| Better Diffusion Models Further Improve Adversarial Training Z Wang, T Pang, C Du, M Lin, W Liu, S Yan International Conference on Machine Learning (ICML 2023), 2023 | 102 | 2023 |
| On the Tradeoff Between Robustness and Fairness X Ma, Z Wang, W Liu Annual Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 29 | 2022 |
| Robustness Verification for Contrastive Learning Z Wang, W Liu International Conference on Machine Learning (ICML 2022, Long Presentation …, 2022 | 18 | 2022 |
| Deep learning for non-parameterized MEMS structural design R Guo, F Sui, W Yue, Z Wang, S Pala, K Li, R Xu, L Lin Microsystems & Nanoengineering 8 (1), 91, 2022 | 17 | 2022 |
| MetaWeighting: Learning to Weight Tasks in Multi-Task Learning Y Mao, Z Wang, W Liu, X Lin, P Xie Findings of the Association for Computational Linguistics (ACL 2022), 3436-3448, 2022 | 16 | 2022 |
| BanditMTL: Bandit-based Multi-task Learning for Text Classification Y Mao, Z Wang, W Liu, X Lin, W Hu Annual Meeting of the Association for Computational Linguistics (ACL 2021 …, 2021 | 14 | 2021 |
| Accelerating Mems Design Process Through Machine Learning from Pixelated Binary Images R Guo, R Xu, Z Wang, F Sui, L Lin International Conference on Micro Electro Mechanical Systems (MEMS 2021 …, 2021 | 14 | 2021 |
| Task Variance Regularized Multi-Task Learning Y Mao, Z Wang, W Liu, X Lin, W Hu IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 | 3 | 2022 |
| DRF: Improving Certified Robustness via Distributional Robustness Framework Z Wang, Z Zhou, W Liu AAAI Conference on Artificial Intelligence (AAAI 2024) 38 (14), 15752-15760, 2024 | 1 | 2024 |
| RVCL: Evaluating the Robustness of Contrastive Learning via Verification Z Wang, W Liu Journal of Machine Learning Research (JMLR) 24 (396), 1-43, 2023 | 1 | 2023 |
Weiwei Liu(刘威威)Professor, School of Computer Science, Wuhan University, ChinaVerified email at whu.edu.cn
