Zi LI

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Algorithm Engineer, Medical AI Lab
Alibaba DAMO Academy, Hangzhou

Email: alisonbrielee at gmail dot com; lizi.li.eee@connect.hku.hk

Biography

I am a PhD candidate at the University of Hong Kong. Before that, I was an algorithm engineer at Alibaba DAMO Academy. I received the B.E. and M.S.E. degrees at Dalian University of Technology (DLUT), China. My research interests encompass a diverse range of topics within the field of medical artificial intelligence, with a focus on registration, segmentation, and vision-language pre-training & foundation models.

News

• [06/2025] Our study on Rapid and Accurate Warning of Acute Aortic Syndrome is accepted by Nature Medicine (IF=58.7).

• [09/2024] The repository for Awesome Medical Image Registration has been created.

• [02/2024] Co-organized the OncoReg: Medical Image Registration for Oncological Challenges.

• [10/2023] Ranked 1^st place in the MICCAI Learn2Reg 2023 medical image registration challenge (with Tony Mok).

Selected Publications (* Equal contribution)

• UniReg: Foundation Model for Controllable Medical Image Registration
  Zi Li, Jianpeng Zhang, Tai Ma, Tony C. W. Mok, Yan-Jie Zhou, Zeli Chen, Xianghua Ye, Le Lu, Dakai Jin
  Arxiv , 2025.
  [arXiv]

• SAME++: A medical image registration framework enhanced via self-supervised anatomical embeddings
  Lin Tian*, Zi Li*, Fengze Liu, Xiaoyu Bai, Jia Ge, Le Lu, Marc Niethammer, Xianghua Ye, Ke Yan, Dakai Jin
  IEEE Transactions on Image Processing (TIP) (Major Revision), 2025.
  [arXiv] [code]

• Leveraging Semantic Asymmetry for Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
  Zi Li*, Ying Chen*, Zeli Chen, Yanzhou Su, Tai Ma, Tony C. W. Mok, Yan-Jie Zhou, Yunhai Bai, Zhilin Zheng, Le Lu, Yirui Wang, Jia Ge, Xianghua Ye, Senxiang Yan, Dakai Jin
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.
  [arXiv]

• Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
  Tony Mok*, Zi Li*, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Highlight acc. rate of 2.8%) , 2024.
  [arXiv]

• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
  Zi Li*, Lin Tian*, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
  [arXiv] [code]

• Automated learning for deformable medical image registration by jointly optimizing network architectures and objective functions
  Xin Fan*, Zi Li*, Ziyang Li, Xiaolin Wang, Risheng Liu, Zhongxuan Luo, Hao Huang
  IEEE Transactions on Image Processing (TIP), 2023.
  [arXiv] [code]

• Learning Deformable Image Registration from Optimization: Perspective, Modules, Bilevel Training and Beyond
  Risheng Liu, Zi Li, Xin Fan, Chenying Zhao, Hao Huang, Zhongxuan Luo
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (IF=24.3), 2021.
  [arXiv] [code]

Selected Awards

• Postgraduate Scholarship of University of Hong Kong, 2025

• Learn2Reg: 2023 MICCAI Registration Challenge 1st place winner, 2023

• MICCAI Student Participation Award, 2021

• Excellent Master Dissertation Award of Liaoning Province, 2022 [Slide-CN] [Slide-EN]

• National Scholarship (Top 0.2%), 2021

• DLUT Academic Star (Top 10/20000+), 2021

Activities as Reviewer