Zisen Kong

Zisen Kong | 孔子森

Ph.D. Student

Institute of Information Science, Beijing Jiaotong University

Research Interests

  • Multi-view Clustering and its application
  • Tensor Decomposition
  • Incremental Learning / Causal Inference

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👋 Hi! I received my B.S. degree from Tianjin University of Commerce in 2021. Currently, I am pursuing my Ph.D. at Beijing Jiaotong University, advised by Prof. Dongxia Chang. My research interests primarily lie in multi-view clustering, specifically focusing on tensorized consensus learning and anchor-based methods.

Actively seeking collaborators! If you are interested in my work, please feel free to contact me via email: zskong@bjtu.edu.cn.

🌍 Open Source & Community

Multi-view Benchmark Datasets Public Dataset

To facilitate research and promote cooperation within the community, we have established and made publicly available a comprehensive benchmark dataset collection covering multi-view learning. This resource library provides details and original sources of multi-view datasets, with sample sizes ranging from 124 to 152,549.

Access Repository Star Project

🚀 Research Thrust

My research focuses on reliable representation learning for heterogeneous, incomplete, and evolving data, with an emphasis on scalable multi-view learning, tensor modeling, causal reasoning, and continual learning.

Multi-view Representation Learning

Learning robust consensus representations from complementary and incomplete views.

Large-scale Anchor Learning

Building efficient anchor-based models for scalable clustering and alignment.

Tensor methods and optimization diagram

Tensor Methods and Optimization

Modeling high-order correlations through tensor ranks and efficient optimization.

Causal inference and continual learning diagram

Causal Inference and Continual Learning

Learning stable representations under causal shifts and continual updates.

🔥 News

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📄 Publications

(* means equal contribution / # means corresponding author)

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Journal Articles

Conference Papers

🏆 Honors & Awards

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💼 Academic Service

Conference Reviewer PC Member

NeurIPS : 2024-2025 CCF-A
CVPR: 2024–2026 CCF-A
AAAI: 2024–2027 CCF-A
ACM MM: 2025, 2026 CCF-A
ECCV: 2026 CCF-A
ICMR: 2026 CCF-B

* Served as a Program Committee (PC) or invited reviewer for the above venues.

Journal Reviewer Reviewer

Regular Reviewer for prestigious journals:

  • IEEE Transactions on Image Processing (TIP)
    CCF-A JCR-Q1
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
    CCF-A JCR-Q1
  • IEEE Transactions on Multimedia (TMM)
    CCF-A JCR-Q1
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    CCF-B JCR-Q1
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    CCF-B JCR-Q1
  • Pattern Recognition (PR)
    CCF-B JCR-Q1
  • Neural Networks (NN)
    CCF-B JCR-Q1
  • Data Mining and Knowledge Discovery (DMKD)
    CCF-B JCR-Q3
  • Applied Soft Computing (ASOC)
    CCF-N JCR-Q1
  • Engineering Applications of Artificial Intelligence(EAAI)
    CCF-C JCR-Q1
  • Knowledge-Based Systems(KBS)
    CCF-C JCR-Q1
  • Neurocomputing
    CCF-C JCR-Q2
  • International Journal of Machine Learning and Cybernetics
    CCF-C JCR-Q3
  • Discover Computing
    CCF-C JCR-Q3
  • Scientific Reports
    CCF-N JCR-Q1

🎓 Education

Ph.D. in Information and Communication Engineering

Beijing Jiaotong University

2021 - Present

Research: Multi-view Learning, Tensor Decomposition

B.S. in Mathematics

Tianjin University of Commerce

2017 - 2021

Outstanding graduate, with training in fundamental algorithms and optimization theory.

📬 Contact

Contact Information

  • zskong@bjtu.edu.cn & kongzisen@gmail.com
  • No.3, Shangyuan Village, Haidian District, Beijing Jiaotong University, Beijing, China