I am now a 4th year Ph.D. candidate in THUIR, Department of Computer Science and Technology in Tsinghua University, Beijing, China. My supervisor is Associate Prof. Min Zhang. My major research interests are about sequential recommendation, temporal dynamics of user intention, and self-supervised learning in information retrieval.

Education

• Aug.2018 - present: Ph.D. candidate, Department of Computer Science and Technology, Tsinghua University, China.
• Aug.2014 - Jul.2018: B.E. Degree, Department of Computer Science and Technology, Tsinghua University, China.
• Aug.2015 - Jul.2018: B.A. Degree (Dual), Digital Media Art, Academy of Arts and Design, Tsinghua University, China.

Publications

• Chenyang Wang, Yuyan Qing, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma. Towards Representation Alignment and Uniformity in Collaborative Filtering. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2022)
• Chenyang Wang, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu and Shaoping Ma. Sequential Recommendation with Multiple Contrast Signals. ACM Transactions on Information Systems. (TOIS 2022, Just Accepted) Online Version
• Chong Chen, Weizhi Ma, Min Zhang, Chenyang Wang, Yiqun Liu, and Shaoping Ma. Revisiting Negative Sampling VS. Non-Sampling in Implicit Recommendation. ACM Transactions on Information Systems. (TOIS 2022, Just Accepted)
• Chenyang Wang, Yi Ren, Weizhi Ma, Min Zhang, Yiqun Liu, and Shaoping Ma. ReChorus: A Comprehensive, Efficient, Flexible, and Lightweight Framework for Recommendation Algorithms. China Conference on Machine Learning. (CCML 2021, Best Student Paper Award) Online Version
• Jiayu Li, Hongyu Lu, Chenyang Wang, Weizhi Ma, Min Zhang, Xiangyu Zhao, Wei Qi, Yiqun Liu, and Shaoping Ma. A Difficulty-Aware Framework for Churn Prediction and Intervention in Games. The 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. (KDD 2021) Online Version
• 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) Online Version
• Chenyang Wang, Weizhi Ma, Min Zhang, Chuancheng Lv, Fengyuan Wan, Huijie Lin, Taoran Tang, Yiqun Liu and Shaoping Ma. Temporal Cross-Effects in Knowledge Tracing. The 14th ACM International Conference on Web Search and Data Mining. (WSDM 2021) Preprint Version
• Chenyang Wang, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu and Shaoping Ma. Towards Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation. ACM Transactions on Information Systems. (TOIS 2021) Preprint Version
• Chenyang Wang, Weizhi Ma, Min Zhang, Yiqun Liu, and Shaoping Ma. Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2020) Preprint Version
• 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 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2019) Preprint Version
• Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma and Xiang Ren. Jointly Learning Explainable Rules for Recommendation with Knowledge Graph Web Mining. The Web Conference 2019. (WWW 2019) Preprint Version
• Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu and Shaoping Ma. Modeling Item-Specific Characteristics of Repeat Consumption for Recommender Systems. The Web Conference 2019. (WWW 2019) Preprint Version
• Weizhi Ma, Min Zhang, Chenyang Wang, Cheng Luo, Yiqun Liu and Shaoping Ma. Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation. The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence. (IJCAI 2018) Preprint Version

Projects

• ReChorus: a general PyTorch framework for fair comparisons between recommendation algorithms, especially for reasearch usage (300+ stars).

Honors and Awards

• Dec.2021: Overall Excellence Scholarship, Tsinghua University.
• Aug.2021: Best Student Paper Award, CCML 2021.
• Dec.2020: Overall Excellence Scholarship, Tsinghua University.
• Dec.2019: Overall Excellence Scholarship, Tsinghua University.
• Jul.2018: Excellent Graduate, Department of Computer Science and Technology, Tsinghua University.
• Mar.2018: Merit Student of Beijing.
• Dec.2017: Overall Excellence Scholarship, Tsinghua University.
• Dec.2016: Community Contribution Scholarship, Tsinghua University.