Hangzhou He

Hangzhou He

Ph.D. student at Peking University

Hi! I’m Hangzhou He (何航舟) from Peking University. I’m a Ph.D. student at the Molecular Imaging and Medical Intelligence Lab (MILab), under the supervision of assistant professor Yanye Lu (卢闫晔) and professor Qiushi Ren (任秋实).

My research focuses on the intersection of artificial intelligence and biomedical applications, with a particular emphasis on the trustworthiness of deep learning models, including explainability, generalization, and building interpretable models. Feel free to email me for any questions or interesting ideas.

Selected Publications

#: Equal Contribution; *: Corresponding Author

Preprint

  • Chat-CBM: Towards Interactive Concept Bottleneck Models with Frozen Large Language Models
    Hangzhou He, Lei Zhu, Kaiwen Li, Xinliang Zhang, Jiakui Hu, Ourui Fu, Zhengjian Yao, Yanye Lu*
    arxiv September 2025
    [pdf] [doi] [code]

Conference

  • Training-free Test-time Improvement for Explainable Medical Image Classification
    Hangzhou He#, Jiachen Tang#, Lei Zhu, Kaiwen Li, Yanye Lu*
    MICCAI 2025 (spotlight)
    [pdf] [doi] [code]

  • V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer
    Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu*
    AAAI 2025 (main track poster and oral at workshop)
    [pdf] [doi] [code]

  • On the Duality Between Sharpness-Aware Minimization and Adversarial Training
    Yihao Zhang#, Hangzhou He#, Jingyu Zhu#, Huanran Chen, Yifei Wang, Zeming Wei*
    ICML 2024 (poster)
    [pdf] [doi] [code]

Journal

  • Points-supervised Fundus Vessel Segmentation via Shape Priors and Contrastive Learning
    Kaiwen Li, Hangzhou He, Shuang Zeng, Xinliang Zhang, Yuanwei Li, Lei Zhu*, Yanye Lu*
    IEEE Transactions on Medical Imaging
    [pdf] [doi] [code]

  • Assessing Response in Endoscopy Images of Esophageal Cancer Treated with Total Neoadjuvant Therapy via Hybrid-Architecture Ensemble Deep Learning
    Peng Yuan#, Meichen Liu#, Hangzhou He#, Liang Dai#, Ya-Ya Wu, Ke-Neng Chen*, Qi Wu*, Yanye Lu*
    Frontiers in Oncology
    [pdf] [doi] [code]

Projects

  • PyTorch Attribution Toolbox
    Feature attribution methods for explaining image classification models, with a Chinese patent (ZL 2024 1 0941326.8)
    [Github]
    image

Honors and Awards

  • National Scholarship, Ministry of Education of China, 2025
  • AAAI-25 Student Scholarship, AAAI, 2025
  • Dean’s scholarship, College of Future Technology, Peking University, 2024, 2025
  • Excellent Graduate, Peking University, 2024
  • Honours Degrees, College of Engineering, Peking University, 2024
  • Grand Challenges Scholar, the Grand Challenges Scholar, Grand Challenges Scholars Program & Peking University, 2024 (Top 5 undergraduates university-wide)
  • Outstanding Project Award for Undergraduate Research, Peking University, 2024
  • Award for Academic Excellents, Peking University, 2023

Educations

  • 2024.09 - Present, Ph.D. student, Department of Biomedical Engineering, College of Future Technology, Peking University
  • 2020.09 - 2024.07, B.S. in Theoretical and Applied Mechanics, minor in Biomedical Engineering, College of Engineering, Peking University

Internships

  • 2023.07 - 2023.09, Research Intern, United Imaging Intelligence, RIID, Beijing, China
    • Large language models for medical image analysis and structured reports
    • Supervisor: Dr. Pei Dong

Services

  • Conference Reviewer: ICLR, NeurIPS, ICCV, AAAI
  • Workshop Reviewer: MKLM (@ IJCAI 2025), iMIMIC (@ MICCAI 2025)
  • Conference Volunteer: AAAI 2025

Invited Talks