Topology-aware Generalization of Decentralized SGD T Zhu, F He, L Zhang, Z Niu, M Song, D Tao International Conference on Machine Learning (ICML), 2022, 2022 | 31 | 2022 |
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization K Chen, S Liu, T Zhu, J Qiao, Y Su, Y Tian, T Zheng, H Zhang, Z Feng, ... ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023, 2023 | 11 | 2023 |
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent T Zhu, F He, K Chen, M Song, D Tao International Conference on Machine Learning (ICML), 2023, 2023 | 9 | 2023 |
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition S Liu, Y Zhou, J Song, T Zheng, K Chen, T Zhu, Z Feng, M Song AAAI Conference on Artificial Intelligence (AAAI), 2023, 2023 | 8 | 2023 |
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket Y Wang, S Liu, K Chen, T Zhu, J Qiao, M Shi, Y Wan, M Song European Conference on Artificial Intelligence (ECAI), 2023, 2023 | 5 | 2023 |
Lookaround Optimizer: Steps Around, 1 Step Average J Zhang, S Liu, J Song, T Zhu, Z Xu, M Song Advances in Neural Information Processing Systems (NeurIPS), 2023, 2024 | 4 | 2024 |
Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations X Jiang, T Zhu, C Wang, Y Xu, F He arXiv preprint arXiv:2406.09189, 2024 | | 2024 |
Imagining a Democratic, Affordable Future of Foundation Models: A Decentralised Avenue F He, L Nan, T Zhu Handbook of Blockchain Analytics, Springer, 2024 | | 2024 |