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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.

My research interests are currently centered on Machine Learning, Computer Vision, and AI for Science . More specifically, I am dedicated to developing data-efficient learning methods for real-world applications across vision, chemistry, and materials science.

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. 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



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