Visual tracking based on weighted subspace reconstruction error. - Tao Zhou 002; Junhao Zhang; Kai Xie; Jie Yang 002; Xiangjian He (ICIP, 2014)

Visual tracking via graph-based efficient manifold ranking with low-dimensional compressive features. - Tao Zhou 002; Xiangjian He; Kai Xie; Keren Fu; Junhao Zhang; Jie Yang 002 (ICME, 2014)

Small target detection using an optimization-based filter. - Kai Xie; Keren Fu; Tao Zhou 002; Jie Yang 002; Qiang Wu 001; Xiangjian He (ICASSP, 2015)

Visual Tracking via Nonnegative Regularization Multiple Locality Coding. - Fanghui Liu 001; Tao Zhou 002; Jie Yang 002; Irene Y. H. Gu (ICCV Workshops, 2015)

Online learning of multi-feature weights for robust object tracking. - Tao Zhou 002; Harish Bhaskar; Kai Xie; Jie Yang 002; Xiangjian He; Pengfei Shi (ICIP, 2015)

Crowd modeling framework using fast head detection and shape-aware matching. - Tao Zhou 002; Jie Yang 002; Artur Loza; Harish Bhaskar; Mohammed E. Al-Mualla (J. Electronic Imaging, 2015)

Robust object tracking based on weighted subspace reconstruction error with forward: backward tracking criterion. - Tao Zhou 002; Kai Xie; Junhao Zhang; Jie Yang 002; Xiangjian He (J. Electronic Imaging, 2015)

Robust visual tracking via efficient manifold ranking with low-dimensional compressive features. - Tao Zhou 002; Xiangjian He; Kai Xie; Keren Fu; Junhao Zhang; Jie Yang 002 (Pattern Recognit., 2015)

Robust visual tracking via inverse nonnegative matrix factorization. - Fanghui Liu 001; Tao Zhou 002; Keren Fu; Irene Y. H. Gu; Jie Yang 002 (ICASSP, 2016)

Correlation filter tracking via bootstrap learning. - Kunqi Gu; Tao Zhou 002; Fanghui Liu 001; Jie Yang 002; Yu Qiao 003 (ICIP, 2016)

Incremental Robust Nonnegative Matrix Factorization for Object Tracking. - Fanghui Liu 001; Mingna Liu; Tao Zhou 002; Yu Qiao 003; Jie Yang 002 (ICONIP (2), 2016)

Geometric affine transformation estimation via correlation filter for visual tracking. - Fanghui Liu 001; Tao Zhou 002; Jie Yang 002 (Neurocomputing, 2016)

Robust visual tracking via constrained correlation filter coding. - Fanghui Liu 001; Tao Zhou 002; Keren Fu; Jie Yang 002 (Pattern Recognit. Lett., 2016)

Visual tracking via structural patch-based dictionary pair learning. - Tao Zhou 002; Fanghui Liu 001; Harish Bhaskar; Jie Yang 002; Lei Chen; Ping Cai (ICIP, 2017)

Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis. - Tao Zhou 002; Kim-Han Thung; Xiaofeng Zhu 001; Dinggang Shen (MLMI@MICCAI, 2017)

Online learning and joint optimization of combined spatial-temporal models for robust visual tracking. - Tao Zhou 002; Harish Bhaskar; Fanghui Liu 001; Jie Yang 002; Ping Cai (Neurocomputing, 2017)

Kernelized temporal locality learning for real-time visual tracking. - Fanghui Liu 001; Tao Zhou 002; Keren Fu; Jie Yang 002 (Pattern Recognit. Lett., 2017)

Graph Regularized and Locality-Constrained Coding for Robust Visual Tracking. - Tao Zhou 002; Harish Bhaskar; Fanghui Liu 001; Jie Yang 002 (IEEE Trans. Circuits Syst. Video Technol., 2017)

Visual Tracking via Nonnegative Multiple Coding. - Fanghui Liu 001; Chen Gong 002; Tao Zhou 002; Keren Fu; Xiangjian He; Jie Yang 002 (IEEE Trans. Multim., 2017)

Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. - Changqing Zhang; Ehsan Adeli 001; Tao Zhou 002; Xiaobo Chen 001; Dinggang Shen (AAAI, 2018)

Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. - Yongsheng Pan; Mingxia Liu 001; Chunfeng Lian; Tao Zhou 002; Yong Xia 001; Dinggang Shen (MICCAI (3), 2018)

Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. - Tao Zhou 002; Kim-Han Thung; Mingxia Liu 001; Feng Shi 001; Changqing Zhang; Dinggang Shen (PRIME@MICCAI, 2018)

Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification. - Na Liu 007; Lihong Wan; Yu Zhang 009; Tao Zhou 002; Hong Huo; Tao Fang (IEEE Access, 2018)

Online discriminative dictionary learning for robust object tracking. - Tao Zhou 002; Fanghui Liu 001; Harish Bhaskar; Jie Yang 002; Huanlong Zhang; Ping Cai (Neurocomputing, 2018)

Inverse Nonnegative Local Coordinate Factorization for Visual Tracking. - Fanghui Liu 001; Tao Zhou 002; Chen Gong 002; Keren Fu; Li Bai 001; Jie Yang 002 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Robust Visual Tracking via Online Discriminative and Low-Rank Dictionary Learning. - Tao Zhou 002; Fanghui Liu 001; Harish Bhaskar; Jie Yang 002 (IEEE Trans. Cybern., 2018)

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. - Fanghui Liu 001; Chen Gong 002; Xiaolin Huang; Tao Zhou 002; Jie Yang 002; Dacheng Tao (IEEE Trans. Image Process., 2018)

Adapting Random Forest Classifier Based on Single and Multiple Features for Surface Electromyography Signal Recognition. - Tao Zhou 002; Olatunji Mumini Omisore; Wenjing Du; Lei Wang 029; Yuan Zhang (CISP-BMEI, 2019)

Learning-based Parameter Estimation for Hysteresis Modeling in Robotic Catheterization. - Olatunji Mumini Omisore; Shipeng Han; Tao Zhou 002; Yousef Al-Handarish; Wenjing Du; Kamen Ivanov; Lei Wang 029 (EMBC, 2019)

A Preliminary Study on Surface Electromyography Signal Analysis for Motion Characterization During Catheterization. - Tao Zhou 002; Olatunji Mumini Omisore; Wenjing Du; Wenke Duan; Yuan Zhang; Lei Wang 029 (ICIRA (3), 2019)

Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction. - Tao Zhou 002; Kim-Han Thung; Yu Zhang 009; Huazhu Fu; Jianbing Shen; Dinggang Shen; Ling Shao 001 (MICCAI (4), 2019)

Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis. - Jun Wang 024; Ying Zhang; Tao Zhou 002; Zhaohong Deng; Huifang Huang; Shitong Wang 001; Jun Shi 004; Dinggang Shen (MICCAI (3), 2019)

Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis. - Tao Zhou 002; Mingxia Liu 001; Huazhu Fu; Jun Wang 024; Jianbing Shen; Ling Shao 001; Dinggang Shen (MICCAI (4), 2019)

Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model. - Tao Zhou 002; Kim-Han Thung; Mingxia Liu 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data. - Tao Zhou 002; Mingxia Liu 001; Kim-Han Thung; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. - Tao Zhou 002; Huazhu Fu; Chen Gong 002; Jianbing Shen; Ling Shao 001; Fatih Porikli (CVPR, 2020)

Automatic Polyp Segmentation via Parallel Reverse Attention Network. - Ge-Peng Ji; Deng-Ping Fan; Tao Zhou 002; Geng Chen 001; Huazhu Fu; Ling Shao 001 (MediaEval, 2020)

PraNet: Parallel Reverse Attention Network for Polyp Segmentation. - Deng-Ping Fan; Ge-Peng Ji; Tao Zhou 002; Geng Chen 001; Huazhu Fu; Jianbing Shen; Ling Shao 001 (MICCAI (6), 2020)

M2 Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. - Tao Zhou 002; Huazhu Fu; Yu Zhang 009; Changqing Zhang; Xiankai Lu; Jianbing Shen; Ling Shao 001 (MICCAI (2), 2020)

Exploration of Interventionists' Technical Manipulation Skills for Robot-Assisted Intravascular PCI Catheterization. - Wenjing Du; Olatunji Mumini Omisore; Wenke Duan; Tao Zhou 002; Xiaodan Lv; Yifa Li; Shipeng Han; Yousef Al-Handarish; Qiuhua Liu; Lei Wang 029 (IEEE Access, 2020)

