| Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective J Zhu, H Bai, L Wang IEEE/CVF Conference on Computer Vision and Pattern Recognition (Highlight), 2023 | 83 | 2023 |
| Deep learning for omnidirectional vision: A survey and new perspectives H Ai, Z Cao, J Zhu, H Bai, Y Chen, L Wang arXiv preprint arXiv:2205.10468, 2022 | 46 | 2022 |
| Vetaverse: A survey on the intersection of Metaverse, vehicles, and transportation systems P Zhou, J Zhu, Y Wang, Y Lu, Z Wei, H Shi, Y Ding, Y Gao, Q Huang, ... arXiv preprint arXiv:2210.15109, 2022 | 35 | 2022 |
| A good student is cooperative and reliable: CNN-transformer collaborative learning for semantic segmentation J Zhu, Y Luo, X Zheng, H Wang, L Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 28 | 2023 |
| Both style and distortion matter: Dual-path unsupervised domain adaptation for panoramic semantic segmentation X Zheng, J Zhu, Y Liu, Z Cao, C Fu, L Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 28 | 2023 |
| Atrial fibrillation detection based on eemd and xgboost Z Yue, Z Jinjing Journal of Physics: Conference Series 1229 (1), 012074, 2019 | 17 | 2019 |
| Selective Partial Domain Adaptation P Guo, J Zhu, Y Zhang British Machine Vision Conference (BMVC) 2022, 2022 | 16 | 2022 |
| Atrial fibrillation detection using different duration ECG signals with SE-ResNet J Zhu, Y Zhang, Q Zhao 2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP …, 2019 | 13 | 2019 |
| Vetaverse: A survey on the intersection of metaverse, vehicles, and transportation systems P Zhou, J Zhu, Y Wang, Y Lu, Z Wei, H Shi, Y Ding, Y Gao, Q Huang, ... arXiv preprint arXiv:2210.15109, 2023 | 11 | 2023 |
| A multi-label learning method to detect arrhythmia based on 12-lead ECGs J Zhu, K Xin, Q Zhao, Y Zhang Machine Learning and Medical Engineering for Cardiovascular Health and …, 2019 | 7 | 2019 |
| Towards dynamic and small objects refinement for unsupervised domain adaptative nighttime semantic segmentation J Pan, S Li, Y Chen, J Zhu, L Wang IROS 2024, 2023 | 2 | 2023 |
| Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation Y Liu, W Zhang, G Zhao, J Zhu, A Vasilakos, L Wang IEEE TAI, 2023 | 2 | 2023 |
| CLIP the Divergence: Language-guided Unsupervised Domain Adaptation J Zhu, Y Chen, L Wang arXiv preprint arXiv:2407.01842, 2024 | 1 | 2024 |
| Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data J Zhu, Y Chen, L Wang arXiv preprint arXiv:2401.05014, 2024 | 1 | 2024 |
| A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting J Zhu, F Ye, Q Xiao, P Guo, Y Zhang, Q Yang IEEE Transactions on Image Processing, 2023 | 1 | 2023 |
| Sept: Towards scalable and efficient visual pre-training Y Lin, H Zheng, H Zhong, J Zhu, W Li, C He, L Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1622-1630, 2023 | 1 | 2023 |
| Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective J Zhu, S Li, L Wang arXiv preprint arXiv:2501.07040, 2025 | | 2025 |
| Open-Set Semi-Supervised Learning by Distribution Alignment Q Xiao, J Zhu, B Wu, Y Zhang 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| Any360D: Towards 360 Depth Anything with Unlabeled 360 Data and M\" obius Spatial Augmentation Z Cao, J Zhu, W Zhang, L Wang arXiv preprint arXiv:2406.13378, 2024 | | 2024 |
| Energy-based Domain-Adaptive Segmentation with Depth Guidance J Zhu, Z Hu, TK Kim, L Wang IEEE Robotics and Automation Letters, 2024 | | 2024 |
Yu ZhangAssociate Professor, Southern University of Science and TechnologyVerified email at sustech.edu.cn