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. If you are interested in my research, feel free to reach out to me via zhichenz@illinois.edu.

news

Jan, 2025 One paper accepted by ICLR 2025; Two papers accepted by WWW 2025.
Jan, 2025 I'll join Meta as a Research Scientist Intern this summer.
Nov, 2024 One paper accepted by KDD 2025.
Sept, 2024 One paper accepted by NeurIPS 2024.
May, 2024 Three papers accepted by ICML 2024; One paper accepted by KDD 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
    PyG-SSL: A Graph Self-Supervised Learning Toolkit
    Lecheng Zheng, Baoyu Jing, Zihao Li, and more authors
    Preprint
    PDF Code
  4. Preprint
    THeGCN: Temporal Heterophilic Graph Convolutional Network
    Yuchen Yan, Yuzhong Chen, Huiyuan Chen, and more authors
    Preprint
    PDF Code
  5. Preprint
    WAPITI: A Watermark for Finetuned Open-Source LLMs
    Lingjie Chen, Ruizhong Qiu, Siyu Yuan, and more authors
    Preprint
    PDF Code

    6. 2025

    1. ICLR 2025
      Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
      Wenxuan Bao, Zhichen Zeng, Zhining Liu, and more authors
      In ICLR 2025
      PDF Code
    2. WWW 2025
      Joint Optimal Transport and Embedding for Network Alignment
      Qi Yu*, Zhichen Zeng*, Yuchen Yan and more authors
      In WWW 2025
      PDF Code
    3. WWW 2025
      External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
      Mingfu Liang, Xi Liu, Rong Jin and more authors
      In WWW 2025
      PDF Code
    4. 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

      5. 2024

      1. NIPS 2024
        Discrete-state Continuous-time Diffusion for Graph Generation
        Zhe Xu, Ruizhong Qiu, Yuzhong Chen, and more authors
        In NeurIPS 2024
        PDF Code
      2. KDD 2024
        AIM: Attributing, Interpreting, Mitigating Data-encoded Unfairness
        Zhining Liu, Ruizhong Qiu, Zhichen Zeng, and more authors
        In KDD 2024
        PDF Code
      3. ICML 2024
        Graph Mixup on Approximate Gromov–Wasserstein Geodesics
        Zhichen Zeng, Ruizhong Qiu, Zhe Xu, and more authors
        In ICML 2024
        PDF Code
      4. ICML 2024
        Class-Imbalanced Graph Learning without Class Rebalancing
        Zhining Liu, Ruizhong Qiu, Zhichen Zeng, and more authors
        In ICML 2024
        PDF Code
      5. 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
      6. AAAI 2024
        Hierarchical Multi-Marginal Optimal Transport for Network Alignment
        Zhichen Zeng, Boxin Du, Si Zhang, and more authors
        In AAAI 2024
        PDF Code
      7. WWW 2024
        PACER: Network Embedding From Positional to Structural
        Yuchen Yan, Yongyi Hu, Qinghai Zhou, and more authors
        In theWebConf 2024
        PDF
      8. 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