| Faster adaptive federated learning X Wu, F Huang, Z Hu, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10379 …, 2023 | 33 | 2023 |
| Adagda: Faster adaptive gradient descent ascent methods for minimax optimization F Huang, X Wu, Z Hu International Conference on Artificial Intelligence and Statistics, 2365-2389, 2023 | 16 | 2023 |
| On the random conjugate kernel and neural tangent kernel Z Hu, H Huang International Conference on Machine Learning, 4359-4368, 2021 | 12 | 2021 |
| Decentralized riemannian algorithm for nonconvex minimax problems X Wu, Z Hu, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10370 …, 2023 | 10 | 2023 |
| Serverless federated auprc optimization for multi-party collaborative imbalanced data mining X Wu, Z Hu, J Pei, H Huang Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023 | 9 | 2023 |
| Fast and scalable adversarial training of kernel SVM via doubly stochastic gradients H Wu, Z Hu, B Gu Proceedings of the AAAI conference on artificial intelligence 35 (12), 10329 …, 2021 | 8 | 2021 |
| Solving a class of non-convex minimax optimization in federated learning X Wu, J Sun, Z Hu, A Zhang, H Huang Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Federated conditional stochastic optimization X Wu, J Sun, Z Hu, J Li, A Zhang, H Huang Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Optimal underdamped Langevin MCMC method Z Hu, F Huang, H Huang Advances in Neural Information Processing Systems 34, 19363-19374, 2021 | 6 | 2021 |
| Tighter analysis for ProxSkip Z Hu, H Huang International Conference on Machine Learning, 13469-13496, 2023 | 3 | 2023 |
| Optimization and Bayes: A Trade-off for Overparameterized Neural Networks Z Hu, H Huang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Beyond Lipschitz smoothness: a tighter analysis for nonconvex optimization Z Hu, X Wu, H Huang International Conference on Machine Learning, 13652-13678, 2023 | | 2023 |
| A New Framework for Variance-Reduced Hamiltonian Monte Carlo Z Hu, F Huang, H Huang arXiv preprint arXiv:2102.04613, 2021 | | 2021 |
