导师个人信息 - 电子科大研招网

生命科学与技术学院

导师代码：	12270
导师姓名：	蒋希
性别：	男
特称：	电子科技大学百人计划入选者
职称：	副研究员
学位：	哲学博士学位
属性：	专职
电子邮件：	xijiang@uestc.edu.cn

学术经历：

2008/04－2010/07 西北工业大学自动化学院，生物医学成像与分析联合实验室，研究助理；
2010/08－2016/08 美国佐治亚大学计算机科学系，CAID实验室，研究助理；
2016/08－2016/12 美国佐治亚大学计算机科学系，CAID实验室，博士后；
2017/02－2023.12 电子科技大学生命科学与技术学院，生物医学工程系，副研究员；
2024/01－至今电子科技大学生命科学与技术学院，生物医学工程系，特聘研究员

个人简介：

2005/09－2009/07 西北工业大学自动化学院，自动化，学士（2009年陕西省优秀毕业生）；
2010/08－2016/08 美国佐治亚大学计算机科学系，计算机科学，博士（2016年佐治亚大学计算机系杰出毕业生、2016年中国政府国家留学基金委优秀自费留学生奖学金）
电子科技大学百人计划入选者，特聘研究员、博士生导师。具有计算机科学与脑科学的交叉背景，已开展“医工交叉”研究15年，主要研究方向为脑影像分析方法与应用。四川省第十四批学术和技术带头人后备人选。担任医学图像计算国际顶级会议MICCAI 2022和2023年领域主席，MICCAI 2019学生旅行奖评选委员，期刊Frontiers in Neuroscience-Brain Imaging Methods的Associate Editor以及多个国际重要期刊及会议评审。曾获得2018-19年度美国李氏基金会杰出成就奖之学术发展奖、2016年国家优秀自费留学生奖等多项荣誉。

科研项目：

作为项目负责人主持多项课题，包括国家自然科学基金三项（面上两项、青年一项）、美国李氏基金会杰出成就奖科研基金、四川省科技厅项目、四川省海外留学人才资助项目、中央高校基本科研业务费等，在研课题经费能够满足学生科研需求。
现为高校“青椒”一枚，会全方位亲自参与学生科研工作，和学生共同进步和成长。课题组倡导平等和谐的师生关系和学习科研氛围，尽力为学生创造优良的学习科研条件和环境，为学生发展考虑。课题组与美国佐治亚大学、美国德克萨斯大学阿灵顿分校、西北工业大学等国内外知名高校实验室以及美国西门子等知名医疗公司保持稳定合作关系，学生有机会参与与上述高校及公司的科研合作项目或短期访问交流，表现优秀者可推荐到上述国内外高校攻读博士。
课题组现有的两个研究方向为：1.医学影像人工智能。具体为基于深度学习、机器学习等算法模型分析处理多模态医学影像及其在脑认知、脑疾病诊断（孤独症等）的应用。主要投稿期刊为TMI, MedIA, NeuroImage等顶级期刊，主要投稿会议为MICCAI、IPMI等顶级会议。2.通用人工智能。具体为脑启发的计算机视觉、机器人等研究。主要投稿会议为NeurIPS、CVPR、ICML等AI顶会。
欢迎满足以下条件的同学在本科阶段参与本课题组科研项目，保送或报考研究生：1.具有生物医学工程/计算机/自动化/电子工程/图像及信号处理或其他相关工科背景，有一定编程基础，有兴趣从事医学影像人工智能或通用人工智能的研究。2.具有较好的英语表达和写作能力。3.诚实守信、勤奋好学，对科研工作有积极的求真求实态度。

