姓名：汪美玲
职称：副教授
部门：计算机技术研究所
研究方向：机器学习、模式识别、医学图像分析
邮箱：mely@njupt.edu.cn
博士，副教授（预聘教授），2020年毕业于南京航空航天大学计算机科学与技术学院，自2021年1月至2023年10月在南京航空航天大学开展博士后研究。2023年11月加入南京邮电大学计算机学院刘青山教授团队。截至目前，已经以一作/通讯作者在 IEEE TMI、IEEE TCBB、IEEE TNNLS、IEEE TIM、IEEE TCDS、Bioinformatics、Medical Image Analysis、软件学报等国内外权威期刊/会议上发表学术论文近30篇，并申请/授权国家发明专利10余项。主持国家自然科学基金面上项目/青年项目、江苏省自然科学基金面上项目、中国博士后科学基金特别资助等国家/省部级课题7项，先后参与国家自然科学基金重点项目、江苏省重点研发项目等。担任 MICS 委员会委员和“2024 MICCAI Workshop on AI for Imaging Genomic Learning”共同主席。获全国创新创业优秀博士后和江苏省创新创业优秀博士后以及江苏省人工智能学会优秀博士论文奖等荣誉。
[1] , Wei Shao, Daoqiang Zhang, and Qingshan Liu. Identification of Genetic Risk Factors Based on Disease Progression Derived From Modeling Longitudinal Phenotype Latent Pattern Representation, IEEE Transactions on Medical Imaging, Early Access. doi: 10.1109/TMI.2025.3627406.
[2] , Liang Sun, Wei Shao, and Daoqiang Zhang. Discovering Differential Imaging Genetic Modules via Multimodal Fusion-Based Hypergraph Transductive Learning in Alzheimer’s Disease Diagnosis, IEEE Transactions on Medical Imaging, 2025, 44(11): 4592–4604.
[3] , Wei Shao, Daoqiang Zhang, and Qingshan Liu. Deep Ring-Wise Block Network for Joint Association Analysis and Alzheimer’s Disease Diagnosis With Interpretability, IEEE Transactions on Computational Biology and Bioinformatics, 2025, 22(5): 2129–2142.
[4] , Wei Shao, Shuo Huang, and Daoqiang Zhang. Identifying Longitudinal Intermediate Phenotypes Between Genotypes and Clinical Score via Exclusive Relationship-Induced Association Analysis in Alzheimer’s Disease, IEEE Transactions on Cognitive and Developmental Systems, 2025, 17(2): 340–351.
[5] , Wei Shao, Shuo Huang, and Daoqiang Zhang. Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer’s disease diagnosis, Medical Image Analysis, 2023, 89: 102883.
[6] , Chaowei Duan, Zhisheng Wang, and Changda Xing. Deep Margin Cosine Autoencoder Based Medical Hyperspectral Image Classification for Tumor Diagnosis, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 2520512.
[7] , Wei Shao, Xiaoke Hao, Shuo Huang, and Daoqiang Zhang. Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis, Bioinformatics, 2022, 38(8): 2323–2332.
[8] , Wei Shao, Xiaoke Hao, and Daoqiang Zhang. Identify complex imaging genetic patterns via fusion self-expressive network analysis, IEEE Transactions on Medical Imaging, 2021, 40(6): 1673–1686.
[9] , Wei Shao, Xiaoke Hao, Li Shen, and Daoqiang Zhang. Identify consistent cross-modality imaging genetic patterns via discriminant sparse canonical correlation analysis, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, 18(4): 1549–1561.
[10] , Xiaoke Hao, Jiashuang Huang, Wei Shao, and Daoqiang Zhang. Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer’s disease, Bioinformatics, 2019, 35(11): 1948–1957.
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地点：南京市亚东新城文苑路 9 号，6 号学科楼
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电话：025-85866422
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邮编：210023
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电子邮箱：jsjy@njupt. edu.. cn
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传真：025-85866434
