| Defending Against Adversarial Attacks via Neural Dynamic System X Li, X Zou, W Liu Advances in Neural Information Processing Systems, 2022 | 23 | 2022 |
| Generalization Bounds for Adversarial Contrastive Learning X Zou, W Liu Journal of Machine Learning Research 24, 1-54, 2023 | 14 | 2023 |
| On the Adversarial Robustness of Out-of-distribution Generalization Models X Zou, W Liu Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| A Provable Decision Rule for Out-of-Distribution Detection X Ma, X Zou, W Liu Forty-first International Conference on Machine Learning, 2024 | 3 | 2024 |
| Residual network with self-adaptive time step size X Li, X Zou, W Liu Pattern Recognition 158, 111008, 2025 | 2 | 2025 |
| Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data X Zou, W Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17263 …, 2024 | 1 | 2024 |
| A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers X Zou, Z Zhou, J Xu, W Liu The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
Weiwei Liu(刘威威)Professor, School of Computer Science, Wuhan University, ChinaVerified email at whu.edu.cn