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index.html
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<!DOCTYPE HTML>
<html lang="en">
<head>
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-6GNDKYY7RY"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-6GNDKYY7RY');
</script>
<title>Zijing "Jimmy" Hu</title>
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
<meta name="author" content="Zijing "Jimmy" Hu" />
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" href="./style/style.css" />
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<style>@media
only screen and (max-width: 767px) {
.hidImg{
display:none;
}
}</style>
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<h1>
Zijing "Jimmy" Hu
</h1>
<span style="font-size: 16px;">I am a doctoral student in Quantitative Marketing at Mays Business School, Texas A&M University. I obtained my master's degree in Business Analytics from Brandeis University and my bachelor’s degree in Marketing from University of International Business and Economics.<br><br>My research interests focus on market research methodology and platform strategy. I employ interdisciplinary methods in my projects, including econometric model, deep learning, reinforcement learning, and game theory.</span>
<p style="text-align:center">
<a target="_blank" href="mailto:[email protected]"> Email</a>
/ <a target="_blank" href="https://github.com/zijinghu">GitHub</a>
<!--
<a target="_blank" href="https://scholar.google.com/citations?user=GCYG4GoAAAAJ">Google Scholar</a> /
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/ <a target="_blank" href="https://www.linkedin.com/in/zijing-hu"> LinkedIn </a>
<!--
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</p>
</td>
<td style="padding:6.5%;width:40%;max-width:40%" class="hidImg">
<img style="width:100%;max-width:100%" alt="profile photo" src="./file/images/headshot.png">
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<h2>News</h2>
</td>
</tr>
</table>
<br>
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<div class="listbox">
<ul>
<li>2024-12-27 [Scheduled Presentation] <b>2025 AIM Conference</b> (Los Angeles, CA)</li><li>2024-11-19 [Scheduled Presentation] <b>2025 Winter AMA Conference</b> (Phoenix, AZ)</li><li>2024-03-26 [Nomination] <b>2024 ISMS Doctoral Consortium</b> (UNSW Sydney)</li><li>2024-03-15 [Scheduled Presentation] <b>2024 TPM Conference</b> (UT Austin)</li><li>2024-01-25 [Scheduled Presentation] <b>2024 AIM Conference</b> (USC)</li><li>2023-10-14 [Scheduled Presentation] <b>2023 Conference on AI/ML/BA</b> (Temple)</li>
</ul>
</div>
</table>
<br>
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<h2>Working Papers</h2>
<div id="filter_wp" style="display:none;">
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<button class="filter" id="filter_wp_time">Time</button>
<button class="filter" id="filter_wp_theme">Theme</button>
<button class="filter" id="filter_wp_method">Methodology</button>
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<br>
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<ol> <li style="margin-bottom: 5pt;">
<h3>NLVAE: A new machine learning approach for extracting and identifying sales-driving product attributes</h3>
<br>
<strong>Zijing "Jimmy" Hu</strong>, Venkatesh Shankar
<br><a target="_blank" href="./file/slides/nlvae.pdf">[slide]</a>
<br>
</li>
<li style="margin-bottom: 5pt;">
<h3>Recovering true consumer preferences through varying realization probabilities</h3>
<br>
<strong>Zijing "Jimmy" Hu</strong>
<br>
</li>
<li style="margin-bottom: 5pt;">
<h3>Rejection design for crowdsourcing platforms</h3>
<br>
<strong>Zijing "Jimmy" Hu</strong>, Xuying Zhao
<br>
</li>
</ol>
</table>
<br>
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<td style="width:100%;vertical-align:middle">
