Yizhou Yu

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 302

Top Venues

CoRR

CVPR

ICCV

IEEE Trans. Image Process.

Publications

Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu
Leveraging Frequency Domain Learning in 3D Vessel Segmentation. CoRR (2024)
Jichang Li, Guanbin Li, Yizhou Yu
Inter-Domain Mixup for Semi-Supervised Domain Adaptation. CoRR (2024)
Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han
SketchMetaFace: A Learning-Based Sketching Interface for High-Fidelity 3D Character Face Modeling. IEEE Trans. Vis. Comput. Graph. 30 (8) (2024)
Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation. CoRR (2024)
Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu
RegionGPT: Towards Region Understanding Vision Language Model. CoRR (2024)
Yunxiang Fu, Chaoqi Chen, Yu Qiao, Yizhou Yu
DreamDA: Generative Data Augmentation with Diffusion Models. CoRR (2024)
Haoyu Ma, Xiangru Lin, Yizhou Yu
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. AAAI (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)
Jichang Li, Guanbin Li, Yizhou Yu
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation. CoRR (2024)
Jichang Li, Guanbin Li, Yizhou Yu
Inter-domain mixup for semi-supervised domain adaptation. Pattern Recognit. 146 (2024)
Gangming Zhao, Chaoqi Chen, Wenhao He, Chengwei Pan, Chaowei Fang, Jinpeng Li, Xilin Chen, Yizhou Yu
Progressive Conservative Adaptation for Evolving Target Domains. CoRR (2024)
Jiaxin Wu, Yizhou Yu, Hong-Yu Zhou
Uncertainty Estimation of Large Language Models in Medical Question Answering. CoRR (2024)
Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu
Correction to "A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation". IEEE Trans. Medical Imaging 43 (2) (2024)
Jingna Xie, Yingshuo Wang, Qiuyang Sheng, Xiaoqing Liu, Jing Li, Fenglei Sun, Yuqi Wang, Shuxian Li, Yiming Li, Yizhou Yu, Gang Yu
Identification of mycoplasma pneumonia in children based on fusion of multi-modal clinical free-text description and structured test data. Health Informatics J. 30 (2) (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)
Penghua Zhai, Huaiwei Cong, Enwei Zhu, Gangming Zhao, Yizhou Yu, Jinpeng Li
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Hao Wang, Qiang Song, Ruofeng Yin, Rui Ma, Yizhou Yu, Yi Chang
B-Spine: Learning B-Spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation. CoRR (2023)
Ruifei Zhang, Sishuo Liu, Yizhou Yu, Guanbin Li
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation. CoRR (2023)
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)
Xingxin Xu, Qikui Zhu, Hanning Ying, Jiongcheng Li, Xiujun Cai, Shuo Li, Xiaoqing Liu, Yizhou Yu
A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images. IEEE J. Biomed. Health Informatics 27 (1) (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)
Taiping Qu, Xiuli Li, Xiheng Wang, Wenyi Deng, Li Mao, Ming He, Xiao Li, Yun Wang, Zaiyi Liu, Longjiang Zhang, Zhengyu Jin, Huadan Xue, Yizhou Yu
Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation. Medical Image Anal. 86 (2023)
Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation. CoRR (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)
Chenghong Li, Leyang Jin, Yujian Zheng, Yizhou Yu, Xiaoguang Han
EMS: 3D Eyebrow Modeling from Single-view Images. CoRR (2023)
Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo
EGC: Image Generation and Classification via a Diffusion Energy-Based Model. CoRR (2023)
Chenghong Li, Leyang Jin, Yujian Zheng, Yizhou Yu, Xiaoguang Han
EMS: 3D Eyebrow Modeling from Single-View Images. ACM Trans. Graph. 42 (6) (2023)
Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning. 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)
Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu
Improved Distribution Matching for Dataset Condensation. CoRR (2023)
Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu
Advancing Radiograph Representation Learning with Masked Record Modeling. CoRR (2023)
Meng Lou, Hongyu Zhou, Sibei Yang, Yizhou Yu
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition. CoRR (2023)
Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu
Advancing Radiograph Representation Learning with Masked Record Modeling. ICLR (2023)
Ruikun Li, Chengyang An, Shuxin Wang, Guisheng Wang, Lifeng Zhao, Yizhou Yu, Lisheng Wang
A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors. Int. J. Comput. Assist. Radiol. Surg. 18 (12) (2023)
Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang
MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence. CVPR (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)
Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu
Improved Distribution Matching for Dataset Condensation. CVPR (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)
Haoyu Ma, Xiangru Lin, Yizhou Yu
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation. CoRR (2023)
Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation. IEEE Trans. Medical Imaging 42 (1) (2023)
Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge
RankDNN: Learning to Rank for Few-Shot Learning. AAAI (2023)
Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo
EGC: Image Generation and Classification via a Diffusion Energy-Based Model. ICCV (2023)
Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han
SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling. CoRR (2023)
Qiushan Guo, Yizhou Yu, Yi Jiang, Jiannan Wu, Zehuan Yuan, Ping Luo
Multi-Level Contrastive Learning for Dense Prediction Task. CoRR (2023)
Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu
Adaptive Context Selection for Polyp Segmentation. CoRR (2023)
Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis. CoRR (2023)
Lingfeng Li, Gangming Zhao, Yizhou Yu, Jinpeng Li
Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography. ACM Multimedia (2023)
Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu, Shuguang Cui
Geometry-Aware Network for Domain Adaptive Semantic Segmentation. AAAI (2023)
Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu
Leveraging Frequency Domain Learning in 3D Vessel Segmentation. BIBM (2023)
Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Zhizheng Zhuo, Yunyun Duan, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Yaou Liu, Chuyang Ye
CarveMix: A simple data augmentation method for brain lesion segmentation. NeuroImage 271 (2023)
Jichang Li, Guanbin Li, Yizhou Yu
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation. IEEE Trans. Image Process. 32 (2023)
Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
Learning Domain-Agnostic Representation for Disease Diagnosis. ICLR (2023)
Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. CoRR (2023)
Jingpeng Sun, Rongxiao Wang, Gangming Zhao, Chen Chen, Yixiao Qu, Jinpeng Li, Xiyuan Hu, Yizhou Yu
START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer. BIBM (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)
Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation. NeurIPS (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)
Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu
Neighborhood Collective Estimation for Noisy Label Identification and Correction. ECCV (24) (2022)
Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement. CoRR (2022)
Baolian Qi, Gangming Zhao, Xin Wei, Changde Du, Chengwei Pan, Yizhou Yu, Jinpeng Li
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images. IEEE J. Biomed. Health Informatics 26 (10) (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)
Qianyu Guo, Hongtong Gong, Xujun Wei, Yanwei Fu, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
RankDNN: Learning to Rank for Few-shot Learning. CoRR (2022)
Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo
Scale-Equivalent Distillation for Semi-Supervised Object Detection. CVPR (2022)
Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis. CoRR (2022)
Chu-ran Wang, Fei Gao, Fandong Zhang, Fangwei Zhong, Yizhou Yu, Yizhou Wang
Disentangling Disease-related Representation from Obscure for Disease Prediction. ICML (2022)
Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu
BOAT: Bilateral Local Attention Vision Transformer. CoRR (2022)
Jianwei Xu, Qingwei Zhang, Yizhou Yu, Ran Zhao, Xianzhang Bian, Xiaoqing Liu, Jun Wang, Zhizheng Ge, Dahong Qian
Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection. Comput. Methods Programs Biomed. 214 (2022)
Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement. ECCV (21) (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)
Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu, John W. Paisley
Few-shot medical image segmentation using a global correlation network with discriminative embedding. Comput. Biol. Medicine 140 (2022)
Haoyu Ma, Bingchen Gong, Yizhou Yu
Structure-aware Meta-fusion for Image Super-resolution. ACM Trans. Multim. Comput. Commun. Appl. 18 (2) (2022)
Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu
A Causal Inference Look at Unsupervised Video Anomaly Detection. AAAI (2022)
Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu
Neighborhood Collective Estimation for Noisy Label Identification and Correction. CoRR (2022)
Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu
BOAT: Bilateral Local Attention Vision Transformer. BMVC (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)
Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo
Scale-Equivalent Distillation for Semi-Supervised Object Detection. CoRR (2022)
Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu
A Causal Debiasing Framework for Unsupervised Salient Object Detection. AAAI (2022)
Chenxin Li, Xin Lin, Yijin Mao, Wei Lin, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu
Domain generalization on medical imaging classification using episodic training with task augmentation. Comput. Biol. Medicine 141 (2022)
Kehan Lin, Yizhou Yu
Causal associations between neuroinflammation and Alzheimer's disease risk. ICBBS (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)
Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu
Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis. IEEE Trans. Medical Imaging 41 (9) (2022)
Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels. ECCV (25) (2022)
Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu
Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation. Neural Comput. Appl. 34 (4) (2022)
Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. CoRR (2022)
Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels. CoRR (2022)
Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. NeurIPS (2022)
Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu
Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. MICCAI (1) (2022)
Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu
Compound Domain Generalization via Meta-Knowledge Encoding. 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)
Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. CoRR (2022)
Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu
Compound Domain Generalization via Meta-Knowledge Encoding. CVPR (2022)
Yinghong Liao, Wending Zhou, Xu Yan, Shuguang Cui, Yizhou Yu, Zhen Li
Geometry-Aware Network for Domain Adaptive Semantic Segmentation. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yizhou Yu