| Clip surgery for better explainability with enhancement in open-vocabulary tasks Y Li, H Wang, Y Duan, X Li arXiv preprint arXiv:2304.05653, 2023 | 58 | 2023 |
| Clipn for zero-shot ood detection: Teaching clip to say no H Wang, Y Li, H Yao, X Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 42 | 2023 |
| Exploring visual interpretability for contrastive language-image pre-training Y Li, H Wang, Y Duan, H Xu, X Li arXiv preprint arXiv:2209.07046, 2022 | 17 | 2022 |
| Hierarchical self-supervised learning for 3D tooth segmentation in intra-oral mesh scans Z Liu, X He, H Wang, H Xiong, Y Zhang, G Wang, J Hao, Y Feng, F Zhu, ... IEEE Transactions on Medical Imaging 42 (2), 467-480, 2022 | 16 | 2022 |
| Towards calibrated hyper-sphere representation via distribution overlap coefficient for long-tailed learning H Wang, S Fu, X He, H Fang, Z Liu, H Hu European Conference on Computer Vision, 179-196, 2022 | 15 | 2022 |
| On the effectiveness of out-of-distribution data in self-supervised long-tail learning J Bai, Z Liu, H Wang, J Hao, Y Feng, H Chu, H Hu arXiv preprint arXiv:2306.04934, 2023 | 12 | 2023 |
| Region aware transformer for automatic breast ultrasound tumor segmentation X Zhu, H Hu, H Wang, J Yao, W Li, D Ou, D Xu International Conference on Medical Imaging with Deep Learning, 1523-1537, 2022 | 12 | 2022 |
| Towards federated long-tailed learning Z Chen, S Liu, H Wang, HH Yang, TQS Quek, Z Liu arXiv preprint arXiv:2206.14988, 2022 | 9 | 2022 |
| Unsupervised pre-training improves tooth segmentation in 3-Dimensional intraoral mesh scans X He, H Wang, H Hu, J Yang, Y Feng, G Wang, L Zuozhu International Conference on Medical Imaging with Deep Learning, 493-507, 2022 | 6 | 2022 |
| Fed-grab: Federated long-tailed learning with self-adjusting gradient balancer Z Xiao, Z Chen, S Liu, H Wang, Y Feng, J Hao, JT Zhou, J Wu, H Yang, ... Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Meta-prototype decoupled training for long-tailed learning S Fu, H Chu, X He, H Wang, Z Yang, H Hu Proceedings of the Asian Conference on Computer Vision, 569-585, 2022 | 3 | 2022 |
| Federated model aggregation via self-supervised priors for highly imbalanced medical image classification M Elbatel, H Wang, R Mart, H Fu, X Li International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Class semantic enhancement network for semantic segmentation S Fu, H Wang, H Hu, X He, Y Long, J Bai, Y Ou, Y Huang, M Zhou Journal of Visual Communication and Image Representation 96, 103924, 2023 | 2 | 2023 |
| Freeseg: Free mask from interpretable contrastive language-image pretraining for semantic segmentation Y Li, H Yao, H Wang, X Li | 2 | 2022 |
| Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation H Wang, H Chu, S Fu, Z Liu, H Hu Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 2 | 2022 |
| 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 | 1 | 2024 |
| Towards distribution-agnostic generalized category discovery J Bai, Z Liu, H Wang, R Chen, L Mu, X Li, JT Zhou, Y Feng, J Wu, H Hu Advances in Neural Information Processing Systems 36, 58625-58647, 2023 | 1 | 2023 |
| Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition X He, S Fu, X Ding, Y Cao, H Wang Proceedings of the 31st ACM International Conference on Multimedia, 5027-5037, 2023 | 1 | 2023 |
| 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 |
| Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis C Zhou, H Wang, X Li, W Liu, Z Liu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Xiaomeng LiAssistant Professor, The Hong Kong University of Science and Technology在 ust.hk 的电子邮件经过验证
