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siyuanzhaosiyuanzhao
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a new publication
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‎404.html

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<meta name="viewport" content="width=device-width, initial-scale=1">
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<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<meta name="theme" content="hugo-academic">
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<meta name="generator" content="Hugo 0.18.1" />
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<meta name="generator" content="Hugo 0.19" />
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<meta name="author" content="Siyuan Zhao">
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<meta name="description" content="Ph.D. Student">
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<link rel="stylesheet" href="/css/bootstrap.min.css">
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<link rel="stylesheet" href="/css/font-awesome.min.css">
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<link rel="stylesheet" href="/css/academicons.min.css">
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<link rel="stylesheet" href="//fonts.googleapis.com/css?family=Lato:400,700|Merriweather|Roboto+Mono">
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<link rel="stylesheet" href="//fonts.googleapis.com/css?family=Lato:400,700%7CMerriweather%7CRoboto+Mono">
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<link rel="stylesheet" href="/css/hugo-academic.css">
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<link rel="stylesheet" href="/css/custom.css">
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</ul>
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</div>
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<h2>Recent Publications</h2>
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<ul>
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<li><a href="https://siyuanzhao.github.io/publication/rcf-ite/">Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks</a></li>
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</ul>
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<ul>
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<li><a href="https://siyuanzhao.github.io/publication/aes/">A Memory-Augmented Neural Model for Automated Grading</a></li>
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</ul>
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<li><a href="https://siyuanzhao.github.io/publication/dkt-edm/">Going Deeper with Deep Knowledge Tracing</a></li>
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</ul>
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<ul>
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<li><a href="https://siyuanzhao.github.io/publication/">Publications</a></li>
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</ul>
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</div>
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<footer class="site-footer">

‎css/custom.css

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.card h4 {
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text-transform: none;
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}
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#profile .portrait-title h3 {
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color: black;
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}

‎css/hugo-academic.css

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}
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}
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.universal-wrapper {
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margin: 0 auto;
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padding-right: 15px;
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padding-left: 15px;
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width: 100%;
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}
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@media only screen and (min-width: 1001px) {
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.universal-wrapper {
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width: 1000px;
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}
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}
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/*************************************************
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* Home Sections
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**************************************************/
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animation: intro 0.3s both;
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animation-delay: 0.15s;
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}
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@media screen and (max-width: 768px) {
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.home-section {
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padding: 60px 0 60px 0;
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}
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.home-section:first-of-type {
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padding-top: 0;
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padding-top: 50px;
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.home-section:nth-of-type(even) {
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background-color: rgb(247, 247, 247);
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@media screen and (max-width: 768px) {
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.home-section {
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padding: 60px 0 60px 0;
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}
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.home-section:first-of-type {
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padding-top: 40px;
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}
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}
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.section-heading h1 {
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margin: 0 0 10px 0;
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}
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animation-delay: 0.15s;
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.article-container {
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max-width: 760px;
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padding: 1rem 20px 0 20px;
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margin: 0 auto 0 auto;
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}
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.article-header {
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position: relative;
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clear: both;
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}
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.article-banner {
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width: 100%;
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height: auto;
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}
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.article-header-caption {
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position: absolute;
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bottom: 0;
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right: 0;
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margin: 0 auto;
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padding: 2px 5px;
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color: #fff;
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font-size: .7em;
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background: #000;
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text-align: right;
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z-index: 5;
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opacity: 0.65;
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border-radius: 5px 0 0 0;
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}
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@media (min-width: 64em) {
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.article-header-caption {
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padding: 5px 10px;
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}
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}
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.article-header-caption a {
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color: #fff;
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text-decoration: none;
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}
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.article-title {
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font-size: 1.75rem;
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.article-style img,
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#comments {
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padding-top: 1rem;
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/*************************************************
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min-height: 70px !important;
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/* Prevent navbar hiding initial content when jumping to in-page anchor. */
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*[id]:not([id^="fn"]):before {
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content: " ";
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margin-top: -70px;
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height: 70px;
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visibility: hidden;
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}
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box-shadow: 0 0.125rem 0.25rem 0 rgba(0,0,0,.11)
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min-height: 50px !important;
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*[id]:not([id^="fn"]):before {
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height: 50px;
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}
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‎index.html

