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基本信息 The basic information
姓名: 张拓

学院: 自动化学院


学历: 博士研究生毕业

学位: 工学博士


职称: 副研究员(自然科学)

职务:


学科:





工作经历 Work Experience
2020.07 - 至今 西北工业大学自动化学院 博士生导师
2019.07 - 至今 西北工业大学自动化学院硕士生导师
2015.03 - 至今 西北工业大学自动化学院 大脑破译中心副研究员



教育经历 Education Experience
本科： 2003年- 2007年，信息工程，西北工业大学自动化学院（教改班）
博士： 2007年-2015年，控制科学与工程，西北工业大学自动化学院
访问学生： 2010年- 2014年，美国佐治亚大学计算机学院及生物图像研究中心




团队信息 Team Information
信息融合技术教育部重点实验室成员；自动化学院郭雷、韩军伟教授团队成员；与美国佐治亚大学刘天明教授和北卡教堂山沈定刚教授等团队保持紧密的国际合作与联系。
目前协助指导博士生4人，硕士生1人，已推荐博士生1人赴美国北卡罗莱纳州州立大学交流，推荐硕士生1人赴美国佐治亚大学攻读博士学位。
现有硕士生2人





招生信息 Admission Information
每年招收： 博士研究生：2-3名 硕士研究生: 2-3 名
欢迎对医学图像处理、脑科学、类脑计算等研究方向感兴趣的自动化，计算机科学与技术，生物医学工程等专业的同学保送/报考。
课题组提供宽松的科研环境，并提供与国内外高校交流的机会。欢迎来信咨询：tuozhang@nwpu.edu.cn
对学生要求：态度端正，英语、数学基础较好，熟悉常用的编程语言，了解图像处理、模式识别基本知识。





荣誉获奖 Awards Information
2010年9月： 中国教育部学术新人奖
2010年 - 2013年： 西北工业大学创新基金
2012年 - 2014年： 西北工业大学优秀博士基金

2018年： 陕西省科学技术一等奖（第6完成人）



科学研究 Scientific Research
研究方向：
·脑成像数据分析 ·大脑结构和功能网络的构建和分析 ·多模态多尺度大脑成像数据融合和分析
·多物种大脑结构形态分析 ·物种进化和大脑结构形态的关系 ·大脑发育机理，大脑皮层褶皱形成机理


主持的科研项目：
[1] 2020-2023 国家自然科学基金面上项目 大脑皮层“四元”褶皱模态的形成和功能分工理论(No. **)
[2] 2019-2021 陕西省自然科学基金青年项目 大脑皮层褶皱机理的跨物种比较研究(No.2019JQ-614)
[3] 2017-2020 国家自然科学基金面上项目 大脑褶皱力学形成机制探索(No. **)
[4] 2017 中国博士后科学基金第十批特别资助（No.2017T100769）
[5] 2016-2018 国家自然科学基金青年项目 大脑皮层褶皱形成“共推理论”研究(No. **)





学术成果 Academic Achievements
第一作者期刊论文：(#共同第一作者)

