| Base belief function: an efficient method of conflict management Y Wang, K Zhang, Y Deng Journal of Ambient Intelligence and Humanized Computing 10, 3427-3437, 2019 | 93 | 2019 |
| Robust learning for data poisoning attacks Y Wang, P Mianjy, R Arora International Conference on Machine Learning, 10859-10869, 2021 | 37 | 2021 |
| OWA aggregation of multi-criteria with mixed uncertain fuzzy satisfactions Y Wang, Y Deng arXiv preprint arXiv:1901.09784, 2019 | 36 | 2019 |
| Adversarial robustness is at odds with lazy training Y Wang, E Ullah, P Mianjy, R Arora Advances in Neural Information Processing Systems 35, 6505-6516, 2022 | 10 | 2022 |
| Making recommendations when users experience fatigue Y Wang, T Tulabandhula Proceedings of the International Symposium on Artificial Intelligence and …, 2020 | 5* | 2020 |
| Leveraging Importance Weights in Subset Selection G Citovsky, G DeSalvo, S Kumar, S Ramalingam, A Rostamizadeh, ... The Eleventh International Conference on Learning Representations, 2023 | 3 | 2023 |
| DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation Y Wang, H Hazimeh, N Ponomareva, A Kurakin, I Hammoud, R Arora arXiv preprint arXiv:2402.11120, 2024 | 1 | 2024 |
| Adversarially Robust Hypothesis Transfer Learning Y Wang, R Arora Forty-first International Conference on Machine Learning, 2024 | | 2024 |
| Benign Overfitting in Adversarial Training of Neural Networks Y Wang, K Zhang, R Arora Forty-first International Conference on Machine Learning, 2024 | | 2024 |
