The contextual focused topic model. - Xu Chen 017; Mingyuan Zhou; Lawrence Carin (KDD, 2012)

Acquiring Stored or Real Time Satellite Data via Natural Language Query. - Xu Chen 017; Jin Liu 016; Xinyan Zhu; Ming Li 040 (APWeb, 2014)

From LTL Formulae to Büchi Automata: A Direct Translation Using On-the-Fly De-Generalization. - Lai-Xiang Shan; Zheng Qin 003; Kaiping Xu; Xu Chen 017; Zhipeng Li (APSEC, 2015)

A Novel Source-Location Anonymity Protocol in Surveillance Systems. - Xiaoguang Niu; Yalan Yao; Chuanbo Wei; Yulu Liu; Jin Liu 016; Xu Chen 017 (IIKI, 2015)

Multi-lingual Geoparsing based on Machine Translation. - Xu Chen 017; Han Zhang; Judith Gelernter (CoRR, 2015)

Developer Recommendation with Awareness of Accuracy and Cost. - Jin Liu 016; Yiqiuzi Tian; Liang Hong; Xu Chen 017; Zhou Xu 003 (SEKE, 2016)

Learning to Rank Features for Recommendation over Multiple Categories. - Xu Chen 017; Zheng Qin 003; Yongfeng Zhang; Tao Xu (SIGIR, 2016)

HLBPR: A Hybrid Local Bayesian Personal Ranking Method. - Xu Chen 017; Pengfei Wang 009; Zheng Qin 003; Yongfeng Zhang (WWW (Companion Volume), 2016)

An energy-efficient source-anonymity protocol in surveillance systems. - Xiaoguang Niu; Yihao Zhang; Yalan Yao; Xu Chen 017; Josep Miquel Jornet; Jin Liu 016 (Pers. Ubiquitous Comput., 2016)

Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. - Yixin Cao 002; Lifu Huang; Heng Ji 001; Xu Chen 017; Juanzi Li (ACL (1), 2017)

Probabilistic Local Matrix Factorization Based on User Reviews. - Xu Chen 017; Yongfeng Zhang; Wayne Xin Zhao; Wenwen Ye; Zheng Qin 003 (AIRS, 2017)

A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images. - Wenwen Ye; Yongfeng Zhang; Wayne Xin Zhao; Xu Chen 017; Zheng Qin 003 (AIRS, 2017)

Fast Algorithms for Pareto Optimal Group-based Skyline. - Wenhui Yu; Zheng Qin 003; Jinfei Liu; Li Xiong 001; Xu Chen 017; Huidi Zhang (CIKM, 2017)

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources. - Yongfeng Zhang; Qingyao Ai; Xu Chen 017; W. Bruce Croft (CIKM, 2017)

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. - Jun Zhou 011; Xiaolong Li 005; Peilin Zhao; Chaochao Chen 001; Longfei Li; Xinxing Yang; Qing Cui; Jin Yu; Xu Chen 017; Yi Ding 006; Yuan (Alan) Qi (KDD, 2017)

Learning a Hierarchical Embedding Model for Personalized Product Search. - Qingyao Ai; Yongfeng Zhang; Keping Bi; Xu Chen 017; W. Bruce Croft (SIGIR, 2017)

Personalized Key Frame Recommendation. - Xu Chen 017; Yongfeng Zhang; Qingyao Ai; Hongteng Xu; Junchi Yan; Zheng Qin 003 (SIGIR, 2017)

Benefits from Superposed Hawkes Processes. - Hongteng Xu; Dixin Luo; Xu Chen 017; Lawrence Carin (AISTATS, 2018)

Towards Conversational Search and Recommendation: System Ask, User Respond. - Yongfeng Zhang; Xu Chen 017; Qingyao Ai; Liu Yang 005; W. Bruce Croft (CIKM, 2018)

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. - Yixin Cao 002; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Chengjiang Li; Xu Chen 017; Tiansi Dong (EMNLP, 2018)

Deep Collaborative Filtering Combined with High-Level Feature Generation on Latent Factor Model. - Xu Li; Xu Chen 017; Zheng Qin 003 (ICONIP (1), 2018)

Sequential Recommendation with User Memory Networks. - Xu Chen 017; Hongteng Xu; Yongfeng Zhang; Jiaxi Tang; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (WSDM, 2018)

IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. - Feida Zhu 001; Yongfeng Zhang; Neil Yorke-Smith; Guibing Guo; Xu Chen 017 (WSDM, 2018)

Aesthetic-based Clothing Recommendation. - Wenhui Yu; Huidi Zhang; Xiangnan He 001; Xu Chen 017; Li Xiong 001; Zheng Qin 003 (WWW, 2018)

