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<title>About · Yinghuan Li</title>
<meta name="description" content="I am a PhD student at The Hong Kong Polytechnic University, focusing on distributed acoustic sensing (DAS) and its applications in traffic and maritime monitoring. My research integrates signal processing and machine learning to transform existing fiber-optic infrastructure into scalable sensing networks for continuous monitoring of real-world activities. My earlier work explored perimeter security and intrusion recognition.">
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<h2>Yinghuan Li</h2>
<p class="author-role">Ph.D. student in Fiber-Optic Sensing · The Hong Kong Polytechnic University</p>
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<main id="main"><h1>About me</h1>
<div class="about-copy">
<p>I am a PhD student at The Hong Kong Polytechnic University, focusing on <strong>distributed acoustic sensing (DAS)</strong> and its applications in <strong>traffic and maritime monitoring</strong>. My research integrates signal processing and machine learning to transform existing fiber-optic infrastructure into scalable sensing networks for continuous monitoring of real-world activities. My earlier work explored perimeter security and intrusion recognition.</p>
<p><a href="/cv/">View my CV</a>.</p>
</div>
<div class="section-heading"><h2>Recent research</h2><a href="/publications/">All publications <span aria-hidden="true">→</span></a></div>
<div class="research-list">
<article class="project-row research-row">
<figure class="research-visual">
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<g fill="#e0e7ec" stroke="#b8c6d0" stroke-width="1.5"><rect x="24" y="28" width="50" height="35"/><rect x="112" y="28" width="62" height="35"/><rect x="214" y="28" width="60" height="35"/><rect x="24" y="110" width="50" height="40"/><rect x="112" y="110" width="62" height="40"/><rect x="214" y="110" width="60" height="40"/></g>
<path d="M12 88H288M93 15V162M194 15V162" stroke="#c9d4dc" stroke-width="12"/><path d="M12 88H194V162" stroke="#2885a5" stroke-width="3" fill="none"/>
<g fill="#2885a5"><circle cx="46" cy="88" r="5"/><circle cx="140" cy="88" r="5"/><circle cx="194" cy="132" r="5"/></g><g fill="#d38c4a"><rect x="120" y="76" width="19" height="8" rx="3"/><rect x="228" y="93" width="19" height="8" rx="3"/></g>
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</figure>
<div class="project-copy research-citation"><h3><a href="https://doi.org/10.1109/JSEN.2026.3744392">Label-Efficient Urban Traffic Monitoring Using Dark-Fiber Distributed Acoustic Sensing</a></h3><p class="research-venue">IEEE Sensors Journal, 2026. <span class="badge">Accepted for publication</span></p><p class="research-authors">Jingming Zhang, <strong>Yinghuan Li</strong>, et al.</p></div>
</article>
<article class="project-row research-row">
<figure class="research-visual">
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<g fill="#617783" font-size="10" font-family="Arial,sans-serif"><text x="111" y="168">Fiber position</text><text x="10" y="98" transform="rotate(-90 10 98)">Time</text></g>
</svg>
</figure>
<div class="project-copy research-citation"><h3><a href="https://doi.org/10.1364/OFC.2026.M3M.1">Dataset for Traffic Monitoring Using Distributed Acoustic Sensing in Busy Traffic Environments</a></h3><p class="research-venue">Optical Fiber Communication Conference (OFC), 2026, paper M3M.1. <span class="badge">Oral</span></p><p class="research-authors"><strong>Yinghuan Li</strong>, Jingming Zhang, Changyuan Yu, Jipeng Liu, Yaxi Yan, and Alan Pak Tao Lau.</p></div>
</article>
<article class="project-row research-row">
<figure class="research-visual">
<svg viewBox="0 0 300 180" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false">
<rect width="300" height="180" rx="3" fill="#f6f8fa"/>
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<g fill="#617783" font-family="Arial,sans-serif" font-size="11"><text x="88" y="48">Metropolitan traffic</text><text x="108" y="162">Optical fiber</text></g>
</svg>
</figure>
<div class="project-copy research-citation"><h3><a href="https://doi.org/10.1109/JLT.2025.3642924">Traffic Monitoring Using Optical Fiber Distributed Acoustic Sensing for Metropolitan Environments</a></h3><p class="research-venue">Journal of Lightwave Technology, vol. 44, no. 3, pp. 913–929, 2026. <span class="badge">Invited</span></p><p class="research-authors"><strong>Yinghuan Li</strong>, Jingming Zhang, Yaxi Yan, and Alan Pak Tao Lau.</p></div>
</article>
<article class="project-row research-row">
<figure class="research-visual">
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<rect width="300" height="180" rx="3" fill="#f6f8fa"/>
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<g fill="#3285a3"><circle cx="106" cy="56" r="6"/><circle cx="106" cy="90" r="6"/><circle cx="106" cy="124" r="6"/><circle cx="150" cy="44" r="6"/><circle cx="150" cy="90" r="6"/><circle cx="150" cy="136" r="6"/><circle cx="194" cy="56" r="6"/><circle cx="194" cy="90" r="6"/><circle cx="194" cy="124" r="6"/></g>
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<text x="92" y="164" fill="#617783" font-family="Arial,sans-serif" font-size="11">Spatial reconstruction</text>
</svg>
</figure>
<div class="project-copy research-citation"><h3><a href="https://doi.org/10.1364/OFC.2025.Th1I.6">Distributed Acoustic Sensing with Super Spatial-Resolution Based on Deconvolutional Neural Network</a></h3><p class="research-venue">Optical Fiber Communication Conference (OFC), 2025, paper Th1I.6. <span class="badge">Oral</span></p><p class="research-authors">Jingming Zhang, Yaxi Yan, <strong>Yinghuan Li</strong>, Alan Pak Tao Lau, Liyang Shao, and Changyuan Yu.</p></div>
</article>
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