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基本信息 The basic information
姓名: 赵世杰

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: 控制科学与工程-模式识别与智能系统


邮箱: shijiezhao@nwpu.edu.cn








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教育经历 Education Experience
2020.7-至今西北工业大学自动化学院副研究员
2016.12-2020.6西北工业大学自动化学院助理研究员
2011.9-2016.12西北工业大学 自动化学院 博士
2013.9-2015.9 University of Georgia联合培养博士研究生
2007.9-2011.7 西北工业大学自动化学院本科





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招生信息 Admission Information
欢迎优秀学生保送和报考一级学科“控制科学与工程”（二级学科“控制理论与控制工程”、“模式识别与智能系统”、"导航制导与控制"）专业的硕士研究生。
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。
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；部分研究方向同学与国外知名****共同指导；表现优秀的同学，提供国内外会议交流的机会。欢迎来信咨询： shijiezhao@nwpu.eu.cn。





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科学研究 Scientific Research
研究方向：
医学图像处理、人工智能算法、图像视频处理、脑影像分析、类脑计算
科研项目：
1. 国家自然科学基金青年基金：基于深度神经网络的任务态脑功能网络检测与分析方法研究，2019.1-2021.12；
2. NSFC-重点项目子课题: 基于机器学习的类脑视觉运动感知关键技术与方法，2021-2024；
3. 国家重点研发计划子课题：空间导航神经环路启发的新型神经网络及智能计算方法研究，2021-2023；
4. NSFC-联合基金子课题：面向医学图像信息的强泛化智能计算技术，2019.1-2022.12
5. 中国博士后科学基金第12批特别资助(站中)，2019.1-2020.12；
6. 中国博士后科学基金面上项目，2017.1-2018.12；
7. 中央高校基本科研业务费资助项目，2020.1-2021.12；







