Shengzhe Xu

shengzx@vt.edu

Website

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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STAN: 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

Shengzhe Xu

Publications

Projects

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