[1] T. Zhang, X. Li, X. Jiang, F. Ge, S. Zhang, L. Zhao, H. Liu, Y. Huang, X. Wang, J. Yang, Cortical 3-hinges could serve as hubs in cortico-cortical connective network, Brain Imaging and Behavior, (2020) 1-18.
[2] T. Zhang, Y. Huang, L. Zhao, Z. He, X. Jiang, L. Guo, X. Hu, T. Liu, Identifying Cross-individual Correspondences of 3-hinge Gyri, Medical Image Analysis, (2020) 101700.
[3] T. Zhang, J. Kong, K. Jing, H. Chen, X. Jiang, L. Li, L. Guo, J. Lu, X. Hu, T. Liu, Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data, Computerized Medical Imaging and Graphics, 69 (2018) 9-20.
[4] T. Zhang, H. Chen, M.J. Razavi, Y. Li, F. Ge, L. Guo, X. Wang, T. Liu, Exploring 3‐hinge gyral folding patterns among HCP Q3 868 human subjects, Human brain mapping, 39 (2018) 4134-4149.
[5] T. Zhang, M.J. Razavi, H. Chen, Y. Li, X. Li, L. Li, L. Guo, X. Hu, T. Liu, X. Wang, Mechanisms of circumferential gyral convolution in primate brains, Journal of computational neuroscience, 42 (2017) 217-229.
[6] M.J. Razavi(#), T. Zhang(#), H. Chen, Y. Li, S. Platt, Y. Zhao, L. Guo, X. Hu, X. Wang, T. Liu, Radial structure scaffolds convolution patterns of developing cerebral cortex, Frontiers in computational neuroscience, 11 (2017) 76.
[7] X. Li(#), H. Chen(#), T. Zhang(#), X. Yu, X. Jiang, K. Li, L. Li, M.J. Razavi, X. Wang, X. Hu, Commonly preserved and species-specific gyral folding patterns across primate brains, Brain structure and function, 222 (2017) 2127-2141.
[8] T. Zhang, D. Zhu, X. Jiang, S. Zhang, Z. Kou, L. Guo, T. Liu, Group-wise consistent cortical parcellation based on connectional profiles, Medical image analysis, 32 (2016) 32-45.
[9] T. Zhang, M.J. Razavi, X. Li, H. Chen, T. Liu, X. Wang, Mechanism of consistent gyrus formation: an experimental and computational study, Scientific reports, 6 (2016) 1-11.
[10] M.J. Razavi(#), T. Zhang(#), X. Li, T. Liu, X. Wang, Role of mechanical factors in cortical folding development, Physical Review E, 92 (2015) 032701.
[11] T. Zhang, H. Chen, L. Guo, K. Li, L. Li, S. Zhang, D. Shen, X. Hu, T. Liu, Characterization of U-shape streamline fibers: Methods and applications, Medical image analysis, 18 (2014) 795-807.
[12] X. Jiang(#), T. Zhang(#), D. Zhu, K. Li, H. Chen, J. Lv, X. Hu, J. Han, D. Shen, L. Guo, Anatomy-guided dense individualized and common connectivity-based cortical landmarks (A-DICCCOL), IEEE Transactions on Biomedical Engineering, 62 (2014) 1108-1119.
[13] T. Zhang, D. Zhu, X. Jiang, B. Ge, X. Hu, J. Han, L. Guo, T. Liu, Predicting cortical ROIs via joint modeling of anatomical and connectional profiles, Medical image analysis, 17 (2013) 601-615.
[14] H. Chen(#), T. Zhang(#), L. Guo, K. Li, X. Yu, L. Li, X. Hu, J. Han, X. Hu, T. Liu, Coevolution of gyral folding and structural connection patterns in primate brains, Cerebral Cortex, 23 (2013) 1208-1217.
[15] T. Zhang, L. Guo, K. Li, C. Jing, Y. Yin, D. Zhu, G. Cui, L. Li, T. Liu, Predicting functional cortical ROIs via DTI-derived fiber shape models, Cerebral cortex, 22 (2012) 854-864.


