Hong-Yu Zhou
Hong-Yu Zhou
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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
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
Age Estimation Using Expectation of Label Distribution Learning.
BB Gao, HY Zhou, J Wu, X Geng
IJCAI 1, 3, 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
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
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
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
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
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
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
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
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
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
arXiv preprint arXiv:2209.13232, 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
Vortex pooling: Improving context representation in semantic segmentation
CW Xie, HY Zhou, J Wu
arXiv preprint arXiv:1804.06242, 2018
Advancing Radiograph Representation Learning with Masked Record Modeling
HY Zhou, C Lian, L Wang, Y Yu
International Conference on Learning Representations (ICLR) 2023., 2023
CodeAttention: translating source code to comments by exploiting the code constructs
W Zheng, H Zhou, M Li, J Wu
Frontiers of Computer Science 13 (3), 565-578, 2019
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, ...
arXiv preprint arXiv:2402.03302, 2024
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
Adaptive feeding: Achieving fast and accurate detections by adaptively combining object detectors
HY Zhou, BB Gao, J Wu
Proceedings of the IEEE International Conference on Computer Vision, 3505-3513, 2017
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