Topology-aware Generalization of Decentralized SGD. - Tongtian Zhu; Fengxiang He; Lan Zhang 002; Zhengyang Niu; Mingli Song; Dacheng Tao (ICML, 2022)

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. - Shunyu Liu 001; Yihe Zhou; Jie Song 011; Tongya Zheng; Kaixuan Chen 004; Tongtian Zhu; Zunlei Feng; Mingli Song (AAAI, 2023)

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets. - Yuwen Wang; Shunyu Liu 001; Kaixuan Chen 004; Tongtian Zhu; Ji Qiao; Mengjie Shi; Yuanyu Wan; Mingli Song (ECAI, 2023)

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. - Tongtian Zhu; Fengxiang He; Kaixuan Chen 004; Mingli Song; Dacheng Tao (ICML, 2023)

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. - Kaixuan Chen 004; Shunyu Liu 001; Tongtian Zhu; Ji Qiao; Yun Su; Yingjie Tian 002; Tongya Zheng; Haofei Zhang; Zunlei Feng; Jingwen Ye; Mingli Song (KDD, 2023)

Lookaround Optimizer: k steps around, 1 step average. - Jiangtao Zhang; Shunyu Liu 001; Jie Song 011; Tongtian Zhu; Zhengqi Xu; Mingli Song (NeurIPS, 2023)

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. - Kaixuan Chen 004; Shunyu Liu 001; Tongtian Zhu; Tongya Zheng; Haofei Zhang; Zunlei Feng; Jingwen Ye; Mingli Song (CoRR, 2023)

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket. - Yuwen Wang; Shunyu Liu 001; Kaixuan Chen 004; Tongtian Zhu; Ji Qiao; Mengjie Shi; Yuanyu Wan; Mingli Song (CoRR, 2023)

SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data. - Shuting Tao; Tongtian Zhu; Hongwei Wang 001; Xiangming Meng (IJCAI, 2024)

DICE: Data Influence Cascade in Decentralized Learning. - Tongtian Zhu; Wenhao Li; Can Wang 001; Fengxiang He (ICLR, 2025)

Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations. - Xuelian Jiang; Tongtian Zhu; Yingxiang Xu; Can Wang 001; Yeyu Zhang; Fengxiang He (Trans. Mach. Learn. Res., 2025)

A Single Merging Suffices: Recovering Server-based Learning Performance in Decentralized Learning. - Tongtian Zhu; Tianyu Zhang; Mingze Wang; Zhanpeng Zhou; Can Wang (CoRR, 2025)