个人简介（简历）

男，博士，副教授，硕士生导师，中国计算机学会高级会员，IEEE高级会员，中国人工智能学会粒计算与知识发现专业委员会委员、中国人工智能学会机器学习专委会委员，MICS Online委员。香港理工大学电子计算学系访问学者（2010年1月至2010年6月），美国北卡罗来纳大学教堂山分校（UNC at Chapel Hill）博士后（2016年1月至2017年8月）。在IEEE TCYB、IEEE TNNLS、IEEE TMI、IEEE TFS、IEEE TSMCA、IEEE TBME、IEEE JBHI、MedIA, PR、《计算机学报》、《软件学报》、《自动化学报》、《智能系统学报》等权威期刊上发表高水平学术论文80多篇，Google Scholar引用超5000次；先后主持国家自然科学基金（面上项目、青年项目）、科技部重点研发子课题、上海市自然科学基金项目、江苏省自然科学基金（面上项目、青年项目）等；获江苏省高校科研成果自然科学一等奖（2016年）、中国产学研创新成果一等奖（2023 年）。

研究方向为机器学习、医学影像智能计算、不确定性人工智能。近年来重点探索多中心多模态脑疾病辅助诊断中的关键技术、不确定性引导的可解释性机器学习技术在医学影像中的应用；同时面向智慧医疗的临床需求进行工程开发及产业应用。

本科生教学

面向对象程序设计、数据挖掘

研究生培养

研究生招生方向：机器学习、医学影像智能计算、不确定性人工智能。

主要学术论文

(1) Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi: Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images. IEEE Trans. Medical Imaging 43(3): 902-915 (2024)

(2) Xin Wang, Jun Wang, Fei Shan, Yiqiang Zhan, Jun Shi, Dinggang Shen: Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning. Comput. Biol. Medicine 159: 106890 (2023)

(3) Hao Zhu, Jun Wang *, Yin-Ping Zhao, Minhua Lu, Jun Shi: Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification. IEEE Trans. Biomed. Eng. 70(6): 1943-1954 (2023)

(4) Zhaowu Lu, Jun Wang *, Rui Mao, Minhua Lu, Jun Shi: Jointly Composite Feature Learning and Autism Spectrum Disorder Classification Using Deep Multi-Output Takagi-Sugeno-Kang Fuzzy Inference Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 476-488 (2023)

(5) Qiong Wu, Jun Wang *, Zongqiong Sun, Lei Xiao, Wenhao Ying, Jun Shi: Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks. IEEE J. Biomed. Health Informatics 27(11): 5564-5575 (2023)

(6) Jun Wang, Fengyexin Zhang, Xiuyi Jia, Xin Wang, Han Zhang, Shihui Ying, Qian Wang, Jun Shi, Dinggang Shen: Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition. Medical Image Anal. 75: 102294 (2022)

(7) Zhongyi Hu, Jun Wang *, Chunxiang Zhang, Zhenzhen Luo, Xiaoqing Luo, Lei Xiao, Jun Shi: Uncertainty Modeling for Multicenter Autism Spectrum Disorder Classification Using Takagi-Sugeno-Kang Fuzzy Systems. IEEE Trans. Cogn. Dev. Syst. 14(2): 730-739 (2022)

(8) Wei Zhang, Zhaohong Deng, Jun Wang, Kup-Sze Choi, Te Zhang, Xiaoqing Luo, Hong-Bin Shen, Wenhao Ying, Shitong Wang: Transductive Multiview Modeling With Interpretable Rules, Matrix Factorization, and Cooperative Learning. IEEE Trans. Cybern. 52(10): 11226-11239 (2022)

(9) Jun Wang, Zhuangzhuang Zhao, Zhaohong Deng, Kup-Sze Choi, Lejun Gong, Jun Shi, Shitong Wang: Manifold-Regularized Multitask Fuzzy System Modeling With Low-Rank and Sparse Structures in Consequent Parameters. IEEE Trans. Fuzzy Syst. 30(5): 1486-1500 (2022)

(10)Weichang Ding, Jun Wang *, Weijun Zhou, Shichong Zhou, Cai Chang, Jun Shi: Joint Localization and Classification of Breast Cancer in B-Mode Ultrasound Imaging via Collaborative Learning With Elastography. IEEE J. Biomed. Health Informatics 26(9): 4474-4485 (2022)

(11)Xiangmin Han, Xiaoyan Fei, Jun Wang, Tao Zhou, Shihui Ying, Jun Shi, Dinggang Shen: Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities. IEEE Trans. Medical Imaging 41(8): 2009-2020 (2022)

(12)Peng Xu, Zhaohong Deng, Jun Wang, Qun Zhang, Kup-Sze Choi, Shitong Wang: Transfer Representation Learning With TSK Fuzzy System. IEEE Trans. Fuzzy Syst. 29(3): 649-663 (2021)

(13)Jun Wang, Defu Lin, Zhaohong Deng, Yizhang Jiang, Jihua Zhu, Lei Chen, Zuoyong Li, Lejun Gong, Shitong Wang: Multitask TSK Fuzzy System Modeling by Jointly Reducing Rules and Consequent Parameters. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4078-4090 (2021)

(14)Jun Wang, Lichi Zhang, Qian Wang, Lei Chen, Jun Shi, Xiaobo Chen, Zuoyong Li, Dinggang Shen: Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation. IEEE Trans. Medical Imaging 39(10): 3137-3147 (2020)

(15)Feng Shi#, Jun Wang #, Jun Shi#, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen: Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. IEEE Reviews in Biomedical Engineering 14(1): (2021).

(16)Jun Wang, Qian Wang, Han Zhang, Jiawei Chen, Shitong Wang, Dinggang Shen: Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns. IEEE Trans. Cybern. 49(8): 3141-3154 (2019)

(17)Jun Wang, Huan Liu, Xiaohua Qian, Yizhang Jiang, Zhaohong Deng, Shitong Wang: Cascaded Hidden Space Feature Mapping, Fuzzy Clustering, and Nonlinear Switching Regression on Large Datasets. IEEE Trans. Fuzzy Syst. 26(2): 640-655 (2018)

(18)Shitong Wang, Jun Wang, Fulai Chung: Kernel Density Estimation, Kernel Methods, and Fast Learning in Large Data Sets. IEEE Trans. Cybern. 44(1): 1-20 (2014)