Zhichen Zeng

me.jpg

Room 1119

201 N. Goodwin Ave.

Urbana, IL, 61801

I’m a CS Ph.D. candidate at the University of Illinois Urbana-Champaign and a member of the IDEA LAB@UIUC led by Prof. Hanghang Tong. Before that, I obtained my M.S. in Computer Science degree from the University of Illinois Urbana-Champaign and B.Eng. in Automation from Zhejiang University.

My research centers on graph machine learning, generative AI, and trustworthy machine learning. If you are interested in my research, feel free to reach out to me via zhichenz@illinois.edu.

news

May, 2024 One paper has been accepted to KDD 2024.
May, 2024 Three papers have been accepted to ICML 2024.
May, 2024 I'll join Meta as a Research Scientist Intern this summer.
Jan, 2024 Two papers have been accepted to WWW 2024.
Dec, 2023 One paper has been accepted to AAAI 2024.
Dec, 2023 I'll serve as reviewers for ICML 2024 and IJCAI 2024.
Sep, 2023 I’ll serve as reviewers for ICLR 2024, WWW 2024 and AAAI24.
May, 2023 I’ll serve as a reviewer for NeurIPS 2023.
Apr, 2023 One paper has been accepted to ICML 2023.
Jan, 2023 One paper has been accepted to WWW 2023.

publications

2024

  1. KDD 2024
    AIM: Attributing, Interpreting, Mitigating Data-encoded Unfairness
    Zhining Liu, Ruizhong Qiu, Zhichen Zeng, and 3 more authors
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
  2. ICML 2024
    Graph Mixup on Approximate Gromov–Wasserstein Geodesics
    Zhichen Zeng, Ruizhong Qiu, Zhe Xu, and 6 more authors
    In Proceedings of the 41st International Conference on Machine Learning, 2024
  3. ICML 2024
    Class-Imbalanced Graph Learning without Class Rebalancing
    Zhining Liu, Ruizhong Qiu, Zhichen Zeng, and 7 more authors
    In Proceedings of the 41st International Conference on Machine Learning, 2024
  4. ICML 2024
    SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
    Haobo Xu, Yuchen Yan, Dingsu Wang, and 5 more authors
    In Proceedings of the 41st International Conference on Machine Learning, 2024
  5. AAAI 2024
    Hierarchical Multi-Marginal Optimal Transport for Network Alignment
    Zhichen Zeng, Boxin Du, Si Zhang, and 3 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2024
    PDF Code
  6. WWW 2024
    PACER: Network Embedding From Positional to Structural
    Yuchen Yan, Yongyi Hu, Qinghai Zhou, and 7 more authors
    In Proceedings of the ACM Web Conference 2024, 2024
  7. WWW 2024
    Ensuring User-side Fairness in Dynamic Recommender Systems
    Hyunsik Yoo, Zhichen Zeng, Jian Kang, and 7 more authors
    In Proceedings of the ACM Web Conference 2024, 2024
    PDF

2023

  1. WWW 2023
    PARROT: Position-Aware Regularized Optimal Transport for Network Alignment
    Zhichen Zeng, Si Zhang, Yinglong Xia, and 1 more author
    In Proceedings of the ACM Web Conference 2023, 2023
    PDF Code
  2. ICML 2023
    Generative Graph Dictionary Learning
    Zhichen Zeng, Ruike Zhu, Yinglong Xia, and 2 more authors
    In Proceedings of the 40th International Conference on Machine Learning, 2023
    PDF Code