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Zekun Li (李泽昆)

PhD Student
Nanjing University
lizekun (at) smail.nju.edu.cn


About Me

Currently, I am a PhD student of School of Computer Science, Nanjing University. I consider myself extremely fortunate to be pursuing my PhD degree under the supervision of Prof. Yinghuan Shi. I am also a member of the Reasoning and Learning Research Group led by Prof. Yang Gao. Prior to this, I obtained my bachelor’s degree from Nanjing University in 2020.

Publications

  1. 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

  2. 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%)

  3. 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

  4. 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.

  5. 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), 2025.
    Paper Code

  6. 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

  7. 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

  8. 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

Honors



Thanks to Yaoyao Liu for this homepage template.