Can Chen
I am a Ph.D. student at McGill–Mila 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)
