I am a fourth-year PhD student of SafeAI Lab at Carnegie Mellon University, and a Master in Machine Learning at School of Computer Science, advised by Professor Ding Zhao. I also work closely with Professor Bo Li. My current research interest lies at the intersection of causal representation learning and generalizable reinforcement learning, which can potentially be applied on robots and other autonomous systems. Prior to CMU, I receive my B.S. Degree with highest honor in Automation (Robotics Track) from Zhejiang University in 2021. I also spent wonderful time collaborating with Huajie Shao, who joined William and Mary as tenure-track assistant professor.
Ph.D., SafeAI Lab, 2021-
College of Engineering, Carnegie Mellon University
M.S., Machine Learning, 2021-
School of Computer Science, Carnegie Mellon University
B.S. in Robotics (Honorable Degree), 2017-2021
Department of Control Science and Engineering, Zhejiang University
[09/2024] Two papers: BECAUSE and OASIS accepted by NeurIPS 2024, huge thanks to all my coauthors and congratulations to Yihang!
[05/2024] Starting my summer intern at AI research team of Cruise LLC!
[06/2024] Our RAL paper about causal representation for safe autonomous driving will be presented as an oral paper at IROS 2024!
[02/2024] One paper about causal representation for safe autonomous driving accepted by RA-L!