| Fedmix: Mixed supervised federated learning for medical image segmentation J Wicaksana, Z Yan, D Zhang, X Huang, H Wu, X Yang, KT Cheng IEEE Transactions on Medical Imaging 42 (7), 1955-1968, 2022 | 69 | 2022 |
| Recognition and detection of two-person interactive actions using automatically selected skeleton features H Wu, J Shao, X Xu, Y Ji, F Shen, HT Shen IEEE Transactions on Human-Machine Systems 48 (3), 304-310, 2017 | 40 | 2017 |
| Compete to win: Enhancing pseudo labels for barely-supervised medical image segmentation H Wu, X Li, Y Lin, KT Cheng IEEE Transactions on Medical Imaging 42 (11), 3244-3255, 2023 | 26 | 2023 |
| Exploring feature representation learning for semi-supervised medical image segmentation H Wu, X Li, KT Cheng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 15 | 2023 |
| A system for spatiotemporal anomaly localization in surveillance videos H Wu, J Shao, X Xu, F Shen, HT Shen Proceedings of the 25th ACM international conference on Multimedia, 1225-1226, 2017 | 12 | 2017 |
| Randomized quantization: A generic augmentation for data agnostic self-supervised learning H Wu, C Lei, X Sun, PS Wang, Q Chen, KT Cheng, S Lin, Z Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Geographical constraint and temporal similarity modeling for point-of-interest recommendation H Wu, J Shao, H Yin, HT Shen, X Zhou Web Information Systems Engineering–WISE 2015: 16th International Conference …, 2015 | 4 | 2015 |
| Randomized Quantization for Data Agnostic Representation Learning. H Wu, C Lei, X Sun, PS Wang, Q Chen, KT Cheng, S Lin, Z Wu arXiv preprint arXiv:2212.08663, 2022 | 2 | 2022 |
