Zi LI

scholar | openreview | twitter | github | resume

IEEE Student Member
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

• [09/2025] 国家自然科学基金面上项目，82573722，多模态配准和分层分割技术提⾼⾷管癌在增强CT中临床分期准确性的研究， 2026.01-2029.12，在研，参与。

• [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, # Corresponding author)

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

• 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]

• Outstanding Graduates of Liaoning Province, 2022

• National Scholarship (Top 0.2%), 2021

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

Teaching

Activities as Reviewer