| Stability analysis and generalization bounds of adversarial training J Xiao, Y Fan, R Sun, J Wang, ZQ Luo NeurIPS 2022, Spotlight, 2022 | 42 | 2022 |
| Adversarial rademacher complexity of deep neural networks J Xiao, Y Fan, R Sun, ZQ Luo arXiv preprint arXiv:2211.14966, 2022 | 19 | 2022 |
| Understanding adversarial robustness against on-manifold adversarial examples J Xiao, L Yang, Y Fan, J Wang, ZQ Luo Pattern Recognition 159, 111071, 2022 | 14 | 2022 |
| PAC-bayesian spectrally-normalized bounds for adversarially robust generalization J Xiao, R Sun, ZQ Luo NeurIPS 2023, 2023 | 10 | 2023 |
| Improving Adversarial Training for Multiple Perturbations through the Lens of Uniform Stability J Xiao, Z Qin, Y Fan, B Wu, J Wang, ZQ Luo ICML 2023 AdvML-Frontiers Workshop, 2023 | 10* | 2023 |
| On the algorithmic bias of aligning large language models with rlhf: Preference collapse and matching regularization J Xiao, Z Li, X Xie, E Getzen, C Fang, Q Long, WJ Su arXiv preprint arXiv:2405.16455, 2024 | 8 | 2024 |
| Smoothed-sgdmax: A stability-inspired algorithm to improve adversarial generalization J Xiao, J Zhang, ZQ Luo, AE Ozdaglar NeurIPS 2022 ML Safety Workshop, 2022 | 7 | 2022 |
| Pac-bayesian adversarially robust generalization bounds for deep neural networks J Xiao, R Sun, ZQ Luo The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023 | 5 | 2023 |
| Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity Z Li, C Chen, T Xu, Z Qin, J Xiao, R Sun, ZQ Luo ICLR 2025, 2024 | 4* | 2024 |
| Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization J Xiao, R Sun, Q Long, WJ Su COLT 2024, 2024 | 4* | 2024 |
| Uniformly Stable Algorithms for Adversarial Training and Beyond J Xiao, J Zhang, ZQ Luo, A Ozdaglar ICML 2024, 2024 | 3 | 2024 |
| Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic R Jin, B Hou, J Xiao, WJ Su, L Shen ICLR 2025, 2024 | 3* | 2024 |
| Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment M Wang, C Ma, Q Chen, L Meng, Y Han, J Xiao, Z Zhang, J Huo, WJ Su, ... arXiv preprint arXiv:2410.16714, 2024 | | 2024 |
| Magnetic Mirror Descent Self-play Preference Optimization M Wang, C Ma, Q Chen, L Meng, Y Han, J Xiao, Z Zhang, J Huo, WJ Su, ... ICLR 2025, 2024 | | 2024 |
| Understanding Adversarially Robust Generalization: A Learning Theory Perspective J Xiao The Chinese University of Hong Kong, Shenzhen, 2023 | | 2023 |
Zhi-Quan LuoProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaVerifisert e-postadresse på cuhk.edu.cn