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<!DOCTYPE html>
<html>
<head>
<meta name="viewport" content="width=device-width" />
<link rel="shortcut icon" href="favicon.ico" />
<script type="text/javascript" async src="fonts-min.js"></script>
<link rel="stylesheet" href="style.css" />
<meta charset="utf-8">
<meta name="description" content="Hyunsu Cho's website" />
<title>Hyunsu (Philip) Cho</title>
</head>
<body>
<div id="container" itemscope itemtype="http://schema.org/Person">
<div id="header">
<div id="my_name">
<h1 itemprop="name" id="name">Hyunsu (Philip) Cho</h1>
</div>
<div id="my_contact">
<p>
Senior Systems Software Engineer
<br>
<a href="https://nvidia.com/">NVIDIA</a>
</p>
</div>
<div class="clearboth"> </div>
</div>
<div id="profile-pic">
<img src="pic.jpg" width="150" height="150"
alt="Philip's picture" itemprop="image" />
</div>
<div id="quicklinks">
<ul class="jump-bar">
<li><a href="https://blog.hyunsu-cho.io">Blog</a></li>
<li class="middot">·</li>
<li><a href="cv/cv.pdf">Resume</a></li>
<li class="middot">·</li>
<li><a href="https://linkedin.com/in/chohyu01">LinkedIn</a></li>
<li class="middot">·</li>
<li><a href="https://github.com/hcho3">GitHub</a></li>
</ul>
</div>
<p>Contact me at chohyu01 (at) cs.washington.edu.</p>
<h2 id="industry">Experience</h2>
<ul>
<li>
<strong>Senior Systems Software Engineer</strong>
<div class="vspace"></div>
NVIDIA. April 2020—Present.
</li>
<li>
<strong>Applied Scientist</strong>: I was part of initial efforts to launch
<a href="https://aws.amazon.com/sagemaker/neo/">Amazon SageMaker Neo</a>
in November 2018.
<div class="vspace"></div>
Amazon Web Services. January 2018—February 2020.
</li>
<li>
<strong>Applied Scientist Intern</strong>
<div class="vspace"></div>
Amazon Web Services. June—December 2017.
</li>
</ul>
<h2 id="open-source">Open-source Involvement</h2>
<ul>
<li>
<strong>Lead Maintainer of
<a href="https://github.com/dmlc/xgboost">XGBoost</a></strong>
<div class="vspace"></div>
XGBoost is an efficient, scalable framework for
<a href="https://en.wikipedia.org/wiki/Gradient_boosting">gradient boosting</a>.
We are always looking to recruit new contributors.
</li>
<li>
Owner and Maintainer of
<strong><a href="https://github.com/dmlc/treelite">Treelite</a></strong>
<div class="vspace"></div>
Treelite is a model compiler for easy and efficient deployment of
<a href="https://en.wikipedia.org/wiki/Decision_tree_learning">decision tree
ensembles</a>. The Treelite project is used within
<a href="https://aws.amazon.com/blogs/machine-learning/aws-launches-open-source-neo-ai-project-to-accelerate-ml-deployments-on-edge-devices/">
Amazon SageMaker Neo</a> and <a href="https://github.com/rapidsai/cuml">RAPIDS Machine Learning Library</a>.
</li>
<li>
<a href="https://github.com/hcho3">My GitHub account</a>
</li>
</ul>
<h2 id="education">Education</h2>
<ul>
<li>
<strong>M.S. in Computer Science</strong>
<div class="vspace"></div>
Paul G. Allen School of Computer Science and Engineering, University of
Washington. September 2015—March 2018.
</li>
<li>
<strong>B.S. in Computer Science and Mathematics</strong>
<div class="vspace"></div>
Trinity College. 2012—2015.