Exploration of Surgeons' Natural Skills for Robotic Catheterization. - Olatunji Mumini Omisore; Wenjing Du; Tao Zhou 002; Shipeng Han; Kamen Ivanov; Yousef Al-Handarish; Lei Wang 029 (CoRR, 2020)

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. - Deng-Ping Fan; Tao Zhou 002; Ge-Peng Ji; Yi Zhou 007; Geng Chen 001; Huazhu Fu; Jianbing Shen; Ling Shao 001 (CoRR, 2020)

M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. - Tao Zhou 002; Huazhu Fu; Yu Zhang 009; Changqing Zhang; Xiankai Lu; Jianbing Shen; Ling Shao 001 (CoRR, 2020)

Multi-level Cross-modal Interaction Network for RGB-D Salient Object Detection. - Zhou Huang; Huai-Xin Chen; Tao Zhou 002; Yun-Zhi Yang; Chang-Yin Wang (CoRR, 2020)

Improving EEG Decoding via Clustering-based Multi-task Feature Learning. - Yu Zhang 009; Tao Zhou 002; Wei Wu 022; Hua Xie; Hongru Zhu; Guoxu Zhou; Andrzej Cichocki (CoRR, 2020)

Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. - Tao Zhou 002; Kim-Han Thung; Mingxia Liu 001; Feng Shi 001; Changqing Zhang; Dinggang Shen (Medical Image Anal., 2020)

Synthesizing Talking Faces from Text and Audio: An Autoencoder and Sequence-to-Sequence Convolutional Neural Network. - Na Liu 007; Tao Zhou 002; Yunfeng Ji; Ziyi Zhao; Lihong Wan (Pattern Recognit., 2020)

Multiview Latent Space Learning With Feature Redundancy Minimization. - Tao Zhou 002; Changqing Zhang; Chen Gong 002; Harish Bhaskar; Jie Yang 002 (IEEE Trans. Cybern., 2020)

Dual Shared-Specific Multiview Subspace Clustering. - Tao Zhou 002; Changqing Zhang; Xi Peng 001; Harish Bhaskar; Jie Yang 002 (IEEE Trans. Cybern., 2020)

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images. - Deng-Ping Fan; Tao Zhou 002; Ge-Peng Ji; Yi Zhou 007; Geng Chen 001; Huazhu Fu; Jianbing Shen; Ling Shao 001 (IEEE Trans. Medical Imaging, 2020)

Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis. - Tao Zhou 002; Huazhu Fu; Geng Chen 001; Jianbing Shen; Ling Shao 001 (IEEE Trans. Medical Imaging, 2020)

Specificity-preserving RGB-D Saliency Detection. - Tao Zhou 002; Huazhu Fu; Geng Chen 001; Yi Zhou 007; Deng-Ping Fan; Ling Shao 001 (ICCV, 2021)

CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. - Yi Zhou 007; Lei Huang 015; Tao Zhou 002; Ling Shao 001 (ICCV, 2021)

Visual-Textual Attentive Semantic Consistency for Medical Report Generation. - Yi Zhou 007; Lei Huang 015; Tao Zhou 002; Huazhu Fu; Ling Shao 001 (ICCV, 2021)

Context-aware Cross-level Fusion Network for Camouflaged Object Detection. - Yujia Sun; Geng Chen 001; Tao Zhou 002; Yi Zhang 076; Nian Liu (IJCAI, 2021)

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images. - Xukun Zhang; Zhiming Cui; Changan Chen; Jie Wei; Jingjiao Lou; Wenxin Hu; He Zhang; Tao Zhou 002; Feng Shi 001; Dinggang Shen (MICCAI (3), 2021)

Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation. - Kelei He; Wen Ji; Tao Zhou 002; Zhuoyuan Li; Jing Huo; Xin Zhang 013; Yang Gao 001; Dinggang Shen; Bing Zhang 012; Junfeng Zhang (CoRR, 2021)

RGB-D salient object detection: A survey. - Tao Zhou 002; Deng-Ping Fan; Ming-Ming Cheng; Jianbing Shen; Ling Shao 001 (Comput. Vis. Media, 2021)

Multi-level cross-modal interaction network for RGB-D salient object detection. - Zhou Huang; Huai-Xin Chen; Tao Zhou 002; Yun-Zhi Yang; Bi-Yuan Liu (Neurocomputing, 2021)

