Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Publications: 'Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training' and several other papers published in conferences such as RSS, IROS, L4DC, ITSC, ICRA, CDC, and journals; Awards: 2024 L-CSS Outstanding Reviewer Award, DAAD AInet Fellow, etc.
Research Experience
Worked at Toyota Research, Tencent AI, and quant finance (Point72/Cubist).
Education
Ph.D. candidate at the University of Pennsylvania GRASP Lab, advised by Professor George J. Pappas; Bachelor's degree (Summa Cum Laude) from Shanghai Jiao Tong University, worked closely with Professor Xiang Yin, graduated in 2021.
Background
Research Interests: safety of AI-enabled robots, adaptive and efficient (reinforcement & imitation) learning-based control in multi-agent systems, uncertainty-aware safe control for learning-enabled systems, formal verification and synthesis; Professional Fields: formal methods, statistics, game theory.
Miscellany
Service: Co-organizer of the 2nd Workshop on MAD-Games: Multi-Agent Dynamic Games @ ICRA 2024, Area Chair for Tiny Papers @ ICLR 2024, 2023, and a CPHS'2024 mentor.