Hong-Yu Zhou

113 papers A* 10A 1Journal 81Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms.
Medical Image Anal.
Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Hong-Yu Zhou, Chunyao Lu, Luyi Han, Antonio Portaluri, Ruisheng Su, Tianyu Zhang, Xinglong Liang, Regina Beets-Tan, Katja Pinker-Domenig, Yue Sun, Ritse Mann, Jonas Teuwen
2026 J jnl
InstructDiff: Domain-Adaptive Data Selection via Differential Entropy for Efficient LLM Fine-Tuning.
CoRR
Junyou Su, He Zhu, Xiao Luo, Liyu Zhang, Hong-Yu Zhou, Yun Chen, Peng Li, Yang Liu, Guanhua Chen
2026 J jnl
SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL.
CoRR
Lijun Liu, Linwei Chen, Zhishou Zhang, Meng Tian, Hengfu Cui, Ruiyang Li, Zhaocheng Liu, Qiang Ju, Qianxi Li, Hong-Yu Zhou
2025 — conf
BenchReAD: A Systematic Benchmark for Retinal Anomaly Detection.
MICCAI (2)
Chenyu Lian, Hong-Yu Zhou, Zhanli Hu, Jing Qin
2025 J jnl
BenchReAD: A systematic benchmark for retinal anomaly detection.
CoRR
Chenyu Lian, Hong-Yu Zhou, Zhanli Hu, Jing Qin
2025 J jnl
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis.
CoRR
Jiarun Liu, Hong-Yu Zhou, Weijian Huang, Hao Yang, Dongning Song, Tao Tan, Yong Liang, Shanshan Wang
2025 — conf
BioVFM-21M: Benchmarking and Scaling Self-supervised Vision Foundation Models for Biomedical Image Analysis.
MedAGI
Jiarun Liu, Hong-Yu Zhou, Weijian Huang, Hao Yang, Dongning Song, Tao Tan, Yong Liang, Shanshan Wang
2025 J jnl
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models.
CoRR
Chenyu Lian, Hong-Yu Zhou, Dongyun Liang, Jing Qin, Liansheng Wang
2025 J jnl
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models.
IEEE Trans. Medical Imaging
Chenyu Lian, Hong-Yu Zhou, Dongyun Liang, Jing Qin, Liansheng Wang
2025 — conf
HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation.
CHIL
Julián Nicolás Acosta, Xiaoman Zhang, Siddhant Dogra, Hong-Yu Zhou, Seyedmehdi Payabvash, Guido J. Falcone, Eric Karl Oermann, Pranav Rajpurkar
2025 A* conf
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine.
ICLR
Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou
2025 J jnl
Multi-Modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment.
IEEE J. Biomed. Health Informatics
Yuan Gao, Tao Tan, Xin Wang, Regina Beets-Tan, Tianyu Zhang, Luyi Han, Antonio Portaluri, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Hong-Yu Zhou, Ritse Mann
2025 J jnl
Multimodal generative AI for interpreting 3D medical images and videos.
npj Digit. Medicine
Jung-Oh Lee, Hong-Yu Zhou, Tyler M. Berzin, Daniel K. Sodickson, Pranav Rajpurkar
2025 J jnl
No More Sibling Rivalry: Debiasing Human-Object Interaction Detection.
CoRR
Bin Yang, Yulin Zhang, Hong-Yu Zhou, Sibei Yang
2025 J jnl
ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports.
CoRR
Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Mahmoud Hussain Alabbad, Maha Sbayel Alhazmi, Neel P. Mistry, Kent Ryan Kleinschmidt, Brady Chrisler, Sathvik Suryadevara, Sri Sai Dinesh Jaliparthi, Noah Michael Prudlo, Mark David Marino, Jeremy Palacio, Rithvik Akula, Hong-Yu Zhou, Ibrahim Ethem Hamamci, Scott J. Adams, Hassan Rayhan AlOmaish, Pranav Rajpurkar
2025 — conf
ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation.
