Xing Shen 沈幸
M.Sc. student
Centre for Intelligent Machines, McGill University
Mila - Quebec AI Institute
Email: xing.shen@mail.mcgill.ca
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 fairness. 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."
news
| Jul 12, 2025 |  Our paper “Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models” has been accepted to ICCV 2025 Workshop CVAMD. |
|---|---|
| Jun 23, 2025 | 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 | 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 |  I am honored to receive the HBHL Graduate Student Fellowship. |
| Jun 10, 2024 | Our paper “Verbalized Probabilistic Graphical Modeling with Large Language Models” has been published on arXiv. [paper] |
| Mar 21, 2024 |  I am invited to CIFAR DLRL 2024, see you in July at Vector Institute! |
| Jan 12, 2024 | 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. |