Incomplete multi-modal representation learning for Alzheimer's disease diagnosis. - Yanbei Liu; Lianxi Fan; Changqing Zhang; Tao Zhou 002; Zhitao Xiao; Lei Geng; Dinggang Shen (Medical Image Anal., 2021)

Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images. - Xiaocong Chen; Lina Yao 001; Tao Zhou 002; Jinming Dong; Yu Zhang 009 (Pattern Recognit., 2021)

Contrast-weighted dictionary learning based saliency detection for VHR optical remote sensing images. - Zhou Huang; Huai-Xin Chen; Tao Zhou 002; Yun-Zhi Yang; Chang-Yin Wang; Bi-Yuan Liu (Pattern Recognit., 2021)

Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning. - Yi Zhou 007; Tianfei Zhou; Tao Zhou 002; Huazhu Fu; Jiacheng Liu 011; Ling Shao 001 (IEEE Trans. Medical Imaging, 2021)

Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis. - Yi Zhou 007; Shaochen Bai; Tao Zhou 002; Yu Zhang 009; Huazhu Fu (MICCAI (8), 2022)

Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation. - Yongliang Ding; Tao Zhou 002; Chuang Zhang; Yijing Luo; Juan Tang; Chen Gong 002 (SDM, 2022)

Learning high dimensional stochastic partial differential equations in a predictor-corrector framework. - He Zhang; Ran Zhang; Tao Zhou 002 (CoRR, 2022)

Prompt-driven efficient Open-set Semi-supervised Learning. - Haoran Li; Chun-Mei Feng 001; Tao Zhou 002; Yong Xu 001; Xiaojun Chang (CoRR, 2022)

SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis. - Yonghao Li; Tao Zhou 002; Kelei He; Yi Zhou 007; Dinggang Shen (CoRR, 2022)

Light field salient object detection: A review and benchmark. - Keren Fu; Yao Jiang 002; Ge-Peng Ji; Tao Zhou 002; Qijun Zhao; Deng-Ping Fan (Comput. Vis. Media, 2022)

Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI. - Lei Zhou 003; Shuai Wang; Kun Sun; Tao Zhou 002; Fuhua Yan; Dinggang Shen (Pattern Recognit., 2022)

Camouflaged Object Detection via Context-Aware Cross-Level Fusion. - Geng Chen 001; Sijie Liu; Yujia Sun; Ge-Peng Ji; Ya-Feng Wu; Tao Zhou 002 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Marine Animal Segmentation. - Lin Li 057; Bo Dong 001; Eric Rigall; Tao Zhou 002; Junyu Dong; Geng Chen 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels. - Shengwei Zhong 001; Tao Zhou 002; Sheng Wan; Jian Yang 003; Chen Gong 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Feature Aggregation and Propagation Network for Camouflaged Object Detection. - Tao Zhou 002; Yi Zhou 007; Chen Gong 002; Jian Yang 003; Yu Zhang 009 (IEEE Trans. Image Process., 2022)

Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation. - Feiyi Fang; Yazhou Yao; Tao Zhou 002; Guo-Sen Xie; Jianfeng Lu 003 (IEEE J. Biomed. Health Informatics, 2022)

Guest Editorial Generative Adversarial Networks in Biomedical Image Computing. - Huazhu Fu; Tao Zhou 002; Shuo Li 001; Alejandro F. Frangi (IEEE J. Biomed. Health Informatics, 2022)

Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities. - Xiangmin Han; Xiaoyan Fei; Jun Wang 024; Tao Zhou 002; Shihui Ying; Jun Shi 004; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Improving EEG Decoding via Clustering-Based Multitask Feature Learning. - Yu Zhang 009; Tao Zhou 002; Wei Wu 022; Hua Xie; Hongru Zhu; Guoxu Zhou; Andrzej Cichocki (IEEE Trans. Neural Networks Learn. Syst., 2022)

Cross-contrast Fusion and Aggregation Network for Multi-contrast MRI Super-resolution. - Yue Ding; Tao Zhou 002; Ye Wu 001 (ICCAI, 2023)

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model. - Yizhe Zhang 001; Tao Zhou 002; Shuo Wang 011; Peixian Liang; Yejia Zhang; Danny Z. Chen (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Self-Paced Learning for Open-Set Domain Adaptation. - Xinghong Liu; Yi Zhou 007; Tao Zhou 002; Jie Qin; Shengcai Liao (CoRR, 2023)

