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Mixue Xie
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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
1832023
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
1542021
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
1102021
Dirichlet-based uncertainty calibration for active domain adaptation
M Xie, S Li, R Zhang, CH Liu
arXiv preprint arXiv:2302.13824, 2023
392023
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
82024
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
42023
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
32024
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
22021
Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments
M Xie, S Li, B Xie, CH Liu, J Liang, Z Sun, K Feng, C Zhu
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0
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학술자료 1–9