieval - 23rd China conference, CCIR 2017, Shanghai, China, July 13-14, 2017, Proceedings. Lecture Notes in Computer Science 10390, Springer 2017, ISBN 978-3-319-68698-1 [contents] - [i7]Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Xinqi Li, Ji-Rong Wen:
Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics. CoRR abs/1707.00785 (2017) - [i6]Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang:
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. CoRR abs/1709.01220 (2017) - [i5]Yanlei Yu, Zhiwu Lu, Jiajun Liu, Guoping Zhao, Ji-Rong Wen, Kai Zheng:
RUM: network Representation learning throUgh Multi-level structural information preservation. CoRR abs/1710.02836 (2017) - 2016
- [j45]Wayne Xin Zhao, Ji-Rong Wen, Xiaoming Li:
Generating timeline summaries with social media attention. Frontiers Comput. Sci. 10(4): 702-716 (2016) - [j44]Shuo Shang, Danhuai Guo, Jiajun Liu, Kai Zheng, Ji-Rong Wen:
Finding regions of interest using location based social media. Neurocomputing 173: 118-123 (2016) - [j43]Zhiwu Lu
, Liwei Wang, Ji-Rong Wen:
Image classification by visual bag-of-words refinement and reduction. Neurocomputing 173: 373-384 (2016) - [j42]Jiajun Liu, Shuo Shang, Kai Zheng, Ji-Rong Wen:
Multi-view ensemble learning for dementia diagnosis from neuroimaging: An artificial neural network approach. Neurocomputing 195: 112-116 (2016) - [j41]Shuo Shang, Danhuai Guo, Jiajun Liu, Ji-Rong Wen:
Prediction-based Unobstructed Route Planning. Neurocomputing 213: 147-154 (2016) - [j40]Ruihua Song
, Dingquan Wang, Jian-Yun Nie
, Ji-Rong Wen, Yong Yu:
Enhancing web search with queries of equivalent intents. Inf. Retr. J. 19(6): 573-593 (2016) - [j39]Shuo Shang, Lisi Chen, Zhewei Wei, Danhuai Guo, Ji-Rong Wen:
Dynamic Shortest Path Monitoring in Spatial Networks. J. Comput. Sci. Technol. 31(4): 637-648 (2016) - [j38]Wayne Xin Zhao, Sui Li, Yulan He
, Liwei Wang, Ji-Rong Wen, Xiaoming Li:
Exploring demographic information in social media for product recommendation. Knowl. Inf. Syst. 49(1): 61-89 (2016) - [j37]Wayne Xin Zhao, Jinpeng Wang, Yulan He
, Ji-Rong Wen, Edward Y. Chang, Xiaoming Li:
Mining Product Adopter Information from Online Reviews for Improving Product Recommendation. ACM Trans. Knowl. Discov. Data 10(3): 29:1-29:23 (2016) - [j36]Zhongyuan Wang, Fang Wang, Haixun Wang, Zhirui Hu, Jun Yan, Fangtao Li, Ji-Rong Wen, Zhoujun Li
:
Unsupervised Head-Modifier Detection in Search Queries. ACM Trans. Knowl. Discov. Data 11(2): 19:1-19:28 (2016) - [j35]Zhicheng Dou
, Zhengbao Jiang, Sha Hu, Ji-Rong Wen, Ruihua Song:
Automatically Mining Facets for Queries from Their Search Results. IEEE Trans. Knowl. Data Eng. 28(2): 385-397 (2016) - [j34]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen
, Ji-Rong Wen, Panos Kalnis
:
Collective Travel Planning in Spatial Networks. IEEE Trans. Knowl. Data Eng. 28(5): 1132-1146 (2016) - [j33]Wayne Xin Zhao, Sui Li, Yulan He
, Edward Y. Chang, Ji-Rong Wen, Xiaoming Li:
Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information. IEEE Trans. Knowl. Data Eng. 28(5): 1147-1159 (2016) - [j32]Ningnan Zhou, Wayne Xin Zhao, Xiao Zhang, Ji-Rong Wen, Shan Wang:
