| Transferable semantic augmentation for domain adaptation S Li, M Xie, K Gong, CH Liu, Y Wang, W Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 110 | 2021 |
| Domain adaptation via prompt learning C Ge, R Huang, M Xie, Z Lai, S Song, S Li, G Huang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 95 | 2023 |
| Semantic concentration for domain adaptation S Li, M Xie, F Lv, CH Liu, J Liang, C Qin, W Li Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 81 | 2021 |
| Dirichlet-based uncertainty calibration for active domain adaptation M Xie, S Li, R Zhang, CH Liu arXiv preprint arXiv:2302.13824, 2023 | 14 | 2023 |
| Evolving Standardization for Continual Domain Generalization over Temporal Drift M Xie, S Li, L Yuan, C Liu, Z Dai Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| End-to-end transferable anomaly detection via multi-spectral cross-domain representation alignment S Li, S Li, M Xie, K Gong, J Zhao, CH Liu, G Wang IEEE Transactions on Knowledge and Data Engineering 35 (12), 12194-12207, 2021 | 1 | 2021 |
| Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint M Xie, S Li, K Gong, Y Wang, G Huang International Journal of Computer Vision 132 (4), 1417-1441, 2024 | | 2024 |
| Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation S Li, R Zhang, K Gong, M Xie, W Ma, G Gao IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
