Selected Publications:

2024:

1. Z. Lu, Y. Zhang, Y. Zhou, Y. Wu, T. Zhou*. Domain-interactive Contrastive Learning and Prototype-guided Self-training for Cross-domain Polyp Segmentation. IEEE Transactions on Medical Imaging (IEEE TMI) , 2024. [Link] [arXiv] [Code]
2. Y. Gu, T. Zhou*, Y. Zhang, Y. Zhou, K. He, C. Gong, H. Fu. Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation. Pattern Recognition (PR), 2024. [Link] [arXiv] [Code]
3. Y. Zhao, Y. Zhou, Y. Zhang, Y. Wu, T. Zhou*. TextPolyp: Point-supervised Polyp Segmentation with Text Cues. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2024. [Link] [arXiv] [Code]
4. R. Wu, C. Zhang, J. Zhang, Y. Zhou, T. Zhou, H. Fu. MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2024. [Link] [arXiv] [Code]
5. Y. Xie, T. Zhou, Y. Zhou, G. Chen. SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2024. [Link] [arXiv] [Code]
6. Z. Xia, H. Wang, T. Zhou, Z. Jiao, J. Lu Customized Relationship Graph Neural Network for Brain Disorder Identification. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2024. [Link] [arXiv] [Code]
7. L. Mou, Q. Yan, J. Lin, Y. Zhao, Y. Liu, S. Ma, J. Zhang, W. Lv, T. Zhou, A. F Frangi, Y. Zhao. COSTA: A Multi-center TOF-MRA Dataset and A Style Self-Consistency Network for Cerebrovascular Segmentation. IEEE Transactions on Medical Imaging (IEEE TMI) , 2024. [Link] [arXiv] [Code]
8. T. Zhou, Y. Zhou, G. Li, G. Chen, J. Shen. Uncertainty-aware Hierarchical Aggregation Network for Medical Image Segmentation. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT) , 2024. [Link] [arXiv] [Code]
9. Y. Ding, T. Zhou*, L. Xiang, Y. Wu. Cross-contrast mutual fusion network for joint MRI reconstruction and super-resolution. Pattern Recognition (PR) , 2024. [Link] [arXiv] [Code]
10. Z. Xia, T. Zhou, S. Mamoon, J. Lu. Inferring brain causal and temporal-lag networks for recognizing abnormal patterns of dementia. Medical Image Analysis, 2024. [Link] [arXiv] [Code]
11. M. Li, T. Zhou*, B. Han, T. Liu, X. Liang, J. Zhao, C. Gong*. Class-wise Contrastive Prototype Learning for Semi-Supervised Classification under Intersectional Class Mismatch. IEEE Transactions on Multimedia (IEEE TMM) , 2024. [Link] [arXiv] [Code]
12. Y. Zhang, T. Zhou, Y. Tao, S. Wang, Ye Wu, B. Liu, P. Gu, Q. Chen, D. Z. Chen. TestFit: A plug-and-play one-pass test time method for medical image segmentation. Medical Image Analysis, 2024. [Link] [arXiv] [Code]
13. Z. Cheng, S. Wang, T. Xin, T. Zhou, H. Zhang, L. Shao. Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors. IEEE Transactions on Medical Imaging (IEEE TMI), 2024. [Link] [arXiv] [Code]
14. Y. Lai, X. Liu, T. Zhou, Y. Zhou. Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation. International Conference on Learning Representations (ICLR) , 2024. [Link] [arXiv] [Code]
15. T. Zhou, Y. Zhang, G. Chen, Y. Zhou, Y. Wu, D.-P. Fan. Edge-aware Feature Aggregation Network for Polyp Segmentation. Machine Intelligence Research, 2024. [Link] [中文版] [Code]

2023:

1. Yonghao Li, Tao Zhou*, Kelei He, Yi Zhou, Dinggang Shen. Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis. IEEE Transactions on Medical Imaging (IEEE TMI), 2023. [Link] [arXiv] [Code]
2. Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen. Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognition (PR), 2023. [Link] [arXiv] [Code]
3. Hengyi Yang, Tao Zhou*, Yi Zhou, Yizhe Zhang, Huazhu Fu. Flexible Fusion Network for Multi-modal Brain Tumor Segmentation. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2023. [Link] [arXiv] [Code]
4. Mingyu Li, Tao Zhou*, Zhuo Huang, Jian Yang, Jie Yang, Chen Gong*. Dynamic Weighted Adversarial Learning for Semi-Supervised Classification under Intersectional Class Mismatch. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2023. [Link] [arXiv] [Code]
5. Zhengwang Xia, Tao Zhou, Saqib Mamoon, Amani Alfakih, Jianfeng Lu. A Structure-guided Effective and Temporal-lag Connectivity Network for Revealing Brain Disorder Mechanisms. IEEE Journal of Biomedical And Health Informatics (IEEE JBHI), 2023. [Link]
6. Geng Chen, Jie Qin, Boulbaba Ben Amor, Weiming Zhou, Hang Dai, Tao Zhou, Heyuan Huang, Ling Shao. Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. IEEE Transactions on Medical Imaging (IEEE TMI), 2023. [Link]

2022:

1. Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, and Jianbing Shen. Consistency and Diversity induced Human Motion Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022. [Link] [arXiv]
2. Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang. Feature Aggregation and Propagation Network for Camouflaged Object Detection. IEEE Transactions on Image Processing (IEEE TIP), 2022. [Link] [arXiv] [Code]
3. Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu. Specificity-preserving RGB-D Saliency Detection. Computational Visual Media (CVMJ), 2022 (ICCV Extension). [Link] [arXiv] [中文版] [Code]
4. Jingyi Liu, Huiqi Li, Lin Li, Tao Zhou*, Chenglizhao Chen. CFA-Net: Cross-Level Feature Fusion and Aggregation Network for Salient Object Detection. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2022. [Link]
5. Geng Chen, Huazhu Fu, Tao Zhou, Guobao Xiao, Keren Fu, Yong Xia, Yanning Zhang. Fusion-Embedding Siamese Network for Light Field Salient Object Detection. IEEE Transactions on Multimedia (IEEE TMM), 2022. [Link]
6. Yi Zhou, Shaochen Bai, Tao Zhou, Yu Zhang, Huazhu Fu. Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022. [Link]
7. Geng Chen, Sijie Liu, Yujia Sun, Gepeng Ji, Yafeng Wu, Tao Zhou*. Camouflaged Object Detection via Context-aware Cross-level Fusion. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2022 (IJCAI Extension). [Link] [arXiv] [Code]
8. Lei Zhou, Shuai Wang, Kun Sun, Tao Zhou, Fuhua Yan, Dinggang Shen. Three-dimensional Affinity Learning based Multi-branch Ensemble Network for Breast Tumor Segmentation in MRI. Pattern Recognition (PR), 2022. [Link]
9. Yunyun Yang, Tingyu Yan, Xin Jiang, Ruicheng Xie, Chun Li, Tao Zhou. MH-Net: Model-data-driven hybrid-fusion network for medical image segmentation. Knowledge-Based Systems (KBS), 2022. [Link]
10. Xun Feng, Jian Yang, Tao Zhou, Chen Gong. Attention Mechanism and Categorical Hierarchy Based Weakly Supervised Object Localization. Journal of Software (JOS, 《软件学报》in Chinese) , 2022. [Link] [中文]
11. Xiangmin Han, Xiaoyan Fei, Jun Wang, Tao Zhou, Jun Shi, Dinggang Shen. Doubly supervised transfer classifier for computer-aided diagnosis with imbalanced modalities. IEEE Transactions on Medical Imaging (IEEE TMI), 2022. [Link] [arXiv]
12. Geng Chen, Hang Dai, Tao Zhou, Jianbing Shen, Ling Shao. Automatic Schelling Points Detection from Meshes. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022. [Link] [arXiv]
13. Yongliang Ding, Tao Zhou*, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong. Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation. SIAM International Conference on Data Mining (SDM), 2022. [Link]

