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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd">
<html>
<head>
<meta name="viewport" content="width=device-width">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<title>
Portfolio | Zhengxing Chen | Northeastern University
</title>
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<!-- menu -
<div class="row" style="margin-bottom:5%">
<ul class="menu">
<li class="menu_title">
<a href="index.html">Home</a>
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<li class="menu_title">
<a href="project.html">Projects <span style="font-size:50%">(Undergraduate) </span></a>
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<div class="col-md-4" style="text-align:right;font-size:0.8em;padding-left:0px;padding-right:0px;">
Zhengxing Chen
</br>
czxttkl@gmail.com
<hr align="right" style="border-top: 1px solid #E5E5E5;" /> PhD Student, RA
</br>
Computer Science
</br>
Northeastern Univ.
</br>
</div>
</div>
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<p>
My PhD research topic is building personalized recommendation systems in video games.
I am interested in player modeling, play style clustering and virtual behavior prediction in video games using machine learning, data mining and statistical tests.
</p>
<!-- Years of experience in <span>game analytics</span>. -->
<a href="https://github.com/czxttkl" target="_blank" title="Github">
<img class="snsicon" src="images/github.png" style="width: 20%; height: 20%">
</a>
<a href="http://cn.linkedin.com/pub/zhengxing-chen/4b/746/179" target="_blank" title="LinkedIn">
<img class="snsicon" src="images/linkedin.png" style="width: 20%; height: 20%">
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<a href="https://czxttkl.com/" target="_blank" title="WordPress">
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<div class="side-info col-md-9">
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<div class="experience">
<h3 style="margin-top:0px;">
Oct. 2018 - Present
</h3>
<img src="images/facebook_logo.png" width="150" height="50">
Research Scientist on Applied Reinforcement Learning
<br>
<br>
<ul style="list-style:disc">
<li>
Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye, Zhengxing Chen. <a taget="_blank" href="https://arxiv.org/abs/1811.00260">Horizon: Facebook's Open Source Applied Reinforcement Learning Platform</a>. In ICML RL4Real Workshop, 2019. <b>Best Paper</b>.
</li>
</ul>
</div>
<hr style="border-top: 1.5px solid #E5E5E5;">
<div class="experience">
<h3 style="margin-top:0px;">
Sept. 2013 - Oct. 2018
</h3>
<img src="images/northeastern.png" style="width: 40%; height: 40%">
PhD, Computer Science
<!--
<p>
In Feb 2013, I got admitted into the PhD program in Computer Science at Northeastern University, Boston. My future work will lie in the intersection areas of Computer Science and Health Informatics. Northeastern University, as well as the mHealth Lab I will be in, are vibrating and leading places in exloring interdisciplinary areas where I am determined to develop ways that could make life better and healthier by incorporating with excellent mates.
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-->
</div>
<h3>
Research Topic
</h3>
Personalized Recommendation Systems in Video Games
<br>
<br>
<ul style="list-style:disc">
<li>
Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, and Magy Seif El-Nasr. <a taget="_blank" href="https://arxiv.org/abs/1806.10130">The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games</a>. In ACM Conference on Recommnder System (RecSys), 2018.
</li>
<li>
Zhengxing Chen, Chris Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun, and Magy Seif El-Nasr. <a taget="_blank" href="https://arxiv.org/abs/1806.09771">Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games</a>. In IEEE Computational Intelligence and Games (CIG), 2018.
</li>
<li>
Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A. Zaman, Yizhou Sun, and Magy Seif El-Nasr. <a taget="_blank" href="https://arxiv.org/abs/1702.06820">EOMM: An Engagement Optimized Matchmaking Framework</a>. In International Conference on World Wide Web (WWW), 2017.
</li>
<li>
Zhengxing Chen, Yizhou Sun, Magy Seif El-Nasr, and Truong-Huy D. Nguyen. <a taget="_blank" href="https://arxiv.org/abs/1702.06253">Player Skill Decomposition in Multiplayer Online Battle Arenas</a>. In Meaningful Play, 2016. (<a target="_blank" href="ccis_paper_requirement/Zhengxing_Chen.html">Link</a>: NEU CCIS paper requirement page)
</li>
<li>
Zhengxing Chen, Magy Seif El-Nasr, Alessandro Canossa, Jeremy Badler, Stefanie Tignor, and Randy Colvin. <a taget="_blank" href="https://www.researchgate.net/publication/299657216_Modeling_Individual_Differences_through_Frequent_Pattern_Mining_on_Role-Playing_Game_Actions">Modeling Individual Differences through Frequent Pattern Mining on Role-Playing Game Actions</a>. In AIIDE-2015 Player Modeling Workshop, 2015.
