Tongtian Zhu

According to our database, Tongtian Zhu authored at least 8 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket.

Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song

CoRR, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song

CoRR, 2023

Lookaround Optimizer: k steps around, 1 step average.

Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent.

Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao

Proceedings of the International Conference on Machine Learning, 2023

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets.

Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition.

Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Topology-aware Generalization of Decentralized SGD.

Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao

Proceedings of the International Conference on Machine Learning, 2022