Xing Shen 沈幸

M.Sc. student
Centre for Intelligent Machines, McGill University
Mila - Quebec AI Institute
Email: xingshen@cim.mcgill.ca

prof_pic.jpg

Credit: Lexin Zhang

My Google Scholar / CV

I am a second-year Master’s student at McGill University and Mila - Quebec AI Institute, supervised by Prof. Tal Arbel. I obtained B.Eng. degree in Computer Engineering from McGill University.

Research interests: My research focuses on advancing theories and algorithms for trustworthy machine learning, especially on out-of-distribution generalization, uncertainty quantification, and causality. Concurrently, I am working on leveraging AI to propel scientific discovery and innovate in medical diagnostics and treatment. I am actively seeking opportunities to contribute my ideas and knowledge to the AI community with a goal of realizing Human-AI society for the benefit of all.

"Never interrupt someone doing something you said couldn't be done."

— Amelia Earhart

news

Jun 23, 2025 :book: Our paper “Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles” has been accepted to IEEE Transactions on Medical Imaging.
Jun 22, 2025 :book: Our paper “Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification” has been accepted to MICCAI 2025.
Jul 08, 2024 :trophy: I am honored to receive the HBHL Graduate Student Fellowship.
Jun 10, 2024 :book: The paper “Verbalized Probabilistic Graphical Modeling with Large Language Models” is published on arXiv. [paper]
Mar 21, 2024 :star2: I am invited to CIFAR DLRL 2024, see you in July at Vector Institute!
Jan 12, 2024 :star2: I officially join Mila - Quebec AI Institute as a Master’s student (Thesis), a world recognized artificial intelligence and machine learning research institute leaded by Prof. Yoshua Bengio.