AAAI Bridge Program
Xiaoman Zhang, Hong-Yu Zhou, Xiaoli Yang, Oishi Banerjee, Julián N. Acosta, Josh Miller, Ouwen Huang, Pranav Rajpurkar
2025 J jnl
SDR-Former: A Siamese Dual-Resolution Transformer for liver lesion classification using 3D multi-phase imaging.
Neural Networks
Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqin Zhang, Yizhou Yu
2025 J jnl
Swin-UMamba†: Adapting Mamba-Based Vision Foundation Models for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Lequan Yu, Yong Liang, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2025 J jnl
TransXNet: Learning Both Global and Local Dynamics With a Dual Dynamic Token Mixer for Visual Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Meng Lou, Shu Zhang, Hong-Yu Zhou, Sibei Yang, Chuan Wu, Yizhou Yu
2025 — conf
Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs.
CHIL
Xiaoman Zhang, Julián Nicolás Acosta, Hong-Yu Zhou, Pranav Rajpurkar
2024 J jnl
A Generalist Learner for Multifaceted Medical Image Interpretation.
CoRR
Hong-Yu Zhou, Subathra Adithan, Julián Nicolás Acosta, Eric J. Topol, Pranav Rajpurkar
2024 J jnl
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective.
IEEE Trans. Pattern Anal. Mach. Intell.
Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu
2024 J jnl
Concepts and applications of digital twins in healthcare and medicine.
Patterns
Kang Zhang, Hong-Yu Zhou, Daniel T. Baptista-Hon, Yuanxu Gao, Xiaohong Liu, Eric K. Oermann, Sheng Xu, Shengwei Jin, Jian Zhang, Zhuo Sun, Yun Yin, Ronald M. Razmi, Alexandre Loupy, Stephan Beck, Jia Qu, Joseph Wu
2024 J jnl
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation.
CoRR
Fei Gao, Siwen Wang, Churan Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Gang Yu, Yizhou Yu
2024 — conf
Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation.
MICCAI (11)
Fei Gao, Siwen Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Churan Wang, Gang Yu, Yizhou Yu
2024 — conf
Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation.
MLHC
Oishi Banerjee, Hong-Yu Zhou, Kay Wu, Subathra Adithan, Stephen Kwak, Pranav Rajpurkar
2024 J jnl
Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation.
CoRR
Oishi Banerjee, Hong-Yu Zhou, Subathra Adithan, Stephen Kwak, Kay Wu, Pranav Rajpurkar
2024 — conf
Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques.
ISBI
Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang
2024 J jnl
Enhancing the medical foundation model with multi-scale and cross-modality feature learning.
CoRR
Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Shanshan Wang
2024 J jnl
Generalizable vision-language pre-training for annotation-free pathology localization.
CoRR
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Shanshan Wang
2024 J jnl
HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation.
CoRR
Julián N. Acosta, Xiaoman Zhang, Siddhant Dogra, Hong-Yu Zhou, Seyedmehdi Payabvash, Guido J. Falcone, Eric K. Oermann, Pranav Rajpurkar
2024 — conf
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model.
MICCAI (1)
Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
2024 J jnl
Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models.
CoRR
Chenyu Lian, Hong-Yu Zhou, Yizhou Yu, Liansheng Wang
2024 J jnl
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning.
CoRR
Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Shanshan Wang
2024 J jnl
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine.
CoRR
Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou
2024 — conf
Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning.
ISBI
Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang
2024 — conf
Multimodal Self-Supervised Learning for Lesion Localization.
ISBI
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Guangming Shi, Hairong Zheng, Qiegen Liu, Shanshan Wang
2024 J jnl
Multimodal self-supervised learning for lesion localization.
CoRR
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang
2024 J jnl
ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation.
CoRR
Xiaoman Zhang, Hong-Yu Zhou, Xiaoli Yang, Oishi Banerjee, Julián N. Acosta, Josh Miller, Ouwen Huang, Pranav Rajpurkar
2024 J jnl
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging.
CoRR
Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqing Zhang, Yizhou Yu
2024 — conf
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining.
MICCAI (9)
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024 J jnl
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining.
