- STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making (arXiv)
- Incentivized Truthful Communication for Federated Bandits (ICLR 2024)
- Communication Efficient Distributed Learning for Kernelized Contextual Bandits (NeurIPS 2022)
- Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits (AISTATS 2022)
- Unifying Clustered and Non-stationary Bandits (AISTATS 2021)
Research Experience
- Postdoctoral Associate in the Department of Statistics and Data Science at Yale University, affiliated with CADMY
- Tenure-Track Assistant Professor in the Department of Industrial Engineering at Tsinghua University
Education
- Ph.D. in Computer Science from the University of Virginia
- M.S. in Mechatronics Engineering from Harbin Institute of Technology
- B.S. in Mechanical Engineering and English from Harbin Institute of Technology
Background
Tenure-Track Assistant Professor in the Department of Industrial Engineering at Tsinghua University. Research interests include multi-agent systems that reason, interact, and learn in dynamic and uncertain settings, whether the individual agents’ objectives are aligned or not. Work blends machine learning, optimization, and algorithmic game theory.