Yu CAI 蔡煜

Yu CAI 蔡煜

PhD Candidate at HKUST ECE.

Homepage

I am a PhD Candidate at Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology (HKUST), supervised by Prof. Kwang-Ting (Tim) Cheng and Prof. Hao Chen, since 2022 fall. Previously, I received the BEng degree (with Honours) at the Excellent Engineer Class of School of Electronic Information and Communications (EIC), Huazhong University of Science and Technology (HUST) in June, 2022. At HUST, I was lucky to do research with Prof. Xin Yang and Prof. Yu Zhou.

Here is my CV.

Research Interests

Anomaly Detection in Medical images, Computational Pathology, Model Compression.

News

  • [2025/04] One co-author paper was accepted by Nature Biomedical Engineering (NBME).
  • [2025/02] One paper was accepted by Medical Image Analysis (MedIA).
  • [2024/07] Awarded HKUST RedBird PhD Award (Academic Excellence Award).
  • [2024/06] One paper was accepted by MICCAI 2024.
  • [2023/11] Passed the PhD Qualifying Examination (PQE) and became a PhD Candidate.
  • [2023/03] One paper was accepted by Medical Image Analysis (MedIA).
  • [2022/06] Graduated from HUST with Honours Bachelor Degree (top 2%).
  • [2022/06] My thesis "Research on Unsupervised Anomaly Detection in Chest X-rays" was awarded Outstanding Undergraduate Thesis.
  • [2022/05] One paper was early accepted by MICCAI 2022.

Selected Publications [Full List]

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation.
Jiabo Ma^, Zhengrui Guo^, Fengtao Zhou, Yihui Wang, Yingxue Xu, Jinbang Li, Fang Yan, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Chenglong Zhao, Danyi Li, Anjia Han, Zhenhui Li, Ronald Cheong Kin Chan, Jiguang Wang, Peng Fei, Kwang-Ting Cheng, Shaoting Zhang#, Li Liang#, Hao Chen#.
Nature Biomedical Engineering (NBME), 2025. (IF: 27.7)

MedIAnomaly: A comparative study of anomaly detection in medical images.
Yu Cai, Weiwen Zhang, Hao Chen, Kwang-Ting Cheng.
Medical Image Analysis (MedIA), 2025. (IF: 10.7)
[paper] | [arXiv] | [code]

Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective.
Yu Cai, Hao Chen, Kwang-Ting Cheng.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.
[paper] | [arXiv] | [code]

Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images.
Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng.
Medical Image Analysis (MedIA), 2023. (IF: 13.828)
[paper] | [arXiv] | [code]

Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays.
Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. Early Accept (Acceptance rate: 13%).
[paper] | [arXiv] | [code]

Selected Awards

Teaching Assistant

  • ELEC3120 Computer Communication Networks. Fall 2023.
  • ELEC5680 Advanced Deep Learning Architectures. Spring 2023.