Shu Wang is a third-year Ph.D. student in the Center for Secure Information Systems (CSIS) at George Mason University, under the supervision of Dr. Kun Sun. Before that, he obtained his bachelor's degree in Communication Engineering in 2014 and master's degree in Signal and Information Processing in 2017 from Nanjing University of Posts and Telecommunications.
Shu Wang works as a graduate research assistant at the Center for Secure Information Systems (CSIS). His research interests lie primarily in the fields of information security and machine learning.
- Shu Wang, Jiahao Cao, Xu He, Kun Sun and Qi Li, "When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition," 2020 27th ACM Conference on Computer and Communications Security (CCS 2020), Orlando, USA, November 9-13, 2020. [pdf] [web]
- Shu Wang, Jiahao Cao, Kun Sun and Qi Li, "SIEVE: Secure In-Vehicle Automatic Speech Recognition Systems," 2020 23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2020), Donostia/San Sebastian, Spain, October 14-16, 2020. [pdf] [web]
- Xinda Wang, Shu Wang, Kun Sun, Archer Batcheller and Sushil Jajodia, "A Machine Learning Approach to Classify Security Patches into Vulnerability Types," 2020 8th IEEE Conference on Communications and Network Security (CNS 2020), Avignon, France, 2020, pp. 1-9. [pdf]
- Shu Wang, Feng Liu, Zongliang Gan and Ziguan Cui, "Vehicle Type Classification via Adaptive Feature Clustering for Traffic Surveillance Video," 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP 2016), Yangzhou, China, 2016, pp. 1-5. [pdf]
Email: swang47 AT gmu DOT edu