Dr. Weizhi Ma is a research assistant professor at the Institute for AI Industry Research (AIR), Tsinghua University. Before joining AIR, he got his B.E. and Ph.D. degree in the Department of Computer Science and Technology, Tsinghua University, and was working as a postdoctoral research fellow at Tsinghua University. His research focuses on intelligence information acquisition, Personalized Recommendation and User Profiling, and AI Healthcare. Dr. Ma has published over 40 papers in top conferences and journals, and applied for several patents. Dr. Ma is also a reviewer for more than 10 CCF Rank A/B artificial intelligence conferences and journals. He is currently a committee member of Chinese Information Processing Society of China - Information Retrieval Committee and Youth Working Committee, and an assistant of ACM TOIS (CCF Rank A journal). He has got the Full Paper Honorable Mention Award in SIGIR 2020 and some other awards.
Personal Academic Website:
https://mawz12.github.io
Email address:
Maweizhi@air.tsinghua.edu.cn
Education:
2014 - 2019 Department of Computer Science and Technology, Tsinghua University PhD
2010 - 2014 Department of Computer Science and Technology, Tsinghua University Bachelor
Career:
2021 till now Institute of AI Industrial Research, Tsinghua University Research Assistant Professor
2019 - 2021 Department of Computer Science and Technology, Tsinghua University Postdoctoral Research Fellow
Research Fields:
Intelligence Information Acquisition, Personalized Recommendation and User Profiling, and AI Healthcare.
Selected Publications:
1. Chenyang Wang, Weizhi Ma, Min Zhang, Yiqun Liu, and Shaoping Ma. Towards Dynamic User Intention: Temporal Evolution of Item Relations in Sequential Recommendation (TOIS).
2. Hongyu Lu, Weizhi Ma, Min Zhang, Maarten de Rijke, Yiqun Liu and Shaoping Ma. Standing in Your Shoes: External Assessments for Personalized Recommender Systems (SIGIR 2021)
3. Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma. Graph Heterogeneous Multi-Relational Recommendation (AAAI 2021).
4. Shaoyun Shi, Weizhi Ma, Min Zhang, Yongfeng Zhang, Xinxing Yu, Houzhi Shan, Yiqun Liu, and Shaoping Ma. Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation (SIGIR 2020).
5. 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 (theWebConf 2019).
Major Honors and Awards:
2020 First Prize of Qian Weichang Chinese Information Processing Science and Technology Award, Chinese Information Processing Society of China
2020 Full Paper Honorable Mention Award
2019 Outstanding Ph.D. Dissertation Nomination Award, Chinese Information Processing Society of China
2017 Tsinghua ‘Lin Feng’ Scholarship
