I am currently a senior researcher at Huawei Inc. Before I joined Huawei, I obtained my B.E. and Ph.D. degrees from THUIR group, Department of Computer Science and Technology in Tsinghua University. My supervisor is Prof. Min Zhang. I was a visiting student from April, 2019 to September, 2019 in The Web Intelligent Systems and Economics (WISE) Lab at Rutgers, advised by Prof. Yongfeng Zhang.

My research interests are deep learning, natural language processing, user modeling, recommendation and etc.

Educations

• Aug. 2017 - 2022. Ph.D. student, Department of Computer Science and Technology, Tsinghua University, China
• Aug. 2013 - Jul. 2017 B.E., Department of Computer Science and Technology, Tsinghua University, China

Honors and Awards

• 2023. CAIL 2023, 1st place of Legal Case Retrieval track and Conversational Legal Case Retrieval track
• 2023. CAAI Outstanding Doctoral Dissertation Award Nomination
• 2022. CAIL 2022, 1st place of Legal Case Retrieval track
• 2022. WAIC YunFan Award, Rising Star
• 2021. Tsinghua Special Scholarship Nomination
• 2021. Jiang Nanxiang Scholarship
• 2021. Yang Huiyan Scholarship
• 2020. Baidu Scholarship, 10 students in the world
• 2020. ‘84’ Future Innovation Scholarship
• 2020. Zhong Shimo Scholarship, the highest award in the Department of CST,Tsinghua University
• 2020. ByteDance Scholars Program, 10 students in China
• 2020. China National Scholarship
• 2020. Academic Rising Star, the highest academic honor in the Department of CST, Tsinghua University. Only 2 students (including master and Ph.D. students) are awarded each year
• 2020. ACM SIGIR Student Travel Support
• 2019. China National Scholarship
• 2019. ACM SIGIR Student Travel Support
• 2018. Best Paper Honorable Mention, in AIRS 2018
• 2017. Outstanding Graduates, Tsinghua University

PhD thesis

• 高效神经网络推荐理论与方法研究 （Efficient Neural Recommendation: Theories and Methods） Thesis

Publications

• Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval (SIGIR 2023).Preprint Version
• Kun Zhang, Chong Chen, Yuanzhuo Wang, Qi Tian, Long Bai. Cfgl-lcr: A counterfactual graph learning framework for legal case retrieval Proceedings of the 29th ACM SIGKDD Conference. (KDD 2023) Preprint Version
• Chenyang Wang, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma. Sequential recommendation with multiple contrast signals ACM Transactions on Information Systems. (TOIS Vol. 41. No. 1, Article 11). Preprint Version
• Shengjie Ma, Chong Chen, Jiaxin Mao, Qi Tian, Xuhui Jiang. Session Search with Pre-trained Graph Classification Model. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2023).Preprint Version
• Chong Chen, Min Zhang, Fei Sun and Bolin Ding. Recommendation Unlearning. The Web Conference 2022. (WWW 2022).Preprint Version Code
• Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen and Yongfeng Zhang. Efficient Knowledge Graph Embedding without Negative Sampling. The Web Conference 2021 (WWW 2021). Preprint Version
• Chenyang Wang, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu and Shaoping Ma. Towards Dynamic User Intention: Temporal Evolution of Item Relations in Sequential Recommendation. ACM Transactions on Information Systems. (TOIS Vol. 39, No. 2, Article 16). Preprint Version Code
• Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu and Shaoping Ma. Graph Heterogeneous Multi-Relational Recommendation. The 45th AAAI Conference on Artificial Intelligence. (AAAI 2021). Preprint Version Code
• Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu and Shaoping Ma. Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation. The 43th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2020). Preprint Version Code
• Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu and Shaoping Ma. Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation. The Web Conference 2020 (WWW 2020). Preprint Version Code
• Chong Chen, Min Zhang, Yongfeng Zhang, Yiqun Liu and Shaoping Ma. Efficient Neural Matrix Factorization without Sampling for Recommendation. ACM Transactions on Information Systems. (TOIS Vol. 38, No. 2, Article 14). Preprint Version Code
• Chong Chen, Min Zhang, Weizhi Ma, Yongfeng Zhang, Yiqun Liu and Shaoping Ma. Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation. The 44th AAAI Conference on Artificial Intelligence. (AAAI 2020). Preprint Version Code
• Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li, Yiqun Liu and Shaoping Ma. An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation. The 42th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2019). Preprint Version Code
• Chong Chen, Min Zhang, Yiqun Liu and Shaoping Ma. Social Attentional Memory Network: Modeling Aspect- and Friend-level Diferences in Recommendation. The 12th ACM International Conference on Web Search and Data Mining (WSDM 2019). Preprint Version Code
• Chong Chen, Min Zhang, Yiqun Liu and Shaoping Ma. Missing Data Modeling with User Activity and Item Popularity in Recommendation. The 14th Asia Information Retrieval Societies Conference (AIRS 2018). Preprint Version
• Chong Chen, Min Zhang, Yiqun Liu and Shaoping Ma. Neural Attentional Rating Regression with Review-level Explanations. The Web Conference 2018 (WWW 2018). Preprint Version Code

Experiences

• Jun. 2021 - Feb. 2022. Internship, Data Analytics and Intelligence Lab, Alibaba, China.
• Apr. 2019 - Sep. 2019. Visiting student, Rutgers University, The United State.
• Feb. 2019 - Apr. 2019. Internship, WeChat Group, Tencent Beijing, China.