A General Multi-Context Embedding Model for Mining Human Trajectory Data. IEEE Trans. Knowl. Data Eng. 28(8): 1945-1958 (2016) - [j31]Jian Pei, Leman Akoglu, Hongrae Lee, Justin J. Levandoski, Xuelong Li, Rosa Meo, Carlos Ordonez, Jeff M. Phillips, Barbara Poblete, K. Selçuk Candan, Meng Wang, Ji-Rong Wen, Li Xiong, Wenjie Zhang:
EIC Editorial. IEEE Trans. Knowl. Data Eng. 28(10): 2535-2537 (2016) - [j30]Wayne Xin Zhao, Ningnan Zhou, Wenhui Zhang, Ji-Rong Wen, Shan Wang, Edward Y. Chang:
A Probabilistic Lifestyle-Based Trajectory Model for Social Strength Inference from Human Trajectory Data. ACM Trans. Inf. Syst. 35(1): 8:1-8:28 (2016) - [j29]Wayne Xin Zhao, Jing Liu, Yulan He
, Chin-Yew Lin, Ji-Rong Wen:
A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs. World Wide Web 19(5): 865-886 (2016) - [j28]Sha Hu
, Ji-Rong Wen, Zhicheng Dou
, Shuo Shang:
Following the dynamic block on the Web. World Wide Web 19(6): 1077-1101 (2016) - [c99]Wayne Xin Zhao, Jin Huang, Ji-Rong Wen:
Learning Distributed Representations for Recommender Systems with a Network Embedding Approach. AIRS 2016: 224-236 - [c98]Shuo Shang, Zhewei Wei, Ji-Rong Wen, Shunzhi Zhu:
Probabilistic Nearest Neighbor Query in Traffic-Aware Spatial Networks. APWeb (1) 2016: 3-14 - [c97]Jiajun Liu, Kun Zhao, Brano Kusy
, Ji-Rong Wen, Kai Zheng, Raja Jurdak
:
Learning abstract snippet detectors with Temporal embedding in convolutional neural Networks. ICDE 2016: 895-905 - [c96]Jialong Han, Kai Zheng, Aixin Sun
, Shuo Shang, Ji-Rong Wen:
Discovering Neighborhood Pattern Queries by sample answers in knowledge base. ICDE 2016: 1014-1025 - [c95]Ming Yue, Zhicheng Dou, Sha Hu, Jinxiu Li, Xiaojie Wang, Ji-Rong Wen:
RUCIR at NTCIR-12 IMINE-2 Task. NTCIR 2016 - [c94]Xiaojie Wang, Zhicheng Dou
, Tetsuya Sakai, Ji-Rong Wen:
Evaluating Search Result Diversity using Intent Hierarchies. SIGIR 2016: 415-424 - [c93]Zhewei Wei, Xuancheng Liu, Feifei Li, Shuo Shang, Xiaoyong Du, Ji-Rong Wen:
Matrix Sketching Over Sliding Windows. SIGMOD Conference 2016: 1465-1480 - [e2]Shaoping Ma, Ji-Rong Wen, Yiqun Liu, Zhicheng Dou
, Min Zhang, Yi Chang, Wayne Xin Zhao:
Information Retrieval Technology - 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 - December 2, 2016, Proceedings. Lecture Notes in Computer Science 9994, Springer 2016, ISBN 978-3-319-48050-3 [contents] - 2015
- [j27]Shuo Shang, Jiajun Liu, Kai Zheng, Hua Lu
, Torben Bach Pedersen, Ji-Rong Wen:
Planning unobstructed paths in traffic-aware spatial networks. GeoInformatica 19(4): 723-746 (2015) - [j26]Shuo Shang, Jiajun Liu, Kun Zhao, Mingrui Yang, Kai Zheng, Ji-Rong Wen:
Dimension reduction with meta object-groups for efficient image retrieval. Neurocomputing 169: 50-54 (2015) - [j25]Shuo Shang, Kexin Xie, Kai Zheng, Jiajun Liu, Ji-Rong Wen:
VID Join: Mapping Trajectories to Points of Interest to Support Location-Based Services. J. Comput. Sci. Technol. 30(4): 725-744 (2015) - [j24]Sha Hu, Zhicheng Dou
, Xiaojie Wang, Ji-Rong Wen:
Search Result Diversification Based on Query Facets. J. Comput. Sci. Technol. 30(4): 888-901 (2015) - [j23]Zhiwu Lu
