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<!DOCTYPE html>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<html lang="en" >
<head>
<title>Kuo-Wei Lai</title>
<link rel="icon" href="images/favicon.png">
<link rel="stylesheet" href="style_sheet/style.css">
<link href="https://fonts.googleapis.com/css2?family=Open+Sans:wght@300;400;500;600&display=swap" rel="stylesheet">
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<body>
<div id="info_column">
<div class="title" id="name">
<h1>Kuo-Wei Lai</h1>
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<img id="portrait" src="images/kuoweilai.jpg" draggable="false" />
<div class="content" id="short_description">
<p>A PhD Student in the School of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology<br><br>Email: klai36＠gatech.edu<br>Office: Coda 11th Floor S1125J</p>
</div>
<div class="link" id="links">
<a href="https://scholar.google.com/citations?user=4xx3pdoAAAAJ&hl=en">Google Scholar</a> | <a href="https://twitter.com/kuoweilai">Twitter (X)</a>
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<div id="content_column">
<div class="section_block" id="about_block">
<div class="section_title" id="about">
<h2>About Me</h2>
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<div class="section_content" id="short_bio">
<p>Hello, my name is Kuo-Wei, and I am currently a third-year PhD student in the Department of Electrical and Computer Engineering (ECE) at Georgia Tech. I have the privilege of being advised by <a href="https://vmuthukumar.ece.gatech.edu/">Prof. Vidya Muthukumar</a>. Prior to joining Georgia Tech, I worked as a Research Assistant in the Department of Biomedical Engineering at Johns Hopkins University (JHU), under the guidance of <a href="https://sites.google.com/view/jsulam">Prof. Jeremias Sulam</a>. At JHU, I earned my Master's degree in Robotics after completing my Bachelor's degree in the Department of Mechanical Engineering at National Taiwan University (NTU).<br><br>My research interests revolve around optimization problems within the fields of Machine Learning and Deep Learning. Lately, my focus has been particularly drawn to Implicit Bias and Out-of-Distribution (OOD) topics within learning theories.</p>
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</div>
<div class="section_block" id="news_block">
<div class="section_title" id="news">
<h2>News</h2>
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<div class="section_content" id="news_content">
<ul>
<li>November 2024: I am honored to receive the ARC-ACO Fellowship (Spring 2025 cycle).</li>
<li>April 2023: I am honored to receive the 2023 Outstanding ECE Graduate Teaching Assistant Award.</li>
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<div class="section_block" id="pub_block">
<div class="section_title" id="pub">
<h2>Publications</h2>
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<div class="section_content" id="pub_content">
<div class="section_subtitle" id="preprints">
<h3>Preprints</h3>
</div>
<ul>
<li><span class="bold">Kuo-Wei Lai</span> and Vidya Muthukumar: General loss functions lead to (approximate) interpolation in high dimensions. arXiv preprint <a href="https://arxiv.org/abs/2303.07475">[link]</a>.</li>
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<div class="section_subtitle" id="conference">
<h3>Conference Papers</h3>
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<ul>
<li><span class="bold">Kuo-Wei Lai</span> and Vidya Muthukumar: Sharp analysis of out-of-distribution error for "importance-weighted" estimators in the overparameterized regime. ISIT 2024 <a href="https://arxiv.org/abs/2405.06546">[link]</a>.</li>
<li><span class="bold">Kuo-Wei Lai</span>, Manisha Aggarwal, Peter van Zijl, Xu Li and Jeremias Sulam: Learned proximal networks for quantitative susceptibility mapping. MICCAI 2020 <a href="https://doi.org/10.1007/978-3-030-59713-9_13">[link]</a> <a href="https://github.com/Sulam-Group/LPCNN">[github]</a>.</li>
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<div class="section_subtitle" id="journal">
<h3>Journal Articles</h3>
</div>
<ul>
<li>Zhenghan Fang, <span class="bold">Kuo-Wei Lai</span>, Peter van Zijl., Xu Li and Jeremias Sulam: DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging. Medical image analysis <a href="https://doi.org/10.1016/j.media.2023.102829">[link]</a>.</li>
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