Email:weiwang@tjnu.edu.cn
教授、博士生导师
目前研究方向包括:图信号处理、动态信号智能挖掘、可解释人工智能技术、计算机视觉目标检测与识别
教育经历
2007.9-2010.7天津大学,测试计量技术及仪器,博士
2003.9-2006.3天津大学,测试计量技术及仪器,硕士
1999.9-2003.7北京科技大学,测控技术与仪器,学士
主要学术任职
2019 IEEE Senior Member
2021 Outstanding Associate Editor of IEEE Access
主要科研工作经历
2017.11-至今,天津师范大学,电子与通信工程学院,教授
2012.10-2017.11,天津师范大学,电子与通信工程学院,副教授
2010.7-2012.10,天津师范大学,电子与通信工程学院,讲师
主持的主要科研项目
[1]面向任务的智能传感网优化部署,国家自然科学基金,50万,2024.1.1-2027.12.31
[2]基于HIL的多任务XXXX训练模拟系统,天津市智能制造专项项目,51.6万;2021.1-2022.12
[3]人工智能及传感器技术服务智慧城市研讨会,国家自然科学基金,15万,2020.07-2021.06,
[4]基于张量的多源异构数据流挖掘,国家自然科学基金,59万,2020.01-2023.12
[5]基于传感网的地质灾害监测研讨会,国家自然科学基金,15万,2017.01-2017.12
[6]基于压缩域传感网数据流的状态识别算法研究,国家自然科学基金,21万,2016.01-2018.12
主要科研论著
[1]Xiu Zhang, Xin Zhang,Wei Wang, Intelligent Information Processing with Matlab, Springer, 2023
[2]《人工智能教学设计与案例》,电子工业出版社,主编:张新、韩亮、丁晓铭;副主编:韩婷婷、王为、张宝菊,2023
[3]Wei Wang,Guangming Wang, Xiaoming Ding, Baoju Zhang, Artificial Intelligence in Education and Teaching Assessment, Springer, 2021
[4]Tariq S.Durrani,Wei Wang, Sheila M Forbes, Geological Disaster Monitoring Based on Sensor Networks, Springer,2018
[5]Hefei Gao, Naiyu Cui,Wei Wang*,Deployment Optimization of Intelligent Wireless Sensor Network using Graph Similarity based on Multi-Granularity Cross Representation and Matching, IEEE/ACM Transactions On Networking, 2023.9,
[6]Wei Wang*,Qianwen Zhu, Hefei Gao, Drift Detection of Intelligent Sensor Network Deployment Based on Graph Stream, IEEE Trans. On Network Science and Engineering, 2023, Vol.10(2) :1096-1106
[7]Mengjun Zhang,Wei Wang*, Weighted Adaptive Partition for Heterogeneous IoT Data Stream, IEEE Internet of Things Journal, 2021, Vol.8(20):15240-15248
[8]Yifei Yuan, Zhixiong Wang,Wei Wang*. Unsupervised Concept Drift Detection Based On Multi-scale Slide Windows, Ad Hoc Networks, Vol.111,2021,2
[9]Wei Wang*, Mengjun Zhang, Self-Adaptive Gathering for Energy Efficient Data Stream in Heterogeneous Wireless Sensor Networks based on Deep Learning, IEEE Wireless Communications, 2020, Vol.27(5):74-79
[10]Wei Wang*, Min Zhang,Tensor Deep Learning Model for Heterogeneous Data Fusion in Internet of Things, IEEE Transactions on Emerging Topics in Computational Intelligence, 2020, Vol.4(1):32-41
[11]Wei Wang*, Li Zhang, Mengjun Zhang, Zhixiong Wang, Few Shot Learning for Multi-class Classification based on Nested Ensemble DSVM, Ad Hoc Networks, Vol.98,2020,3