Working Papers: 'The Complexity of Tullock Contests', 'Strategic Filtering for Content Moderation: Free Speech or Free of Distortion?'; Publications: 'Policy Design for Two-sided Platforms with Participation Dynamics', 'Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms?', etc.; Conferences: ICML, ICLR, Neurips, KDD, etc.
Research Experience
Currently an Assistant Professor in the Department of Statistics and Operations Research at UNC Chapel Hill, previously involved in multiple research projects during his Ph.D. studies at the University of Virginia.
Education
Ph.D. in Computer Science, 2025, University of Virginia, advised by Prof. Haifeng Xu and Prof. Hongning Wang; Bsc./MSc. in Computational Mathematics, 2016, Peking University.
Background
Research Interests: Social aspects of AI, Multi-agent modeling, Algorithmic game theory, Online learning. Biography: Assistant Professor in the Department of Statistics and Operations Research at UNC Chapel Hill, using mathematical tools including statistical learning theory, algorithmic game theory, online learning, and optimization to study human-AI interactions.
Miscellany
Seeking self-motivated students with strong mathematical foundations and Python programming skills to work with him. Students from both UNC and other institutions are welcome.