, Peng Han, Liwei Wang, Ji-Rong Wen:
Semantic Sparse Recoding of Visual Content for Image Applications. IEEE Trans. Image Process. 24(1): 176-188 (2015) - [j22]Wayne Xin Zhao, Jinpeng Wang, Yulan He
, Jian-Yun Nie
, Ji-Rong Wen, Xiaoming Li:
Incorporating Social Role Theory into Topic Models for Social Media Content Analysis. IEEE Trans. Knowl. Data Eng. 27(4): 1032-1044 (2015) - [j21]Shuo Shang, Kai Zheng, Christian S. Jensen
, Bin Yang
, Panos Kalnis
, Guohe Li, Ji-Rong Wen:
Discovery of Path Nearby Clusters in Spatial Networks. IEEE Trans. Knowl. Data Eng. 27(6): 1505-1518 (2015) - [j20]Wayne Xin Zhao, Xudong Zhang, Daniel Lemire, Dongdong Shan, Jian-Yun Nie
, Hongfei Yan, Ji-Rong Wen:
A General SIMD-Based Approach to Accelerating Compression Algorithms. ACM Trans. Inf. Syst. 33(3): 15:1-15:28 (2015) - [c92]Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang:
Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding. AAAI 2015: 2828-2834 - [c91]Sha Hu, Zhicheng Dou
, Xiaojie Wang, Tetsuya Sakai, Ji-Rong Wen:
Search Result Diversification Based on Hierarchical Intents. CIKM 2015: 63-72 - [c90]Jianpeng Cheng, Zhongyuan Wang, Ji-Rong Wen, Jun Yan, Zheng Chen:
Contextual Text Understanding in Distributional Semantic Space. CIKM 2015: 133-142 - [c89]Zhongyuan Wang, Haixun Wang, Ji-Rong Wen, Yanghua Xiao:
An Inference Approach to Basic Level of Categorization. CIKM 2015: 653-662 - [c88]Zhongyuan Wang, Fang Wang, Ji-Rong Wen, Zhoujun Li:
Bring User Interest to Related Entity Recommendation. GKR 2015: 139-153 - [c87]Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen:
Social Image Parsing by Cross-Modal Data Refinement. IJCAI 2015: 2169-2175 - [c86]Zhongyuan Wang, Kejun Zhao, Haixun Wang, Xiaofeng Meng, Ji-Rong Wen:
Query Understanding through Knowledge-Based Conceptualization. IJCAI 2015: 3264-3270 - [c85]Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen:
Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing. IJCAI 2015: 3749-3755 - [c84]Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen:
Persistent Data Sketching. SIGMOD Conference 2015: 795-810 - [i4]Zhiwu Lu, Liwei Wang, Ji-Rong Wen:
Image classification by visual bag-of-words refinement and reduction. CoRR abs/1501.04292 (2015) - [i3]Wayne Xin Zhao, Xudong Zhang, Daniel Lemire, Dongdong Shan, Jian-Yun Nie, Hongfei Yan, Ji-Rong Wen:
A General SIMD-based Approach to Accelerating Compression Algorithms. CoRR abs/1502.01916 (2015) - [i2]Jiajun Liu, Kun Zhao, Brano Kusy, Ji-Rong Wen, Raja Jurdak:
Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets. CoRR abs/1502.05113 (2015) - 2014
- [c83]Yueguo Chen, Lexi Gao, Shuming Shi, Xiaoyong Du, Ji-Rong Wen:
Improving Context and Category Matching for Entity Search. AAAI 2014: 16-22 - [c82]Zhiwu Lu, Liwei Wang, Ji-Rong Wen:
Direct Semantic Analysis for Social Image Classification. AAAI 2014: 1258-1264 - [c81]Jingfei Li, Dawei Song, Peng Zhang, Ji-Rong Wen, Zhicheng Dou
:
Personalizing Web Search Results Based on Subspace Projection. AIRS 2014: 160-171 - [c80]Wayne Xin Zhao, Jing Liu, Yulan He
, Chin-Yew Lin, Ji-Rong Wen:
