| Learning with feature-dependent label noise: A progressive approach Y Zhang, S Zheng, P Wu, M Goswami, C Chen International Conference on Learning Representations. 2020, 2021 | 161 | 2021 |
| Error-bounded correction of noisy labels S Zheng, P Wu, A Goswami, M Goswami, D Metaxas, C Chen International Conference on Machine Learning, 11447-11457, 2020 | 135 | 2020 |
| A Topological Filter for Learning with Label Noise P Wu, S Zheng, M Goswami, D Metaxas, C Chen Advances in Neural Information Processing Systems, 33(2020), 2020 | 124 | 2020 |
| A study of the attention abnormality in trojaned berts W Lyu, S Zheng, T Ma, C Chen arXiv preprint arXiv:2205.08305, 2022 | 54 | 2022 |
| A multimodal transformer: Fusing clinical notes with structured EHR data for interpretable in-hospital mortality prediction W Lyu, X Dong, R Wong, S Zheng, K Abell-Hart, F Wang, C Chen AMIA Annual Symposium Proceedings 2022, 719, 2022 | 45 | 2022 |
| Topological detection of trojaned neural networks S Zheng, Y Zhang, H Wagner, M Goswami, C Chen Advances in Neural Information Processing Systems 34, 17258-17272, 2021 | 43 | 2021 |
| Attention-enhancing backdoor attacks against bert-based models W Lyu, S Zheng, L Pang, H Ling, C Chen arXiv preprint arXiv:2310.14480, 2023 | 39 | 2023 |
| Backdoor attacks against transformers with attention enhancement W Lyu, S Zheng, H Ling, C Chen ICLR 2023 Workshop on Backdoor Attacks and Defenses in Machine Learning, 2023 | 29 | 2023 |
| Task-agnostic detector for insertion-based backdoor attacks W Lyu, X Lin, S Zheng, L Pang, H Ling, S Jha, C Chen arXiv preprint arXiv:2403.17155, 2024 | 25 | 2024 |
| Learning to segment from noisy annotations: A spatial correction approach J Yao, Y Zhang, S Zheng, M Goswami, P Prasanna, C Chen arXiv preprint arXiv:2308.02498, 2023 | 10 | 2023 |
| Learning to abstain from uninformative data Y Zhang, S Zheng, M Dalirrooyfard, P Wu, A Schneider, A Raj, ... arXiv preprint arXiv:2309.14240, 2023 | 1 | 2023 |
Chao ChenStony Brook University在 stonybrook.edu 的电子邮件经过验证