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学术成果 Academic Achievements
学术论文
[1] Guangyu Guo#, Zhuoyan Liu#, Shijie Zhao#*, Lei Guo, Tianming Liu.Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19[J]. IEEE Journal of Biomedical and Health Informatics. Accepted, 2021. (共同一作, 通讯作者, IF=5.233，SCI一区, TOP期刊)
[2] Wei Zhang#, Shijie Zhao#, Xintao Hu#, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu, Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning, Brain Connectivity, 2020, 10(2):72-82. (共同一作，IF=5.263)
[3] Yan Cui#, Shijie Zhao#, Yaowu Chen, Junwei Han, Lei Guo, Li Xie, Tianming Liu, Modeling Brain Diverse and Complex Hemodynamic Response Patterns via Deep Recurrent Autoencoder, IEEE Transactions on Cognitive and Developmental Systems, 2020, 12(4):733-743. (共同一作，SCI二区，IF=2.667)
[4] Han Wang#, Shijie Zhao#, Qinglin Dong, Yan Cui, Yaowu Chen, Junwei Han, Li Xie, Tianming Liu, Recognizing Brain States Using Deep Sparse Recurrent Neural Network, IEEE Transactions on Medical Imaging, 2019,4(38):1058-1068.(共同一作，SCI一区，IF=6.685，TOP期刊)
[5] Yan Cui#, Shijie Zhao#, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu, Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network, IEEE Journal of Biomedical and Health Informatics, 2018, 23(6):2515-2525. (共同一作，SCI二区，IF=5.223,TOP期刊)
[6] Yan Cui#, Shijie Zhao#, Han Wang, Leo Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu, Identifying Brain Networks of Multiple Time Scales via Deep Recurrent Neural Network, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018:284-292，Granada, Spain, September 16-20. (共同一作，EI，医学图像处理顶会)
[7] Shijie Zhao, Junwei Han^*, Jinglei Lv, Xi Jiang, Xintao Hu, Bao Ge, Lei Guo, Tianming Liu^*, Supervised dictionary learning for inferring concurrent brain networks, IEEE Transactions on Medical Imaging, 2015, 34(10): 2036-2045. (SCI一区，IF=6.685，TOP期刊)
[8] Shijie Zhao, Junwei Han^*, Xi Jiang, Heng Huang, Huan Liu, Jinglei Lv, Lei Guo, Tianming Liu^*, Decoding auditory saliency from brain activity patterns during free listening to naturalistic audio excerpts, Neuroinformatics, 2018, (4):1-16. (SCI二区，IF=5.127)
[9] Shijie Zhao, Junwei Han^*, Xintao Hu, Xi Jiang, Jinglei Lv, Tuo Zhang, Shu Zhang, Lei Guo, Tianming Liu^*, Extendable supervised dictionary learning for exploring diverse and concurrent brain activities in task-based fMRI, Brain Imaging and Behavior, 2018,(12):743-757. (SCI二区，IF=3.39)
[10] Shijie Zhao, Xi Jiang, Junwei Han^*, Xintao Hu, Dajiang Zhu, Jinglei Lv, Tuo Zhang, Lei Guo and Tianming Liu, Decoding auditory saliency from fMRI brain imaging, ACM international conference on Multimedia (ACM MM), 2014:873-876, Orlando, USA, November 3-7. (EI，多媒体处理顶会)
[11] Shijie Zhao, Junwei Han^*, Xi Jiang, Xintao Hu, Jinglei Lv, Shu Zhang, Lei Guo, Tianming Liu. Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation. IEEE International Conference on Multimedia and Expo (ICME), 2016:1-6, Seattle, USA, July 11-15.(EI，多媒体处理顶会，最佳学生论文提名)
[12] Shijie Zhao, Junwei Han^*, Jinglei Lv, Xi Jiang, Xintao Hu, Shu Zhang, Mary Ellen Lynch, Claire Coles, Lei Guo, Xiaoping Hu, Tianming Liu. A multi-stage sparse coding framework to explore the effects of prenatal alcohol exposure. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016:28-36, Athens, Greece, October 17-21. (EI, 医学图像处理顶会)
[13] 赵世杰, 韩军伟, 贺胜，程塨, 郭雷. 视频显著性计算模型及其在广告插入中的应用. 吉林大学学报:工学版, 2014, 44(1):235-240.(EI期刊)
[14] Junwei Han, Shijie Zhao, Xintao Hu^*, Lei Guo, Tianming Liu, Encoding brain network response to free viewing of videos, Cognitive Neurodynamics, 2014, 8(5):389-397. (SCI三区，IF=3.925)
[15] Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu, HAFNI-Enabled Largescale Platform for Neuroimaging Informatics (HELPNI), Brain Informatics, 2015, 2(4):225-238. (Springer医学图像处理期刊)
[16] Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu^*, Modeling task fMRI data via deep convolutional autoencoder, IEEE Transactions on Medical Imaging, 2017, DOI: 10.1109/TMI.2017.**. (SCI一区，IF=6.685，TOP期刊)
[17] Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu^*, Temporal dynamics assessment of spatial overlap pattern of functional brain networks reveals novel functional architecture of cerebral cortex, IEEE Transactions on Biomedical Engineering, 2016, DOI: 10.1109/TBME.2016.**. (SCI二区，IF=4.424)
[18] Jinglei Lv#, Xi Jiang#, Xiang Li#, Dajiang Zhu#, Shu Zhang, Shijie Zhao, Hanbo Chen, Tuo Zhang, Xintao Hu, Junwei Han, Jieping Ye, Lei Guo, Tianming Liu, Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Biomedical Engineering, 2015, 62(4):1120-1131. (SCI二区，IF=4.424)
[19] Yu Zhao, Hanbo Chen, Yujie Li, Jinglei Lv, Xi Jiang, Fangfei Ge, Tuo Zhang, Shu Zhang, Bao Ge, Cheng Lyu, Shijie Zhao, Junwei Han, Lei Guo, Tianming Liu, Connectome-scale Group-wise Consistent Resting-state Network Analysis in Autism Spectrum Disorder, Neuroimage: Clinical, 2016, 12(C):23-33. (SCI二区，IF=4.35)