Can SAM Segment Polyps? - Tao Zhou 002; Yizhe Zhang 001; Yi Zhou 007; Ye Wu 001; Chen Gong 002 (CoRR, 2023)

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model. - Yizhe Zhang 001; Tao Zhou 002; Peixian Liang; Danny Z. Chen (CoRR, 2023)

COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype. - Xinghong Liu; Yi Zhou 007; Tao Zhou 002; Chun-Mei Feng 001; Ling Shao 001 (CoRR, 2023)

SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation. - Yizhe Zhang 001; Tao Zhou 002; Shuo Wang 011; Ye Wu 001; Pengfei Gu; Danny Z. Chen (CoRR, 2023)

Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation. - Yiming Zhao; Tao Zhou 002; Yunqi Gu; Yi Zhou 007; Yizhe Zhang 001; Ye Wu 001; Huazhu Fu (CoRR, 2023)

SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model. - Yizhe Zhang 001; Shuo Wang 011; Tao Zhou 002; Qi Dou 001; Danny Z. Chen (CoRR, 2023)

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation. - Yunqi Gu; Tao Zhou 002; Yizhe Zhang 001; Yi Zhou 007; Kelei He; Chen Gong 002; Huazhu Fu (CoRR, 2023)

Specificity-preserving RGB-D saliency detection. - Tao Zhou 002; Deng-Ping Fan; Geng Chen 001; Yi Zhou 007; Huazhu Fu (Comput. Vis. Media, 2023)

Consistency and Diversity Induced Human Motion Segmentation. - Tao Zhou 002; Huazhu Fu; Chen Gong 002; Ling Shao 001; Fatih Porikli; Haibin Ling; Jianbing Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Zero-Shot Camouflaged Object Detection. - Haoran Li; Chun-Mei Feng 001; Yong Xu 001; Tao Zhou 002; Lina Yao 001; Xiaojun Chang (IEEE Trans. Image Process., 2023)

MMCAN: Multi-Modal Cross-Attention Network for Free-Space Detection with Uncalibrated Hyperspectral Sensors. - Feiyi Fang; Tao Zhou 002; Zhenbo Song; Jianfeng Lu 003 (Remote. Sens., 2023)

Combating medical noisy labels by disentangled distribution learning and consistency regularization. - Yi Zhou 007; Lei Huang 015; Tao Zhou 002; Hanshi Sun (Future Gener. Comput. Syst., 2023)

A Structure-Guided Effective and Temporal-Lag Connectivity Network for Revealing Brain Disorder Mechanisms. - Zhengwang Xia; Tao Zhou 002; Saqib Mamoon; Amani Alfakih; Jianfeng Lu 003 (IEEE J. Biomed. Health Informatics, 2023)

Automatic Schelling Point Detection From Meshes. - Geng Chen 001; Hang Dai; Tao Zhou 002; Jianbing Shen; Ling Shao 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation. - Hengyi Yang; Tao Zhou 002; Yi Zhou 007; Yizhe Zhang 001; Huazhu Fu (IEEE J. Biomed. Health Informatics, 2023)

Cross-level Feature Aggregation Network for Polyp Segmentation. - Tao Zhou 002; Yi Zhou 007; Kelei He; Chen Gong 002; Jian Yang 003; Huazhu Fu; Dinggang Shen (Pattern Recognit., 2023)

Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. - Geng Chen 001; Jie Qin; Boulbaba Ben Amor; Weiming Zhou; Hang Dai; Tao Zhou 002; Heyuan Huang; Ling Shao 001 (IEEE Trans. Medical Imaging, 2023)

Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis. - Yonghao Li; Tao Zhou 002; Kelei He; Yi Zhou 007; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

MedSegViG: Medical Image Segmentation with a Vision Graph Neural Network. - Xinhong Li; Geng Chen 001; Yuanfeng Wu; Junqing Yang; Tao Zhou 002; Yi Zhou 007; Wentao Zhu 002 (BIBM, 2024)

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation. - Yuxiang Lai; Yi Zhou 007; Xinghong Liu; Tao Zhou 002 (ICLR, 2024)

