Hong-Yu Zhou

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 76

Top Topics

Medical Image Segmentation

Medical Image Analysis

Object Detectors

Visual Representations

Top Venues

Medical Image Anal.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Shanshan Wang
Generalizable vision-language pre-training for annotation-free pathology localization. CoRR (2024)
Oishi Banerjee, Hong-Yu Zhou, Subathra Adithan, Stephen Kwak, Kay Wu, Pranav Rajpurkar
Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation. CoRR (2024)
Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Shanshan Wang
Enhancing the medical foundation model with multi-scale and cross-modality feature learning. CoRR (2024)
Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Shanshan Wang
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning. CoRR (2024)
Hong-Yu Zhou, Subathra Adithan, Julián Nicolás Acosta, Eric J. Topol, Pranav Rajpurkar
A Generalist Learner for Multifaceted Medical Image Interpretation. CoRR (2024)
Fei Gao, Siwen Wang, Churan Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Gang Yu, Yizhou Yu
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation. CoRR (2024)
Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqing Zhang, Yizhou Yu
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging. CoRR (2024)
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining. CoRR (2024)
Jiaxin Wu, Yizhou Yu, Hong-Yu Zhou
Uncertainty Estimation of Large Language Models in Medical Question Answering. CoRR (2024)
Chenyu Lian, Hong-Yu Zhou, Yizhou Yu, Liansheng Wang
Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models. CoRR (2024)
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang
Multimodal self-supervised learning for lesion localization. CoRR (2024)
Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu
Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training. Neurocomputing 529 (2023)
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, Shu Zhang, Yuanxu Gao, Jia Pan, Jun Shao, Guangming Lu, Kang Zhang, Weimin Li
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics. CoRR (2023)
Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning. ICLR (2023)
Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu
Activate and Reject: Towards Safe Domain Generalization under Category Shift. CoRR (2023)
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models. NeurIPS (2023)
Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu
Advancing Radiograph Representation Learning with Masked Record Modeling. CoRR (2023)
Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu
Advancing Radiograph Representation Learning with Masked Record Modeling. ICLR (2023)
Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu
Activate and Reject: Towards Safe Domain Generalization under Category Shift. ICCV (2023)
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Xiaoguang Han, Lequan Yu, Liansheng Wang, Yizhou Yu
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer. IEEE Trans. Image Process. 32 (2023)
Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models. CoRR (2023)
Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis. CoRR (2023)
Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling. CoRR (2023)
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis. CoRR (2023)
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu
Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports. Nat. Mach. Intell. 4 (1) (2022)
Xiaoyu Chen, Hong-Yu Zhou, Feng Liu, Jiansen Guo, Liansheng Wang, Yizhou Yu
MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images. Medical Image Anal. 80 (2022)
Stanley T. Yu, Hong-Yu Zhou
Position-Aware Anti-Aliasing Filters for 3D Medical Image Analysis. IEEE Access 10 (2022)
Zhixiong Yang, Junwen Pan, Yanzhan Yang, Xiaozhou Shi, Hong-Yu Zhou, Zhicheng Zhang, Cheng Bian
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification. CoRR (2022)
Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu
GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis. IEEE Trans. Medical Imaging 41 (12) (2022)
Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. CVPR (2022)
Zhixiong Yang, Junwen Pan, Yanzhan Yang, Xiaozhou Shi, Hong-Yu Zhou, Zhicheng Zhang, Cheng Bian
ProCo: Prototype-Aware Contrastive Learning for Long-Tailed Medical Image Classification. MICCAI (8) (2022)
Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. CoRR (2022)
Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. CoRR (2022)
Jiansen Guo, Hong-Yu Zhou, Liansheng Wang, Yizhou Yu
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture. CoRR (2022)
Chi Zhang, Hong-Yu Zhou, Qiang Qiu, Zhichun Jian, Daoye Zhu, Chengqi Cheng, Liesong He, Guoping Liu, Xiang Wen, Runbo Hu
Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting. ISPRS Int. J. Geo Inf. 11 (2) (2022)
Chengdi Wang, Jiechao Ma, Shu Zhang, Jun Shao, Yanyan Wang, Hong-Yu Zhou, Lujia Song, Jie Zheng, Yizhou Yu, Weimin Li
