部分代表性论文：
Z. Lu, Y. Zhang, Y. Zhou, Y. Wu, T. Zhou (通讯作者). Domain-interactive Contrastive Learning and Prototype-guided Self-training for Cross-domain Polyp Segmentation. IEEE Transactions on Medical Imaging (IEEE TMI) , 2024.
Y. Gu, T. Zhou (通讯作者), 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.
Y. Zhao, Y. Zhou, Y. Zhang, Y. Wu, T. Zhou (通讯作者). TextPolyp: Point-supervised Polyp Segmentation with Text Cues. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2024.
Y. Ding, T. Zhou (通讯作者), L. Xiang, Y. Wu. Cross-contrast mutual fusion network for joint MRI reconstruction and super-resolution. Pattern Recognition (PR) , 2024
Y. Li, T. Zhou (通讯作者), K. He, Y. Zhou, D. Shen. Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis. IEEE Transactions on Medical Imaging (IEEE TMI), 2023.
H. Yang, T. Zhou (通讯作者), Y. Zhou, Y. Zhang, H. Fu. Flexible Fusion Network for Multi-modal Brain Tumor Segmentation. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2023.
T. Zhou, Y. Zhou, K. He, C. Gong, J. Yang, H. Fu, D. Shen. Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognition (PR), 2023.
T. Zhou, H. Fu, C. Gong, L. Shao, F. Porikli, H. Ling, and J. Shen. Consistency and Diversity induced Human Motion Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023.
T. Zhou, Y. Zhou, C.Gong, J. Yang, Y. Zhang. Feature Aggregation and Propagation Network for Camouflaged Object Detection. IEEE Transactions on Image Processing (IEEE TIP), 2022.
G. Chen, S. Liu, Y. Sun, G. Ji, Y. Wu, T. Zhou (通讯作者). Camou?aged Object Detection via Context-aware Cross-level Fusion. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT)，2022
T. Zhou, H. Fu, G. Chen, Y. Zhou, D.-P. Fan, L. Shao. Specificity-preserving RGB-D Saliency Detection. International Conference on Computer Vision (ICCV), 2021.
Y. Zhou, L. Huang, T. Zhou, H. Fu, L. Shao. Visual-Textual Attentive Semantic Consistency for Medical Report Generation. International Conference on Computer Vision (ICCV), 2021.
Y. Zhou, L. Huang, T. Zhou, L. Shao. CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. International Conference on Computer Vision (ICCV), 2021.
Y. Sun, G. Chen, T. Zhou (通讯作者), Y. Zhang, N. Liu. Context-aware Cross-level Fusion Network for Camouflaged Object Detection. International Joint Conference on Artificial Intelligence (IJCAI), 2021.
Y. Zhang, T. Zhou, W. Wu, H. Xie, H. Zhu, G. Zhou, A. Cichocki. Improving EEG Decoding via Clustering-based Multi-task Feature Learning. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2021.
T. Zhou, H. Fu, C. Gong, J. Shen, L. Shao, F. Porikli. Multi-mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
T. Zhou, H. Fu, G. Chen, J. Shen, L. Shao. Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis. IEEE Transactions on Medical Imaging (IEEE TMI), 2020.
T. Zhou, K.-H. Thung, M. Liu, F. Shi, C. Zhang, D. Shen. Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Analysis (MIA), 2020.
T. Zhou, D.-P. Fan, M.-M. Cheng, J. Shen, L. Shao. RGB-D Salient Object Detection: A Survey. Computational Visual Media (CVMJ), 2020. [ESI高引论文]
D.-P. Fan, T. Zhou, G.-P. Ji, Y. Zhou, G. Chen, H. Fu, J. Shen, L. Shao. Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. IEEE Transactions on Medical Imaging (IEEE TMI), 2020. [ESI高引论文]
T. Zhou, K.-H. Thung, X. Zhu, D. Shen. Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis. Human Brain Mapping (HBM), 2019.
T. Zhou, C. Zhang, X. Peng, H. Bhaskar, and J. Yang. Dual Shared-Specific Multiview Subspace Clustering. IEEE Transactions on Cybernetics (IEEE TCYB), 2019.
T. Zhou, M. Liu, K.-H. Thung, D. 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.
T. Zhou, C. Zhang, C. Gong, H. Bhaskar, J. Yang. Multiview latent space learning with feature redundancy minimization. IEEE Transactions on Cybernetics (IEEE TCYB), 2018.
T. Zhou, K.-H. Thung, M. Liu, D. 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.
T. Zhou, F. Liu, H. Bhaskar, J. Yang. Robust visual tracking via online discriminative and low-rank dictionary learning. IEEE Transactions on Cybernetics (IEEE TCYB), 2017.
T. Zhou, H. Bhaskar, F. Liu, J. Yang. Graph Regularized and Locality-Constrained Coding for Robust Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2017.