| Variational Adversarial Defense: A Bayes Perspective for Adversarial Training C Zhao, S Mei, B Ni, S Yuan, Z Yu, J Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 7 | 2023 |
| Towards bridging sample complexity and model capacity S Mei, C Zhao, S Yuan, B Ni Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1972-1980, 2022 | 4 | 2022 |
| Towards interpreting and utilizing symmetry property in adversarial examples S Mei, C Zhao, B Ni, S Yuan Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9126-9133, 2023 | 2 | 2023 |
| Exploring and Utilizing Pattern Imbalance S Mei, C Zhao, S Yuan, B Ni Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| Adversarial defense via scatter and alignment Y Zou, C Zhao, S Mei, B Ni 2020 2nd International Conference on Information Technology and Computer …, 2020 | 1 | 2020 |
| MSSIDD: A Benchmark for Multi-Sensor Denoising S Mei, H Wang, B Ni arXiv preprint arXiv:2411.11562, 2024 | | 2024 |
| Object-Oriented Anchoring and Modal Alignment in Multimodal Learning S Mei, B Ni, H Wang, C Zhao, F Hu, Z Pi, B Ke The 18th European Conference on Computer Vision ECCV 2024, 2024 | | 2024 |
| Explore Adversarial Attack via Black Box Variational Inference C Zhao, B Ni, S Mei IEEE Signal Processing Letters 29, 2088-2092, 2022 | | 2022 |