Changjian Shui

Université Laval, Mila

E-mail: changjian DOT shui AT mcgill DOT ca
[Google Scholar]

About me

I am currently a Postdoc in McGill University, Mila, under the supervision of Prof. Tal Arbel. I recently obtained Ph.D. degree from Université Laval, under the supervision of Prof. Christian Gagné and Prof. Boyu Wang.

Research Interests Learning limited labeled data (transfer learning, meta-learning, multitask learning, active learning); Trustworthy machine learning (algorithmic fairness, robustness, out-of-distribution generalization); Applied machine learning (data-mining, healthcare). Open to collaborations on these ideas.


  • [Oct 2022] Our paper “On Learning Fairness and Accuracy on Multiple Subgroups” has been accepted in NeurIPS 2022 (Spotlight presentation).

  • [Sep 2022] Our paper “Lifelong Online Learning from Accumulated Knowledge” has been accepted in ACM Transactions on Knowledge Discovery from Data (TKDD). See our showcase for details!

  • [May 2022] Our paper “Fair Representation Learning through Implicit Path Alignment” has been accepted in ICML 2022. See our blog for details!

  • [Feb 2022] I passed the Ph.D thesis defense