目录
硕士报考志愿采集    更新日期:2024年3月25日
姓 名 周涛 性 别
出生年月 1986年10月 籍贯
民 族 汉族 政治面貌 中国共产党党员
最后学历 博士研究生 最后学位 工学博士
技术职称 教授 导师类别 博、硕导
导师类型 校内 兼职导师
行政职务 Email taozhou@njust.edu.cn
工作单位 计算机科学与工程学院 邮政编码
通讯地址
单位电话
个人主页 https://taozh2017.github.io/
指导学科
学科专业(主) 0812|计算机科学与技术 招生类别 博、硕士 所在学院 计算机科学与工程学院
研究方向

 

机器学习、医学图像处理与分析、AI健康、计算机视觉

 

工作经历

2021.01 -- 至今          南京理工大学,计算机科学与工程学院,教授
2018.12 -- 2021.01    起源人工智能研究院, 研究科学家

2016.07 -- 2018.11    北卡罗来纳大学教堂山分校,博士后

教育经历

2012 -- 2016    上海交通大学,博士

2009 -- 2012     江南大学, 硕士

2005 -- 2009     信息工程大学,学士

社会、学会及学术兼职

Associate Editors:

    -- IEEE TNNLS (2024--);

    -- IEEE Access (2018--);

    -- Guest Editor for Multimedia Tools and Applications, 2019;

 -- Guest Editor for IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2020;

Reviewers

    -- PC member for CVPR/ICCV/ICML/ICLR/NIPS/AAAI/IJCAI/MICCAI et al.

    -- Reviewers for IEEE TPAMI/TIP/TNNLS/TCYB/TKDE/TMI, PR/MIA/JBHI et al.

科研项目

主持海外高层次人才计划(青年项目)、自然基金面上项目、教育部重点实验室开放课题、南京市留学人员科技创新项目、南理工启动基金等。

发表论文

部分代表性论文:

Yonghao Li, Tao Zhou (通讯作者), 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.

Hengyi Yang, Tao Zhou (通讯作者), 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.

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.

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. [ESI高引论文]

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.

Geng Chen, Sijie Liu, Yujia Sun, Gepeng Ji, Yafeng Wu, Tao 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

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. 

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.

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.

Yujia Sun, Geng Chen, Tao Zhou (通讯作者), Yi Zhang, Nian Liu. Context-aware Cross-level Fusion Network for Camouflaged Object Detection. International Joint Conference on Artificial Intelligence (IJCAI), 2021.

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.

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.  

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.

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.

Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao. RGB-D Salient Object Detection: A Survey. Computational Visual Media (CVMJ), 2020. [ESI高引论文]

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. [ESI高引论文]

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. 

Tao Zhou, Changqing Zhang, Xi Peng, Harish Bhaskar, and Jie Yang. Dual Shared-Specific Multiview Subspace Clustering. IEEE Transactions on Cybernetics (IEEE TCYB), 2019.

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.

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.

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.

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.

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.

教学活动

本科生课程:Python程序设计,Python课程设计,人工智能漫谈

指导学生情况

每年可招收博士研究生1-2名,硕士研究生3-4名。

欢迎对机器学习、深度学习、医学图像分析等领域感兴趣的同学与我联系同时欢迎优秀本科生联系并参与科研训练!

   有意向的本科生,报考硕士、博士研究生的同学请提前发简历至邮箱联系(email: taozhou@njust.edu.cn)

   2024 年秋季硕士仍有少量招生名额,欢迎联系!

我的团队

目前团队,包括博士生1名,联合指导博士1名;硕士生10人;本科生科研训练5人。主要专注于人工智能与智慧医疗交叉研究,具体的研究方向包括:

(1)脑疾病早期预测与诊断;

(2)多视图/模态学习及应用;

(3)隐蔽目标/弱面目标/病变区域分割;

  (4)  迁移学习/半监督/弱监督在AI医疗中应用研究等;

  (5)  医学基础大模型构建、微调、提示学习等技术研究。