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. - Qingyao Ai; Vahid Azizi 003; Xu Chen 017; Yongfeng Zhang (Algorithms, 2018)

Visually Explainable Recommendation. - Xu Chen 017; Yongfeng Zhang; Hongteng Xu; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (CoRR, 2018)

Learning over Knowledge-Base Embeddings for Recommendation. - Yongfeng Zhang; Qingyao Ai; Xu Chen 017; Pengfei Wang 009 (CoRR, 2018)

Dynamic Explainable Recommendation Based on Neural Attentive Models. - Xu Chen 017; Yongfeng Zhang; Zheng Qin 003 (AAAI, 2019)

Dynamic News Recommendation with Hierarchical Attention Network. - Hui Zhang; Xu Chen 017; Shuai Ma 001 (ICDM, 2019)

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. - Xu Chen 017; Hanxiong Chen; Hongteng Xu; Yongfeng Zhang; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (SIGIR, 2019)

Multi-lingual geoparsing based on machine translation. - Xu Chen 017; Judith Gelernter; Han Zhang; Jin Liu 016 (Future Gener. Comput. Syst., 2019)

Adversarial Distillation for Efficient Recommendation with External Knowledge. - Xu Chen 017; Yongfeng Zhang; Hongteng Xu; Zheng Qin 003; Hongyuan Zha (ACM Trans. Inf. Syst., 2019)

Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. - Shuqing Bian; Xu Chen 017; Wayne Xin Zhao; Kun Zhou 002; Yupeng Hou; Yang Song 021; Tao Zhang 070; Ji-Rong Wen (CIKM, 2020)

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. - Yikun Xian; Zuohui Fu; Handong Zhao; Yingqiang Ge; Xu Chen 017; Qiaoying Huang; Shijie Geng; Zhou Qin 001; Gerard de Melo; S. Muthukrishnan 001; Yongfeng Zhang (CIKM, 2020)

JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. - Xu Chen 017; Changying Du; Xiuqiang He 001; Jun Wang 012 (SIGIR, 2020)

Time Matters: Sequential Recommendation with Complex Temporal Information. - Wenwen Ye; Shuaiqiang Wang; Xu Chen 017; Xuepeng Wang; Zheng Qin 003; Dawei Yin (SIGIR, 2020)

EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search. - Yongfeng Zhang; Xu Chen 017; Yi Zhang 001; Min Zhang 006; Chirag Shah 001 (SIGIR, 2020)

Causal World Models by Unsupervised Deconfounding of Physical Dynamics. - Minne Li; Mengyue Yang; Furui Liu; Xu Chen 017; Zhitang Chen; Jun Wang 012 (CoRR, 2020)

Explainable Recommendation: A Survey and New Perspectives. - Yongfeng Zhang; Xu Chen 017 (Found. Trends Inf. Retr., 2020)

Efficient Contour Computation of Group-Based Skyline. - Wenhui Yu; Jinfei Liu; Jian Pei 001; Li Xiong 001; Xu Chen 017; Zheng Qin 003 (IEEE Trans. Knowl. Data Eng., 2020)

Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. - Xu Chen 017; Kun Xiong; Yongfeng Zhang; Long Xia; Dawei Yin; Jimmy Xiangji Huang (ACM Trans. Inf. Syst., 2020)

Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. - Yali Du 001; Bo Liu 039; Vincent Moens; Ziqi Liu; Zhicheng Ren; Jun Wang 012; Xu Chen 017; Haifeng Zhang 002 (AAMAS, 2021)

Counterfactual Explainable Recommendation. - Juntao Tan; Shuyuan Xu; Yingqiang Ge; Yunqi Li 003; Xu Chen 017; Yongfeng Zhang (CIKM, 2021)

Counterfactual Review-based Recommendation. - Kun Xiong; Wenwen Ye; Xu Chen 017; Yongfeng Zhang; Wayne Xin Zhao; Binbin Hu; Zhiqiang Zhang 012; Jun Zhou 011 (CIKM, 2021)

Top-N Recommendation with Counterfactual User Preference Simulation. - Mengyue Yang; Quanyu Dai; Zhenhua Dong; Xu Chen 017; Xiuqiang He 001; Jun Wang 012 (CIKM, 2021)

Causally Attentive Collaborative Filtering. - Jingsen Zhang; Xu Chen 017; Wayne Xin Zhao (CIKM, 2021)

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. - Wayne Xin Zhao; Shanlei Mu; Yupeng Hou; Zihan Lin; Yushuo Chen; Xingyu Pan; Kaiyuan Li; Yujie Lu; Hui Wang 072; Changxin Tian; Yingqian Min; Zhichao Feng; et al. (CIKM, 2021)

