| Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation R Xu, G Li, J Yang, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 545 | 2019 |
| Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift R Xu, Z Chen, W Zuo, J Yan, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 438 | 2018 |
| Multi-label image recognition by recurrently discovering attentional regions Z Wang, T Chen, G Li, R Xu, L Lin Proceedings of the IEEE International Conference on Computer Vision, 464-472, 2017 | 320 | 2017 |
| Clusternet: Deep hierarchical cluster network with rigorously rotation-invariant representation for point cloud analysis C Chen, G Li, R Xu, T Chen, M Wang, L Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 177 | 2019 |
| An adversarial perturbation oriented domain adaptation approach for semantic segmentation J Yang, R Xu, R Li, X Qi, X Shen, G Li, L Lin Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12613 …, 2020 | 111 | 2020 |
| Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection G Zhao, G Li, R Xu, L Lin European Conference on Computer Vision, 86-102, 2020 | 100 | 2020 |
| Black-box prompt learning for pre-trained language models S Diao, Z Huang, R Xu, X Li, Y Lin, X Zhou, T Zhang arXiv preprint arXiv:2201.08531, 2022 | 54 | 2022 |
| Taming pre-trained language models with n-gram representations for low-resource domain adaptation S Diao, R Xu, H Su, Y Jiang, Y Song, T Zhang Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 46 | 2021 |
| Exploring geometric consistency for monocular 3d object detection Q Lian, B Ye, R Xu, W Yao, T Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 21 | 2022 |
| Unsupervised domain adaptation: An adaptive feature norm approach R Xu, G Li, J Yang, L Lin arXiv preprint arXiv:1811.07456, 2018 | 17 | 2018 |
| Geometry-aware data augmentation for monocular 3D object detection Q Lian, B Ye, R Xu, W Yao, T Zhang arXiv preprint arXiv:2104.05858 2 (4), 2021 | 14 | 2021 |
| Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories S Diao, T Xu, R Xu, J Wang, T Zhang arXiv preprint arXiv:2306.05406, 2023 | 13 | 2023 |
| A Robustly and Effectively Optimized Pretraining Approach for Masked Autoencoder R Xu, Y Ge, K Yi, X XU, Y Wang, YC Chen, H Chen, Y Shan | | 2022 |
| Supplementary Material for “Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift” R Xu, Z Chen, W Zuo, J Yan, L Lin | | |