研究成果：

在包括IEEE TNNLS、IEEE TMI、Medical Image Analysis、Information Fusion、IEEE JBHI、IEEE TBME、NeuroImage等国际期刊和MICCAI等国际会议发表论文140余篇，第一/通讯作者30余篇，编写学术论著1章节。谷歌学术总引用3500余次，h指数31，i10指数81。详细成果请参见谷歌学术：https://scholar.google.com/citations?user=Cv3JHdYAAAAJ&hl=en。实验室Github主页：https://github.com/XiJiangLabUESTC。部分成果介绍如下：
Z Xiao, Y Chen, J Yao, L Zhang, Z Liu, Z Wu, X Yu, Y Pan, L Zhao, C Ma...X Jiang. Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer. Information Fusion, 104, 102204, 2024.
W Mao, Y Chen, Z He, Z Wang, Z Xiao, Y Sun...X Jiang. Brain Structural Connectivity Guided Vision Transformers for Identification of Functional Connectivity Characteristics in Preterm Neonates. IEEE Journal of Biomedical and Health Informatics, in press, 2024.
W Mao, Y Chen, Z He, Z Wang, Z Xiao, Y Sun...X Jiang. Brain Structural Connectivity Guided Vision Transformers for Identification of Functional Connectivity Characteristics in Preterm Neonates. IEEE Journal of Biomedical and Health Informatics, in press, 2024.
Y Chen, Z Xiao, Y Du, L Zhao, L Zhang, Z Wu, D Zhu, T Zhang,...X Jiang. A Unified and Biologically Plausible Relational Graph Representation of Vision Transformers. IEEE Transactions on Neural Networks and Learning Systems, in press, 2024.
Z Xiao, L He, B Zhao, M Jiang, W Mao, Y Chen, T Zhang, X Hu,...X Jiang. Regularity and variability of functional brain connectivity characteristics between gyri and sulci under naturalistic stimulus. Computers in Biology and Medicine 168, 107747, 2023.
C Ma, L Zhao, Y Chen, L Guo, T Zhang, X Hu, D Shen, X Jiang#, T Liu#. Rectify vit shortcut learning by visual saliency. IEEE Transactions on Neural Networks and Learning Systems, 2023.
C Ma, L Zhao, Y Chen, S Wang, L Guo, T Zhang, D Shen, X Jiang#, T Liu#. Eye-gaze-guided vision transformer for rectifying shortcut learning. IEEE Transactions on Medical Imaging, 2023.
Jiang X, Yan J, Zhao Y, Jiang M, Chen Y, Zhou J, Xiao Z, Wang Z, Zhang R, Becker B, Zhu D, Kendrick KM, and Liu T. Characterizing Functional Brain Networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs). Neural Networks, in press, 2022.
Jiang M, Chen Y, Yan J, Xiao Z, Mao W, Zhao B, Yang S, Zhao Z, Zhang T, Guo L, Becker B, Yao D, Kendrick KM, Jiang X. Anatomy-Guided Spatio-Temporal Graph Convolutional Networks (AG-STGCNs) for Modeling Functional Connectivity Between Gyri and Sulci Across Multiple Task Domains. IEEE Trans Neural Netw Learn Syst. (IEEE TNNLS), 2022 Aug 5;PP. doi: 10.1109/TNNLS.2022.3194733.
Yan J, Chen Y, Xiao Z, Zhang S, Jiang M, Wang T, Zhang T, Lv J., Becker B, Zhang R, Zhu D, Han J, Yao D, Kendrick K, Liu T, Jiang X. Modeling Spatio-Temporal Patterns of Holistic Functional Brain Networks via Multi-Head Guided Attention Graph Neural Networks (Multi-Head GAGNNs). Medical Image Analysis, 2022: 80, 102518.
Chen Y, Yan J, Jiang M, Zhang T, Zhao Z, Zhao W, Zheng J, Yao D, Zhang R, Kendrick KM, Jiang X. Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification. IEEE Trans Neural Netw Learn Syst. (IEEE TNNLS) 2022 Mar 14;PP. doi: 10.1109/TNNLS.2022.3154755.
Yan J, Chen Y, Yang S, Zhang S, Jiang M, Zhao Z, Zhang T, Zhao Y, Becker, B, Liu, T, Kendrick, K, Jiang X. Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021: 564–573.
Jiang X, Ma X, Geng Y, Zhao Z, Zhou F, Zhao W, Yao S, Yang S, Zhao Z, Becker B, Kendrick KM. Intrinsic, dynamic and effective connectivity among large-scale brain networks modulated by oxytocin. Neuroimage. 2021 Feb 15;227:117668.
Jiang X, Zhang T, Zhang S, Kendrick KM, Liu T. Fundamental Functional Differences between Gyri and Sulci: Implications for Brain Function, Cognition and Behavior, Psychoradiology, 2021. 1(1):23–41.
Chen Y, Yan J, Jiang M, Zhao Z, Zhao W, Zhang R, Kendrick KM, Jiang X. Attention-Based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021. 374-385.
Yan J, Zhao Y, Jiang M, Zhang S, Zhang T, Yang S, Chen Y, Zhao Z, He Z, Becker B, Liu T, Kendrick KM, Jiang x. A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021. 350-361.
Jiang X, Li X, Lv J, Zhao S, Zhang S, Zhang W, Zhang T, Han J, Guo L, Liu T. Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex. IEEE Transactions on Biomedical Engineering, 65(6):1183-1192, 2018.
Liu H, Zhang S, Jiang X, Zhang T, Huang H, Ge F, Zhao L, Li X, Hu X, Han J, Guo L, Liu T. The cerebral cortex is bisectionally segregated into two fundamentally different functional units of gyri and sulci. Cerebral Cortex, 2018.
Zhang S*, Jiang X*, Zhang W*, Zhang T, Chen H, Zhao Y, Lv J, Guo L, Howell BR, Sanchez MM, Hu X, Liu T. Joint representation of connectome-scale structural and functional profiles for identification of consistent cortical landmarks in macaque brain. Brain Imaging Behav. 2018.
Zhang W*, Jiang X*, Zhang S*, Howell, BR, Zhao Y, Zhang T, Guo, L, Sanchez, MM, Hu X, Liu T. Connetome-scale functional intrinsic connectivity networks in macaques. Neuroscience. 364:1-14, 2018.
Lv J*, Jiang X*, Li X*, Zhu D*, Zhang S, Zhao S, Chen H, Zhang T, Hu X, Han J, Ye J, Guo L, Liu T. Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function. IEEE Transactions on Biomedical Engineering, 62(4):1120-31, 2015.
Lv J*, Jiang X*, Li X*, Zhu D, Chen H, Zhang T, Zhang S, Hu X, Han J, Huang H, Zhang J, Guo L, Liu T. Sparse Representation of Whole-Brain FMRI Signals for Identification of Functional Networks. Medical Image Analysis, 20(1):112-34, 2015.
Jiang X, Li X, Lv J, Zhao S, Zhang S, Zhang W, Zhang T, Liu T. Modeling Functional Dynamics of Cortical Gyri and Sulci. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 9900:19-27, 2016.
Jiang X, Zhang T, Zhao Q, Lu J, Guo L, Liu T. Fiber Connection Pattern-guided Structured Sparse Representation of Whole-Brain FMRI Signals for Functional Network Inference. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 9349:133-141, 2015.
Jiang X, Li X, Lv J, Zhang T, Zhang S, Guo L, Liu T. Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex. Hum Brain Mapp. 2015 Dec;36(12):5301-19.

专业研究方向：

专业名称	研究方向	招生类别
083100生物医学工程	02医学成像与图像处理技术，03生物医学信号与信息处理，07计算神经科学与类脑智能，08电子科技大学-加拿大麦吉尔大学生物医学工程-神经科学双硕士教育项目	硕士学术学位