学科 : 计算机科学与技术
方向 :人工智能物联网，智慧医疗
电子邮件 :wwang@bit.edu.cn
办公地址 :
个人简历
王伟，北京理工大学长聘副教授，博士生导师，斯坦福发布全球前2%顶尖科学家，澳门大学“濠江学者”，辽宁省心血管病影像医学重点实验室（北部战区总医院）特聘专家。博士毕业于大连理工大学。在人工智能物联网的智慧医疗研究、基于时空轨迹大数据的智慧城市研究和基于学术大数据的计算社会科学研究, 进行了较系统、深入的研究，获得了国内外同行的广泛认可和跟踪研究。主持国家自然科学基金青年基金项目并参与科技部重点研发计划。在IEEE TCBB, JBHI, TII, TNNLS, TITS, TBD, ACM TWEB, TKDD, TOIT, WWW 等顶级期刊会议上，发表论文超过100篇，其中以第一作者或通讯作者发表论文40余篇，包括ESI高被引论文10篇；热点论文3篇；IEEE/ACM Transactions论文20篇，中科院1区论文20篇；两项工作被Nature Index和科学网等国内外媒体报道和转载；担任Electronics的主题编委,重庆邮电大学学报编委，以及IEEE JBHI, IEEE TCSS, IEEE TCE, ACM TOIT, IEEE Sensor Journal, Computer Communication等多个国际SCI期刊专刊的(Leading) 客座编辑。担任IEEE SmartIoT 2019、2020, IEEE HealthCom 2020等多个国际会议Co-Chair或TPC member。受邀为IEEE TKDE, IEEE TITS, IEEE Network, IEEE TII、IEEE IOTJ、IEEE COMMUN MAG、IEEE TITS、IJCAI, WWW等期刊或会议审稿。现为IEEE高级会员、CCF会员、ACM会员。
教育培训经历
2008.09-2012.06，沈阳大学，电子信息科学与技术，学士
2012.09-2018.09，大连理工大学， 软件工程，博士（硕博连读）
工作经历
2018.12-2020.12 澳门大学智慧城市与物联网国家重点实验室，濠江学者博士后
2021.01-2022.11 中山大学智能工程学院，百人计划长聘副教授
2022.12至今 北京理工大学医学技术学院，长聘副教授，博士生导师
学术任职
2022至今，Associate Editor, IEEE Transactions on Consumer Electronics
2023年，Leading Guest Editor, IEEE Journal of Biomedical and Health Informatics
研究领域
人工智能物联网，智慧医疗，计算社会科学
讲授课程
《软件工程》
教材及专著
参与项目
1.国家自然科学基金资助项目（青年），基于知识表示学习的交通大数据分析与预测，主持，2022年-2025年
2.科技部重点研发计划，桥岛隧多模态数据协同互联及知识化关键技术，参与，2019年-2022年
SCI Journal paper
1.J. Chen, Z., X. Xu, L. Zhang, Y. Teng, Y. Chen, M. Wozniak, and W. Wang*, A Robust Deep Learning Framework Based on Spectrograms for Heart Sound Classification, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Accepted. In Press (2023).
2.W. Wang, X. Yu, B. Fang, D. Zhao, Y. Chen, W. Wei, and J. Chen. “Cross-modality LGE-CMR Segmentation using Image-to-Image Translation based Data Augmentation.” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023.
3.Q. Lai(研一学生), J. Tian, W. Wang*, and X. Hu. "Spatial-Temporal Attention Graph Convolution Network on Edge Cloud for Traffic Flow Prediction." IEEE Transactions on Intelligent Transportation Systems, 2022.
4.Y. Lu(研三学生), W. Wang*, Xi. Hu, P. Xu, S. Zhou, and M. Cai. "Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks." IEEE Transactions on Intelligent Transportation Systems, 2022.
5.X. Huang(本科生), J. Chen, M. Cai, W. Wang*, and X. Hu, “Traffic Node Importance Evaluation Based on Clustering in Represented Transportation Networks,” IEEE Transactions on Intelligent Transportation Systems, pp. 1–11, 2022.
6.W. Wang, F. Xia, J. Wu, Z. Gong, H. Tong, and B. D. Davison,“Scholar2vec: vector representation of scholars for lifetime collaborator prediction,” ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 15, no. 3, pp. 1–19, 2021.
7.W. Wang, J. Chen, Y. Zhang, Z. Gong, N. Kumar, and W. Wei,“A multi-graph convolutional network framework for tourist flow prediction,” ACM Transactions on Internet Technology (TOIT), vol. 21, no. 4, pp. 1–13, 2021.
8.W. Wang, N. Kumar, J. Chen, Z. Gong,, and H. Gao, “Realizing the potential of internet of things for smart tourism with 5g and ai,” IEEE NETWORK, pp. 1–7, 2020.
9.W. Wang, X. Zhao, Z. Gong, Z. Chen, N. Zhang, and W. Wei,“An attention-based deep learning framework for trip destination prediction of sharing bike,” IEEE Transactions on Intelligent Transportation Systems, pp. 1–11, 2020.
10.W. Wang, F. Xia, H. Nie, X. Kong, and W. Wei,“Vehicle trajectory clustering based on dynamic representation learning of internet of vehicles,” IEEE Transactions on Intelligent Transportation Systems, pp. 1–11, 2020.
EI Journal paper
1.Jian Chen (研二硕士), W. Wang*, Junxin Chen, Ming Cai, Dynamic Vehicle Graph Interaction for Trajectory Prediction based on Video Signals, ICASSP 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 4-10 2023, Greece (2023).
2.W. Wang, B. Lu, Y. Li, W. Wei, J. Li, S. Mumtaz, and M. Guizani,“Task scheduling game optimization for mobile edge computing,” in 2021-IEEE International Conference on Communications. IEEE, 2021, pp. 1–6.
3.W. Wang, J. Chen, W. Sun, and Z. Gong, “Scientific collaboration sustainability prediction based on h-index reciprocity,” in Proceedings of the 30th International Conference on World Wide Web, WWW’20, 2020.
4.W. Wang, J. Liu, F. Xia, I. King, and H. Tong, “Shifu: Deep learning based advisor-advisee relationship mining in scholarlybig data,” in WWW’17 , 2017, pp. 303–310.
5.F. Xia, N. Y. Asabere, J. J. Rodrigues, F. Basso, N. Deonauth, and W. Wang, “Socially-aware venue recommendation for conference participants,” in IEEE UIC, 2013, pp. 134–141. ( Best Paper Award)
中文论文
专利
所获奖励/荣誉