[20] Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu, Four-Dimensional Modeling of fMRI Data via Spatio–Temporal Convolutional Neural Networks (ST-CNNs), IEEE Transactions on Cognitive and Developmental Systems, 2020，12(3):451-460. (SCI二区，IF=2.667)
[21] Liting Wang, Xintao Hu, Huan Liu, Shijie Zhao, Lei Guo, Junwei Han, Tianming Liu, Functional Brain Networks underlying Auditory Saliency during Naturalistic Listening Experience, Accepted, IEEE Transactions on Cognitive and Developmental Systems, 2020. (SCI二区，IF=2.667)
[22] Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Wei Zhang, Qinghua Zhao, Xiang Li, Xi Jiang, Junwei Han, Lei Guo, Tianming Liu, Signal sampling for efficient sparse representation of resting state fMRI data, Brain Imaging and Behavior, 2015,10(4):1-17. (SCI二区，IF=3.39)
[23] Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Shijie Zhao, Tuo Zhang, Xintao Hu, Junwei Han, Lei Guo, Zhihao Li, Claire Coles, Xiaoping Hu*, Tianming Liu*, Assessing Effects of Prenatal Alcohol Exposure Using Group-wise Sparse Representation of FMRI Data. Psychiatry Research: Neuroimaging, 2015, 233 (2):254-268. (SCI三区，IF=2.063)
[24] Jinglei Lv, Armin Iraji, Fangfei Ge, Shijie Zhao, Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Zhifeng Kou, Tianming Liu. Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016:46:-54, Athens, Greece, October 17-21. (EI, 医学图像处理顶会)
[25] Qinghua Zhao, Jianfeng Lu, Jinglei Lv, Xi Jiang, Shijie Zhao, Tianming Liu, Exploring Brain Networks via Structured Sparse Representation of FMRI Data, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016:55-62, Athens, Greece, October 17-21. (EI, 医学图像处理顶会)
[26] Yu Zhao,Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu, Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN), International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018:181-189, Granada, spain, September 16-20. (EI, 医学图像处理顶会)
[27] Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Tianming Liu, Modeling Functional Dynamics of Cortical Gyri and Sulci, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016:19-27, Athens, Greece, October 17-21. (EI, 医学图像处理顶会)
[28] Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu, Identify Hierarchical Structures from Task-based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019:745-753, Shenzhen, China, October 13-17. (EI, 医学图像处理顶会)
[29] Lin Zhao, Huan Liu, Xi Jiang, Shijie Zhao, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang, A Task Performance-guided Model of Functional Networks Identification, IEEE International Symposium on Biomedical Imaging (ISBI), 2019.
[30] Liting Wang, Xintao Hu, Meng Wang, Junwei Han, Shijie Zhao, Lei Guo, Tianming Liu, Decoding dynamic auditory attention during naturalistic experience, IEEE International Symposium on Biomedical Imaging (ISBI), 2017, Melbourne, Australia, April 18-21. (EI, 医学图像处理重要国际会议)
[31] Qinghua Zhao, Xi Jiang, Shijie Zhao, Xintao Hu, Junwei Han, Jianfeng Lu, Tianming Liu, Identifying Consistent Functional Brain Landmarks via Group-wise Sparse Representation of Concatenated Multitask fMRI Data, accepted, IEEE International Symposium on Biomedical Imaging (ISBI), 2018, Washington, DC, USA, April 4-7. (EI, 医学图像处理重要国际会议)
[32] Huan Liu, Shijie Zhao, Xi Jiang, Xintao Hu, Lei Guo, Tianming Liu, Characterizing Task-evoked and Intrinsic Functional Networks from Task-based fMRI Data via Two-stage Sparse Dictionary Learning, IEEE International Symposium on Biomedical Imaging (ISBI), 2018, Washington, DC, USA, April 4-7. (EI, 医学图像处理重要国际会议)
[33] Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Wei Zhang, Qinghua Zhao, Xiang Li, Xi Jiang, Junwei Han, Lei Guo, Tianming Liu, Signal sampling for efficient sparse representation of resting state fMRI data, pp. 1360-1363, IEEE International Symposium on Biomedical Imaging (ISBI), 2015. (EI, 医学图像处理重要国际会议)







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团队信息 Team Information
自动化学院郭雷、韩军伟教授团队成员;
与美国佐治亚大学、加拿大西安大略大学、香港城市大学等保持长期的密切合作；
信息融合技术教育部重点实验室成员。


在读硕士：


在读硕士：
2021级：李文远(南京理工大学保送)、魏树行(合肥工业大学保送)、侯文宇(西北工业大学)、高则域(中北大学)
2020级：费瑶(长安大学保送)、刘卓妍(长安大学保送)、王君鑫(西北工业大学)







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综合介绍 General Introduction
Academic Service：
Frontiers Human Neuroscience Review Editor
Frontiers in Computational Neuroscience (SCI 二区期刊)，Review Editor；
医学图像计算青年研讨会(MICS) 执行委员
中国图象图形学会视觉认知与计算 专委会委员
IEEE Transactions on Medical Imaging Reviewer
IEEE Journal of Biomedical and Health Informatics Reviewer
IEEE Transactions on Systems, Man and Cybernetics: SystemsReviewer
IEEE Transactions on Human-Machine Systems Reviewer
IEEE Transactions on Cognitive and Developmental Systems Reviewer
Neurocomputing Reviewer
MICCAI Reviewer