Zhe (Jack) Xu

Ph.D. Candidate

The Chinese University of Hong Kong

Email: jackxz@link.cuhk.edu.hk

Hong Kong / Boston

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I am a final-year Ph.D. candidate at The Chinese University of Hong Kong, supervised by Prof. Raymond Tong (AIMBE Fellow). I was also co-trained at Center for Advanced Medical Computing and Analysis (CAMCA), Harvard Medical School/Massachusetts General Hospital, working with Prof. Quanzheng Li. I obtained my M.S. in Computer Science at Tsinghua University in 2021, supervised by Prof. Xiu Li (joint training at SPL, Brigham and Women's Hospital, Harvard Medical School, working closely with Prof. Jayender Jagadeesan and Prof. Sandy Wells), and a B.Eng in Electronic Engineering and B.Sc in Management from UESTC in 2018. I was a research scientist intern at YouTu Lab@Tencent, working with Dr. Yefeng Zheng (AIMBE&IEEE Fellow) from 2020 to 2025. I'm a recipient of the Hong Kong PhD Fellowship (HKPFS).

My research lies at advancing medical image analysis with AI to achieve affordable, robust, trustworthy and deployable medical decision-making, with particular focus on:

  • Learning under various imperfect data scenarios (e.g., label/data scarcity, noise, heterogeneity and ever-changing data)
  • Multi-modality representation learning and decision making
  • Human-centric personalized and structured analysis powered by LLM-based AI agents
  • Reliable multimodal health insights and prediction models for general population

    • News and Highlights

    • [01/2025] Invited to serve as Area Chair for MICCAI 2025 (Daejeon, Korea)!

    • [12/2024] Our label-efficient abnormality detection and report generation accepted by IEEE TMI! Congrats to Jinghan!

    • [10/2024] Glad to be awarded as a IEEE TMI Distinguished Reviewer (Gold Level)!

    • [09/2024] Our Scalable Multi-modal Medical Agent (MMedAgent) was accepted by EMNLP 2024! [Media Press]

    • [09/2024] Survey on continual learning in MIA (PaperList) accepted by Computers in Biology and Medicine (IF=7)!

    • [09/2024] Glad to be in MICCAI'24 Best Paper and Young Scientist Award finalist (in a row)!

    • [06/2024] 2 papers on label-efficient and foundation model accepted by MICCAI 2024 (1 Oral (3%)). See you in Morocco!

    • [05/2024] Glad to be supported by Overseas Research Attachment Programme (CUHK Eng, 12 awardees per year)!

    • [02/2024] D-Persona on multi-rater segmentation accepted by CVPR 2024 with Highlight (2.8%)! Congrats to Yicheng!

    • [02/2024] Our trustworthy radiology report generation accepted by Neurocomputing (IF=6.0)! Congrats to Yixin!

    • [01/2024] Our SCL for MS-SSL was accepted by Medical Image Analysis (IF=10.9)!

    • [12/2023] Moved to Boston, USA and joined CAMCA, MGH/Harvard Medical School as a visiting PhD student!

    • [10/2023] Glad to be awarded as a IEEE TMI Distinguished Reviewer (Gold Level)!

    • [10/2023] Glad to be in MICCAI'23 Best Paper and Young Scientist Award finalist (Top 25 out of 730 accepted papers)!

    • [07/2023] Glad to receive MICCAI STAR Award (aka. Travel Award)!

    • [06/2023] Our MTCL is part of tutorial in DLMA'23 summer camp of TUM (hosted by Prof. Nassir Navab)!

    • [06/2023] Our AC-MT for SSL was accepted by Medical Image Analysis (IF=10.9)!

    • [06/2023] 4 papers on label-efficient/multimodal learning accepted by MICCAI 2023 (2 early accept(14%), 1 oral(3%))!

    • [05/2023] 1 mentoring paper on SFUDA was accepted by Computers in Biology and Medicine (IF=7.7)!

    • [03/2023] 1 paper on SSL accepted by EMBC 2023 (oral)!

    • [02/2023] ProtoSeg on active histopathology analysis was accepted by IPMI 2023 (oral)! Congrats to Jiangpeng, Wentao!

    • [10/2022] 1 joint paper Learn2Reg on DL-oriented multi-task image registration benchmark was accepted by IEEE TMI!

    • [07/2022] Passed the qualified exam towards a PhD candidate!

    • [06/2022] 2 joint papers on image registration and landmark error screening were accepted by MICCAI 2022 (~31%)!

    • [05/2022] Awarded Talent Development Scholarship on Innovation, science and technology from HK Gov!

    • [05/2022] Our MTCL for learning segmentation with noisy labels was accepted by IEEE TMI (IF=11.037)!

    • [05/2022] 2 papers on image registration and SFUDA early accepted by MICCAI 2022 (Top 13%)!

    • [03/2022] Our CPCL, a supervised-like semi-supervised segmentation, was accepted by IEEE J-BHI!

    • [01/2022] 1 paper on cross-domain few-shot learning accepted by ICASSP 2022. Congrats to Yixin!

    • [09/2021] Invited to give oral presentation at MICCAI Learn2Reg and contribute to the Challenge paper.

    • [06/2021] Awarded as Outstanding Graduate of Beijing; Thank you, THU and Harvard! Moving to Hong Kong!

    • [05/2021] 2 papers on noisy-label segmentation and WSI segmentation early accepted by MICCAI 2021 (Top 13%)!

    • [04/2021] Glad to be Hong Kong PhD Fellowship (HKPFS) Awardee!

    • [01/2021] 3 papers on image registration accepted by ISBI 2021, ICASSP 2021, and IJCARS

    • [10/2020] Awarded National Scholarship (for postgraduate) at Tsinghua

    • [06/2020] 1 paper on synthesis-based multimodal registration accepted by MICCAI 2020!

    • [09/2019] Moved to Boston, USA and joined SPL of Harvard

    • [06/2019] Our startup "CloudSpace: AI+design" won a Gold Award in the Greater Bay Area Entrepreneurship Competition