" " The more effective methods have always been the ones that scale with computation, and the more brittle ones have been those that rely on human knowledge.
About Me
Currently, I am a Ph.D student in Department of Electrical Computer Engineering, University of British Columbia , supervised by Prof. Renjie Liao. My current research focuses on deep generative models. More broadly, my interests span various areas of machine learning, including imitation learning, reinforcement learning, and Hopfield networks.
Previously, I was a Ph.D student in Department of Computer Science, Northwestern University from September 2022 to June 2023, supervised by Prof. Han Liu. I obtained my B.E. degree from Department of Electrical Engineering, Tsinghua University in July 2022. In the course of my undergraduate study, I worked closely with Prof. Yang Gao on topics of imitation learning.
News
- [03/2023] A great honor to join UBC ECE!
Publications
Note: * indicates equal contribution (co-first authors)
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
Conference: ECCV 2022
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
Conference: ECCV 2022
Get In Touch
If you have any questions about my recent projects or want to explore future possibilities for cooperation, please feel free to contact me!