第一作者会议论文：(#共同第一作者)
[1] T. Zhang, X. Li, L. Zhao, Y. Huang, Z. He, L. Guo, T. Liu, Group-Wise Graph Matching of Cortical Gyral Hinges, International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2019, pp. 75-83.
[2] T. Zhang, X. Li, L. Zhao, Y. Huang, L. Guo, T. Liu, Identification of Species-Preserved Cortical Landmarks, International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2018, pp. 89-97.
[3] T. Zhang, X. Li, L. Zhao, X. Hu, T. Liu, L. Guo, Multi-way Regression Reveals Backbone of Macaque Structural Brain Connectivity in Longitudinal Datasets, International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2017, pp. 424-432.
[4] X. Li(#), T. Zhang(#), Q. Dong, S. Zhang, X. Hu, L. Du, L. Guo, T. Liu, Predicting cortical 3-hinge locations via structural connective features, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), IEEE, 2017, pp. 533-537.
[5] X. Li(#), T. Zhang(#), T. Liu, J. Lv, X. Hu, L. Guo, T. Liu, A data-driven method to study brain structural connectivities via joint analysis of microarray data and dMRI data, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), IEEE, 2016, pp. 829-832.
[6] X. Li(#), L. Du(#), T. Zhang(#), X. Hu, X. Jiang, L. Guo, T. Liu, Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA, International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2016, pp. 123-131.
[7] T. Zhang, J. Kong, K. Jing, H. Chen, X. Jiang, L. Li, L. Guo, J. Lu, X. Hu, T. Liu, Multi-scale and multimodal fusion of tract-tracing, myelin stain and DTI-derived fibers in macaque brains, International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2015, pp. 246-254.
[8] T. Zhang, D. Zhu, X. Jiang, L. Guo, T. Liu, Group-wise consistent cortical parcellation based on DTI-derived connectional profiles, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), IEEE, 2014, pp. 826-829.
[9] T. Zhang, D. Zhu, X. Jiang, L. Guo, T. Liu, Predicting functional cortical ROIs via joint modeling of anatomical and connectional profiles, 2013 IEEE 10th International Symposium on Biomedical Imaging, IEEE, 2013, pp. 516-519.
[10] X. Jiang(#), T. Zhang(#), D. Zhu, K. Li, J. Lv, L. Guo, T. Liu, Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks, International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2013, pp. 617-625.
[11] T. Zhang, L. Guo, K. Li, D. Zhu, G. Cui, T. Liu, Predicting functional brain ROIs via fiber shape models, International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2011, pp. 42-49.
[12] T. Zhang, L. Guo, G. Li, J. Nie, T. Liu, Parametric representation of cortical surface folding based on polynomials, International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2009, pp. 184-191.




其他期刊论文：

1. Dajiang Zhu, Tuo Zhang,Xi Jiang, Xintao Hu, Ning Yang, Jinglei Lv, Junwei Han, Lei Guo, Tianming Liu.Fusing DTI and FMRI Data: A Survey of Methods and Applications. NeuroImage,2013.in press.
2. Bao Ge, LeiGuo, Tuo Zhang,Dajiang Zhu, Xintao Hu, Junwei Han, Tianming Liu. Construction of Multi-scaleCommon Brain Network Via DICCCOL. IPMI,LNCS,2013.vol.7917,pp.692-704.