A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs. ASONAM 2014: 460-463 - [c79]Fang Wang, Zhongyuan Wang, Zhoujun Li
, Ji-Rong Wen:
Concept-based Short Text Classification and Ranking. CIKM 2014: 1069-1078 - [c78]Jialong Han, Ji-Rong Wen, Jian Pei
:
Within-Network Classification Using Radius-Constrained Neighborhood Patterns. CIKM 2014: 1539-1548 - 2013
- [j19]Jongwuk Lee, Hyunsouk Cho, Jin-Woo Park, Young-rok Cha, Seung-won Hwang, Zaiqing Nie, Ji-Rong Wen:
Hybrid entity clustering using crowds and data. VLDB J. 22(5): 711-726 (2013) - [j18]Gae-won You, Jin-Woo Park, Seung-won Hwang, Zaiqing Nie, Ji-Rong Wen:
SocialSearch + : enriching social network with web evidences. World Wide Web 16(5-6): 701-727 (2013) - [c77]Dazhao Pan, Peng Zhang, Jingfei Li, Dawei Song
, Ji-Rong Wen, Yuexian Hou, Bin Hu, Yuan Jia, Anne N. De Roeck:
Using Dempster-Shafer's Evidence Theory for Query Expansion Based on Freebase Knowledge. AIRS 2013: 121-132 - [c76]Jialong Han, Ji-Rong Wen:
Mining frequent neighborhood patterns in a large labeled graph. CIKM 2013: 259-268 - [c75]Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen:
Improving Web Search Ranking by Incorporating Structured Annotation of Queries. EMNLP 2013: 468-478 - [c74]Jie Wu, Yi Liu, Ji-Rong Wen:
Numeric query ranking approach. WWW (Companion Volume) 2013: 229-230 - [i1]Jialong Han, Ji-Rong Wen:
Mining Frequent Neighborhood Patterns in Large Labeled Graphs. CoRR abs/1305.3082 (2013) - 2012
- [j17]Zaiqing Nie, Ji-Rong Wen, Wei-Ying Ma:
Statistical Entity Extraction From the Web. Proc. IEEE 100(9): 2675-2687 (2012) - [c73]Takehiro Yamamoto, Tetsuya Sakai, Mayu Iwata, Chen Yu, Ji-Rong Wen, Katsumi Tanaka:
The wisdom of advertisers: mining subgoals via query clustering. CIKM 2012: 505-514 - [c72]Yang Liu, Ruihua Song, Yu Chen, Jian-Yun Nie
, Ji-Rong Wen:
Adaptive query suggestion for difficult queries. SIGIR 2012: 15-24 - [c71]Mayu Iwata, Tetsuya Sakai, Takehiro Yamamoto, Yu Chen, Yi Liu, Ji-Rong Wen, Shojiro Nishio:
AspecTiles: tile-based visualization of diversified web search results. SIGIR 2012: 85-94 - [c70]Wei Song, Qing Yu, Zhiheng Xu, Ting Liu, Sheng Li, Ji-Rong Wen:
Multi-aspect query summarization by composite query. SIGIR 2012: 325-334 - [c69]Zhongrui Ma, Yu Chen, Ruihua Song, Tetsuya Sakai, Jiaheng Lu
, Ji-Rong Wen:
New assessment criteria for query suggestion. SIGIR 2012: 1109-1110 - 2011
- [j16]Ruihua Song, Qingwei Guo, Ruochi Zhang, Guomao Xin, Ji-Rong Wen, Yong Yu, Hsiao-Wuen Hon:
Select-the-Best-Ones: A new way to judge relative relevance. Inf. Process. Manag. 47(1): 37-52 (2011) - [j15]Krisztian Balog, Arjen P. de Vries, Pavel Serdyukov, Ji-Rong Wen:
The first international workshop on entity-oriented search (EOS). SIGIR Forum 45(2): 43-50 (2011) - [j14]Wei-Ying Ma, Tie-Yan Liu, Ji-Rong Wen, Zheng Chen, Zaiqing Nie, Xing Xie, Hang Li, Haixun Wang, Yu Zheng:
A conversation with MSRA researchers. SIGKDD Explor. 13(2): 82-84 (2011) - [c68]Zhicheng Dou
, Sha Hu, Yulong Luo, Ruihua Song, Ji-Rong Wen:
Finding dimensions for queries. CIKM 2011: 1311-1320 - [c67]Gae-won You, Seung-won Hwang, Zaiqing Nie, Ji-Rong Wen:
