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年博士毕业于南京航空航天大学，2018-2019在美国北卡罗来纳大学教堂山分校访学。主要从事医疗人工智能与神经影像智能计算研究。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60余篇，包括 IEEE TMI、IEEE TNSRE、IEEE TBME、Medical Image Analysis、Neural Networks、ICLR、AAAI、IJCAI 和 MICCAI 等。中国图象图形学学会脑图谱专业委员会委员。研究成果获江苏省自然科学二等奖(2025)、全国创新创业大赛优秀博士后(2021)、江苏创新创业优秀博士后(2025)、全国博士后创新创业大赛银奖(2021)、中国图象图形学学会优秀博士学位论文提名奖(2021)等荣誉。

 

拟招收硕士研究生5名，欢迎对医疗人工智能、深度学习、医学影像计算、脑科学等方向感兴趣的同学与我联系，请发送个人简历至邮箱：wml489@nuist.edu.cn

• 研究方向：医疗人工智能、深度学习、医学影像计算、脑科学

• 谷歌学术主页：

https://scholar.google.com/citations?user=lncR2lgAAAAJ&hl=zh-CN 

部分代表成果：

[1] Shaolong Wei, Qiyu Sun, Mingliang Wang*, Liang Sun, Weiping Ding, Jiashuang Huang. Spike-based Digital Brain: A novel fundamental model for brain activity analysis. International Conference on Learning Representations (ICLR), 2026. (CCF A)

[2] Mingliang Wang, Xizhi Li, Qiyu Sun, Wenyang Li, Yulin Wang, Jiashuang Huang, Liang Sun, Daoqiang Zhang, Mingxia Liu. Topology-Learnable Static-Dynamic Graph Convolutional Network for Brain Disorder Detection With Functional MRI. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2026, 34:2093-2105. (中科院一区)

[3] Mingliang Wang, Tingting Ye, Cheng Ma, Xizhi Li, Mingxia Liu, Daoqiang Zhang. Effective distance-based multi-modality feature selection for Alzheimer’s disease identification. Biomedical Signal Processing and Control, 2026, 123:110582. (中科院二区)

[4] Wenyang Li, Mingliang Wang*, Mingxia Liu, Qingshan Liu. Riemannian manifold-based disentangled representation learning for multi-site functional connectivity analysis. Neural Networks, 2025, 183:106945. (中科院一区, CCF B)

[5] 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. (中科院一区, CCF C)

[6] 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. (中科院一区, CCF C)

[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, 2020, 39(3):644-655. (中科院一区, CCF B)

[8] 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, 2020, 67(8):2241-2252. (中科院二区)

[9] 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. (中科院一区, CCF C)

[10] 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. (中科院二区)

[11] 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)

[12] 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)

[13] 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)

• 主持科研项目：

     国家自然科学基金，面上项目，2025-2028

     国家自然科学基金，青年项目，2022-2024

     江苏省自然科学基金，青年项目，2021-2024

     江苏省高校自然科学基金，面上项目(A类)，2021-2023

     中国博士后科学基金，面上项目(一等)，2022-2023

 

邮编 : 210044

通讯/办公地址 : 计算机学院、软件学院临江楼A1304

邮箱 : wml489@nuist.edu.cn