Estimating α-Rank from A Few Entries with Low Rank Matrix Completion. - Yali Du 001; Xue Yan; Xu Chen 017; Jun Wang 012; Haifeng Zhang 002 (ICML, 2021)

Counterfactual Data-Augmented Sequential Recommendation. - Zhenlei Wang; Jingsen Zhang; Hongteng Xu; Xu Chen 017; Yongfeng Zhang; Wayne Xin Zhao; Ji-Rong Wen (SIGIR, 2021)

CSR 2021: The 1st International Workshop on Causality in Search and Recommendation. - Yongfeng Zhang; Xu Chen 017; Yi Zhang 001; Xianjie Chen (SIGIR, 2021)

The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). - Yongfeng Zhang; Min Zhang 006; Hanxiong Chen; Xu Chen 017; Xianjie Chen; Chuang Gan 001; Tong Sun; Xin Luna Dong (WSDM, 2021)

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. - Shuqing Bian; Wayne Xin Zhao; Kun Zhou 002; Xu Chen 017; Jing Cai; Yancheng He; Xingji Luo; Ji-Rong Wen (WWW, 2021)

Reinforcement Recommendation with User Multi-aspect Preference. - Xu Chen 017; Yali Du 001; Long Xia; Jun Wang 012 (WWW, 2021)

Generate Natural Language Explanations for Recommendation. - Hanxiong Chen; Xu Chen 017; Shaoyun Shi; Yongfeng Zhang (CoRR, 2021)

Discrete Knowledge Graph Embedding based on Discrete Optimization. - Yunqi Li 003; Shuyuan Xu; Bo Liu 093; Zuohui Fu; Shuchang Liu 001; Xu Chen 017; Yongfeng Zhang (CoRR, 2021)

Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks. - Zirui Zhu 002; Chen Gao 001; Xu Chen 017; Nian Li; Depeng Jin; Yong Li 008 (CoRR, 2021)

Learning Reinforced Dynamic Representations for Sequential Recommendation. - Weiqi Shao; Xu Chen 017; Jiashu Zhao; Long Xia; Dawei Yin (CoRR, 2021)

Visually aware recommendation with aesthetic features. - Wenhui Yu; Xiangnan He 001; Jian Pei 001; Xu Chen 017; Li Xiong 001; Jinfei Liu; Zheng Qin 003 (VLDB J., 2021)

Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. - Xue Yan; Yali Du 001; Binxin Ru; Jun Wang 012; Haifeng Zhang 002; Xu Chen 017 (AAAI, 2022)

Dually Enhanced Propensity Score Estimation in Sequential Recommendation. - Chen Xu 010; Jun Xu 001; Xu Chen 017; Zhenhua Dong; Ji-Rong Wen (CIKM, 2022)

RecBole 2.0: Towards a More Up-to-Date Recommendation Library. - Wayne Xin Zhao; Yupeng Hou; Xingyu Pan; Chen Yang; Zeyu Zhang 007; Zihan Lin; Jingsen Zhang; Shuqing Bian; Jiakai Tang; Wenqi Sun; Yushuo Chen; Lanling Xu; et al. (CIKM, 2022)

A Game-Theoretic Approach to Multi-agent Trust Region Optimization. - Ying Wen 001; Hui Chen; Yaodong Yang 001; Minne Li; Zheng Tian 002; Xu Chen 017; Jun Wang 012 (DAI, 2022)

Multi-Modal Experience Inspired AI Creation. - Qian Cao 001; Xu Chen 017; Ruihua Song; Hao Jiang 022; Guang Yang; Zhao Cao (ACM Multimedia, 2022)

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. - Weijie Yu 003; Zhongxiang Sun; Jun Xu 001; Zhenhua Dong; Xu Chen 017; Hongteng Xu; Ji-Rong Wen (SIGIR, 2022)

Unbiased Sequential Recommendation with Latent Confounders. - Zhenlei Wang; Shiqi Shen; Zhipeng Wang; Bo Chen; Xu Chen 017; Ji-Rong Wen (WWW, 2022)

Generative Session-based Recommendation. - Zhidan Wang; Wenwen Ye; Xu Chen 017; Wenqiang Zhang; Zhenlei Wang; Lixin Zou; Weidong Liu 001 (WWW, 2022)

Inhomogeneous deep Q-network for time sensitive applications. - Xu Chen 017; Jun Wang 012 (Artif. Intell., 2022)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Xu Chen 017 (CoRR, 2022)

Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation. - Xu Chen 017; Yongfeng Zhang; Ji-Rong Wen (CoRR, 2022)

Generalizable Information Theoretic Causal Representation. - Mengyue Yang; Xinyu Cai; Furui Liu; Xu Chen 017; Zhitang Chen; Jianye Hao; Jun Wang 012 (CoRR, 2022)

