| 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 |
| Wasserstein loss with alternative reinforcement learning for severity-aware semantic segmentation X Liu, Y Lu, X Liu, S Bai, S Li, J You IEEE Transactions on Intelligent Transportation Systems 23 (1), 587-596, 2020 | 23 | 2020 |
| 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 |
| Reinforced wasserstein training for severity-aware semantic segmentation in autonomous driving X Liu, Y Zhang, X Liu, S Bai, S Li, J You arXiv preprint arXiv:2008.04751, 2020 | 11 | 2020 |
| Spiking neuron networks based energy-efficient object detection for mobile robot BC Liu, Q Yu, JW Gao, S Zhao, XC Liu, YF Lu 2021 China Automation Congress (CAC), 3224-3229, 2021 | 4 | 2021 |