3. Bao Ge, LeiGuo, Tuo Zhang,Xintao Hu, Junwei Han, Tianming Liu. Resting State fMRI-guided FiberClustering: Methods and Applications. Neuroinformatics,2013.vol.11(1),pp.119-133.
4. Fan Deng, XiJiang, Dajiang Zhu, Tuo Zhang, Kaiming Li, Lei Guo, Tianming Liu. Afunctional model of cortical gyri and sulci. Brain Structure and Function,2013.in press.
5. Xin Zhang, LeiGuo, Xiang Li, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, ChangfengJin, Qun Zhao, Lingjiang Li, Tianming Liu. Characterization of Task-free andTask-performance Brain States via Functional Connectome Patterns. Medical Image Analysis.2013.vol.17(8),pp.1106–1122.
6. Dajiang Zhu*,Kaiming Li*, Lei Guo, Xi Jiang, Tuo Zhang, Degang Zhang, Hanbo Chen, Fan Deng,Carlos Faraco, Changfeng Jin, Chong-Yaw Wee, Yixuan Yuan, Peili Lv, Yan Yin,Xiaolei Hu, Lian Duan, Xintao Hu, Junwei Han, Lihong Wang, Dinggang Shen, LStephen Miller, Lingjiang Li, Tianming Liu. DICCCOL: Dense Individualized andCommon Connectivity-based Cortical Landmarks. *Joint first authors. Cerebral Cortex,2013.vol. 23(4),pp. 786-800.
7. Jinglei Lv, XiJiang, Xiang Li, Dajiang Zhu, Hanbo Chen, TuoZhang, Shu Zhang, Xintao Hu, Junwei Han,Heng Huang, Jing Zhang, Lei Guo, Tianming Liu. Identifying Functional Networksvia Sparse Representation of Whole-brain FMRI Signals. IEEE EMBS Conference onNeural Engineering,2013.pp. 778-781.
8. Hanbo Chen,Kaiming Li, Dajiang Zhu, Xi Jiang, Yixuan Yuan, Peili Lv, Tuo Zhang, Lei Guo, Dinggang Shen*,Tianming Liu*. Inferring Group-wise Consistent Multimodal Brain Networks viaMulti-view Spectral Clustering. *Joint corresponding authors. IEEE Transactions on Medical Imaging,2013.vol. 32(9),pp. 1576 - 1586.
9. Xin Zhang,Xiang Li, Changfeng Jin, Hanbo Chen, Kaiming Li, Dajiang Zhu, Xi Jiang, Tuo Zhang,Jinglei Lv, Xintao Hu, Junwei Han, Qun Zhao, Lei Guo, Lingjiang Li, TianmingLiu. Identifying and Characterizing Resting State Networks in TemporallyDynamic Functional Connectomes. BrainTopography.2014.in press.
10. Jingxin Nie, Lei Guo, Kaiming Li, Yonghua Wang,Guojun Chen, Longchuan Li, Hanbo Chen, Fan Deng, Xi Jiang, Tuo Zhang, Ling Huang, CarlosFaraco, Degang Zhang, Cong Guo, Pew-Thian Yap, Xintao Hu, Gang Li, Jinglei Lv,Yixuan Yuan, Dajiang Zhu, Junwei Han, Dean Sabatinelli, Qun Zhao, L StephenMiller, Bingqian Xu, Ping Shen, Simon Platt, Dinggang Shen, Xiaoping Hu,Tianming Liu. Axonal Fiber Terminations Concentrate on Gyri. Cerebral Cortex,2012.vol. 22(12),pp. 2831-2839.
11. Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu,Hanbo Chen, Yixuan Yuan, Jinglei Lv, Fan Deng, Xi Jiang, Tuo Zhang, Xintao Hu, DegangZhang, Lloyd Miller, Tianming Liu. Visual Analytics of Brain Networks. NeuroImage,2012.vol. 61(1),pp. 82–97.
12. Yixuan Yuan, Xi Jiang, Dajiang Zhu, Hanbo Chen,Kaiming Li, Peili Lv, Xiang Yu, Xiaojin Li, Shu Zhang, Tuo Zhang, Xintao Hu, JunweiHan, Lei Guo, Tianming Liu. Meta-analysis of Functional Roles of DICCCOLs. Neuroinformatics,2013.vol.11(1),pp. 47-63.


