| Align, attend and locate: Chest x-ray diagnosis via contrast induced attention network with limited supervision J Liu, G Zhao, Y Fei, M Zhang, Y Wang, Y Yu IEEE International Conference on Computer Vision (ICCV), 10632-10641, 2019 | 109 | 2019 |
| GraphFPN: Graph Feature Pyramid Network for Object Detection G Zhao, W Ge, Y Yu IEEE International Conference on Computer Vision (ICCV), 2021 | 78 | 2021 |
| Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19 J Li, G Zhao, Y Tao, P Zhai, H Chen, H He, T Cai Pattern recognition 114, 107848, 2021 | 78 | 2021 |
| Rethinking ReLU to train better CNNs G Zhao, Z Zhang, H Guan, P Tang, J Wang 2018 24th International conference on pattern recognition (ICPR), 603-608, 2018 | 40* | 2018 |
| Multi-scale Matching Networks for Semantic Correspondence D Zhao, Z Song, Z Ji, G Zhao, W Ge, Y Yu IEEE International Conference on Computer Vision (ICCV), 2021 | 35 | 2021 |
| Random shifting for cnn: a solution to reduce information loss in down-sampling layers G Zhao, J Wang, Z Zhang IJCAI, 2017 | 32 | 2017 |
| Identity-preserving talking face generation with landmark and appearance priors W Zhong, C Fang, Y Cai, P Wei, G Zhao, L Lin, G Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| BOAT: Bilateral Local Attention Vision Transformer T Yu, G Zhao, P Li, Y Yu The 33rd British Machine Vision Conference (BMVC), 2022 | 22 | 2022 |
| Diagnose like a radiologist: Hybrid neuro-probabilistic reasoning for attribute-based medical image diagnosis G Zhao, Q Feng, C Chen, Z Zhou, Y Yu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 20 | 2022 |
| Graph convolution based cross-network multiscale feature fusion for deep vessel segmentation G Zhao, K Liang, C Pan, F Zhang, X Wu, X Hu, Y Yu IEEE Transactions on Medical Imaging 42 (1), 183-195, 2022 | 17 | 2022 |
| Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization C Chen, L Tang, F Liu, G Zhao, Y Huang, Y Yu NeuralPS2022, 2022 | 16 | 2022 |
| Contralaterally enhanced networks for thoracic disease detection G Zhao, C Fang, G Li, L Jiao, Y Yu IEEE Transactions on Medical Imaging 40 (9), 2428-2438, 2021 | 14 | 2021 |
| GREN: graph-regularized embedding network for weakly-supervised disease localization in X-ray images B Qi, G Zhao, X Wei, C Du, C Pan, Y Yu, J Li IEEE Journal of Biomedical and Health Informatics 26 (10), 5142-5153, 2022 | 9 | 2022 |
| Deep 3D Vessel Segmentation based on Cross Transformer Network C Pan, B Qi, G Zhao, J Liu, C Fang, D Zhang, J Li IEEE BIBM 2022, 2022 | 8 | 2022 |
| Bilateral local attention vision transformer T Yu, G Zhao, P Li, YY Boat arXiv preprint arXiv:2201.13027 3 (11), 2022 | 8 | 2022 |
| BEV@ DC: Bird's-Eye View Assisted Training for Depth Completion W Zhou, X Yan, Y Liao, Y Lin, J Huang, G Zhao, S Cui, Z Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| OneFace: one threshold for all J Liu, Z Yu, H Qin, Y Wu, D Liang, G Zhao, K Xu European Conference on Computer Vision, 545-561, 2022 | 7 | 2022 |
| MVCNet: multiview contrastive network for unsupervised representation learning for 3-D CT lesions P Zhai, H Cong, E Zhu, G Zhao, Y Yu, J Li IEEE Transactions on Neural Networks and Learning Systems, 2022 | 6 | 2022 |
| Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning G Zhao ACM Multimedia 2021, 2021 | 6 | 2021 |
| Human-guided design to explain deep learning-based pneumothorax classifier H Yuan, PT Jiang, G Zhao Medical Imaging with Deep Learning, short paper track, 2023 | 3 | 2023 |
Yizhou YuThe University of Hong Kong, ACM Fellow & IEEE FellowVerified email at acm.org
