王骏 教授

办公室：

上海大学宝山东校区14号楼801室

通信地址(邮政编码):

上海市南陈路333号上海大学通信学院（200444）

电话：

  

电子邮件：

wangjun_shu@shu.edu.cn

个人主页：

https://scie.shu.edu.cn/Prof/wangjun.htm

【学术经历】

王骏，男，博士，教授，博士生导师，2010年南京理工大学计算机学院获博士学位。中国计算机学会高级会员，IEEE高级会员，中国人工智能学会机器学习专委会委员、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、中国认知科学学会儿童脑智发展与健康专委会委员。在IEEE Trans系列期刊、Medical Image Analysis、Neural Networks、Pattern Recognition、Information Sciences、Medical Physics、Artificial Intelligence in Medicine、计算机学报、软件学报、自动化学报、MICCAI等国内外权威期刊/会议发表论文近百篇；2016年获江苏省高校科研成果自然科学一等奖；2023年获中国产学研合作促进会“产学研合作创新成果奖”一等奖。   

【研究方向】

不确定性人工智能、医学影像智能计算、医学大数据、传统行业的智能化改造。

【本科生教学】

数据挖掘、面向对象程序设计、生物医药大数据与智能分析

【研究生培养】

研究生课程：机器学习

【近年来主要项目】

1. 国家自然科学基金面上项目，“面向多中心自闭症辅助诊断建模的多源领域自适应表示学习方法研究”, 2023.1-2026.12

2. 企业横向，“术中喉返神经智能监护系统”，2023.12-2024.11

3.“生物与信息融合”科技部重点专项课题，“面向疾病诊断的智能分析技术和产品开发”子课题，2023.11-2026.10

4. 国家重点研发计划“基于可解释深度学习的多中心跨模态医学影像分析”子课题，2022.4-2027.3

5. 上海市自然科学基金项目，“面向复杂场景自闭症辅助诊断的可解释性表示学习与深度建模新方法研究”2020.7-2023.6

6. 江苏省自然科学基金“基于注意缺陷多动障碍多模态医学影像的复杂关系约束弹性模糊系统建模方法研究”，2018.7-2021.6

【主要学术论文】

(1) Jiale Dun, Jun Wang, Juncheng Li, Qianhui Yang, Wenlong Hang, Xiaofeng Lu, Shihui Ying, Jun Shi: A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification. IEEE J. Biomed. Health Informatics 29(1): 310-323 (2025)

(2) Qingsen Bao, Lei Chen, Feng Zhang, Jun Wang, Changqing Zhang: Causal Evidence Learning for Trusted Open Set Recognition Under Covariate Shift. IEEE Trans. Circuits Syst. Video Technol. 34(12): 13085-13098 (2024)

(3) Yifan Wang, Hisao Ishibuchi, Witold Pedrycz, Jihua Zhu, Xiangyong Cao, Jun Wang *: Convolutional Fuzzy Neural Networks With Random Weights for Image Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3279-3293 (2024)

(4) Yan Hu, Jun Wang, Hao Zhu, Juncheng Li, Jun Shi: Cost-Sensitive Weighted Contrastive Learning Based on Graph Convolutional Networks for Imbalanced Alzheimer's Disease Staging. IEEE Trans. Medical Imaging 43(9): 3126-3136 (2024)

(5) 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)

(6) Shuang Liang, Wenlong Hang, Baiying Lei, Jun Wang, Jing Qin, Kup-Sze Choi, Yu Zhang: Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7726-7739 (2024)

(7) 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)

(8) 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)

(9) 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)

(10) 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)

(11) 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)

(12) 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)

(13) 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)

(14) 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)

(15) 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)

(16) 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)

(17) 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)

(18) 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)

(19) 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)

(20) 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).

(21) 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)

(22) 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)

(23) 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)