Tongtian Zhu

Orcid: 0000-0002-5503-9290

According to our database1, Tongtian Zhu authored at least 12 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
A Single Merging Suffices: Recovering Server-based Learning Performance in Decentralized Learning.
CoRR, July, 2025

Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations.
Trans. Mach. Learn. Res., 2025

DICE: Data Influence Cascade in Decentralized Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket.
CoRR, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.
CoRR, 2023

Lookaround Optimizer: k steps around, 1 step average.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent.
Proceedings of the International Conference on Machine Learning, 2023

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Topology-aware Generalization of Decentralized SGD.
Proceedings of the International Conference on Machine Learning, 2022


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