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