</li>
<li>
Truong-Huy D. Nguyen, Zhengxing Chen, and Magy Seif El-Nasr. <a taget="_blank" href="https://books.google.com/books?id=7XV3CAAAQBAJ&lpg=PR8&dq=zhengxing%20chen&pg=PA481#v=onepage&q=zhengxing%20chen&f=false">Analytics-based AI Techniques for Better Gaming Experience</a>. In Game AI Pro 2, 2015.
</li>
<li>
Edward Melcer, Truong-Huy D. Nguyen, Zhengxing Chen, Alessandro Canossa, Magy Seif El-Nasr, and Katherine Isbister. <a taget="_blank" href="https://www.researchgate.net/publication/278678569_Games_Research_Today_Analyzing_the_Academic_Landscape_2000-2014">Games Research Today: Analyzing the Academic Landscape 2000-2014</a>. In Foundation of Digital Games, 2015. <b>Best Paper</b>.
</li>
</ul>
</div>
<div id="footer">
<br>
<!-- Visit
<a href="indexold.html">
old version
</a>
. -->
My resume: <a href="Zhengxing_Chen_Resume_2018_Oct.pdf" target="_blank">pdf</a>
. Contact me:
<a href="https://mail.google.com/mail/?view=cm&fs=1&tf=1&to=czxttkl@gmail.com" target="_blank">
czxttkl@gmail.com
</a>
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image.onload = resized;
d3.select(window)
.on("resize", resized)
.each(resized);
function drawImage(d) {
context.save();
context.beginPath();
context.moveTo(0, -radius);
for (var i = 1; i < 6; ++i) {
var angle = i * Math.PI / 3,
x = Math.sin(angle) * radius,
y = -Math.cos(angle) * radius;
context.lineTo(x, y);
}
context.clip();
context.drawImage(image,
imageWidth * d.i, imageHeight * d.j,
imageWidth, imageHeight, -imageWidth / 2, -imageHeight / 2,
imageWidth, imageHeight);
context.restore();
}
function resized() {
var deepWidth = innerWidth * (depth + 1) / depth,
deepHeight = height * (depth + 1) / depth,
centers = hexbin.size([deepWidth, deepHeight]).centers();
desiredFocus = [innerWidth / 2, height / 2];
moved();
graphic
.style("left", Math.round((innerWidth - deepWidth) / 2) + "px")
.style("top", Math.round((height - deepHeight) / 2) + "px")
.attr("width", deepWidth)
.attr("height", deepHeight);
centers.forEach(function(center, i) {
center.j = Math.round(center[1] / (radius * 1.5));
center.i = Math.round((center[0] - (center.j & 1) * radius * Math.sin(Math.PI / 3)) / (radius * 2 * Math.sin(Math.PI / 3)));
context.save();
context.translate(Math.round(center[0]), Math.round(center[1]));
drawImage(center.example = data[(center.i % 10) + ((center.j + (center.i / 10 & 1) * 5) % 10) * 10]);
context.restore();
});
mesh.attr("d", hexbin.mesh);
anchor = anchor.data(centers, function(d) {
return d.i + "," + d.j;
});
anchor.exit().remove();
anchor.enter().append("a")
.attr("target", function(d) {
if (d.example.url == "javascript:;")
return ""
else
return "_blank"
})
.attr("xlink:href", function(d) {
return d.example.url;
})
.attr("xlink:title", function(d) {
return d.example.title;
})
.append("path")
.attr("d", hexbin.hexagon());
anchor
.attr("transform", function(d) {
return "translate(" + d + ")";
});
}
function mousemoved() {
var m = d3.mouse(this);
desiredFocus = [
Math.round((m[0] - innerWidth / 2) / depth) * depth + innerWidth / 2,
Math.round((m[1] - height / 2) / depth) * depth + height / 2
];
moved();
}
function moved() {
if (idle) d3.timer(function() {
if (idle = Math.abs(desiredFocus[0] - currentFocus[0]) < .5 && Math.abs(desiredFocus[1] - currentFocus[1]) < .5) currentFocus = desiredFocus;
else currentFocus[0] += (desiredFocus[0] - currentFocus[0]) * .14, currentFocus[1] += (desiredFocus[1] - currentFocus[1]) * .14;
deep.style(transform, "translate(" + (innerWidth / 2 - currentFocus[0]) / depth + "px," + (height / 2 - currentFocus[1]) / depth + "px)");
return idle;
});
}
</script>
</html>