Yi Qin (Eason)

I'm now currently a Ph.D. student supervised by Prof. Xiaomeng Li at ECE, the Hong Kong University of Science and Technology. I also have the opportunity to work closely with Prof. Hao Wang and Dr. Lu Mi. Before joining HKUST, I obtained BEng at the South China University of Technology majoring in Automation Science and Engineering.

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Research

My research interest lies in the interdisciplinary areas of machine intelligence and digital healthcare. Specific interested topics include:

• Score-based Generative Model
• Trustworthy/Explainable ML (Energy-based Concept-based models)
• Foundation Model (FM) based Disease Diagnosis/Prognosis Prediction

We introduce Energy-Based Concept Bottleneck Models (ECBM) as a unified framework for concept-based prediction, concept correction, and fine-grained interpretations based on conditional probabilities.

To fully exploit the diffusion model's ability to guide the registration task, we present two modules in FSDiffReg: Feature-wise Diffusion-Guided Module (FDG) and Score-wise Diffusion-Guided Module (SDG).

Projects and Patents

Honors, Awards, and Services

This website is adapted from Jonathan Barron's source code.