SMNET: A Spherical Mean Network for Probing Tissue Microarchitecture from Single-Shell DMRI. - Ye Wu 001; Yue Ding; Xiaoming Liu; Jiaolong Qin; Yizhe Zhang 001; Yoonmi Hong; Tao Zhou 002 (ISBI, 2024)

Bilateral Cross-Modal Fusion Network for Multimodal Whole-Body Tumor Segmentation. - Tao Yu; Xinrui Zhan; Lei Xiang; Xin Gao; Tao Zhou 002 (ISBI, 2024)

Transduction Enhanced Inductive Inference for Imbalanced Classification in Medical Images. - Yizhe Zhang 001; Tao Zhou 002; Ye Wu 001; Shuo Wang 011; Danny Z. Chen (ISBI, 2024)

MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. - Ruiqi Wu; Chenran Zhang; Jianle Zhang; Yi Zhou 007; Tao Zhou 002; Huazhu Fu (MICCAI (1), 2024)

Customized Relationship Graph Neural Network for Brain Disorder Identification. - Zhengwang Xia; Huan Wang; Tao Zhou 002; Zhuqing Jiao; Jianfeng Lu 003 (MICCAI (2), 2024)

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues. - Yuxin Xie; Tao Zhou 002; Yi Zhou 007; Geng Chen 001 (MICCAI (8), 2024)

Holistic Consistency for Subject-Level Segmentation Quality Assessment in Medical Image Segmentation. - Yizhe Zhang 001; Tao Zhou 002; Qiang Chen 004; Qi Dou 001; Shuo Wang 011 (UNSURE@MICCAI, 2024)

TextPolyp: Point-Supervised Polyp Segmentation with Text Cues. - Yiming Zhao; Yi Zhou 007; Yizhe Zhang 001; Ye Wu 001; Tao Zhou 002 (MICCAI (11), 2024)

Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation. - Yizhe Zhang 001; Tao Zhou 002; Ye Wu 001; Pengfei Gu; Shuo Wang 011 (PRCV (14), 2024)

Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation. - Tianyu Huang; Tao Zhou 002; Weidi Xie; Shuo Wang 011; Qi Dou 001; Yizhe Zhang 001 (CoRR, 2024)

Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images. - Ahjol Senbi; Tianyu Huang; Fei Lyu 004; Qing Li 001; Yuhui Tao; Wei Shao; Qiang Chen 004; Chengyan Wang; Shuo Wang 011; Tao Zhou 002; Yizhe Zhang 001 (CoRR, 2024)

Rank Aggregation in Crowdsourcing for Listwise Annotations. - Wenshui Luo; Haoyu Liu; Yongliang Ding; Tao Zhou 002; Sheng Wan; Runze Wu 001; Minmin Lin; Cong Zhang; Changjie Fan; Chen Gong 002 (CoRR, 2024)

Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey. - Ao Fu; Yi Zhou 007; Tao Zhou 002; Yi Yang 001; Bojun Gao; Qun Li; Guobin Wu 001; Ling Shao 005 (CoRR, 2024)

Inferring brain causal and temporal-lag networks for recognizing abnormal patterns of dementia. - Zhengwang Xia; Tao Zhou 002; Saqib Mamoon; Jianfeng Lu 003 (Medical Image Anal., 2024)

Cross-contrast mutual fusion network for joint MRI reconstruction and super-resolution. - Yue Ding; Tao Zhou 002; Lei Xiang; Ye Wu 001 (Pattern Recognit., 2024)

Fusion-Embedding Siamese Network for Light Field Salient Object Detection. - Geng Chen 001; Huazhu Fu; Tao Zhou 002; Guobao Xiao; Keren Fu; Yong Xia 001; Yanning Zhang 001 (IEEE Trans. Multim., 2024)

Class-Wise Contrastive Prototype Learning for Semi-Supervised Classification Under Intersectional Class Mismatch. - Mingyu Li; Tao Zhou 002; Bo Han 003; Tongliang Liu; Xinkai Liang; Jiajia Zhao; Chen Gong 002 (IEEE Trans. Multim., 2024)

TestFit: A plug-and-play one-pass test time method for medical image segmentation. - Yizhe Zhang 001; Tao Zhou 002; Yuhui Tao; Shuo Wang 011; Ye Wu 001; Benyuan Liu; Pengfei Gu; Qiang Chen 004; Danny Z. Chen (Medical Image Anal., 2024)