2021:

1. Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao. Specificity-preserving RGB-D Saliency Detection. International Conference on Computer Vision (ICCV), 2021. [Link] [arXiv] [Code] [中文版]
2. Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao. Visual-Textual Attentive Semantic Consistency for Medical Report Generation. International Conference on Computer Vision (ICCV), 2021. [Link]
3. Yi Zhou, Lei Huang, Tao Zhou, Ling Shao. CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. International Conference on Computer Vision (ICCV), 2021. [Link]
4. Shengwei Zhong, Tao Zhou*, Sheng Wan, Jian Yang, Chen Gong*. Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification with Extremely Scarce Labels. IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2021. [Link]
5. Keren Fu, Yao Jiang, Ge-Peng Ji, Tao Zhou*, Qijun Zhao, Deng-Ping Fan. Light Field Salient Object Detection: A Review and Benchmark. Computational Visual Media (CVMJ), 2021. [arXiv] [中文版] [Code]
6. Yujia Sun, Geng Chen, Tao Zhou*, Yi Zhang, Nian Liu. Context-aware Cross-level Fusion Network for Camouflaged Object Detection. International Joint Conference on Artificial Intelligence (IJCAI) , 2021. [arXiv] [Code]
7. Zhengwang Xia, Tao Zhou, Saqib Mamoon, Jianfeng Lu. Recognition of Dementia Biomarkers with Deep Finer-DBN. IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE), 2021. [Link]
8. Feiyi Fang, Yazhou Yao, Tao Zhou, Guosen Xie, Jianfeng Lu. Self-supervised Multi-modal Hybrid Fusion Network for Brain Tumor Segmentation. IEEE IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2021. [Link]
9. Lin Li, Bo Dong, Eric Rigall, Tao Zhou, Junyu Dong, Geng Chen. Marine Animal Segmentation. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2021. [Link] [Code]
10. Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki. Improving EEG Decoding via Clustering-based Multi-task Feature Learning. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2021. [arXiv]
11. Yanbei Liu, Lianxi Fan, Changqing Zhang, Tao Zhou, Zhitao Xiao, Lei Geng, Dinggang Shen. Incomplete Multi-modal Representation Learning for Alzheimer’s Disease Diagnosis. Medical Image Analysis (MIA), 2021. [Link]
12. Yi Zhou, Tianfei Zhou, Tao Zhou, Huazhu Fu, Ling Shao. Contrast-Attentive Thoracic Disease Recognition with Dual-Weighting Graph Reasoning. IEEE Transactions on Medical Imaging (IEEE TMI), 2021. [Link]

2020:

1. Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao. RGB-D Salient Object Detection: A Survey. Computational Visual Media (CVMJ), 2020. [arXiv] [中文版] [Code] (Spotlight)[ESI高引论文]
2. Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli. Multi-mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2020. [Link]
3. Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao. Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis. IEEE Transactions on Medical Imaging (IEEE TMI), 2020. [Link] [arXiv] [Code]
4. Deng-Ping Fan, Tao Zhou, Ge-peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao. Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. IEEE Transactions on Medical Imaging (IEEE TMI), 2020. [arXiv] [中文版] [Code] [ESI高引论文]
5. Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen. Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Analysis (MIA), 2020. [Link]
6. Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao. M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020. [arXiv]
7. Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang. Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images. Pattern Recognition (PR), 2020. [arXiv]
8. Zhou Huang, Huai-Xin Chen, Tao Zhou, Yun-Zhi Yang, Chang-Yin Wang, Bi-Yuan Liu. Contrast-weighted Dictionary Learning Based Saliency Detection for VHR Optical Remote Sensing Images. Pattern Recognition (PR), 2020. [Link]
9. Yong Jiao, Tao Zhou, Lina Yao, Guoxu Zhou, Xingyu Wang, Yu Zhang. Multi-view Multi-scale Optimization of Feature Representation for EEG Classification Improvement. IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE), 2020. [Link]
10. Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Dinggang Shen, Ling Shao. PraNet: Parallel Reverse Attention Networkfor Polyp Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020. [arXiv] [Code]
11. Na Liu, Tao Zhou, Yunfeng Ji, Ziyi Zhao, Lihong Wan. Synthesizing Talking Faces from Text and Audio: An Autoencoder and Sequence-to-Sequence Convolutional Neural Network. Pattern Recognition (PR), 2020. [Link]