Sequential Recommendation with User Evolving Preference Decomposition. - Weiqi Shao; Xu Chen 017; Long Xia; Jiashu Zhao; Dawei Yin (CoRR, 2022)

Sequential Recommendation with Causal Behavior Discovery. - Zhenlei Wang; Xu Chen 017; Zhenhua Dong; Quanyu Dai; Ji-Rong Wen (CoRR, 2022)

Recommendation with User Active Disclosing Willingness. - Lei Wang 198; Xu Chen 017; Quanyu Dai; Zhenhua Dong (CoRR, 2022)

Recent Advances in RecBole: Extensions with more Practical Considerations. - Lanling Xu; Zhen Tian 001; Gaowei Zhang; Lei Wang 198; Junjie Zhang 009; Bowen Zheng 005; Yifan Li 009; Yupeng Hou; Xingyu Pan; Yushuo Chen; Wayne Xin Zhao; Xu Chen 017; et al. (CoRR, 2022)

IPGAN: Generating Informative Item Pairs by Adversarial Sampling. - Guibing Guo; Huan Zhou; Bowei Chen 004; Zhirong Liu; Xiao Xu 005; Xu Chen 017; Zhenhua Dong; Xiuqiang He 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Debiased recommendation with neural stratification. - Quanyu Dai; Zhenhua Dong; Xu Chen 017 (AI Open, 2022)

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion. - Rui Li 086; Xu Chen 017; Chaozhuo Li; Yanming Shen; Jianan Zhao 002; Yujing Wang; Weihao Han; Hao Sun 015; Weiwei Deng; Qi Zhang 066; Xing Xie 001 (ACL (1), 2023)

Joint Semantic and Strategy Matching for Persuasive Dialogue. - Chuhao Jin; Yutao Zhu 001; Lingzhen Kong; Shijie Li; Xiao Zhang 034; Ruihua Song; Xu Chen 017; Huan Chen; Yuchong Sun; Yu Chen; Jun Xu 001 (EMNLP (Findings), 2023)

Sequential Recommendation with User Causal Behavior Discovery. - Zhenlei Wang; Xu Chen 017; Rui Zhou; Quanyu Dai; Zhenhua Dong; Ji-Rong Wen (ICDE, 2023)

Causal Collaborative Filtering. - Shuyuan Xu; Yingqiang Ge; Yunqi Li 003; Zuohui Fu; Xu Chen 017; Yongfeng Zhang (ICTIR, 2023)

Recommendation with Dynamic Natural Language Explanations. - Xi Li; Jingsen Zhang; Xiaohe Bo; Lei Wang 198; Xu Chen 017 (IJCNN, 2023)

A Multi-Agent Framework for Recommendation with Heterogeneous Sources. - Yabin Zhang 005; Weiqi Shao; Xu Chen 017; Yali Du 001; Xiaoxiao Xu; Dong Zheng; Changhua Pei; Shuai Zhang; Peng Jiang 002; Kun Gai (IJCNN, 2023)

Hierarchical Invariant Learning for Domain Generalization Recommendation. - Zeyu Zhang 007; Heyang Gao; Hao Yang 045; Xu Chen 017 (KDD, 2023)

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. - Xu Chen 017; Jingsen Zhang; Lei Wang 198; Quanyu Dai; Zhenhua Dong; Ruiming Tang; Rui Zhang 003; Li Chen; Xin Zhao 018; Ji-Rong Wen (NeurIPS, 2023)

Offline Imitation Learning with Variational Counterfactual Reasoning. - Zexu Sun; Bowei He; Jinxin Liu; Xu Chen 017; Chen Ma 001; Shuai Zhang (NeurIPS, 2023)

Bayesian Active Causal Discovery with Multi-Fidelity Experiments. - Zeyu Zhang 007; Chaozhuo Li; Xu Chen 017; Xing Xie 001 (NeurIPS, 2023)

Going Beyond Closed Sets: A Multimodal Perspective for Video Emotion Analysis. - Hao Pu; Yuchong Sun; Ruihua Song; Xu Chen 017; Hao Jiang 022; Yi Liu; Zhao Cao (PRCV (6), 2023)

When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation. - Jiakai Tang; Shiqi Shen; Zhipeng Wang; Zhi Gong; Jingsen Zhang; Xu Chen 017 (RecSys, 2023)

Towards Robust Fairness-aware Recommendation. - Hao Yang 045; Zhining Liu 001; Zeyu Zhang 007; Chenyi Zhuang; Xu Chen 017 (RecSys, 2023)

Reinforcement Re-ranking with 2D Grid-based Recommendation Panels. - Sirui Chen; Xiao Zhang 034; Xu Chen 017; Zhiyu Li; Yuan Wang 026; Quan Lin; Jun Xu 001 (SIGIR-AP, 2023)