SocialSearch: enhancing entity search with social network matching. EDBT 2011: 515-519 - [c66]Zhicheng Dou
, Sha Hu, Kun Chen, Ruihua Song, Ji-Rong Wen:
Multi-dimensional search result diversification. WSDM 2011: 475-484 - 2010
- [j13]Jihwan Song, Xing Xie, Yoon-Joon Lee, Ji-Rong Wen:
Estimating Mobile-Friendliness Scores of Web Pages. IEICE Trans. Inf. Syst. 93-D(11): 3124-3127 (2010) - [j12]Chunyu Yang, Yong Cao, Zaiqing Nie, Jie Zhou, Ji-Rong Wen:
Closing the Loop in Webpage Understanding. IEEE Trans. Knowl. Data Eng. 22(5): 639-650 (2010) - [c65]Hao Yan, Shuming Shi, Fan Zhang, Torsten Suel, Ji-Rong Wen:
Efficient term proximity search with term-pair indexes. CIKM 2010: 1229-1238 - [c64]Shuming Shi, Huibin Zhang, Xiaojie Yuan, Ji-Rong Wen:
Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches. COLING 2010: 993-1001 - [c63]Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong Wen:
Navigation system for product search. ICDE 2010: 1113-1116 - [c62]Xiaojiang Liu, Zaiqing Nie, Nenghai Yu, Ji-Rong Wen:
BioSnowball: automated population of Wikis. KDD 2010: 969-978 - [c61]Fan Zhang, Shuming Shi, Hao Yan, Ji-Rong Wen:
Revisiting globally sorted indexes for efficient document retrieval. WSDM 2010: 371-380
2000 – 2009
- 2009
- [j11]Mingjie Zhu, Shuming Shi, Mingjing Li, Ji-Rong Wen:
Effective top-k computation with term-proximity support. Inf. Process. Manag. 45(4): 401-412 (2009) - [j10]Zhicheng Dou
, Ruihua Song, Ji-Rong Wen, Xiaojie Yuan:
Evaluating the Effectiveness of Personalized Web Search. IEEE Trans. Knowl. Data Eng. 21(8): 1178-1190 (2009) - [c60]Huibin Zhang, Mingjie Zhu, Shuming Shi, Ji-Rong Wen:
Employing Topic Models for Pattern-based Semantic Class Discovery. ACL/IJCNLP 2009: 459-467 - [c59]Shuyi Zheng, Ruihua Song, Ji-Rong Wen, C. Lee Giles
:
Efficient record-level wrapper induction. CIKM 2009: 47-56 - [c58]Shuming Shi, Bin Lu, Yunxiao Ma, Ji-Rong Wen:
Nonlinear static-rank computation. CIKM 2009: 807-816 - [c57]Yi Liu, Liangjie Zhang, Ruihua Song, Jian-Yun Nie
, Ji-Rong Wen:
Clustering queries for better document ranking. CIKM 2009: 1569-1572 - [c56]Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong Wen:
Query result clustering for object-level search. KDD 2009: 1205-1214 - [c55]Zhicheng Dou
, Ruihua Song, Jian-Yun Nie
, Ji-Rong Wen:
Using anchor texts with their hyperlink structure for web search. SIGIR 2009: 227-234 - [c54]Zhicheng Dou, Kun Chen, Ruihua Song, Yunxiao Ma, Shuming Shi, Ji-Rong Wen:
Microsoft Research Asia at the Web Track of TREC 2009. TREC 2009 - [c53]Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-Rong Wen:
StatSnowball: a statistical approach to extracting entity relationships. WWW 2009: 101-110 - [r3]Ji-Rong Wen:
Enhancing Web Search through Query Log Mining. Encyclopedia of Data Warehousing and Mining 2009: 758-763 - [r2]Ji-Rong Wen:
Enhancing Web Search through Web Structure Mining. Encyclopedia of Data Warehousing and Mining 2009: 764-769 - [r1]Ji-Rong Wen, Zhicheng Dou, Ruihua Song:
Personalized Web Search. Encyclopedia of Database Systems 2009: 2099-2103 - 2008
- [j9]Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen:
