| Fedcm: Federated learning with client-level momentum J Xu, S Wang, L Wang, ACC Yao arXiv preprint arXiv:2106.10874, 2021 | 61 | 2021 |
| Faster gradient-free algorithms for nonsmooth nonconvex stochastic optimization L Chen, J Xu, L Luo International Conference on Machine Learning, 5219-5233, 2023 | 10 | 2023 |
| Quantifying the variability collapse of neural networks J Xu, H Liu International Conference on Machine Learning, 38535-38550, 2023 | 3 | 2023 |
| Bilevel Optimization without Lower-Level Strong Convexity from the Hyper-Objective Perspective L Chen, J Xu, J Zhang arXiv preprint arXiv:2301.00712, 2023 | 3 | 2023 |
| Towards data-algorithm dependent generalization: a case study on overparameterized linear regression J Xu, J Teng, Y Yuan, A Yao Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning J Xu, J Zhang ICML; arXiv preprint arXiv:2405.02596, 2024 | 1 | 2024 |
| When do Models Generalize? A Perspective from Data-Algorithm Compatibility J Xu, J Teng, Y Yuan, ACC Yao arXiv preprint arXiv:2202.06054, 2022 | 1 | 2022 |
