Shengzhe Xu
Shengzhe Xu was a Ph.D. student in the Department of Computer Science. His advisor was Naren Ramakrishnan.
Xu's main research interest lies in deep generative models. He focused on generating multivariable time-series data and applying the approaches to the areas of network security and financial analysis.
Publications
-
General ItemSTAN: Synthetic Network Traffic Generation using Autoregressive Neural Models Date: Sep 26, 2020 -
Projects
In the News
-
Article Item
Congratulations to Sanghani Center 2025 Summer and Fall Graduates , article Date: Dec 19, 2025 - -
Article Item
Beat the heat: Virginia Tech team to study best ways to survive heat waves , article Date: Dec 14, 2022 - -
Article Item
DAC students working virtually at summer internships across the country , article Date: Jun 29, 2020 -