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction. J. Mach. Learn. Res. 9: 1583-1614 (2008) - [j8]Shaozhi Ye, Ji-Rong Wen, Wei-Ying Ma:
A systematic study on parameter correlations in large-scale duplicate document detection. Knowl. Inf. Syst. 14(2): 217-232 (2008) - [j7]Zaiqing Nie, Ji-Rong Wen, Wei-Ying Ma:
Webpage understanding: beyond page-level search. SIGMOD Rec. 37(4): 48-54 (2008) - [c52]Zhicheng Dou
, Ruihua Song, Xiaojie Yuan, Ji-Rong Wen:
Are click-through data adequate for learning web search rankings? CIKM 2008: 73-82 - [c51]Mingjie Zhu, Shuming Shi, Nenghai Yu, Ji-Rong Wen:
Can phrase indexing help to process non-phrase queries? CIKM 2008: 679-688 - [c50]Huajing Li, Zaiqing Nie, Wang-Chien Lee, C. Lee Giles
, Ji-Rong Wen:
Scalable community discovery on textual data with relations. CIKM 2008: 1203-1212 - [c49]Chunyu Yang, Yong Cao, Zaiqing Nie, Jie Zhou, Ji-Rong Wen:
Closing the loop in webpage understanding. CIKM 2008: 1397-1398 - [c48]Shuming Shi, Xiaokang Liu, Ji-Rong Wen:
Pattern-based semantic class discovery with multi-membership support. CIKM 2008: 1453-1454 - [c47]Ruihua Song, Michael J. Taylor, Ji-Rong Wen, Hsiao-Wuen Hon, Yong Yu:
Viewing Term Proximity from a Different Perspective. ECIR 2008: 346-357 - [c46]Shuyi Zheng, Matthew R. Scott, Ruihua Song, Ji-Rong Wen:
Pictor: an interactive system for importing data from a website. KDD 2008: 1097-1100 - 2007
- [j6]Xiaofei He, Deng Cai, Ji-Rong Wen, Wei-Ying Ma, Hong-Jiang Zhang:
Clustering and searching WWW images using link and page layout analysis. ACM Trans. Multim. Comput. Commun. Appl. 3(2): 10 (2007) - [c45]Shuyi Zheng, Ruihua Song, Ji-Rong Wen:
Template-Independent News Extraction Based on Visual Consistency. AAAI 2007: 1507-1511 - [c44]Zaiqing Nie, Ji-Rong Wen, Wei-Ying Ma:
Object-level Vertical Search. CIDR 2007: 235-246 - [c43]Mingjie Zhu, Shuming Shi, Mingjing Li, Ji-Rong Wen:
Effective top-k computation in retrieving structured documents with term-proximity support. CIKM 2007: 771-780 - [c42]Qing Yu, Shuming Shi, Zhiwei Li, Ji-Rong Wen, Wei-Ying Ma:
Improve Ranking by Using Image Information. ECIR 2007: 645-652 - [c41]Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen:
Dynamic hierarchical Markov random fields and their application to web data extraction. ICML 2007: 1175-1182 - [c40]Shuyi Zheng, Ruihua Song, Ji-Rong Wen, Di Wu:
Joint optimization of wrapper generation and template detection. KDD 2007: 894-902 - [c39]Jun Zhu, Bo Zhang, Zaiqing Nie, Ji-Rong Wen, Hsiao-Wuen Hon:
Webpage understanding: an integrated approach. KDD 2007: 903-912 - [c38]Ji-Rong Wen, Wei-Ying Ma:
Webstudio: building infrastructure for web data management. SIGMOD Conference 2007: 875-876 - [c37]Zaiqing Nie, Yunxiao Ma, Shuming Shi, Ji-Rong Wen, Wei-Ying Ma:
Web object retrieval. WWW 2007: 81-90 - [c36]Zhicheng Dou
, Ruihua Song, Ji-Rong Wen:
A large-scale evaluation and analysis of personalized search strategies. WWW 2007: 581-590 - [c35]Ruihua Song, Zhenxiao Luo, Ji-Rong Wen, Yong Yu, Hsiao-Wuen Hon:
Identifying ambiguous queries in web search. WWW 2007: 1169-1170 - 2006
