| FPConv: Learning Local Flattening for Point Convolution Y Lin, Z Yan, H Huang, D Du, L Liu, S Cui, X Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 170 | 2020 |
| RSCFed: Random Sampling Consensus Federated Semi-supervised Learning X Liang, Y Lin, H Fu, L Zhu, X Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 62 | 2022 |
| Skeleton-bridged Point Completion: From Global Inference to Local Adjustment Y Nie, Y Lin, X Han, S Guo, J Chang, S Cui, J Zhang Advances in Neural Information Processing Systems 33, 2020 | 51 | 2020 |
| Calibrating label distribution for class-imbalanced barely-supervised knee segmentation Y Lin, H Yao, Z Li, G Zheng, X Li International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 24 | 2022 |
| ME-PCN: Point Completion Conditioned on Mask Emptiness B Gong, Y Nie, Y Lin, X Han, Y Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 20 | 2021 |
| 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 | 19 | 2023 |
| Learning deep intensity field for extremely sparse-view CBCT reconstruction Y Lin, Z Luo, W Zhao, X Li International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 18 | 2023 |
| Performance anomaly detection models of virtual machines for network function virtualization infrastructure with machine learning J Qiu, Q Du, Y He, Y Lin, J Zhu, K Yin Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 13 | 2018 |
| Task-Aware Sampling Layer for Point-Wise Analysis Y Lin, L Chen, H Huang, C Ma, X Han, S Cui IEEE Transactions on Visualization and Computer Graphics, 2022 | 9 | 2022 |
| CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval X Wang, Y Lin, X Li Proceedings of the ACM Web Conference 2023, 3268-3277, 2023 | 6 | 2023 |
| C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction Y Lin, J Yang, H Wang, X Ding, W Zhao, X Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Exploiting Hierarchical Interactions for Protein Surface Learning Y Lin, L Pan, Y Li, Z Liu, X Li IEEE Journal of Biomedical and Health Informatics, 2024 | 1 | 2024 |
| Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images B Pu, X Lv, J Yang, G He, X Dong, Y Lin, S Li, Y Tan, F Liu, M Chen, Z Jin, ... 41st International Conference on Machine Learning, 2024 | 1 | 2024 |
| Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays J Chen, Y Lin, H Sun, X Li arXiv preprint arXiv:2407.15433, 2024 | | 2024 |
| DFINet: Dual-way Feature Interaction Network for Long-Term Series Forecasting G Zhang, A Zhang, B Li, Y Lin, J Jiang, Y Chen, Y Zhang IEEE Transactions on Instrumentation and Measurement, 2024 | | 2024 |
| Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction Y Lin, H Wang, J Chen, X Li arXiv preprint arXiv:2407.01090, 2024 | | 2024 |
| CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos J Yang, Y Lin, B Pu, J Guo, X Xu, X Li ECCV, 2024 | | 2024 |
Xiaoguang HanAssistant Professor, The Chinese University of Hong Kong, ShenzhenAdresă de e-mail confirmată pe cuhk.edu.cn
