| Robust facial landmark detection via occlusion-adaptive deep networks M Zhu, D Shi, M Zheng, M Sadiq Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 157 | 2019 |
| Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data Z Chen, C Yang, M Zhu, Z Peng, Y Yuan IEEE transactions on medical imaging, 2022 | 69 | 2022 |
| Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning C Zhen, Z Meilu, Y Chen, Y Yixuan The 23nd International Conference on Medical Image Computing and Computer …, 2021 | 46 | 2021 |
| DSI-Net: Deep synergistic interaction network for joint classification and segmentation with endoscope images M Zhu, Z Chen, Y Yuan IEEE Transactions on Medical Imaging 40 (12), 3315-3325, 2021 | 37 | 2021 |
| Mutual-prototype adaptation for cross-domain polyp segmentation C Yang, X Guo, M Zhu, B Ibragimov, Y Yuan IEEE Journal of Biomedical and Health Informatics 25 (10), 3886-3897, 2021 | 36 | 2021 |
| Discrepancy and gradient-guided multi-modal knowledge distillation for pathological glioma grading X Xing, Z Chen, M Zhu, Y Hou, Z Gao, Y Yuan International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 28 | 2022 |
| Instance importance-aware graph convolutional network for 3D medical diagnosis Z Chen, J Liu, M Zhu, PYM Woo, Y Yuan Medical Image Analysis 78, 102421, 2022 | 26 | 2022 |
| FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting M Zhu, Z Chen, Y Yuan IEEE Transactions on Medical Imaging 42 (6), 1632 - 1643, 2023 | 21 | 2023 |
| Branched convolutional neural networks incorporated with jacobian deep regression for facial landmark detection M Zhu, D Shi, J Gao Neural Networks 118, 127-139, 2019 | 20 | 2019 |
| Image denoising via generative adversarial networks with detail loss S Chen, D Shi, M Sadiq, M Zhu Proceedings of the 2nd international conference on information science and …, 2019 | 8 | 2019 |
| Fedpd: Federated open set recognition with parameter disentanglement C Yang, M Zhu, Y Liu, Y Yuan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| FedOSS: Federated Open Set Recognition via Inter-client Discrepancy and Collaboration M Zhu, J Liao, J Liu, Y Yuan IEEE Transactions on Medical Imaging, 2023 | 6 | 2023 |
| Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading X Xing, M Zhu, Z Chen, Y Yuan Medical Image Analysis 91, 102990, 2024 | 5 | 2024 |
| Mgiml: Cancer grading with incomplete radiology-pathology data via memory learning and gradient homogenization P Wang, H Zhang, M Zhu, X Jiang, J Qin, Y Yuan IEEE Transactions on Medical Imaging 43 (6), 2113-2124, 2024 | 3 | 2024 |
| A teacher-to-student information recovery method toward energy-efficient animal activity recognition at low sampling rates Axiu Mao, Meilu Zhu, Endai Huang, Xi Yao, Kai Liu Computers and Electronics in Agriculture 213, 108242, 2023 | 3 | 2023 |
| Branched convolutional neural networks for face alignment M Zhu, D Shi, S Chen, J Gao Advances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018 | 3 | 2018 |
| 中国医学影像人工智能 20 年回顾和展望 蒋希， 袁奕萱， 王雅萍， 肖振祥， 朱美芦， 陈泽华， 刘天明， 沈定刚 中国图象图形学报 27 (3), 655-671, 2022 | 2 | 2022 |
| A 20-year retrospect and prospect of medical imaging artificial intelligence in China J Xi, Y Yi-Xuan, W Ya-Ping, X Zhen-Xiang, Z Mei-Lu, C Ze-Hua Journal of Image and Graphics 27 (3), 655-671, 2022 | 2 | 2022 |
| CMCNet: Colorization-Aware Mix-Uncertainty-Adaptive Consistency Network for Semi-Supervised Fruit Counting X Mai, M Zhu, Y Yuan IEEE Transactions on Automation Science and Engineering, 2023 | 1 | 2023 |
| Deep geometry embedding networks for robust facial landmark detection M Zhu, D Shi 2019 IEEE International Conference on Multimedia and Expo (ICME), 1222-1227, 2019 | 1 | 2019 |
Yixuan YuanAssistant Professor in Chinese University of Hong KongEmail được xác minh tại cuhk.edu.hk