Tao Zhou
Research Scientist
IIAI, Abu Dhabi
taozhou.ai@gmail.com

[Google Scholar]
[ResearchGate]
[GitHub]
[DBLP]


Homepage

Publications

Activities

Selected Publications:

Pre-prints:

  1. Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang. Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images. arXiv, 2020. [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 , 2020. [Link] [Code]
  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. 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]
  5. 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]
  6. 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]
  7. 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] [Code]
  8. 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]
  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), 2019. [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), 2019. [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]
See more in [Google Scholar]