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I am a final-year Ph.D. student in School of Electrical and Computer Engineering at Purdue University, supervised by Prof. Y. Charlie Hu. I am interested in mobile systems, edge computing, and their intersection with machine learning. My recent research focuses on building efficient machine learning inference systems for emerging applications like augmented reality. I received my B.E. in Computer Science and Technology from University of Science and Technology of China (USTC) in 2018.

I will be joining Nvidia as a Developer Technology Engineer in the summer of 2024.

Qiang Xu's Projects

centertrack icon centertrack

Simultaneous object detection and tracking using center points.

dblp-search icon dblp-search

A search engine for papers published on top CS conferences (based on CSRankings)

incubator-tvm icon incubator-tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

literal-mutator icon literal-mutator

Code for the paper "An Empirical Study on the Impact of Deep Parameters on Mobile App Energy Usage" (SANER 2022)

phosphor icon phosphor

Phosphor: Dynamic Taint Tracking for the JVM

soot icon soot

Soot - A Java optimization framework

vmtrace icon vmtrace

The extracted Android Studio CPU profiler's trace file parser

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