CoRR
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024 J jnl
Uncertainty Estimation of Large Language Models in Medical Question Answering.
CoRR
Jiaxin Wu, Yizhou Yu, Hong-Yu Zhou
2024 J jnl
Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs.
CoRR
Xiaoman Zhang, Julián N. Acosta, Hong-Yu Zhou, Pranav Rajpurkar
2023 J jnl
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics.
CoRR
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, Shu Zhang, Yuanxu Gao, Jia Pan, Jun Shao, Guangming Lu, Kang Zhang, Weimin Li
2023 J jnl
A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
2023 A* conf
Activate and Reject: Towards Safe Domain Generalization under Category Shift.
ICCV
Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu
2023 J jnl
Activate and Reject: Towards Safe Domain Generalization under Category Shift.
CoRR
Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu
2023 J jnl
Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training.
Neurocomputing
Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu
2023 A* conf
Advancing Radiograph Representation Learning with Masked Record Modeling.
ICLR
Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu
2023 J jnl
Advancing Radiograph Representation Learning with Masked Record Modeling.
CoRR
Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu
2023 A* conf
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models.
NeurIPS
Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang
2023 J jnl
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models.
CoRR
Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang
2023 J jnl
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis.
CoRR
Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu
2023 J jnl
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis.
CoRR
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
2023 J jnl
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling.
CoRR
Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu
2023 A* conf
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning.
ICLR
Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu
2023 J jnl
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
2023 J jnl
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer.
IEEE Trans. Image Process.
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Xiaoguang Han, Lequan Yu, Liansheng Wang, Yizhou Yu
2022 J jnl
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective.
CoRR
Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu
2022 J jnl
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training.
CoRR
Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu
2022 A* conf
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning.
CVPR
Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
2022 J jnl
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning.
CoRR
Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
2022 J jnl
Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting.
ISPRS Int. J. Geo Inf.
Chi Zhang, Hong-Yu Zhou, Qiang Qiu, Zhichun Jian, Daoye Zhu, Chengqi Cheng, Liesong He, Guoping Liu, Xiang Wen, Runbo Hu
2022 J jnl
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases.
npj Digit. Medicine
Chengdi Wang, Jiechao Ma, Shu Zhang, Jun Shao, Yanyan Wang, Hong-Yu Zhou, Lujia Song, Jie Zheng, Yizhou Yu, Weimin Li
2022 J jnl
Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports.
Nat. Mach. Intell.
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu
2022 J jnl
GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis.
IEEE Trans. Medical Imaging
Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu
2022 J jnl
MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images.
Medical Image Anal.
Xiaoyu Chen, Hong-Yu Zhou, Feng Liu, Jiansen Guo, Liansheng Wang, Yizhou Yu
2022 J jnl
Position-Aware Anti-Aliasing Filters for 3D Medical Image Analysis.
IEEE Access
Stanley T. Yu, Hong-Yu Zhou
2022 — conf
ProCo: Prototype-Aware Contrastive Learning for Long-Tailed Medical Image Classification.
MICCAI (8)
Zhixiong Yang, Junwen Pan, Yanzhan Yang, Xiaozhou Shi, Hong-Yu Zhou, Zhicheng Zhang, Cheng Bian
2022 J jnl
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification.
CoRR
Zhixiong Yang, Junwen Pan, Yanzhan Yang, Xiaozhou Shi, Hong-Yu Zhou, Zhicheng Zhang, Cheng Bian
2022 J jnl
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection.
CoRR
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
2022 — conf
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture.
MICAD
Jiansen Guo, Hong-Yu Zhou, Liansheng Wang, Yizhou Yu
2022 J jnl
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture.
CoRR
Jiansen Guo, Hong-Yu Zhou, Liansheng Wang, Yizhou Yu
2021 A* conf
Bottom-Up Shift and Reasoning for Referring Image Segmentation.
CVPR
Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, Yizhou Yu
2021 — conf
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
ICCVW
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu
2021 J jnl
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
CoRR
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu
2021 J jnl
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge.
Medical Image Anal.
