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 research interests lie in the area of Machine learning, including imitation learning, reinforcement learning, representative learning, and probabilistic graphical models, and their applications to computer vision.

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

Publications

On Sparse Modern Hopfield Model
Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu.
NeurIPS 2023   PDF /NEWS /Github

Adaptive Model Design for Markov Decision Process
Siyu Chen*, Donglin Yang*, Jiayang Li, Senmiao Wang, Zhuoran Yang, Zhaoran Wang.
ICML 2022   PDF

Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
Chia-Chi Chuang*, Donglin Yang*, Chuan Wen*, Yang Gao.
ECCV 2022   PDF/Github

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!