Zi LI
scholar | openreview | twitter | github | resume
Algorithm Engineer, Medical AI Lab
Alibaba DAMO Academy, Hangzhou
Email: alisonbrielee at gmail dot com
scholar | openreview | twitter | github | resume
Algorithm Engineer, Medical AI Lab
Alibaba DAMO Academy, Hangzhou
Email: alisonbrielee at gmail dot com
I am a researcher at Alibaba DAMO Academy. Before that, 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.
[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 1st place in the MICCAI Learn2Reg 2023 medical image registration challenge (with Tony Mok).
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, Zhinlin Zheng, Le Lu, Yirui Wang, Jia Ge, Xianghua Ye, Senxiang Yan, Dakai Jin
Arxiv , 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]
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), 2021.
[arXiv] [code]
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
IEEE Transactions on Pattern Analysis and Machine Intelligence | |
IEEE Transactions on Neural Networks and Learning Systems | |
IEEE Transactions on Medical Imaging | |
IEEE Journal of Biomedical and Health Informatics | |
IEEE Transactions on Biomedical Engineering | |
Neurocomputing | |
CVPR | 2024-2025 |
ICCV | 2023-2025 |
MICCAI | 2022-2025 |
AAAI | 2024-2025 |
MIDL | 2022-2025 |
WACV | 2025 |