I am a Master’s graduate student at the College of Computer Science and Artificial Intelligence, Zhengzhou University. My research focuses on information bottleneck and multi-view clustering, with recent work extending into single-cell RNA-seq data analysis. I look forward to engaging in academic exchanges with those who share similar research interests. You can reach me via email at iefshan@gs.zzu.edu.cn.
My research interests include:
- Information Bottleneck Theory
- Multi-view Clustering
- Self-supervised Learning
- Single-cell RNA-seq Analysis
🔥 News
- 2026.02: 🎉🎉 Our paper on masked information bottleneck for scRNA-seq clustering has been accepted by BMC Biology.
- 2025.08: 🎉🎉 Our paper on progressive information bottleneck for incremental multi-view clustering has been accepted by IEEE TCSS.
- 2024.07: 🎉🎉 Our paper on differentiable information bottleneck for multi-view clustering has been accepted by CVPR 2024.
📝 Publications
Differentiable Information Bottleneck for Deterministic Multi-view Clustering
Xiaoqiang Yan, Zhixiang Jin, Fengshou Han, Yangdong Ye
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Compact and Informative Representation Learning for scRNA-seq Data Clustering with Masked Information Bottleneck
Xiaoqiang Yan, Fengshou Han, Yushan Wu, Zhenyu Tian
BMC Biology, 2026
A Stitch in Time Saves Nine: Progressive Information Bottleneck for Incremental Multiview Clustering
Xiaoqiang Yan, Fengshou Han, Yuxuan Mao, Zhenyu Tian, Witold Pedrycz, Hui Yu
IEEE Transactions on Computational Social Systems (TCSS), 2025
🎖 Honors and Awards
📖 Educations
- 2023.09 - Present, M.S. in Computer Science, Zhengzhou University.
- 2019.09 - 2023.06, B.S. in Computer Science, Henan University of Science and Technology.