- [c34]Shuming Shi, Fei Xing, Mingjie Zhu, Zaiqing Nie, Ji-Rong Wen:
Pseudo-anchor text extraction for searching vertical objects. CIKM 2006: 858-859 - [c33]Ruihua Song, Guomao Xin, Shuming Shi, Ji-Rong Wen, Wei-Ying Ma:
Exploring URL Hit Priors for Web Search. ECIR 2006: 277-288 - [c32]Chun Yuan, Ni Lao, Ji-Rong Wen, Jiwei Li, Zheng Zhang, Yi-Min Wang, Wei-Ying Ma:
Automated known problem diagnosis with event traces. EuroSys 2006: 375-388 - [c31]Ping Wu, Ji-Rong Wen, Huan Liu, Wei-Ying Ma:
Query Selection Techniques for Efficient Crawling of Structured Web Sources. ICDE 2006: 47 - [c30]Zaiqing Nie, Fei Wu, Ji-Rong Wen, Wei-Ying Ma:
Extracting Objects from the Web. ICDE 2006: 123 - [c29]Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma:
Simultaneous record detection and attribute labeling in web data extraction. KDD 2006: 494-503 - [c28]Shaozhi Ye, Ji-Rong Wen, Wei-Ying Ma:
A Systematic Study of Parameter Correlations in Large Scale Duplicate Document Detection. PAKDD 2006: 275-284 - [c27]Honghua (Kathy) Dai, Lingzhi Zhao, Zaiqing Nie, Ji-Rong Wen, Lee Wang, Ying Li:
Detecting online commercial intention (OCI). WWW 2006: 829-837 - 2005
- [c26]Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma:
2D Conditional Random Fields for Web information extraction. ICML 2005: 1044-1051 - [c25]Xing Xie, Gengxin Miao, Ruihua Song, Ji-Rong Wen, Wei-Ying Ma:
Efficient Browsing of Web Search Results on Mobile Devices Based on Block Importance Model. PerCom 2005: 17-26 - [c24]Shuming Shi, Ji-Rong Wen, Qing Yu, Ruihua Song, Wei-Ying Ma:
Gravitation-based model for information retrieval. SIGIR 2005: 488-495 - [c23]Zaiqing Nie, Yuanzhi Zhang, Ji-Rong Wen, Wei-Ying Ma:
Object-level ranking: bringing order to Web objects. WWW 2005: 567-574 - 2004
- [j5]Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma:
Learning important models for web page blocks based on layout and content analysis. SIGKDD Explor. 6(2): 14-23 (2004) - [c22]Shaozhi Ye, Ruihua Song, Ji-Rong Wen, Wei-Ying Ma:
A Query-Dependent Duplicate Detection Approach for Large Scale Search Engines. APWeb 2004: 48-58 - [c21]Archana Ganapathi, Yi-Min Wang, Ni Lao, Ji-Rong Wen:
Why PCs Are Fragile and What We Can Do About It: A Study of Windows Registry Problems. DSN 2004: 561-566 - [c20]Deng Cai, Xiaofei He, Wei-Ying Ma, Ji-Rong Wen, HongJiang Zhang:
Organizing WWW images based on the analysis of page layout and Web link structure. ICME 2004: 113-116 - [c19]Ni Lao, Ji-Rong Wen, Wei-Ying Ma, Yi-Min Wang:
Combining High Level Symptom Descriptions and Low Level State Information for Configuration Fault Diagnosis. LISA 2004: 151-158 - [c18]Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-Rong Wen:
Hierarchical clustering of WWW image search results using visual, textual and link information. ACM Multimedia 2004: 952-959 - [c17]Ji-Rong Wen, Ni Lao, Wei-Ying Ma:
Probabilistic model for contextual retrieval. SIGIR 2004: 57-63 - [c16]Deng Cai, Xiaofei He, Ji-Rong Wen, Wei-Ying Ma:
Block-level link analysis. SIGIR 2004: 440-447 - [c15]Deng Cai, Shipeng Yu, Ji-Rong Wen, Wei-Ying Ma:
