| Theoretically principled trade-off between robustness and accuracy H Zhang, Y Yu, J Jiao, E Xing, L El Ghaoui, M Jordan International conference on machine learning, 7472-7482, 2019 | 2912 | 2019 |
| A closer look at accuracy vs. robustness YY Yang, C Rashtchian, H Zhang, R Salakhutdinov, K Chaudhuri | 355 | 2020 |
| On the applications of robust PCA in image and video processing T Bouwmans, S Javed, H Zhang, Z Lin, R Otazo Proceedings of the IEEE 106 (8), 1427-1457, 2018 | 292 | 2018 |
| Self-adaptive training: beyond empirical risk minimization L Huang, C Zhang, H Zhang Advances in neural information processing systems 33, 19365-19376, 2020 | 253 | 2020 |
| Learning and 1-bit compressed sensing under asymmetric noise P Awasthi, MF Balcan, N Haghtalab, H Zhang Conference on Learning Theory, 152-192, 2016 | 105 | 2016 |
| Differentially private clustering in high-dimensional euclidean spaces MF Balcan, T Dick, Y Liang, W Mou, H Zhang International Conference on Machine Learning, 322-331, 2017 | 104 | 2017 |
| Random Smoothing Might be Unable to Certify Robustness for High-Dimensional Images A Blum, T Dick, N Manoj, H Zhang Journal of machine learning research 21 (211), 1-21, 2020 | 87 | 2020 |
| Rain: Your language models can align themselves without finetuning Y Li, F Wei, J Zhao, C Zhang, H Zhang arXiv preprint arXiv:2309.07124, 2023 | 84 | 2023 |
| Robust latent low rank representation for subspace clustering H Zhang, Z Lin, C Zhang, J Gao Neurocomputing 145, 369-373, 2014 | 78 | 2014 |
| Unbiased watermark for large language models Z Hu, L Chen, X Wu, Y Wu, H Zhang, H Huang arXiv preprint arXiv:2310.10669, 2023 | 76 | 2023 |
| Eagle: Speculative sampling requires rethinking feature uncertainty Y Li, F Wei, C Zhang, H Zhang arXiv preprint arXiv:2401.15077, 2024 | 72 | 2024 |
| Adversarial vision challenge W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 66 | 2020 |
| Design and interpretation of universal adversarial patches in face detection X Yang, F Wei, H Zhang, J Zhu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 52 | 2020 |
| Exact recoverability of robust PCA via outlier pursuit with tight recovery bounds H Zhang, Z Lin, C Zhang, E Chang Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 51 | 2015 |
| Noise-tolerant interactive learning using pairwise comparisons Y Xu, H Zhang, K Miller, A Singh, A Dubrawski Advances in neural information processing systems 30, 2017 | 48* | 2017 |
| Noise-tolerant life-long matrix completion via adaptive sampling MFF Balcan, H Zhang Advances in Neural Information Processing Systems 29, 2016 | 48 | 2016 |
| Deep neural networks with multi-branch architectures are intrinsically less non-convex H Zhang, J Shao, R Salakhutdinov The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 47 | 2019 |
| Sample and computationally efficient learning algorithms under s-concave distributions MFF Balcan, H Zhang Advances in Neural Information Processing Systems 30, 2017 | 40 | 2017 |
| Low Rank Models for Visual Analysis: Theories, Algorithms and Applications Z Lin, H Zhang Academic Press, 2017 | 36 | 2017 |
| Self-adaptive training: Bridging supervised and self-supervised learning L Huang, C Zhang, H Zhang IEEE transactions on pattern analysis and machine intelligence 46 (3), 1362-1377, 2022 | 34 | 2022 |
