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Zekun Li (李泽昆)

Ph.D.
Nanjing University
lizekun (at) smail.nju.edu.cn


About Me

I received my Ph.D. and B.Sc. degrees from School of Computer Science, Nanjing University in 2026 and 2020, respectively. I was extremely fortunate to be advised by Prof. Yinghuan Shi and was a member of the Reasoning and Learning (R&L) Research Group led by Prof. Yang Gao.

Starting from April 2026, I will join Nanjing Normal University as a Lecturer, fortunately working with Prof. Wanqi Yang.

Publications

  1. Diffusion-Based Data Augmentation for Image Recognition: A Systematic Analysis and Evaluation
    Zekun Li, Yinghuan Shi, Yang Gao, Dong Xu
    International Journal of Computer Vision (IJCV), Volume 134, 2026.
    Paper Code

  2. Open-Domain Semi-Supervised Learning via Glocal Cluster Structure Exploitation
    Zekun Li, Lei Qi, Yawen Li, Yinghuan Shi, Yang Gao
    IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 36, Issue 8, August 2024.
    Paper Code

  3. IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
    Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
    Paper Code Poster Slides   Oral Presentation (152/8260=1.8%)

  4. A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
    Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen
    Medical Image Analysis (MedIA), Volume 69, 2021.
    Paper

  5. Correspondence as Video Test-Time Adaption on SAM2 for Reference Segmentation in the Wild
    Haoran Wang, Zekun Li, Jian Zhang, Lei Qi, Yinghuan Shi.
    IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
    Paper Code

  6. Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
    You Wang, Zekun Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao
    IEEE Transactions on Medical Imaging (TMI), Volume 44, Issue 7, July 2025.
    Paper Code

  7. Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
    Maochen Yang, Zekun Li, Jian Zhang, Lei Qi, Yinghuan Shi
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    Paper Code

  8. Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
    Qinghe Ma, Jian Zhang, Zekun Li, Lei Qi, Qian Yu, Yinghuan Shi
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    Paper Code

  9. 基于可泛化模型的复杂商务场景数据分析
    史颖欢, 郭金涛, 李泽昆, 祁磊, 高阳
    中国科学基金, 2024年第38卷第5期.
    Paper

Experience

Education

Intern / Visiting

Honors



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