Mila > Team > Can Chen

Can Chen


I am a Ph.D. student at McGillMila working with Prof. Xue (Steve) Liu and Prof. Christopher Pal. I graduated (bachelor) from University of Science and Technology of China as an outstanding graduate (73/1824 ≈ 4%). Besides, I interned at Microsoft Research Asia, Tencent, and Baidu, and served as a mentor at Amgen, Valence Discovery and AbCellera. I am currently interested in generative modeling, AI for Science, meta-learning and blockchain.

Selected Publications

* denotes (co-)first author and † denotes (co-)corresponding author.

Generalized data weighting via class-level gradient manipulation

Can Chen*†, Shuhao Zheng*†, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou (NeurIPS 2021)

Bidirectional learning for offline infinite-width model-based optimization

Can (Sam) Chen*†, Yingxue Zhang, Jie Fu, Xue Liu, Mark Coates (NeurIPS 2022)

Structure-aware protein self-supervised learning

Can (Sam) Chen*†, Jingbo Zhou†, Fan Wang, Xue Liu, Dejing Dou (Bioinformatics 2023)

Bidirectional learning for offline model-based biological sequence design

Can (Sam) Chen*†, Yingxue Zhang, Xue Liu, Mark Coates (ICML 2023)