Feng Wang

Professor of Applied Computing

Arizona State University

Feng Wang is a professor in the applied computing program in the School of Mathematical and Natural Sciences at Arizona State University. Her research spans network science, social media analysis, network optimization, network security, and wireless sensor networks. She received her PhD in Computer Science from the University of Minnesota, Twin Cities, in 2005, her master’s degree in Computer Science from Peking University in 1999, and her bachelor’s degree in Computer Science from Wuhan University in 1996. She joined Arizona State University in 2007.

Publications with Xuanli Lin (5)

Guoliang Xue, Yinxin Wan, Xuanli Lin, Kuai Xu, Feng Wang (2024). Inferring User Activities from Internet of Things (IoT) Connected Device Events Using Machine Learning Based Algorithms. US20240403648A1.

Google Patents PDF

Kuai Xu, Yinxin Wan, Xuanli Lin, Feng Wang, Guoliang Xue (2023). Exploring Machine Learning Algorithms for User Activity Inference from IoT Network Traffic. IEEE MASS, 366-374.

IEEE Xplore PDF DOI

Yinxin Wan, Xuanli Lin, Kuai Xu, Feng Wang, Guoliang Xue (2023). Extracting Spatial Information of IoT Device Events for Smart Home Safety Monitoring. INFOCOM, 1-10.

IEEE Xplore PDF DOI

Xuanli Lin, Yinxin Wan, Kuai Xu, Feng Wang, Guoliang Xue (2022). Inferring User Activities from IoT Device Events in Smart Homes: Challenges and Opportunities. ICCCN, 1-10.

IEEE Xplore Slides PDF DOI

Guoliang Xue, Yinxin Wan, Xuanli Lin, Kuai Xu, Feng Wang (2022). An Effective Machine Learning Based Algorithm for Inferring User Activities From IoT Device Events. IEEE JSAC, 40(9), 2733-2745.

IEEE Xplore Code PDF DOI