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
2021 J jnl
Evidential evolving C-means clustering method based on artificial bee colony algorithm with variable strings and interactive evaluation mode.
Fuzzy Optim. Decis. Mak.
Zhi-gang Su, Hong-Yu Zhou, Yong-sheng Hao
2021 — conf
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation.
IPMI
Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng
2021 J jnl
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation.
CoRR
Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng
2021 J jnl
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports.
CoRR
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu
2021 J jnl
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition.
IEEE Trans. Image Process.
Bin-Bin Gao, Hong-Yu Zhou
2021 J jnl
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures.
CoRR
Luyan Liu, Zhiwei Wen, Songwei Liu, Hong-Yu Zhou, Hongwei Zhu, Weicheng Xie, Linlin Shen, Kai Ma, Yefeng Zheng
2021 J jnl
Newton-based matrix splitting method for generalized absolute value equation.
J. Comput. Appl. Math.
Hong-Yu Zhou, Shi-Liang Wu, Cui-Xia Li
2021 A* conf
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts.
ICCV
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu
2021 J jnl
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts.
CoRR
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu
2021 J jnl
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation.
CoRR
Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu
2021 J jnl
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation.
Medical Image Anal.
Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu
2021 J jnl
nnFormer: Interleaved Transformer for Volumetric Segmentation.
CoRR
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu
2020 — conf
A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation.
MICCAI (5)
Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng
2020 J jnl
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation.
CoRR
Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng
2020 J jnl
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations.
CoRR
Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng
2020 — conf
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations.
MICCAI (1)
Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng
2020 — conf
Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling.
MICCAI (1)
Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng
2020 J jnl
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling.
CoRR
Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng
2020 J jnl
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation.
CoRR
Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng
2020 J jnl
Multi-Label Image Recognition with Multi-Class Attentional Regions.
CoRR
Bin-Bin Gao, Hong-Yu Zhou
2019 J jnl
CodeAttention: translating source code to comments by exploiting the code constructs.
Frontiers Comput. Sci.
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
2019 — conf
Seg4Reg Networks for Automated Spinal Curvature Estimation.
CSI@MICCAI
Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng
2019 J jnl
ThiNet: Pruning CNN Filters for a Thinner Net.
IEEE Trans. Pattern Anal. Mach. Intell.
Jian-Hao Luo, Hao Zhang, Hong-Yu Zhou, Chen-Wei Xie, Jianxin Wu, Weiyao Lin
2018 A* conf
Age Estimation Using Expectation of Label Distribution Learning.
IJCAI
Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng
2018 J jnl
Vortex Pooling: Improving Context Representation in Semantic Segmentation.
CoRR
Chen-Wei Xie, Hong-Yu Zhou, Jianxin Wu
2018 J jnl
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets.
CoRR
Hong-Yu Zhou, Avital Oliver, Jianxin Wu, Yefeng Zheng
2017 A* conf
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors.
ICCV
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2017 J jnl
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors.
CoRR
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2017 J jnl
Code Attention: Translating Code to Comments by Exploiting Domain Features.
CoRR
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
2017 — conf
Content-Based Image Recovery.
PCM (2)
Hong-Yu Zhou, Jianxin Wu
2017 A conf
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition.
BMVC
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2017 J jnl
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition.
CoRR
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2012 J jnl
Diffusion tensor imaging characterization of occult brain damage in relapsing neuromyelitis optica using 3.0T magnetic resonance imaging techniques.
NeuroImage
Dai-Di Zhao, Hong-Yu Zhou, Qizhu Wu, Ju Liu, Xiuying Chen, Dian He, Xiaofei He, Wen-Jie Han, Qiyong Gong
2011 J jnl
Passively self-error-rejecting qubit transmission over a collective-noise channel.
Quantum Inf. Comput.
Fu-Guo Deng, Xi-Han Li, Hong-Yu Zhou
2010 J jnl
Single-photon entanglement concentration for long-distance quantum communication.
Quantum Inf. Comput.
Yu-Bo Sheng, Fu-Guo Deng, Hong-Yu Zhou