Xu Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 96

Top Topics

Collaborative Filtering

Feature Generation

News Recommendation

Top Venues

ACM Trans. Inf. Syst.

Publications

Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li
Natural Language Explainable Recommendation with Robustness Enhancement. KDD (2024)
Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen
Causally Debiased Time-aware Recommendation. WWW (2024)
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 (2024)
Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. CoRR (2024)
Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm. CoRR (2024)
Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework. AAAI (2024)
Qinghua Zhao, Xu Chen, Hui Zhang, Xinlu Li
Dynamic Hierarchical Attention Network for news recommendation. Expert Syst. Appl. 255 (2024)
Hao Yang, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen
Distributional Fairness-aware Recommendation. ACM Trans. Inf. Syst. 42 (5) (2024)
An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua
Large Language Model Powered Agents for Information Retrieval. SIGIR (2024)
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)
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) (2024)
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 (2024)
Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li
Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. WWW (Companion Volume) (2024)
Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen
Active Explainable Recommendation with Limited Labeling Budgets. ICASSP (2024)
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 (2024)
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 (2024)
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) (2024)
Yihan Wu, Ruihua Song, Xu Chen, Hao Jiang, Zhao Cao, Jin Yu
Understanding Human Preferences: Towards More Personalized Video to Text Generation. WWW (2024)
Changxin Tian, Yuexiang Xie, Xu Chen, Yaliang Li, Xin Zhao
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. ACM Trans. Inf. Syst. 42 (5) (2024)
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) (2023)
Hao Yang, Zhining Liu, Zeyu Zhang, Chenyi Zhuang, Xu Chen
Towards Robust Fairness-aware Recommendation. RecSys (2023)
Zeyu Zhang, Heyang Gao, Hao Yang, Xu Chen
Hierarchical Invariant Learning for Domain Generalization Recommendation. KDD (2023)
Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41 (4) (2023)
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)
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
Causal Collaborative Filtering. ICTIR (2023)
Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen
Distributionally Robust Sequential Recommnedation. SIGIR (2023)
Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang
Robust Causal Inference for Recommender System to Overcome Noisy Confounders. SIGIR (2023)
Jiakai Tang, Shiqi Shen, Zhipeng Wang, Zhi Gong, Jingsen Zhang, Xu Chen
When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation. RecSys (2023)
Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai
A Multi-Agent Framework for Recommendation with Heterogeneous Sources. IJCNN (2023)
Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He
IPGAN: Generating Informative Item Pairs by Adversarial Sampling. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (2022)
Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong
Recommendation with User Active Disclosing Willingness. CoRR (2022)
Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
Sequential Recommendation with Causal Behavior Discovery. CoRR (2022)
Xu Chen, Jun Wang
Inhomogeneous deep Q-network for time sensitive applications. Artif. Intell. 312 (2022)
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
Debiased Recommendation with User Feature Balancing. CoRR (2022)
Quanyu Dai, Zhenhua Dong, Xu Chen
Debiased Recommendation with Neural Stratification. CoRR (2022)
Ying Wen, Hui Chen, Yaodong Yang, Minne Li, Zheng Tian, Xu Chen, Jun Wang
A Game-Theoretic Approach to Multi-agent Trust Region Optimization. DAI (2022)
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. AAAI (2022)
Quanyu Dai, Zhenhua Dong, Xu Chen
Debiased recommendation with neural stratification. AI Open 3 (2022)
Yongfeng Zhang, Xu Chen, Yi Zhang, Xianjie Chen
CSR 2021: The 1st International Workshop on Causality in Search and Recommendation. SIGIR (2021)
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
Counterfactual Explainable Recommendation. CoRR (2021)
Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou
Counterfactual Review-based Recommendation. CIKM (2021)
Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen
Counterfactual Data-Augmented Sequential Recommendation. SIGIR (2021)
Hanxiong Chen, Xu Chen, Shaoyun Shi, Yongfeng Zhang
Generate Natural Language Explanations for Recommendation. CoRR (2021)
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
Top-N Recommendation with Counterfactual User Preference Simulation. CIKM (2021)
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
Counterfactual Explainable Recommendation. CIKM (2021)
Jingsen Zhang, Xu Chen, Wayne Xin Zhao
Causally Attentive Collaborative Filtering. CIKM (2021)
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)
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)
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
Causal Collaborative Filtering. CoRR (2021)
Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin
Learning Reinforced Dynamic Representations for Sequential Recommendation. CoRR (2021)
Xu Chen, Yali Du, Long Xia, Jun Wang
Reinforcement Recommendation with User Multi-aspect Preference. WWW (2021)
Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin
Visually aware recommendation with aesthetic features. VLDB J. 30 (4) (2021)
Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang
Discrete Knowledge Graph Embedding based on Discrete Optimization. CoRR (2021)
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
Top-N Recommendation with Counterfactual User Preference Simulation. CoRR (2021)
Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong
The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). WSDM (2021)
Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CIKM (2020)
Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin
Efficient Contour Computation of Group-Based Skyline. IEEE Trans. Knowl. Data Eng. 32 (7) (2020)
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)
Xu Chen, Changying Du, Xiuqiang He, Jun Wang
JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. SIGIR (2020)
Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CoRR (2020)
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 (2020)
Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin, Jimmy Xiangji Huang
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. ACM Trans. Inf. Syst. 39 (1) (2020)
Yongfeng Zhang, Xu Chen, Yi Zhang, Min Zhang, Chirag Shah
EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search. SIGIR (2020)
Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin
Time Matters: Sequential Recommendation with Complex Temporal Information. SIGIR (2020)
Yongfeng Zhang, Xu Chen
Explainable Recommendation: A Survey and New Perspectives. Found. Trends Inf. Retr. 14 (1) (2020)
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 (2020)
Xu Chen, Yongfeng Zhang, Hongteng Xu, Zheng Qin, Hongyuan Zha
Adversarial Distillation for Efficient Recommendation with External Knowledge. ACM Trans. Inf. Syst. 37 (1) (2019)
Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. SIGIR (2019)
Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin
Efficient Contour Computation of Group-based Skyline. CoRR (2019)
Hui Zhang, Xu Chen, Shuai Ma
Dynamic News Recommendation with Hierarchical Attention Network. ICDM (2019)
Xu Chen, Yongfeng Zhang, Zheng Qin
Dynamic Explainable Recommendation Based on Neural Attentive Models. AAAI (2019)
Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin
Visually-aware Recommendation with Aesthetic Features. CoRR (2019)
Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. EMNLP (2018)
Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. CoRR (2018)
Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin
Aesthetic-based Clothing Recommendation. WWW (2018)
Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen
IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. WSDM (2018)
Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. CoRR (2018)
Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. Algorithms 11 (9) (2018)
Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha
Sequential Recommendation with User Memory Networks. WSDM (2018)
Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin
Aesthetic-based Clothing Recommendation. CoRR (2018)
Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin
Benefits from Superposed Hawkes Processes. AISTATS (2018)
Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, Hongyuan Zha
Visually Explainable Recommendation. CoRR (2018)
Yongfeng Zhang, Xu Chen
Explainable Recommendation: A Survey and New Perspectives. CoRR (2018)
Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, W. Bruce Croft
Towards Conversational Search and Recommendation: System Ask, User Respond. CIKM (2018)
Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang
Learning over Knowledge-Base Embeddings for Recommendation. CoRR (2018)
Xu Li, Xu Chen, Zheng Qin
Deep Collaborative Filtering Combined with High-Level Feature Generation on Latent Factor Model. ICONIP (1) (2018)
Wenhui Yu, Zheng Qin, Jinfei Liu, Li Xiong, Xu Chen, Huidi Zhang
Fast Algorithms for Pareto Optimal Group-based Skyline. CIKM (2017)
Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, Juanzi Li
Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. ACL (1) (2017)
Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft
Learning a Hierarchical Embedding Model for Personalized Product Search. SIGIR (2017)
Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Wenwen Ye, Zheng Qin
Probabilistic Local Matrix Factorization Based on User Reviews. AIRS (2017)
Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin
Personalized Key Frame Recommendation. SIGIR (2017)
Wenwen Ye, Yongfeng Zhang, Wayne Xin Zhao, Xu Chen, Zheng Qin
A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images. AIRS (2017)
Yongfeng Zhang, Qingyao Ai, Xu Chen, W. Bruce Croft
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources. CIKM (2017)
Jin Liu, Yiqiuzi Tian, Liang Hong, Xu Chen, Zhou Xu
Developer Recommendation with Awareness of Accuracy and Cost. SEKE (2016)
Xu Chen, Pengfei Wang, Zheng Qin, Yongfeng Zhang
HLBPR: A Hybrid Local Bayesian Personal Ranking Method. WWW (Companion Volume) (2016)
Xu Chen, Zheng Qin, Yongfeng Zhang, Tao Xu
Learning to Rank Features for Recommendation over Multiple Categories. SIGIR (2016)