Shouqun Liu

Engineering Manager at ByteDance

California, United States
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Summary

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Senior
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Top School
Shouqun Liu is an engineering manager and W3C Advisory Committee representative based in California, leading ByteDance’s cross-platform framework team behind Lynx. With 11+ years of experience and a PhD from USTC, he brings deep systems and browser-engine expertise from roles as a Chromium/Blink committer and core contributor to the Crosswalk mobile web engine. He has led web technology teams at Xiaomi and contributed runtime, rendering and GPU acceleration optimizations across HTML5, WebGL and video playback. Shouqun also contributes to ML infrastructure on GitHub, including MXNet speech-model work, showing a rare blend of browser/runtime performance tuning and applied machine learning. Colleagues rely on him to bridge low-level engine internals with product-facing cross-platform frameworks that scale across mobile and embedded environments.
code11 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Science and Technology of China
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Stackoverflow

Stats
1reputation
0reached
3answers
0questions
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Github Skills (12)

mxnet10
machine-learning10
speech-recognition10
deep-learning10
python10
caffe9
c-language8
cprogramming-language8
opencv6
gradient-descent6
tensorflow6
face-recognition6

Programming languages (4)

C++ShellVim ScriptPython

Github contributions (5)

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apache/mxnet

Feb 2017 - Sep 2017

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:
userML Engineer
Contributions:6 commits, 9 PRs, 19 comments in 6 months
Contributions summary:Shouqun contributed to the `apache/mxnet` repository by implementing and debugging deep learning models, particularly related to speech recognition tasks. Their work included adding and modifying example scripts for speech demos, integrating with Kaldi features, and generating data processing utilities. The contributions also involved fixing shape issues in C++ package examples. The user also worked on converting Caffe models into the MXNet format.
pythonschedulerdataflowmutationdata-science
vsooda/vimrc

Apr 2015 - Dec 2024

Contributions:24 pushes, 3 branches in 9 years 10 months
vimvim-pluginneovimvim-configurationvimrc-configuration
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