其他会议论文：
1. Hanbo Chen, Tuo Zhang,Tianming Liu. Identifying Group-wise Consistent White Matter Landmarks viaNovel Fiber Shape Descriptor. MICCAI,LNCS,2013.vol.8149,pp.66-73.
2. Jinglei Lv, Tuo Zhang, Xintao Hu, DajiangZhu, Kaiming Li, Lei Guo, Tianming Liu. Group-wise connection activationdetection based on DICCCOL. ISBI.2014.inpress.
3. Kaiming Li, Tuo Zhang,Xintao Hu, Dajiang Zhu, Hanbo Chen, Xi Jiang, Fan Deng, Jinglei Lv, Carlos,Faraco, Degang Zhang, Arsham Mesbah, Junwei Han, Lie Lu, Xian-Sheng Hua, LeiGuo, Stephen Miller, Tianming Liu. Human-friendly Attention Models for VideoSummarization. ICMI,2010.
4. Xi Jiang, Tuo Zhang,Xintao Hu, Lie Lu, Junwei Han, Lei Guo, Tianming Liu. Music/SpeechClassification Using High-level Features Derived from FMRI Brain Imaging. ACM Multimedia,2012.pp. 825-828.
5. Xintao Hu, Tuo Zhang,Junwei Han, Lei Guo, Tianming Liu. Functional Brain Interactions During FreeViewing of Video Stream. ISBI,2013.pp.1082-1085.
6. Bao Ge, LeiGuo, Tuo Zhang,Dajiang Zhu, Xintao Hu, Junwei Han, Tianming Liu. Construction of Multi-scaleBrain Networks via DICCCOL Landmarks. ISBI,2013.pp.680-683.
7. Bao Ge, LeiGuo, Tuo Zhang,Xintao Hu, Junwei Han, Tianming Liu. Resting State fMRI-guided FiberClustering. MICCAI, LNCS,2011.vol.6892,pp. 149-156.
8. Xiang Yu*,Hanbo Chen*, Tuo Zhang, Xintao Hu, Lei Guo, Tianming Liu. Joint Analysis of GyralFolding and Fiber Shape Patterns. *Joint first authors. ISBI,2013.pp. 85 - 88.
9. Xintao Hu, LeiGuo, Tuo Zhang,Gang Li, Jingxin Nie, Xi Jiang, Degang Zhang, Tianming Liu. Joint analysis offiber shape and cortical folding patterns. ISBI,2010.pp.1165-1168.
10. Hanbo Chen, Kaiming Li, Dajiang Zhu, Tuo Zhang,Changfeng Jin, Lei Guo, Lingjiang Li, Tianming Liu. Inferring Group-wiseConsistent Multimodal Brain Networks via Multi-view Spectral Clustering. MICCAI, LNCS,2012.vol. 7512,pp. 297-304.
11. Hanbo Chen, Lei Guo, Jingxin Nie, Tuo Zhang,Xintao Hu, Tianming Liu.A dynamic skull model for simulation of cerebral cortexfolding. MICCAI, LNCS,2010.vol.6362,pp.412-419.
12. Jinglei Lv, Lei Guo, Xintao Hu, Tuo Zhang,Kaiming Li, Tianming Liu.Fiber-centered Analysis of Brain Connectivity UsingDTI and Resting State FMRI Data. MICCAI,LNCS,2010.vol.6362,pp.412-419.
13. Shu Zhang, Xintao Hu, Jinglei Lv, Tuo Zhang,Xiang LI, Xi Jiang, Lei Guo, Tianming Liu. Learning fMRI-guided predictor ofvideo shot changes. ISBI.2014.inpress.
14. Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang,Xintao Hu, Lei Guo, Tianming Liu. Inferring group-wise functional brainactivities via point processes. ISBI.2014.in press.
15. Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang,Xiang Li, Xintao Hu, Lei Guo. Discovery network-level functional interactionsfrom working memory fMRI data. ISBI,2014.in press.
16. Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang,Dinggang Shen, Lei Guo, Tianming Liu. Predictive Models of Resting StateNetworks for Assessment of Altered Functional Connectivity in MCI. MICCAI, LNCS,2013.vol. 8150,pp. 674-681.
17. Xintao Hu, Fan Deng, Kaiming Li, Tuo Zhang,Hanbo Chen, Xi Jiang, Jinglei Lv, Dajiang Zhu, Li Xie, Carlos, Faraco, DegangZhang, Arsham Mesbah, Junwei Han, Xian-Sheng Hua, Stephen Miller, Lei Guo,Tianming Liu. Bridging Low-level Features and High-level Semantics via fMRIBrain Imaging for Video Classification. ACMMultimedia,2010.pp.451-460.
18. Yixuan Yuan, Lei Guo, Gang Li, Tuo Zhang, Xintao Hu, TianmingLiu. Joint analysis of cortical folding pattern, thickness and fiber densityusing structural and DTI data. ISBI,2010.pp.404-407.
19. Xintao Hu, Lei Guo, Degang Zhang, Kaiming Li, Tuo Zhang,Jinglei Lv, Junwei Han, Tianming Liu. Assessing the Dynamics on FunctionalBrain Networks using Spectral Graphy Theory. ISBI,2011.pp. 2144-2149.
20. Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu,Fan Deng, Tuo Zhang, Xi Jiang, Degang Zhang, Hanbo Chen, Xintao Hu, L. StephenMiller, Tianming Liu. Individualized ROI Optimization via Maximization ofGroup-wise Consistency of Structural and Functional Profiles. NIPS,2010.
21. Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, DajiangZhu, Hanbo Chen, Tuo Zhang, Lei Guo, Tianming Liu. Sparse Representation of Higher-orderFunctional Interaction Patterns in Task-based FMRI Data. MICCAI, LNCS,2013.vol. 8151,pp. 626-634.




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