Block-based web search. SIGIR 2004: 456-463 - [c14]Ruihua Song, Ji-Rong Wen, Shuming Shi, Guomao Xin, Tie-Yan Liu, Tao Qin, Xin Zheng, Jiyu Zhang, Gui-Rong Xue, Wei-Ying Ma:
Microsoft Research Asia at Web Track and Terabyte Track of TREC 2004. TREC 2004 - [c13]Jiying Wang, Ji-Rong Wen, Frederick H. Lochovsky, Wei-Ying Ma:
Instance-based Schema Matching for Web Databases by Domain-specific Query Probing. VLDB 2004: 408-419 - [c12]Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma:
Learning block importance models for web pages. WWW 2004: 203-211 - 2003
- [j4]Ji-Rong Wen, Qing Li
, Wei-Ying Ma, HongJiang Zhang:
A Multi-paradigm Querying Approach for a Generic Multimedia Database Management System. SIGMOD Rec. 32(1): 26-34 (2003) - [j3]Hang Cui, Ji-Rong Wen, Jian-Yun Nie
, Wei-Ying Ma:
Query Expansion by Mining User Logs. IEEE Trans. Knowl. Data Eng. 15(4): 829-839 (2003) - [c11]Deng Cai, Shipeng Yu, Ji-Rong Wen, Wei-Ying Ma:
Extracting Content Structure for Web Pages Based on Visual Representation. APWeb 2003: 406-417 - [c10]Shihui Zheng, Ji-Rong Wen, Hongjun Lu:
Cost-Driven Storage Schema Selection for XML. DASFAA 2003: 337-344 - [c9]Hang Cui, Ji-Rong Wen, Tat-Seng Chua:
Hierarchical Indexing and Flexible Element Retrieval for Structured Document. ECIR 2003: 73-87 - [c8]Cong Li
, Ji-Rong Wen, Hang Li:
Text Classification Using Stochastic Keyword Generation. ICML 2003: 464-471 - [c7]Ji-Rong Wen, Ruihua Song, Deng Cai, Kaihua Zhu, Shipeng Yu, Shaozhi Ye, Wei-Ying Ma:
Microsoft Research Asia at the Web Track of TREC 2003. TREC 2003: 408-417 - [c6]Shipeng Yu, Deng Cai, Ji-Rong Wen, Wei-Ying Ma:
Improving pseudo-relevance feedback in web information retrieval using web page segmentation. WWW 2003: 11-18 - [p1]Ji-Rong Wen, HongJiang Zhang:
Query Clustering in the Web Context. Clustering and Information Retrieval 2003: 195-226 - 2002
- [j2]Ji-Rong Wen, Jian-Yun Nie
, HongJiang Zhang:
Query clustering using user logs. ACM Trans. Inf. Syst. 20(1): 59-81 (2002) - [c5]Xiaoling Wang, Ji-Rong Wen, Yisheng Dong, Wenyin Liu:
Enhancive Index for Structured Document. RIDE 2002: 34- - [c4]Hang Cui, Ji-Rong Wen, Jian-Yun Nie
, Wei-Ying Ma:
Probabilistic query expansion using query logs. WWW 2002: 325-332 - [e1]Bo Huang, Tok Wang Ling, Mukesh K. Mohania, Wee Keong Ng, Ji-Rong Wen, Shyam K. Gupta:
3rd International Conference on Web Information Systems Engineering Workshops, WISE 2002 Workshops, Singapore, December 11, 2002, Proceedings. IEEE Computer Society 2002, ISBN 0-7695-1813-3 [contents] - 2001
- [c3]Ji-Rong Wen, HongJiang Zhang, Jian-Yun Nie
:
Query Clustering Using Content Words and User Feedback. SIGIR 2001: 442-443 - [c2]Ji-Rong Wen, Jian-Yun Nie
, HongJiang Zhang:
Clustering user queries of a search engine. WWW 2001: 162-168 - 2000
- [j1]Ji-Rong Wen, Chen Hong, Shan Wang:
POTENTIAL: A Highly Adaptive Core of Parallel Database System. J. Comput. Sci. Technol. 15(6): 527-541 (2000) - [c1]Qiang Yang, Hai-Feng Wang, Ji-Rong Wen, Gao Zhang, Ye Lu, Kai-Fu Lee, HongJiang Zhang:
Towards a Next-Generation Search Engine. PRICAI 2000: 5-15
Coauthor Index
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