
Yinxin Wan
Assistant Professor of Computer Science
University of Massachusetts Boston
Yinxin Wan is an assistant professor in the Department of Computer Science at the University of Massachusetts Boston. His research focuses on cybersecurity, secure and trustworthy artificial intelligence, network measurement, the Internet of Things, and quantum networking. He received his PhD in Computer Science from Arizona State University in 2023, advised by Guoliang Xue and Kuai Xu, and his bachelor’s degree in Information Security from the University of Science and Technology of China.
Publications with Xuanli Lin (8)
Alena Chang, Yinxin Wan, Xuanli Lin, Guoliang Xue, Arunabha Sen
(2024).
Entanglement Distribution in LEO Satellite-based Dynamic Quantum Networks.
GLOBECOM, 4485-4490.
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.
Xuanli Lin, Zhaofeng Zhang, Yinxin Wan, Ethan Teo, Guoliang Xue, Yanchao Zhang
(2024).
Most Vulnerable Attack Trace in a Probabilistic Attack Graph.
MILCOM, 1070-1075.
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.
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.
Yinxin Wan
Equal contribution
, Xuanli Lin
Equal contribution
, Abdulhakim Sabur, Alena Chang, Kuai Xu, Guoliang Xue
(2023).
IoT System Vulnerability Analysis and Network Hardening with Shortest Attack Trace in a Weighted Attack Graph.
IoTDI, 315-326.
Best Paper Award
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.
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.