| 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 | 137 | 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 | 125 | 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 | 110 | 2020 |
| 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 | 40 | 2021 |
| A study of the attention abnormality in trojaned berts W Lyu, S Zheng, T Ma, C Chen arXiv preprint arXiv:2205.08305, 2022 | 19 | 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 | 10 | 2022 |
| 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 | 8 | 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 | 2 | 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 | | 2023 |
| On the Existence of a Trojaned Twin Model S Zheng, Y Zhang, W Lyu, M Goswami, A Schneider, Y Nevmyvaka, ... | | 2022 |
Chao ChenStony Brook UniversityZweryfikowany adres z stonybrook.edu
