| Subtype-aware unsupervised domain adaptation for medical diagnosis X Liu, X Liu, B Hu, W Ji, F Xing, J Lu, J You, CCJ Kuo, G El Fakhri, J Woo Proceedings of the AAAI conference on artificial intelligence 35 (3), 2189-2197, 2021 | 42 | 2021 |
| Energy-constrained self-training for unsupervised domain adaptation X Liu, B Hu, X Liu, J Lu, J You, L Kong 2020 25th International Conference on Pattern Recognition (ICPR), 7515-7520, 2021 | 39 | 2021 |
| Domain generalization under conditional and label shifts via variational bayesian inference X Liu, B Hu, L Jin, X Han, F Xing, J Ouyang, J Lu, GEL Fakhri, J Woo arXiv preprint arXiv:2107.10931, 2021 | 32 | 2021 |
| Constraining pseudo‐label in self‐training unsupervised domain adaptation with energy‐based model L Kong, B Hu, X Liu, J Lu, J You, X Liu International Journal of Intelligent Systems 37 (10), 8092-8112, 2022 | 12 | 2022 |
| Speeding up very fast decision tree with low computational cost J Sun, H Jia, B Hu, X Huang, H Zhang, H Wan, X Zhao Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 8 | 2021 |
| Rethinking the Invariant Feature Learning: Variational Bayesian Inference for Domain Generalization X Liu, B Hu, L Jin, X Han, FXJOJ Lu, GEFJ Woo Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 3 | 2021 |
