个人简历

工作经历\r
2020-至今中国人民大学高瓴人工智能学院 准聘助理教授\r
2019-2020 英国伦敦大学学院，博士后研究员\r
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教育经历\r
2014-2019 清华大学软件学院，博士\r
2017-2017 美国佐治亚理工学院，访问学者\r
2011-2014 北京科技大学计算机学院，硕士\r
2005-2009 北京交通大学通信工程系，学士

研究领域

推荐系统 (主要): 可解释推荐系统，序列化推荐算法，基于外部信息的推荐算法。\r
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强化学习: 多目标强化学习，基于连续时间的强化学习算法，强化学习理论。\r
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因果推断: 因果发现，基于潜在结果框架的表示学习""

近期论文

1、Explainable Recommendation: A Survey and New Perspectives Yongfeng Zhang and Xu Chen. Foundations and Trends in Information Retrieval: Vol. 14, No. 1, pp 1-101. Now Publishers.\r
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2、CAFE: Coarse-to-Fine Knowledge Graph Reasoning for E-Commerce Recommendation Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan and Yongfeng Zhang. The 31th ACM International Conference on Information and Knowledge Management (CIKM 2020).\r
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3、Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network Shuqing Bian, Xu Chen, Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang and Ji-Rong Wen. The 31th ACM International Conference on Information and Knowledge Management (CIKM 2020).\r
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4、JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation Xu Chen, Changying Du, Xiuqiang He and Jun Wang. The 43nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020, short paper).\r
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5、Time Matters: Sequential Recommendation with Complex Temporal Information Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin and Dawei Yin. The 43nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020).\r
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6、Generating Natural Language Explanations for Recommendation Hanxiong Chen, Xu Chen, Shaoyun Shi and Yongfeng Zhang. Workshop on the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIRW 2019).\r
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7、Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin and Hongyuan Zha. The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019).\r
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8、Efficient contour computation of group-based skyline Wenhui Yu, Jinfei Liu, Jiann Pei, Li Xiong, Xu Chen and Zheng Qin. IEEE Transactions on Knowledge and Data Engineering (TKDE 2019).\r
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9、Adversarial Distillation for Efficient Recommendation with External Knowledge Xu Chen, Yongfeng Zhang, Honteng Xu, Zheng Qin and Hongyuan Zha. Transaction on Information System (TOIS 2019).\r
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10、Dynamic News Recommendation with Hierarchical Attention Network Hui Zhang, Xu Chen and Shuai Ma. The 19th IEEE International Conference on Data Mining (ICDM 2019, short paper).\r
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11、Dynamic Explainable Recommendation based on Neural Attentive Models Xu Chen, Yongfeng Zhang, Zheng Qin. The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019).\r
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12、Towards Conversational Search and Recommendation: System Ask, User Respond Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang and W. Bruce Croft. The 29th ACM International Conference on Information and Knowledge Management (CIKM 2018).\r
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13、Aesthetic-based Clothing Recommendation Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong and Zheng Qin. The International World Wide Web Conferences (TheWebConf 2018).\r
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14、Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation Qingyao Ai, Vahid Azizi, Xu Chen and Yongfeng Zhang. Algorithms Journal (Algorithms 2018).\r
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15、Sequential Recommendation with User Memory Network Xu Chen, Yongfeng Zhang, Honteng Xu, Zheng Qin and Hongyuan Zha. The 11th ACM International Conference on Web Search and Data Mining (WSDM 2018).\r
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16、Benefits from Superposed Hawkes Processes Hongteng Xu, Dixin Luo, Xu Chen and Lawrence Carin. The 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018).\r
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17、Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen and Tiansi Dong. The international Conference on Empirical Methods in Natural Language Processing (EMNLP 2018).\r
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18、Learning a Hierarchical Embedding Model for Personalized Product Search Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen and Bruce Croft. The 40nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017).\r
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19、Personalized Key Frame Recommendation Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan and Zheng Qin. The 40nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017).\r
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20、Joint Representation Learning for Top-N Recommendation with Heterogenous Information Sources Yongfeng Zhang, Qingyao Ai, Xu Chen and W. Bruce Croft. The 28th ACM International Conference on Information and Knowledge Management (CIKM 2017).\r
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21、An Explainable Probabilistic Local Matrix Factorization by Leveraging User Reviews Xu Chen, Yongfeng Zhang, Xin Zhao, Wenwen Ye and Zheng Qin. The 13th Asia Information Retrieval Societies Conference (AIRS 2017).\r
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22、Fast Algorithm of Pareto Optimal Group-based Skyline Wenhui Yu, Zheng Qin, Jinfei Liu, Li Xiong, Xu Chen and Huidi Zhang. The 28th ACM International Conference on Information and Knowledge Management (CIKM 2017).\r
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23、Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding Yixin Cao, Lifu Huang, Heng Ji, Xu Chen and Juanzi Li. The 55th annual meeting of the Association for Computational Linguistics (ACL 2017).\r
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24、A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images Wenwen Ye, Yongfeng Zhang, Xin Zhao, Xu Chen and Zheng Qin. The 13th Asia Information Retrieval Societies Conference (AIRS 2017).\r
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25、Learning to Rank Features for Recommendation over Multiple Categories Xu Chen, Yongfeng Zhang, Tao Xu, and Zheng Qin. The 39nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016).\r
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26、HLBPR: A Hybrid Local Bayesian Personal Ranking Method Xu Chen, Pengfei Wang, Zheng Qin, and Yongfeng Zhang. The 25th World Wide Web Conference (WWW 2016, poster).
期刊评审员：JMLR, TOIS, TKDE, TIST
会议评审员：SIGIR, The Web Conference, AAAI, IJCAI, CIKM