| nnformer: Volumetric medical image segmentation via a 3d transformer HY Zhou, J Guo, Y Zhang, X Han, L Yu, L Wang, Y Yu IEEE Transactions on Image Processing, 2023 | 739* | 2023 |
| ThiNet: Pruning CNN filters for a thinner net JH Luo, H Zhang, HY Zhou, CW Xie, J Wu, W Lin IEEE transactions on pattern analysis and machine intelligence 41 (10), 2525 …, 2018 | 291 | 2018 |
| Age Estimation Using Expectation of Label Distribution Learning. BB Gao, HY Zhou, J Wu, X Geng IJCAI 1, 3, 2018 | 186 | 2018 |
| Learning to discover multi-class attentional regions for multi-label image recognition BB Gao, HY Zhou IEEE Transactions on Image Processing 30, 5920-5932, 2021 | 156 | 2021 |
| A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics HY Zhou, Y Yu, C Wang, S Zhang, Y Gao, J Pan, J Shao, G Lu, K Zhang, ... Nature biomedical engineering 7 (6), 743-755, 2023 | 145 | 2023 |
| Swin-umamba: Mamba-based unet with imagenet-based pretraining J Liu, H Yang, HY Zhou, Y Xi, L Yu, Y Yu, Y Liang, G Shi, S Zhang, ... MICCAI 2024, 2024 | 132 | 2024 |
| Comparing to learn: Surpassing imagenet pretraining on radiographs by comparing image representations HY Zhou, S Yu, C Bian, Y Hu, K Ma, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 114 | 2020 |
| Preservational learning improves self-supervised medical image models by reconstructing diverse contexts HY Zhou, C Lu, S Yang, X Han, Y Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 111 | 2021 |
| Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports HY Zhou, X Chen, Y Zhang, R Luo, L Wang, Y Yu Nature Machine Intelligence 4 (1), 32-40, 2022 | 108* | 2022 |
| Bottom-up shift and reasoning for referring image segmentation S Yang, M Xia, G Li, HY Zhou, Y Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 97 | 2021 |
| Convnets vs. transformers: Whose visual representations are more transferable? HY Zhou, C Lu, S Yang, Y Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 83 | 2021 |
| Ddcot: Duty-distinct chain-of-thought prompting for multimodal reasoning in language models G Zheng, B Yang, J Tang, HY Zhou, S Yang Advances in Neural Information Processing Systems 36, 5168-5191, 2023 | 79 | 2023 |
| Efficient and effective training of COVID-19 classification networks with self-supervised dual-track learning to rank Y Li, D Wei, J Chen, S Cao, H Zhou, Y Zhu, J Wu, L Lan, W Sun, T Qian, ... IEEE Journal of Biomedical and Health Informatics 24 (10), 2787-2797, 2020 | 77 | 2020 |
| A survey on graph neural networks and graph transformers in computer vision: A task-oriented perspective C Chen, Y Wu, Q Dai, HY Zhou, M Xu, S Yang, X Han, Y Yu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 72 | 2024 |
| Attribute surrogates learning and spectral tokens pooling in transformers for few-shot learning Y He, W Liang, D Zhao, HY Zhou, W Ge, Y Yu, W Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 62 | 2022 |
| Advancing Radiograph Representation Learning with Masked Record Modeling HY Zhou, C Lian, L Wang, Y Yu International Conference on Learning Representations (ICLR) 2023., 2023 | 60 | 2023 |
| A unified visual information preservation framework for self-supervised pre-training in medical image analysis HY Zhou, C Lu, C Chen, S Yang, Y Yu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8020-8035, 2023 | 55* | 2023 |
| Relation matters: Foreground-aware graph-based relational reasoning for domain adaptive object detection C Chen, J Li, HY Zhou, X Han, Y Huang, X Ding, Y Yu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3677-3694, 2022 | 49 | 2022 |
| SSMD: semi-supervised medical image detection with adaptive consistency and heterogeneous perturbation HY Zhou, C Wang, H Li, G Wang, S Zhang, W Li, Y Yu Medical Image Analysis 72, 102117, 2021 | 48 | 2021 |
| TransXNet: learning both global and local dynamics with a dual dynamic token mixer for visual recognition M Lou, HY Zhou, S Yang, Y Yu arXiv preprint arXiv:2310.19380, 2023 | 45 | 2023 |
Yizhou YuThe University of Hong Kong, IEEE FellowE-mail megerősítve itt: acm.org