Sequential Recommendation with User Evolving Preference Decomposition. - Weiqi Shao; Xu Chen 017; Jiashu Zhao; Long Xia; Jingsen Zhang; Dawei Yin (SIGIR-AP, 2023)

Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. - Lanling Xu; Zhen Tian 001; Gaowei Zhang; Junjie Zhang 009; Lei Wang 198; Bowen Zheng 005; Yifan Li 009; Jiakai Tang; Zeyu Zhang 007; Yupeng Hou; Xingyu Pan; Wayne Xin Zhao; et al. (SIGIR, 2023)

Robust Causal Inference for Recommender System to Overcome Noisy Confounders. - Zhiheng Zhang; Quanyu Dai; Xu Chen 017; Zhenhua Dong; Ruiming Tang (SIGIR, 2023)

Distributionally Robust Sequential Recommnedation. - Rui Zhou; Xian Wu 001; Zhaopeng Qiu; Yefeng Zheng 001; Xu Chen 017 (SIGIR, 2023)

Robust Recommendation with Adversarial Gaussian Data Augmentation. - Zhenlei Wang; Xu Chen 017 (WWW, 2023)

Recommendation with Causality enhanced Natural Language Explanations. - Jingsen Zhang; Xu Chen 017; Jiakai Tang; Weiqi Shao; Quanyu Dai; Zhenhua Dong; Rui Zhang 003 (WWW, 2023)

REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. - Xu Chen 017; Jingsen Zhang; Lei Wang 198; Quanyu Dai; Zhenhua Dong; Ruiming Tang; Rui Zhang 003; Li Chen; Ji-Rong Wen (CoRR, 2023)

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. - Xu Chen 017; Sirui Chen; Jun Xu 001; Weiran Shen; Xiao Zhang 034; Gang Wang 056; Zhenghua Dong (CoRR, 2023)

Dually Enhanced Propensity Score Estimation in Sequential Recommendation. - Chen Xu 010; Jun Xu 001; Xu Chen 017; Zhenghua Dong; Ji-Rong Wen (CoRR, 2023)

RecAgent: A Novel Simulation Paradigm for Recommender Systems. - Lei Wang 198; Jingsen Zhang; Xu Chen 017; Yankai Lin; Ruihua Song; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2023)

Don't Make Your LLM an Evaluation Benchmark Cheater. - Kun Zhou 002; Yutao Zhu 001; Zhipeng Chen 001; Wentong Chen; Wayne Xin Zhao; Xu Chen 017; Yankai Lin; Ji-Rong Wen; Jiawei Han (CoRR, 2023)

Data Augmented Sequential Recommendation Based on Counterfactual Thinking. - Xu Chen 017; Zhenlei Wang; Hongteng Xu; Jingsen Zhang; Yongfeng Zhang; Wayne Xin Zhao; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2023)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Jiarui Jin; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Weiqi Shao; Jun Wang 012; Xu Chen 017 (ACM Trans. Inf. Syst., 2023)

Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework. - Lei Wang 198; Xu Chen 017; Zhenhua Dong; Quanyu Dai (AAAI, 2024)

Fairness-aware Cross-Domain Recommendation. - Jiakai Tang; Xueyang Feng; Xu Chen 017 (DASFAA (3), 2024)

Robust Graph Recommendation via Noise-Aware Adversarial Perturbation. - Jiakai Tang; Zuxu Sun; Wei Yao; Xu Chen 017 (DASFAA (6), 2024)

Alleviating Dimensional Collapse Problem in Deep Recommender Models by Designing Uniformity Layers. - Yabin Zhang 005; Jiakai Tang; Xu Chen 017 (DASFAA (3), 2024)

RecGPT. - Yabin Zhang 005; Wenhui Yu; Erhan Zhang; Xu Chen 017; Lantao Hu; Peng Jiang 002; Kun Gai (DASFAA (5), 2024)

Towards Tool Use Alignment of Large Language Models. - Zhiyuan Chen; Shiqi Shen; Guangyao Shen; Gong Zhi; Xu Chen 017; Yankai Lin (EMNLP, 2024)

Large Language Model-based Human-Agent Collaboration for Complex Task Solving. - Xueyang Feng; Zhiyuan Chen; Yujia Qin; Yankai Lin; Xu Chen 017; Zhiyuan Liu 001; Ji-Rong Wen (EMNLP (Findings), 2024)

Active Explainable Recommendation with Limited Labeling Budgets. - Jingsen Zhang; Xiaohe Bo; Chenxi Wang; Quanyu Dai; Zhenhua Dong; Ruiming Tang; Xu Chen 017 (ICASSP, 2024)

