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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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

"*" indicates equal contribution, "_" indicates equal advising.

b3do Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Conditional Interpretations
Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
ICLR, 2024

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.

b3do FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images
Yi Qin, Xiaomeng Li
MICCAI, 2023
Project Page

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

  • 'The Blade Wall' - Interactive Computer Vision Art Installation. Cooperated with DJI. Installed in DJI | Hasselblad Mixed Flagship Store, Nanjing.
  • CN Patent [CN202211153269.4] 一种基于三维智能检测的智能调度方法 [实质审查]
  • CN Patent [CN202211156132.4] 一种基于体感的多电机阵列上位机控制系统 [实质审查]
  • CN Patent [CN202211153265.6] 一种基于体感的多电机阵列嵌入式底层驱动系统 [实质审查]
  • CN Patent [ZL202210346880.2] 一种基于Transformer的物流包裹分离方法 [公开]

Honors, Awards, and Services


  • HKUST RedBird PhD Recruitment Award (2023-24)
  • Honoured Thesis - Diffusion Model-Empowered Unsupervised Medical Image Registration
  • First Prize, School of Automation Science and Engineering Scholarship (2021)


  • Silver, Guangdong BME Innovative Competition, 2022
  • Bronze & Best Strategy Award, China University Robot Competition RoboMaster Competition, 2021
  • Third Prize, ICRA & RoboMaster 2021 AI Challenge, 2021


  • Reviewer for ICONIP2023
  • Teaching Assistant: ELEC 4840 Artificial Intelligence for Medical Image Analysis (24 Spring)
  • Technical advisory board member: Guangdong QiLi Tech. Co. Ltd.
  • TED Talk Translator

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