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
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!