南京信息工程大学计算机与软件学院副教授，硕士生导师。2020年于南京航空航天大学获博士学位，2018-2019在美国北卡罗来纳大学教堂山分校访学。主要从事人工智能、机器学习、医学图像分析等方向研究。主持国家自然科学基金面上和青年项目、江苏省自然科学基金、中国博士后基金面上项目、江苏省高校自然科学基金、工信部重点实验室开放课题等科研项目多项。在国际著名期刊、会议发表论文30余篇，包括 IEEE Transactions on Medical Imaging、IEEE Transactions on Biomedical Engineering、Medical Image Analysis、AAAI 和 MICCAI 等。获全国创新创业大赛优秀博士后、江苏创新创业优秀博士后、全国博士后创新创业大赛银奖、中国图象图形学学会优秀博士学位论文提名奖等荣誉。

研究领域和方向

    人工智能、机器学习、医学图像分析；

科研成果

科研项目

    [1] 国家自然科学基金，面上项目，2025-2028，主持；

    [2] 国家自然科学基金，青年项目，2022-2024，主持；

    [3] 江苏省自然科学基金，青年项目，2021-2024，主持；

    [4] 江苏省高校自然科学基金，面上项目(A类)，2021-2023，主持；

    [5] 中国博士后科学基金，面上项目(一等)，2022-2023，主持；

代表论文

     Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Mingxia Liu, Qingshan Liu. Consistent connectome landscape mining for cross-site brain disease identification using functional MRI. Medical Image Analysis, 2022, 82:102591. (CCF C, SCI一区, IF=10.7)

     Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang. Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. Medical Image Analysis, 2021, 71:102063. (CCF C, SCI一区, IF=10.7)

     Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu. Identifying Autism Spectrum Disorder with Multi-Site fMRI via Low-Rank Domain Adaptation. IEEE Transactions on Medical Imaging, 2019, 39(3):644-655. (CCF B, SCI一区, IF=8.9)

     Mingliang Wang, Chunfeng Lian, Dongren Yao, Daoqiang Zhang, Mingxia Liu, Dinggang Shen. Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE Transactions on Biomedical Engineering, 2019, 67(8):2241-2252. (SCI二区, IF=4.4)

      Mingliang Wang, Daoqiang Zhang, Dinggang Shen, Mingxia Liu. Multi-task Exclusive Relationship Learning for Alzheimer's Disease Progression Prediction with Longitudinal Data. Medical Image Analysis, 2019, 53:111-122. (CCF C, SCI一区, IF=10.7)

      Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu. Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics, 2020, 18:43-57. (SCI二区, IF=2.7)

      Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang. Functional connectivity network analysis with discriminative hub detection for brain disease identification. Proceedings of the AAAI Conference on Artificial Intelligence, 2019, 33: 1198-1205. (CCF A)

      Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu. Low-Rank Representation for Multi-Center Autism Spectrum Disorder Identification. International conference on medical image computing and computer-assisted intervention (MICCAI), 2018, 647-654. (CCF B)

      Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang. Multi-level multi-task structured sparse learning for diagnosis of schizophrenia disease. International conference on medical image computing and computer-assisted intervention (MICCAI), 2017, 46-54.  (CCF B)

 社会兼职

    担任 IEEE TMI, IEEE TNNLS, IEEE TBME, IEEE TCDS, Neural Networks, Pattern Recognition, MICCAI 等若干国际权威期刊/会议的审稿人；