Uncovering the Propensity Identification Problem in Debiased Recommendations. - Honglei Zhang; Shuyi Wang; Haoxuan Li 001; Chunyuan Zheng 001; Xu Chen 017; Li Liu 001; Shanshan Luo; Peng Wu 012 (ICDE, 2024)

Debiased Collaborative Filtering with Kernel-Based Causal Balancing. - Haoxuan Li 001; Chunyuan Zheng 001; Yanghao Xiao; Peng Wu 012; Zhi Geng; Xu Chen 017; Peng Cui 001 (ICLR, 2024)

Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization. - Rui Li 086; Chaozhuo Li; Yanming Shen; Zeyu Zhang 007; Xu Chen 017 (ICML, 2024)

Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering. - Haoxuan Li 001; Chunyuan Zheng 001; Shuyi Wang; Kunhan Wu; Eric Hao Wang; Peng Wu 012; Zhi Geng; Xu Chen 017; Xiao-Hua Zhou (ICML, 2024)

Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning. - Heyang Gao; Zexu Sun; Hao Yang 045; Xu Chen 017 (KDD, 2024)

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. - Jiakai Tang; Sunhao Dai; Zexu Sun; Xu Chen 017; Jun Xu 001; Wenhui Yu; Lantao Hu; Peng Jiang 002; Han Li 005 (KDD, 2024)

Natural Language Explainable Recommendation with Robustness Enhancement. - Jingsen Zhang; Jiakai Tang; Xu Chen 017; Wenhui Yu; Lantao Hu; Peng Jiang 002; Han Li 005 (KDD, 2024)

See or Guess: Counterfactually Regularized Image Captioning. - Qian Cao 001; Xu Chen 017; Ruihua Song; Xiting Wang; Xinting Huang; Yuchen Ren 005 (ACM Multimedia, 2024)

ViCo: Engaging Video Comment Generation with Human Preference Rewards. - Yuchong Sun; Bei Liu 001; Xu Chen 017; Ruihua Song; Jianlong Fu (MMAsia, 2024)

Reflective Multi-Agent Collaboration based on Large Language Models. - Xiaohe Bo; Zeyu Zhang 007; Quanyu Dai; Xueyang Feng; Lei Wang 198; Rui Li 086; Xu Chen 017; Ji-Rong Wen (NeurIPS, 2024)

A Tutorial on Feature Interpretation in Recommender Systems. - Zhaocheng Du; Chuhan Wu; Qinglin Jia; Jieming Zhu; Xu Chen 017 (RecSys, 2024)

Large Language Model Powered Agents for Information Retrieval. - An Zhang 003; Yang Deng 002; Yankai Lin; Xu Chen 017; Ji-Rong Wen; Tat-Seng Chua (SIGIR, 2024)

Large Language Model Powered Agents in the Web. - Yang Deng 002; An Zhang 003; Yankai Lin; Xu Chen 017; Ji-Rong Wen; Tat-Seng Chua (WWW (Companion Volume), 2024)

Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. - Chen Gao 001; Fengli Xu; Xu Chen 017; Xiang Wang 010; Xiangnan He 001; Yong Li 008 (WWW (Companion Volume), 2024)

Causally Debiased Time-aware Recommendation. - Lei Wang 198; Chen Ma 001; Xian Wu 001; Zhaopeng Qiu; Yefeng Zheng 001; Xu Chen 017 (WWW, 2024)

Understanding Human Preferences: Towards More Personalized Video to Text Generation. - Yihan Wu; Ruihua Song; Xu Chen 017; Hao Jiang 022; Zhao Cao; Jin Yu (WWW, 2024)

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm. - Yabin Zhang 005; Wenhui Yu; Erhan Zhang; Xu Chen 017; Lantao Hu; Peng Jiang 002; Kun Gai (CoRR, 2024)

A Survey on the Memory Mechanism of Large Language Model based Agents. - Zeyu Zhang 007; Xiaohe Bo; Chen Ma 001; Rui Li 086; Xu Chen 017; Quanyu Dai; Jieming Zhu; Zhenhua Dong; Ji-Rong Wen (CoRR, 2024)

Are Long-LLMs A Necessity For Long-Context Tasks? - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Kelong Mao; Yujia Zhou 002; Xu Chen 017; Zhicheng Dou (CoRR, 2024)

Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck. - Hao Yang; Zexu Sun; Hongteng Xu; Xu Chen 017 (CoRR, 2024)

Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games. - Anjie Liu; Jianhong Wang; Haoxuan Li 001; Xu Chen 017; Jun Wang 012; Samuel Kaski; Mengyue Yang (CoRR, 2024)