Dynamic Weighted Adversarial Learning for Semi-Supervised Classification under Intersectional Class Mismatch. - Mingyu Li; Tao Zhou 002; Zhuo Huang; Jian Yang 003; Jie Yang 002; Chen Gong 002 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors. - Ziming Cheng; Shidong Wang; Tong Xin; Tao Zhou 002; Haofeng Zhang 001; Ling Shao 001 (IEEE Trans. Medical Imaging, 2024)

Uncertainty-Aware Hierarchical Aggregation Network for Medical Image Segmentation. - Tao Zhou 002; Yi Zhou 007; Guangyu Li; Geng Chen 001; Jianbing Shen (IEEE Trans. Circuits Syst. Video Technol., 2024)

COSTA: A Multi-Center TOF-MRA Dataset and a Style Self-Consistency Network for Cerebrovascular Segmentation. - Lei Mou; Jinghui Lin; Yifan Zhao 001; Yonghuai Liu; Shaodong Ma; Jiong Zhang; Wenhao Lv; Tao Zhou 002; Jiang Liu 001; Alejandro F. Frangi; Yitian Zhao (IEEE Trans. Medical Imaging, 2024)

Discrepancy-Induced Cross-Subnet Interaction Network for Semi-Supervised Medical Image Segmentation. - Chenqi Wang; Kaiwen Huang; Chijin Yu; Yizhe Zhang 001; Tao Zhou 002 (ISBI, 2025)

WeakPolyp-SAM: Segment Anything Model-driven weakly-supervised polyp segmentation. - Yiming Zhao; Tao Zhou 002; Yunqi Gu; Yi Zhou 007; Yizhe Zhang 001; Ye Wu 001; Huazhu Fu (Knowl. Based Syst., 2025)

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. - Xiangde Luo; Jia Fu; Yunxin Zhong; Shuolin Liu; Bing Han; Mehdi Astaraki; Simone Bendazzoli; Iuliana Toma-Dasu; Yiwen Ye; Ziyang Chen 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 2025)

Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. - Yunqi Gu; Tao Zhou 002; Yizhe Zhang 001; Yi Zhou 007; Kelei He; Chen Gong 002; Huazhu Fu (Pattern Recognit., 2025)

A survey on deep learning for polyp segmentation: techniques, challenges and future trends. - Jiaxin Mei; Tao Zhou 002; Kaiwen Huang; Yizhe Zhang 001; Yi Zhou 007; Ye Wu 001; Huazhu Fu (Vis. Intell., 2025)

MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretraining. - Ruiqi Wu; Na Su; Chenran Zhang; Tengfei Ma; Tao Zhou 002; Zhiting Cui; Nianfeng Tang; Tianyu Mao; Yi Zhou 007; Wen Fan 003; Tianxing Wu 001; Shenqi Jing; et al. (CoRR, 2025)

Edge-aware Feature Aggregation Network for Polyp Segmentation. - Tao Zhou 002; Yizhe Zhang 001; Geng Chen 001; Yi Zhou 007; Ye Wu 001; Deng-Ping Fan (Mach. Intell. Res., 2025)

Learnable Prompting SAM-Induced Knowledge Distillation for Semi-Supervised Medical Image Segmentation. - Kaiwen Huang; Tao Zhou 002; Huazhu Fu; Yizhe Zhang 001; Yi Zhou 007; Chen Gong 002; Dong Liang 001 (IEEE Trans. Medical Imaging, 2025)

Dual Interspersion and Flexible Deployment for Few-Shot Medical Image Segmentation. - Ziming Cheng; Shidong Wang; Yang Long 001; Tao Zhou 002; Hao-feng Zhang 001; Ling Shao 001 (IEEE Trans. Medical Imaging, 2025)

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation. - Kaiwen Huang; Yi Zhou 007; Huazhu Fu; Yizhe Zhang 001; Chen Gong 002; Tao Zhou 002 (CoRR, 2025)

Frequency-Aware Interaction Network for Ultrasound Image Segmentation. - Dongfang Wang; Tao Zhou 002; Yizhe Zhang 001; Shangbing Gao; Jian Yang 003 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation. - Kaiwen Huang; Tao Zhou 002; Huazhu Fu; Yizhe Zhang 001; Yi Zhou 007; Xiao-Jun Wu (CoRR, 2025)