| A survey of visual transformers Y Liu, Y Zhang, Y Wang, F Hou, J Yuan, J Tian, Y Zhang, Z Shi, J Fan, ... IEEE Transactions on Neural Networks and Learning Systems, 2023 | 235 | 2023 |
| Double-uncertainty weighted method for semi-supervised learning Y Wang, Y Zhang, J Tian, C Zhong, Z Shi, Y Zhang, Z He Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 107 | 2020 |
| Adaptive 3D facial action intensity estimation and emotion recognition Y Zhang, L Zhang, MA Hossain Expert systems with applications 42 (3), 1446-1464, 2015 | 91 | 2015 |
| Modality-aware mutual learning for multi-modal medical image segmentation Y Zhang, J Yang, J Tian, Z Shi, C Zhong, Y Zhang, Z He Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 74 | 2021 |
| Modality-pairing learning for brain tumor segmentation Y Wang, Y Zhang, F Hou, Y Liu, J Tian, C Zhong, Y Zhang, Z He Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 73 | 2021 |
| mmformer: Multimodal medical transformer for incomplete multimodal learning of brain tumor segmentation Y Zhang, N He, J Yang, Y Li, D Wei, Y Huang, Y Zhang, Z He, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 69 | 2022 |
| Intelligent affect regression for bodily expressions using hybrid particle swarm optimization and adaptive ensembles Y Zhang, L Zhang, SC Neoh, K Mistry, MA Hossain Expert Systems with Applications 42 (22), 8678-8697, 2015 | 65 | 2015 |
| Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation Y Wang, Y Zhang, Y Liu, J Tian, C Zhong, Z Shi, Y Zhang, Z He Computer Methods and Programs in Biomedicine 202, 106004, 2021 | 48 | 2021 |
| Combining convolutional neural network and distance distribution matrix for identification of congestive heart failure Y Li, Y Zhang, L Zhao, Y Zhang, C Liu, L Zhang, L Zhang, Z Li, B Wang, ... IEEE Access 6, 39734-39744, 2018 | 48 | 2018 |
| ACN: adversarial co-training network for brain tumor segmentation with missing modalities Y Wang, Y Zhang, Y Liu, Z Lin, J Tian, C Zhong, Z Shi, J Fan, Z He Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 46 | 2021 |
| Fully convolutional neural network with post-processing methods for automatic liver segmentation from CT Y Zhang, Z He, C Zhong, Y Zhang, Z Shi 2017 Chinese Automation Congress (CAC), 3864-3869, 2017 | 33 | 2017 |
| Semi-supervised cardiac image segmentation via label propagation and style transfer Y Zhang, J Yang, F Hou, Y Liu, Y Wang, J Tian, C Zhong, Y Zhang, Z He Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 27 | 2021 |
| Learning rich features for gait recognition by integrating skeletons and silhouettes Y Peng, K Ma, Y Zhang, Z He Multimedia Tools and Applications 83 (3), 7273-7294, 2024 | 22 | 2024 |
| Adaptive learning of local semantic and global structure representations for text classification J Zhao, Z Zhan, Q Yang, Y Zhang, C Hu, Z Li, L Zhang, Z He Proceedings of the 27th International Conference on Computational …, 2018 | 22 | 2018 |
| Sequence-to-sequence prediction of personal computer software by recurrent neural network Q Yang, Z He, F Ge, Y Zhang 2017 International Joint Conference on Neural Networks (IJCNN), 934-940, 2017 | 16 | 2017 |
| TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation J Yang, Y Zhang, Y Liang, Y Zhang, L He, Z He Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 14 | 2021 |
| Knowledge attention sandwich neural network for text classification Z Zhan, Z Hou, Q Yang, J Zhao, Y Zhang, C Hu Neurocomputing 406, 1-11, 2020 | 14 | 2020 |
| SequentialSegNet: combination with sequential feature for multi-organ segmentation Y Zhang, X Jiang, C Zhong, Y Zhang, Z Shi, Z Li, Z He 2018 24th International Conference on Pattern Recognition (ICPR), 3947-3952, 2018 | 11 | 2018 |
| Grabbing the Long Tail: A data normalization method for diverse and informative dialogue generation Z Zhan, J Zhao, Y Zhang, J Gong, Q Wang, Q Shen, L Zhang Neurocomputing 460, 374-384, 2021 | 10 | 2021 |
| DARN: Deep attentive refinement network for liver tumor segmentation from 3D CT volume Y Zhang, J Tian, C Zhong, Y Zhang, Z Shi, Z He 2020 25th International Conference on Pattern Recognition (ICPR), 7796-7803, 2021 | 10 | 2021 |
Yao ZhangShanghai AI LabVerified email at pjlab.org.cn