YuLan: An Open-source Large Language Model. - Yutao Zhu 001; Kun Zhou 002; Kelong Mao; Wentong Chen; Yiding Sun; Zhipeng Chen 001; Qian Cao 001; Yihan Wu; Yushuo Chen; Feng Wang; Lei Zhang; Junyi Li; et al. (CoRR, 2024)

MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants. - Zeyu Zhang 007; Quanyu Dai; Luyu Chen; Zeren Jiang; Rui Li 086; Jieming Zhu; Xu Chen 017; Yi Xie; Zhenhua Dong; Ji-Rong Wen (CoRR, 2024)

GenSim: A General Social Simulation Platform with Large Language Model based Agents. - Jiakai Tang; Heyang Gao; Xuchen Pan; Lei Wang 198; Haoran Tan; Dawei Gao; Yushuo Chen; Xu Chen 017; Yankai Lin; Yaliang Li; Bolin Ding; Jingren Zhou 001; et al. (CoRR, 2024)

Dynamic Hierarchical Attention Network for news recommendation. - Qinghua Zhao; Xu Chen 017; Hui Zhang; Xinlu Li (Expert Syst. Appl., 2024)

Explainable Legal Case Matching via Graph Optimal Transport. - Zhongxiang Sun; Weijie Yu 003; Zihua Si; Jun Xu 001; Zhenhua Dong; Xu Chen 017; Hongteng Xu; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2024)

Introduction to the Special Issue on Causal Inference for Recommender Systems. - Yongfeng Zhang; Xu Chen 017; Da Xu; Tobias Schnabel (Trans. Recomm. Syst., 2024)

Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. - Changxin Tian; Yuexiang Xie; Xu Chen 017; Yaliang Li; Xin Zhao 018 (ACM Trans. Inf. Syst., 2024)

Distributional Fairness-aware Recommendation. - Hao Yang 045; Xian Wu 001; Zhaopeng Qiu; Yefeng Zheng 001; Xu Chen 017 (ACM Trans. Inf. Syst., 2024)

Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework. - Zhidan Wang; Lixin Zou; Chenliang Li; Shuaiqiang Wang; Xu Chen 017; Dawei Yin; Weidong Liu 001 (ACM Trans. Inf. Syst., 2024)

Soft Contrastive Sequential Recommendation. - Yabin Zhang 005; Zhenlei Wang; Wenhui Yu; Lantao Hu; Peng Jiang 002; Kun Gai; Xu Chen 017 (ACM Trans. Inf. Syst., 2024)

A survey on large language model based autonomous agents. - Lei Wang 198; Chen Ma 001; Xueyang Feng; Zeyu Zhang 007; Hao Yang; Jingsen Zhang; Zhiyuan Chen; Jiakai Tang; Xu Chen 017; Yankai Lin; Wayne Xin Zhao; Zhewei Wei; et al. (Frontiers Comput. Sci., 2024)

Towards Effective and Efficient Continual Pre-training of Large Language Models. - Jie Chen 007; Zhipeng Chen 001; Jiapeng Wang; Kun Zhou 002; Yutao Zhu 001; Jinhao Jiang; Yingqian Min; Xin Zhao 018; Zhicheng Dou; Jiaxin Mao; Yankai Lin; Ruihua Song; et al. (ACL (1), 2025)

Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent. - Xueyang Feng; Jingsen Zhang; Jiakai Tang; Wei Li; Guohao Cai; Xu Chen 017; Quanyu Dai; Yue Zhu; Zhenhua Dong (ACL (Findings), 2025)

LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. - Jiarui Ji; Runlin Lei; Jialing Bi; Zhewei Wei; Xu Chen 017; Yankai Lin; Xuchen Pan; Yaliang Li; Bolin Ding (ACL (Findings), 2025)

Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation. - Xiaochuan Liu; Ruihua Song; Xiting Wang; Xu Chen 017 (ACL (Findings), 2025)

MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents. - Haoran Tan; Zeyu Zhang 007; Chen Ma 001; Xu Chen 017; Quanyu Dai; Zhenhua Dong (ACL (Findings), 2025)

KAPA: A Deliberative Agent Framework with Tree-Structured Knowledge Base for Multi-Domain User Intent Understanding. - Jiakai Tang; Shiqi Shen; Zhipeng Wang; Gong Zhi; Xueyang Feng; Zexu Sun; Haoran Tan; Xu Chen 017 (ACL (Findings), 2025)

Incorporating Review-missing Interactions for Generative Explainable Recommendation. - Xi Li; Xiaohe Bo; Chen Ma 001; Xu Chen 017 (COLING, 2025)

MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents. - Yanqi Dai; Huanran Hu; Lei Wang 198; Shengjie Jin; Xu Chen 017; Zhiwu Lu 001 (ICLR, 2025)

Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback. - Zexu Sun; Yiju Guo; Yankai Lin; Xu Chen 017; Qi Qi 003; Xing Tang 007; Xiuqiang He 001; Ji-Rong Wen (ICLR, 2025)

Optimal Transport for Time Series Imputation. - Hao Wang 049; Zhengnan Li; Haoxuan Li 001; Xu Chen 017; Mingming Gong; BinChen; Zhichao Chen 001 (ICLR, 2025)

Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task. - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Kelong Mao; Yujia Zhou 002; Xu Chen 017; Zhicheng Dou (KDD (1), 2025)

Understanding the Roles of Visual Modality in Multimodal Dialogue: An Empirical Study. - Qian Cao 001; Ruihua Song; Xu Chen 017 (MMM (4), 2025)

Improving Retrospective Language Agents via Joint Policy Gradient Optimization. - Xueyang Feng; Bo Lan; Quanyu Dai; Lei Wang 198; Jiakai Tang; Xu Chen 017; Zhenhua Dong; Ji-Rong Wen (NAACL (Long Papers), 2025)

CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds. - Lei Wang 198; Jianxun Lian; Yi Huang; Yanqi Dai; Haoxuan Li 001; Xu Chen 017; Xing Xie 001; Ji-Rong Wen (NAACL (Long Papers), 2025)

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. - Zeyu Zhang 007; Jianxun Lian; Chen Ma 001; Yaning Qu; Ye Luo; Lei Wang 198; Rui Li 086; Xu Chen 017; Yankai Lin; Le Wu; Xing Xie 001; Ji-Rong Wen (NAACL (Findings), 2025)

RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems. - Luyu Chen; Quanyu Dai; Zeyu Zhang 007; Xueyang Feng; Mingyu Zhang; Pengcheng Tang; Xu Chen 017; Yue Zhu; Zhenhua Dong (WWW (Companion Volume), 2025)

MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents. - Zeyu Zhang 007; Quanyu Dai; Xu Chen 017; Rui Li 086; Zhongyang Li; Zhenhua Dong (WWW (Companion Volume), 2025)

Enhancing Recommendation Explanations through User-Centric Refinement. - Jingsen Zhang; Zihang Tian; Xueyang Feng; Xu Chen 017 (CoRR, 2025)

Investigating and Extending Homans' Social Exchange Theory with Large Language Model based Agents. - Lei Wang 198; Zheqing Zhang; Xu Chen 017 (CoRR, 2025)

Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables. - Zexu Sun; Bowei He; Shiqi Shen; Zhipeng Wang; Zhi Gong; Chen Ma 001; Qi Qi 003; Xu Chen 017 (IEEE Trans. Knowl. Data Eng., 2025)

Meta Recommendation With Robustness Improvement. - Zeyu Zhang 007; Chaozhuo Li; Xu Chen 017; Xing Xie 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation. - Jiakai Tang; Sunhao Dai; Teng Shi; Jun Xu 001; Xu Chen 017; Wen Chen; Wu Jian; Yuning Jiang 001 (CoRR, 2025)

User Behavior Simulation with Large Language Model-based Agents. - Lei Wang 198; Jingsen Zhang; Hao Yang 045; Zhiyuan Chen; Jiakai Tang; Zeyu Zhang 007; Xu Chen 017; Yankai Lin; Hao Sun 002; Ruihua Song; Xin Zhao 018; Jun Xu 001; et al. (ACM Trans. Inf. Syst., 2025)

Robust Multiobjective Reinforcement Learning Considering Environmental Uncertainties. - Xiangkun He; Jianye Hao; Xu Chen 017; Jun Wang 012; Xuewu Ji; Chen Lv (IEEE Trans. Neural Networks Learn. Syst., 2025)

YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models. - Lei Wang 198; Heyang Gao; Xiaohe Bo; Xu Chen 017; Ji-Rong Wen (CoRR, 2025)

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge. - Luyu Chen; Zeyu Zhang 007; Haoran Tan; Quanyu Dai; Hao Yang; Zhenhua Dong; Xu Chen 017 (CoRR, 2025)

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing. - Rui Li 086; Quanyu Dai; Zeyu Zhang 007; Xu Chen 017; Zhenhua Dong; Ji-Rong Wen (CoRR, 2025)

RecGPT Technical Report. - Chao Yi; Dian Chen; Gaoyang Guo; Jiakai Tang; Jian Wu; Jing Yu; Mao Zhang; Sunhao Dai; Wen Chen; Wenjun Yang; Yuning Jiang 001; Zhujin Gao; et al. (CoRR, 2025)

Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information. - Zeyu Zhang 007; Yang Zhang; Haoran Tan; Rui Li 086; Xu Chen 017 (CoRR, 2025)