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.

News

• [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.

Preprint

MedIAnomaly: A comparative study of anomaly detection in medical images.
Yu Cai, Weiwen Zhang, Hao Chen, Kwang-Ting Cheng.
[arXiv:2404.04518] | [code]

Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective.
Yu Cai, Hao Chen, Kwang-Ting Cheng.
[ arXiv:2403.09303]

Publications

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

• 2022-2026      HKUST Postgraduate Studentship
• 2022      HKUST RedBird PhD Award
• 2022      Honours Bachelor Degree (Top 2%)
• 2022      Outstanding Undergraduate Thesis (Top 2%)
• 2021      National Scholarship (Top 2%)
• 2020      National Scholarship (Top 2%)
• 2020      Outstanding Undergraduate in terms of Academic Performance (Top 1%)

Teaching Assistant

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