| Subspace adversarial training T Li, Y Wu, S Chen, K Fang, X Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 53 | 2022 |
| Low dimensional trajectory hypothesis is true: Dnns can be trained in tiny subspaces T Li, L Tan, Z Huang, Q Tao, Y Liu, X Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3411-3420, 2022 | 27* | 2022 |
| Trainable weight averaging: Efficient training by optimizing historical solutions T Li, Z Huang, Q Tao, Y Wu, X Huang The Eleventh International Conference on Learning Representations, 2022 | 10* | 2022 |
| Towards robust neural networks via orthogonal diversity K Fang, Q Tao, Y Wu, T Li, J Cai, F Cai, X Huang, J Yang Pattern Recognition 149, 110281, 2024 | 8* | 2024 |
| Investigating catastrophic overfitting in fast adversarial training: a self-fitting perspective Z He, T Li, S Chen, X Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Efficient generalization improvement guided by random weight perturbation T Li, W Yan, Z Lei, Y Wu, K Fang, M Yang, X Huang arXiv preprint arXiv:2211.11489, 2022 | 2 | 2022 |
| On multi-head ensemble of smoothed classifiers for certified robustness K Fang, Q Tao, Y Wu, T Li, X Huang, J Yang arXiv preprint arXiv:2211.10882, 2022 | 2 | 2022 |
| Revisiting Random Weight Perturbation for Efficiently Improving Generalization T Li, Q Tao, W Yan, Z Lei, Y Wu, K Fang, M He, X Huang arXiv preprint arXiv:2404.00357, 2024 | 1 | 2024 |
| Friendly sharpness-aware minimization T Li, P Zhou, Z He, X Cheng, X Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Low-Dimensional Gradient Helps Out-of-Distribution Detection Y Wu, T Li, X Cheng, J Yang, X Huang arXiv preprint arXiv:2310.17163, 2023 | 1 | 2023 |
| Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information R Ding, T Li, X Huang Asian Conference on Machine Learning, 311-326, 2024 | | 2024 |
| Online Continual Learning via Logit Adjusted Softmax Z Huang, T Li, C Yuan, Y Wu, X Huang arXiv preprint arXiv:2311.06460, 2023 | | 2023 |
Xiaolin Huang (黄晓霖)Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
