Zhichen Zeng

figure_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

Nov, 2024 One paper has been accepted by KDD 2025.
Sept, 2024 One paper has been accepted by NeurIPS 2024.
May, 2024 One paper has been accepted by KDD 2024.
May, 2024 Three papers have been accepted by ICML 2024.
May, 2024 I'll join Meta as a Research Scientist Intern this summer.
Jan, 2024 Two papers have been accepted by WWW 2024.
Dec, 2023 One paper has been accepted by AAAI 2024.
Apr, 2023 One paper has been accepted by ICML 2023.
Jan, 2023 One paper has been accepted by WWW 2023.

publications

Preprint

  1. Preprint
    InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
    Zhichen Zeng, Xiaolong Liu, Mengyue Hang, and more authors
    Preprint
    PDF Code
  2. Preprint
    A Collaborative Ensemble Framework for CTR Prediction
    Xiaolong Liu, Zhichen Zeng, Xiaoyi Liu, and more authors
    Preprint
    PDF Code
  3. Preprint
    AdaRC: Mitigating Graph Structure Shifts during Test-Time
    Wenxuan Bao, Zhichen Zeng, Zhining Liu, and more authors
    Preprint
    PDF Code
  4. Preprint
    WAPITI: A Watermark for Finetuned Open-Source LLMs
    Lingjie Chen, Ruizhong Qiu, Siyu Yuan, and more authors
    Preprint
    PDF Code

    5. 2024

    1. KDD 2025
      ResMoE: Space-efficient MoE Module Approximation via Wasserstein Barycenter and Residual Restoration
      Mengting Ai, Tianxin Wei, Yifan Chen, and more authors
      In KDD 2025
      PDF Code
    2. NIPS 2024
      Discrete-state Continuous-time Diffusion for Graph Generation
      Zhe Xu, Ruizhong Qiu, Yuzhong Chen, and more authors
      In NeurIPS 2024
      PDF Code
    3. KDD 2024
      AIM: Attributing, Interpreting, Mitigating Data-encoded Unfairness
      Zhining Liu, Ruizhong Qiu, Zhichen Zeng, and more authors
      In KDD 2024
      PDF Code
    4. ICML 2024
      Graph Mixup on Approximate Gromov–Wasserstein Geodesics
      Zhichen Zeng, Ruizhong Qiu, Zhe Xu, and more authors
      In ICML 2024
      PDF Code
    5. ICML 2024
      Class-Imbalanced Graph Learning without Class Rebalancing
      Zhining Liu, Ruizhong Qiu, Zhichen Zeng, and more authors
      In ICML 2024
      PDF Code
    6. ICML 2024
      SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
      Haobo Xu, Yuchen Yan, Dingsu Wang, and more authors
      In ICML 2024
      PDF Code
    7. AAAI 2024
      Hierarchical Multi-Marginal Optimal Transport for Network Alignment
      Zhichen Zeng, Boxin Du, Si Zhang, and more authors
      In AAAI 2024
      PDF Code
    8. WWW 2024
      PACER: Network Embedding From Positional to Structural
      Yuchen Yan, Yongyi Hu, Qinghai Zhou, and more authors
      In theWebConf 2024
      PDF
    9. WWW 2024
      Ensuring User-side Fairness in Dynamic Recommender Systems
      Hyunsik Yoo, Zhichen Zeng, Jian Kang, and more authors
      In theWebConf 2024
      PDF Code

    2023

    1. WWW 2023
      PARROT: Position-Aware Regularized Optimal Transport for Network Alignment
      Zhichen Zeng, Si Zhang, Yinglong Xia, and more author
      In theWebConf 2023
      PDF Code
    2. ICML 2023
      Generative Graph Dictionary Learning
      Zhichen Zeng, Ruike Zhu, Yinglong Xia, and more authors
      In ICML 2023
      PDF Code