Publications

My current research focuses on examining the theoretical foundations of decentralized learning. Please refer to my publicatios below.

2025

  1. TMLR 2025
    Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations
    Xuelian Jiang, Tongtian Zhu, Can Wang, Yingxiang Xu, and Fengxiang He
    In Transactions on Machine Learning Research, 2025
  2. ICLR 2025
    DICE: Data Influence Cascade in Decentralized Learning
    Tongtian Zhu, Wenhao Li, Can Wang, and Fengxiang He
    In International Conference on Learning Representations, 2025

2024

    2023

    1. ICML 2023
      Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
      Tongtian ZhuFengxiang HeKaixuan Chen, Mingli Song, and Dacheng Tao
      In Proceedings of the 40th International Conference on Machine Learning, 2023
    2. AAAI 2023 (Oral)
      Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
      Shunyu LiuYihe ZhouJie SongTongya ZhengKaixuan ChenTongtian ZhuZunlei Feng, and Mingli Song
      In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023
    3. KDD 2023
      Improving Expressivity of GNNs with Subgraph-Specific Factor Embedded Normalization
      Kaixuan ChenShunyu LiuTongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, and 3 more authors
      In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
    4. ECAI 2023
      Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket
      Yuwen Wang, Shunyu LiuKaixuan ChenTongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, and Mingli Song
      In European Conference on Artificial Intelligence, 2023

    2022

    1. ICML 2022 (Spotlight)
      Topology-aware Generalization of Decentralized SGD
      Tongtian ZhuFengxiang HeLan ZhangZhengyang Niu, Mingli Song, and Dacheng Tao
      In Proceedings of the 39th International Conference on Machine Learning, 2022