<h2>Teaching</h2><br>
<span style="font-size:14px;">Undergraduate Level* Graduate Level<sup>†</sup></span>
</td>
</tr>
</table>
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<ul style="margin-block-start:0em;margin-block-end:0em;">
<li>Instructor <ul style="font-size:16px;"><li style="font-style:italic;">Marketing Analytics*, Texas A&M University, Evaluation: 4.5/5.0 & 4.0/5.0, Fall 2023</li></ul></li>
<li>Teaching Assistant <ul style="font-size:16px;"><li style="font-style:italic;">Innovation and Product Management*, Rajan Varadarajan, Texas A&M University, Fall 2024</li><li style="font-style:italic;">Marketing Metrics<sup>†</sup>, Yan "Lucy" Liu, Texas A&M University, Summer 2024</li><li style="font-style:italic;">Marketing Research*, Yan "Lucy" Liu, Texas A&M University, Spring 2024</li><li style="font-style:italic;">Marketing Analytics<sup>†</sup>, Xavi Vidal-Berastain, Brandeis University, Fall 2020</li><li style="font-style:italic;">Machine Learning and Data Analysis for Business and Finance<sup>†</sup>, Blake LeBaron, Brandeis University, Spring 2020</li></ul></li>
<li>Guest Lecture <ul style="margin-block-end:0em;font-size:16px;"><li style="font-style:italic;">Strategic Digital Marketing*, Venkatesh Shankar, Texas A&M University, Fall 2022</li></ul></li>
<ul>
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<h2>Notes</h2>
</td>
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</table>
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<ul style="margin-block-end:0em;font-size:16px;margin-block-start:0px;"><li><i>Game Theory Toy Models</i><a target="_blank" href="./file/notes/game.html"> <u>notes</u></a></li><li><i>Difference-in-Difference</i><a target="_blank" href="./file/notes/did.html"> <u>notes</u></a><a target="_blank" href="./file/notes/Borusyak-ES-plots.do"> <u>Borusyak-ES-plots.do</u></a></li><li><i>Identification in Econometrics</i><a target="_blank" href="./file/notes/identification.html"> <u>notes</u></a></li><li><i>Causal Machine Learning</i><a target="_blank" href="./file/notes/cml.html"> <u>notes</u></a><a target="_blank" href="./file/notes/cml.py"> <u>cml.py</u></a></li><li><i>Simulation-Based Methods</i><a target="_blank" href="./file/notes/sim.html"> <u>notes</u></a></li><li><i>Measurement Error Model</i><a target="_blank" href="./file/notes/me.html"> <u>notes</u></a><a target="_blank" href="./file/notes/me_ipynb.html"> <u>demo</u></a></li><li><i>Random Coefficient Logit Models (BLP)</i><a target="_blank" href="./file/notes/blp.html"> <u>notes</u></a><a target="_blank" href="./file/notes/blp_ipynb.html"> <u>demo</u></a></li><li><i>Markov Chain and Queuing Systems</i><a target="_blank" href="./file/notes/mc.html"> <u>notes</u></a></li><li><i>Dynamic Programming and Reinforcement Learning</i><a target="_blank" href="./file/notes/dprl.html"> <u>notes</u></a><a target="_blank" href="./file/notes/dqn.py"> <u>dqn.py</u></a><a target="_blank" href="./file/notes/pg.py"> <u>pg.py</u></a></li><li><i>Partially Observed Systems</i><a target="_blank" href="./file/notes/pos.html"> <u>notes</u></a></li><li><i>Machine Learning with Graphs</i><a target="_blank" href="./file/notes/gnn.html"> <u>notes</u></a></li><li><i>Expectation-Maximization (EM) Algorithm</i><a target="_blank" href="./file/notes/Haugh-2015.pdf"> <u>Haugh-2015.pdf</u></a><a target="_blank" href="./file/notes/Pacifico-2012.pdf"> <u>Pacifico-2012.pdf</u></a></li></ul>
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<p style="text-align:center;font-size:small;">
© 2025 Zijing "Jimmy" Hu. Design and source code from <a style="font-size:small;" target="_blank" href="https://jonbarron.info">Jon Barron's</a> website.
</p>
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