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<meta name="viewport" content="width=device-width, initial-scale=1">
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<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<meta name="theme" content="hugo-academic">
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<meta name="generator" content="Hugo 0.18.1" />
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<meta name="generator" content="Hugo 0.19" />
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<meta name="author" content="Siyuan Zhao">
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<meta name="description" content="Ph.D. Student">
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<link rel="stylesheet" href="/css/bootstrap.min.css">
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<link rel="stylesheet" href="/css/font-awesome.min.css">
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<link rel="stylesheet" href="/css/academicons.min.css">
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<link rel="stylesheet" href="//fonts.googleapis.com/css?family=Lato:400,700|Merriweather|Roboto+Mono">
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<link rel="stylesheet" href="//fonts.googleapis.com/css?family=Lato:400,700%7CMerriweather%7CRoboto+Mono">
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</ul>
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</div>
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<div class="portrait-title">
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<h2 itemprop="name">Siyuan Zhao</h2>
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<h3 itemprop="jobTitle">Ph.D. Student</h3>
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<h3 itemprop="worksFor">Worcester Polytechnic Institute</h3>
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<h3 itemprop="worksFor">
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Worcester Polytechnic Institute
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</h3>
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<p>I am advised by <a href='http://www.neilheffernan.net/' target='_blank'>Prof. Neil Heffernan</a> and work in ASSISTments Lab to help develop and perform research within the adaptive online tutor.</p>
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<p>My research interests are in deep learning, educational data mining, natural language processing, and counterfactual inference. I have used neural networks models to predict student knowledge level, classify diagnoses from medical notes, build an automated essay scoring system, and estimate individual treatment effect for students from the dataset collected from randomized controlled trials running inside ASSISTments.</p>
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<p>My research interests are in educational data mining, deep learning, and domain adaptation. I have used neural networks models to predict student knowledge level, classify diagnoses from medical notes, build an automated essay scoring system, and estimate individual treatment effect from the data collected from experiments. Recently, I have started to learn about Bayesian Optimization (Gaussian Process).</p>
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<p>I have also built and published several web applications to integrate ASSISTments with other Learning Management Systems.</p>
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<h3>Interests</h3>
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<ul class="ul-interests">
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<li>Deep Learning</li>
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<li>Deep Learning</li>
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<li>Natural Language Processing</li>
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<li>Bayesian Optimization</li>
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<div class="col-md-12">
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<h3 class="article-title" itemprop="name">
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<a href="https://siyuanzhao.github.io/publication/rcf-ite/" itemprop="url">Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks</a>
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</h3>
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<div class="pub-abstract" itemprop="text">
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</div>
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<div class="pub-authors" itemprop="author">
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Siyuan Zhao, Neil Heffernan
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</div>
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<div class="pub-publication">
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In <em>EDM 2017 (to appear)</em>
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</div>
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<div class="pub-links">
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<a class="btn btn-primary btn-outline btn-xs" href="https://siyuanzhao.github.io/publication/rcf-ite/">
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Details
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</a>
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<a class="btn btn-primary btn-outline btn-xs" href="https://siyuanzhao.github.io/pdf/EDM_2017_paper_113.pdf">
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PDF
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</a>
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</div>
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</div>
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</div>
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</div>
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<div class="pub-list-item" itemscope itemtype="http://schema.org/CreativeWork">
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<div class="row">
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<div class="col-md-12">
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<h3 id="research-intern">Research Intern</h3>
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<p><em>Philips Research North America</em> <sub><sup>(May, 2016-August, 2016) - Cambridge, MA</sup></sub></p>
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<p><strong><em>Philips Research North America</em></strong> <small>(May, 2016-August, 2016) - Cambridge, MA</small></p>
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<li>Implemented Key-Value Memory Networks and Gated Attention Readers to classify diagnoses from medical notes</li>
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<p><em>ASSISTments Lab</em> <sub><sup>(2014-present) - WPI </sup></sub></p>
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<p><strong><em>ASSISTments Lab</em></strong> <small>(2014-present) - WPI </small></p>
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<li>Implemented a student model (knowledge tracing) with Long Short-Term Memory (LSTM) to predict the probability of a student making errors on given problems and measure student&rsquo;s knowledge level on given skills.</li>
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<li>Built a model for automated assignment grading tasks using memory networks and achieved state-of-the-art results on the Kaggle ASAP dataset.</li>
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<li>Estimated the individual treatment effect for students using a deep learning model from the dataset collected from randomized control trials running inside ASSISTments.</li>
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<li>Finished the <a href="https://web.cs.wpi.edu/Intranet/Graduate/compexam.html" target="_blank">Comprehensive Exam</a> on topics including Bayesian optimization, Gaussian process, aggregation of crowdsourced labels, and estimation of the treatment effect.</li>
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