Publications

Preprint

  1. Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
    Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, and more authors
    Preprint
  2. Flow Matching Meets Biology and Life Science: A Survey
    Zihao Li*, Zhichen Zeng*, Xiao Lin*, and more authors
    Preprint
  3. Cats: Mitigating correlation shift for multivariate time series classification
    Xiao Lin, Zhichen Zeng, Tianxin Wei, and more authors
    Preprint
  4. PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment
    Qi Yu, Zhichen Zeng, Yuchen Yan, and more authors
    Preprint
  5. A Collaborative Ensemble Framework for CTR Prediction
    Xiaolong Liu, Zhichen Zeng, Xiaoyi Liu, and more authors
    Preprint
  6. THeGCN: Temporal Heterophilic Graph Convolutional Network
    Yuchen Yan, Yuzhong Chen, Huiyuan Chen, and more authors
    Preprint
  7. WAPITI: A Watermark for Finetuned Open-Source LLMs
    Lingjie Chen, Ruizhong Qiu, Siyu Yuan, and more authors
    Preprint
  8. 2025

    1. InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
      Zhichen Zeng*, Xiaolong Liu*, Mengyue Hang*, and more authors
      In CIKM 2025
    2. PyG-SSL: A Graph Self-Supervised Learning Toolkit
      Lecheng Zheng, Baoyu Jing, Zihao Li, and more authors
      In CIKM 2025
    3. Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
      Wenxuan Bao, Zhichen Zeng, Zhining Liu, and more authors
      In ICLR 2025
    4. Joint Optimal Transport and Embedding for Network Alignment
      Qi Yu*, Zhichen Zeng*, Yuchen Yan, and more authors
      In WWW 2025
    5. 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
    6. ResMoE: Space-efficient MoE Module Approximation via Wasserstein Barycenter and Residual Restoration
      Mengting Ai, Tianxin Wei, Yifan Chen, and more authors
      In KDD 2025
    7. 2024

      1. Discrete-state Continuous-time Diffusion for Graph Generation
        Zhe Xu, Ruizhong Qiu, Yuzhong Chen, and more authors
        In NeurIPS 2024
      2. AIM: Attributing, Interpreting, Mitigating Data-encoded Unfairness
        Zhining Liu, Ruizhong Qiu, Zhichen Zeng, and more authors
        In KDD2024
      3. Graph Mixup on Approximate Gromov–Wasserstein Geodesics
        Zhichen Zeng, Ruizhong Qiu, Zhe Xu, and more authors
        In ICML 2024
      4. Class-Imbalanced Graph Learning without Class Rebalancing
        Zhining Liu, Ruizhong Qiu, Zhichen Zeng, and more authors
        In ICML 2024
      5. SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
        Haobo Xu, Yuchen Yan, Dingsu Wang, and more authors
        In ICML 2024
      6. Hierarchical Multi-Marginal Optimal Transport for Network Alignment
        Zhichen Zeng, Boxin Du, Si Zhang, and more authors
        In AAAI 2024
      7. PACER: Network Embedding From Positional to Structural
        Yuchen Yan, Yongyi Hu, Qinghai Zhou, and more authors
        In theWebConf 2024
      8. Ensuring User-side Fairness in Dynamic Recommender Systems
        Hyunsik Yoo, Zhichen Zeng, Jian Kang, and more authors
        In theWebConf 2024

      2023

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