Changjian Shui

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Université Laval, Mila, Vector Institute
E-mail: changjian DOT shui AT vectorinstitute DOT ai
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About me

I am a postdoc fellow at the Vector Institute. Previously, I did my postdoc at McGill University/Mila, under the supervision of Prof. Tal Arbel. I obtained Ph.D. degree from Université Laval, under the supervision of Prof. Christian Gagné and Prof. Boyu Wang.

Research Interests I am working on a reliable and responsible use of Machine Learning, with a focus on mitigating bias and discrimination in machine learning. I believe that tackling these issues is pivotal for ensuring the responsible use of machine learning. My recent papers, such as those presented at ICML 2024, NeurIPS 2022, ICML 2022, and MICCAI 2023, delve into the details of my research in this area. I also work on distribution shift by developing theories and algorithms. My recent blog hightlights the relationship between distribution shift and responsible machine learning.

Recent news [archive]

  • [May 2024] Our paper “Intersectional Unfairness Discovery” is accepted at ICML 2024.