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases. npj Digit. Medicine 5 (2022)
Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training. CoRR (2022)
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection. CoRR (2022)
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports. CoRR (2021)
Luyan Liu, Zhiwei Wen, Songwei Liu, Hong-Yu Zhou, Hongwei Zhu, Weicheng Xie, Linlin Shen, Kai Ma, Yefeng Zheng
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures. CoRR (2021)
Hong-Yu Zhou, Shi-Liang Wu, Cui-Xia Li
Newton-based matrix splitting method for generalized absolute value equation. J. Comput. Appl. Math. 394 (2021)
Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation. CoRR (2021)
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu
ConvNets vs. Transformers: Whose Visual Representations are More Transferable? CoRR (2021)
Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation. Medical Image Anal. 72 (2021)
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts. CoRR (2021)
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu
ConvNets vs. Transformers: Whose Visual Representations are More Transferable? ICCVW (2021)
Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation. CoRR (2021)
Zhi-gang Su, Hong-Yu Zhou, Yong-sheng Hao
Evidential evolving C-means clustering method based on artificial bee colony algorithm with variable strings and interactive evaluation mode. Fuzzy Optim. Decis. Mak. 20 (3) (2021)
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu
nnFormer: Interleaved Transformer for Volumetric Segmentation. CoRR (2021)
Liansheng Wang, Cong Xie, Yi Lin, Hong-Yu Zhou, Kailin Chen, Dalong Cheng, Florian Dubost, Benjamin Collery, Bidur Khanal, Bishesh Khanal, Rong Tao, Shangliang Xu, Upasana Upadhyay Bharadwaj, Zhusi Zhong, Jie Li, Shuxin Wang, Shuo Li
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge. Medical Image Anal. 72 (2021)
Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation. IPMI (2021)
Bin-Bin Gao, Hong-Yu Zhou
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition. IEEE Trans. Image Process. 30 (2021)
Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, Yizhou Yu
Bottom-Up Shift and Reasoning for Referring Image Segmentation. CVPR (2021)
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts. ICCV (2021)
Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations. MICCAI (1) (2020)
Bin-Bin Gao, Hong-Yu Zhou
Multi-Label Image Recognition with Multi-Class Attentional Regions. CoRR (2020)
Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation. CoRR (2020)
Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng
Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling. MICCAI (1) (2020)
Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. CoRR (2020)
Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng
A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation. MICCAI (5) (2020)
Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations. CoRR (2020)
Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling. CoRR (2020)
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
CodeAttention: translating source code to comments by exploiting the code constructs. Frontiers Comput. Sci. 13 (3) (2019)
Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng
Seg4Reg Networks for Automated Spinal Curvature Estimation. CSI@MICCAI (2019)
Jian-Hao Luo, Hao Zhang, Hong-Yu Zhou, Chen-Wei Xie, Jianxin Wu, Weiyao Lin
ThiNet: Pruning CNN Filters for a Thinner Net. IEEE Trans. Pattern Anal. Mach. Intell. 41 (10) (2019)
Chen-Wei Xie, Hong-Yu Zhou, Jianxin Wu
Vortex Pooling: Improving Context Representation in Semantic Segmentation. CoRR (2018)
Hong-Yu Zhou, Avital Oliver, Jianxin Wu, Yefeng Zheng
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets. CoRR (2018)
Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng
Age Estimation Using Expectation of Label Distribution Learning. IJCAI (2018)
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
Code Attention: Translating Code to Comments by Exploiting Domain Features. CoRR (2017)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. CoRR (2017)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. CoRR (2017)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. ICCV (2017)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. BMVC (2017)
Hong-Yu Zhou, Jianxin Wu
Content-Based Image Recovery. PCM (2) (2017)
Dai-Di Zhao, Hong-Yu Zhou, Qizhu Wu, Ju Liu, Xiuying Chen, Dian He, Xiaofei He, Wen-Jie Han, Qiyong Gong
Diffusion tensor imaging characterization of occult brain damage in relapsing neuromyelitis optica using 3.0T magnetic resonance imaging techniques. NeuroImage 59 (4) (2012)
Fu-Guo Deng, Xi-Han Li, Hong-Yu Zhou
Passively self-error-rejecting qubit transmission over a collective-noise channel. Quantum Inf. Comput. 11 (11-12) (2011)
Yu-Bo Sheng, Fu-Guo Deng, Hong-Yu Zhou
Single-photon entanglement concentration for long-distance quantum communication. Quantum Inf. Comput. 10 (3&4) (2010)