</li>
</ul>
<h2 id="research">Articles and pre-prints</h2>
<ul>
<li>
<strong><a href="https://arxiv.org/abs/2006.04920">
Survival regression with accelerated failure time model in XGBoost
</a>
</strong>
<br>
with
<a href="https://www.linkedin.com/in/avinash-barnwal/">Avinash Barnwal</a>
and
<a href="https://tdhock.github.io/">Toby D. Hocking</a>
<div class="vspace"></div>
Preprint (2020), arXiv:2006.04920 [cs.LG]
</li>
</ul>
<h2 id="research">Peer-reviewed publications</h2>
<ul>
<li>
<strong><a href="block_distributed.html">
Block-distributed Gradient Boosted Trees
</a>
</strong>
<br>
with
<a href="https://www.sics.se/people/theodore-vasiloudis">Theodore Vasiloudis</a>
and <a href="https://www.kth.se/profile/henbos?l=en">Henrik Boström</a>
<div class="vspace"></div>
Paper presented at
<a href="https://sigir.org/sigir2019/">ACM SIGIR</a> (2019), best short paper award
</li>
<li>
<strong><a href="treelite_sysml.html">
Treelite: toolbox for decision tree deployment
</a>
</strong>
<br>
with
<a href="https://github.com/mli">Mu Li</a>
<div class="vspace"></div>
Poster presented at
<a href="http://www.sysml.cc">SysML 2018</a> (2018)
</li>
<li>
<strong><a href="hypergraph.html">
An accelerated procedure for hypergraph coarsening on the GPU
</a>
</strong>
<br>
with
<a href="http://internet2.trincoll.edu/facProfiles/Default.aspx?fid=1335119">
Lin Cheng</a> and
<a href="http://turing.cs.trincoll.edu/~pyoon/">Peter Yoon</a>
<div class="vspace"></div>
Paper presented at
<a href="http://www.ieee-hpec.org/2015/">IEEE HPEC</a> (2015)
</li>
<li>
<strong><a href="dstedc.html">
A memory-efficient algorithm for large-scale symmetric tridiagonal eigenvalue
problem on multi-GPU systems
</a>
</strong>
<br>
with
<a href="http://turing.cs.trincoll.edu/~pyoon/">Peter Yoon</a>
<div class="vspace"></div>
Paper presented at
<a href="http://worldacademyofscience.org/worldcomp14/ws/conferences/pdpta14">
WorldComp 2014: PDPTA</a> (2014)<br>
Poster presented at
<a href="http://www.gputechconf.com/page/home.html">
GPU Technology Conference</a> (2014)
</li>
<li>
<strong><a href="eigenmap_gpu.html">GPU accelerated vessel
segmentation using Laplacian eigenmaps</a></strong><br>
with
<a href="http://internet2.trincoll.edu/facProfiles/Default.aspx?fid=1335119">
Lin Cheng</a>,
<a href="http://turing.cs.trincoll.edu/~pyoon/">Peter Yoon</a> and
<a href="http://www.linkedin.com/pub/jiajia-zhao/34/a32/8ab">Jiajia Zhao</a>
<div class="vspace"></div>
Paper presented at
<a href="http://www.iasted.org/conferences/pastinfo-811.html">
IASTED PDCN</a> (2014)<br>
Poster presented at <a href="http://www.gputechconf.com/page/home.html">
GPU Technology Conference</a> (2013)
</li>
<li>
<strong>
<a href="cholesky.html">An efficient out-of-core implementation of block
Cholesky decomposition on a multi-GPU system</a></strong><br>
with
<a href="http://internet2.trincoll.edu/facProfiles/Default.aspx?fid=1335119">
Lin Cheng</a>,
<a href="http://turing.cs.trincoll.edu/~pyoon/">Peter Yoon</a> and
<a href="http://www.linkedin.com/pub/jiajia-zhao/34/a32/8ab">Jiajia Zhao</a>
<div class="vspace"></div>
Paper presented at
<a href="http://www.iasted.org/conferences/pastinfo-789.html">IASTED
PDCS</a> (2012), best paper award<br>
Poster presented at <a href="https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=14633">IEEE EMBS</a>
(2012)
</li>
</ul>
<h2 id="awards">Awards and Honors</h2>
<ul id="awards-list">
<li>
<strong><a href="https://sigir.org/awards/best-short-paper-awards/">
Best Short Paper Award</a></strong>,
ACM SIGIR 2019, Paris, France, July 25, 2019.
</li>
<li>
<strong>Winner of
<a href="http://cra.org/about/awards/outstanding-undergraduate-researcher-award/">
Outstanding Undergraduate Researcher Award</a></strong>,
Computing Research Association, 2015.</li>
<li>
<strong>Recipient of
<a href="https://goldwater.scholarsapply.org/2014-scholars/">
the Goldwater Scholarship</a></strong>,
The United States Congress, 2014.</li>
<li>
<strong><a href="http://www.cs.ucsb.edu/~teo/pdcs.12">
Best Paper Award</a></strong>,
The 24th IASTED International Conference on Parallel and Distributed
Computing and System, Las Vegas, NV, November 13, 2012.</li>
</ul>
<p>
<a href="https://validator.w3.org/check?uri=referer">
<img src="https://www.w3.org/html/logo/downloads/HTML5_Logo_32.png"
width="32" height="32" alt="HTML5 Powered with CSS3 / Styling"
title="HTML5 Powered with CSS3 / Styling" />
</a>
</p>
</div>
</body>
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