2019:

1. Tao Zhou, Changqing Zhang, Xi Peng, Harish Bhaskar, and Jie Yang. Dual Shared-Specific Multiview Subspace Clustering. IEEE Transactions on Cybernetics (IEEE TCYB), 2019. [Link] [Code]
2. Tao Zhou, Mingxia Liu, Kim-Han Thung, Dinggang Shen. Latent Representation Learning for Alzheimer’s Disease Diagnosis with Incomplete Multi-modality Neuroimaging and Genetic Data. IEEE Transactions on Medical Imaging (IEEE TMI), 2019. [Link]
3. Tao Zhou, Kim-Han Thung, Xiaofeng Zhu, Dinggang Shen. Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis. Human Brain Mapping (HBM), 2019. [Link] [ESI高引论文]
4. Tao Zhou, Kim-Han Thung, Yu Zhang, Huazhu Fu, Jianbing Shen, Dinggang Shen, Ling Shao. Inter-modality dependence induced data recovery for MCI conversion prediction. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019. [Link]
5. Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, Dinggang Shen, Ling Shao. Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019. [Link]
6. Jun Wang, Ying Zhang, Tao Zhou, Zhaohong Deng, Huifang Huang, Shitong Wang, Jun Shi, Dinggang Shen. Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019. [Link]

2018:

1. Tao Zhou, Changqing Zhang, Chen Gong, Harish Bhaskar, Jie Yang. Multiview latent space learning with feature redundancy minimization. IEEE Transactions on Cybernetics (IEEE TCYB), 2018. [Link]
2. Tao Zhou, Kim-Han Thung, Mingxia Liu, Dinggang Shen. Brain-wide Genome-wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model. IEEE Transactions on Biomedical Engineering (IEEE TBME), 2018. [Link]
3. Tao Zhou, Fanghui Liu, Harish Bhaskar, Jie Yang, Huanlong Zhang, Ping Cai. Online discriminative dictionary learning for robust object tracking. Neurocomputing, 2018. [Link]
4. Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao. Robust visual tracking revisited: From correlation filter to template matching. IEEE Transactions on Image Processing (IEEE TIP), 2018. [Link]
5. Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen. Multi-layer multi-view classification for Alzheimer’s disease diagnosis. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018. [Link]

2017:

1. Tao Zhou, Fanghui Liu, Harish Bhaskar, Jie Yang. Robust visual tracking via online discriminative and low-rank dictionary learning. IEEE Transactions on Cybernetics (IEEE TCYB), 2017. [Link]
2. Tao Zhou, Harish Bhaskar, Fanghui Liu, Jie Yang. Graph Regularized and Locality-Constrained Coding for Robust Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2017. [Link]
3. Tao Zhou, Harish Bhaskar, Fanghui Liu, Jie Yang, Ping Cai. Online learning and joint optimization of combined spatial-temporal models for robust visual tracking. Neurocomputing, 2017. [Link]
4. Fanghui Liu, Chen Gong, Tao Zhou, Keren Fu, Xiangjian He, Jie Yang. Visual tracking via nonnegative multiple coding. IEEE Transactions on Multimedia (IEEE TMM), 2017. [Link]
5. Fanghui Liu, Tao Zhou, Chen Gong, Keren Fu, Li Bai, Jie Yang. Inverse nonnegative local coordinate factorization for visual tracking. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2017. [Link]

Before:

1. Tao Zhou, Xiangjian He, Kai Xie, Keren Fu, Junhao Zhang, Jie Yang. Robust visual tracking via efficient manifold ranking with low-dimensional compressive features. Pattern Recognition, 2015. [Link]