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</div>
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</div>
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<nav class="navbar navbar-expand">
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<ul class="navbar-nav d-flex justify-content-evenly mx-auto gap-5">
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<li class="nav-item">
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<a class="link nav-link px-0" href="/#publications"><i class="bi bi-book d-inline d-md-none d-lg-inline"></i> <span class="d-none d-md-inline">Publications</span></a>
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</li>
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<li class="nav-item">
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<a class="link nav-link px-0" href="/#projects"><i class="bi bi-code-slash d-inline d-md-none d-lg-inline"></i> <span class="d-none d-md-inline">Projects</span></a>
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</li>
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<li class="nav-item">
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<a class="link nav-link px-0" href="/#presentations"><i class="bi bi-easel d-inline d-md-none d-lg-inline"></i> <span class="d-none d-md-inline">Presentations</span></a>
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</li>
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<li class="nav-item">
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<a class="link nav-link px-0" href="/#services"><i class="bi bi-person-lines-fill d-inline d-md-none d-lg-inline"></i> <span class="d-none d-md-inline">Services</span></a>
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</li>
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<li class="nav-item">
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<a class="link nav-link px-0" href="/#blog"><i class="bi bi-newspaper d-inline d-md-none d-lg-inline"></i> <span class="d-none d-md-inline">Blog</span></a>
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</li>
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</ul>
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<nav class="navbar navbar-expand">
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<ul class="navbar-nav d-flex justify-content-evenly mx-auto gap-5">
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<li class="nav-item">
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<a class="link nav-link px-0" href="/#publications"
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><i class="bi bi-book d-inline d-md-none d-lg-inline"></i>
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<span class="d-none d-md-inline">Publications</span></a
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>
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</li>
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<li class="nav-item">
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<a class="link nav-link px-0" href="/#projects"
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><i class="bi bi-code-slash d-inline d-md-none d-lg-inline"></i>
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<span class="d-none d-md-inline">Projects</span></a
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>
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</li>
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<li class="nav-item">
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<a class="link nav-link px-0" href="/#presentations"
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><i class="bi bi-easel d-inline d-md-none d-lg-inline"></i>
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<span class="d-none d-md-inline">Presentations</span></a
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>
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</li>
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<li class="nav-item">
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<a class="link nav-link px-0" href="/#services"
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><i
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class="bi bi-person-lines-fill d-inline d-md-none d-lg-inline"
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></i>
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<span class="d-none d-md-inline">Services</span></a
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>
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</li>
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<li class="nav-item">
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<a class="link nav-link px-0" href="https://blog.yanlincs.com"
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><i class="bi bi-newspaper d-inline d-md-none d-lg-inline"></i>
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<span class="d-none d-md-inline">Blog</span></a
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>
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</li>
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</ul>
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</nav>
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</header>
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<div class="row g-0 border rounded text-body-emphasis bg-body-secondary flex-md-row my-4 position-relative shadow-sm transition-shadow" style="transition: box-shadow 0.2s ease-in-out;" onmouseover="this.classList.remove('shadow-sm'); this.classList.add('shadow')" onmouseout="this.classList.remove('shadow'); this.classList.add('shadow-sm')">
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<div
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class="row g-0 border rounded text-body-emphasis bg-body-secondary flex-md-row my-4 position-relative shadow-sm transition-shadow"
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style="transition: box-shadow 0.2s ease-in-out"
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onmouseover="this.classList.remove('shadow-sm'); this.classList.add('shadow')"
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onmouseout="this.classList.remove('shadow'); this.classList.add('shadow-sm')"
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>
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<div class="col p-4 d-flex flex-column position-static">
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<h2 class="fst-italic mb-3">Biography - Yan Lin</h2>
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<p class="card-text mb-auto" style="font-size: 1.1rem;">
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I am currently a postdoctoral researcher in the Department of Computer Science at Aalborg University.
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I received my PhD and Bachelor's degrees from Beijing Jiaotong University, China.
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My research interests include <i>spatiotemporal data mining</i>, <i>representation learning</i>, and <i>AI for science</i>.
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</p>
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<h2 class="fst-italic mb-3">Biography - Yan Lin</h2>
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<p class="card-text mb-auto" style="font-size: 1.1rem">
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I am currently a postdoctoral researcher in the Department of
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Computer Science at Aalborg University. I received my PhD and
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Bachelor's degrees from Beijing Jiaotong University, China. My
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research interests include <i>spatiotemporal data mining</i>,
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<i>representation learning</i>, and <i>AI for science</i>.
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</p>
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</div>
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<div class="col-5 col-xl-4 col-xxl-3 d-none d-lg-block d-flex align-items-center">
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<img src="/profile.webp" alt="Yan Lin" class="rounded w-100" style="object-fit: contain;">
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<div
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class="col-5 col-xl-4 col-xxl-3 d-none d-lg-block d-flex align-items-center"
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>
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<img
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src="/profile.webp"
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alt="Yan Lin"
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class="rounded w-100"
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style="object-fit: contain"
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/>
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</div>
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</div>
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</div>
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<article class="section" id="publications">
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<article class="section" id="publications">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<h2 class="section-title d-inline-block mb-0"><i class="bi bi-book"></i> Publications</h2>
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<a class="mb-0 link link-secondary link-underline-opacity-0 h5" href="/publications/">View All <i class="bi bi-arrow-right-circle"></i></a>
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<h2 class="section-title d-inline-block mb-0">
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<i class="bi bi-book"></i> Publications
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</h2>
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<a
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class="mb-0 link link-secondary link-underline-opacity-0 h5"
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href="/publications/"
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>View All <i class="bi bi-arrow-right-circle"></i
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></a>
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</div>
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<div>
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<div id="primary-publications" class="list-group list-group-flush">
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<div class="list-group-item px-0">
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<div id="primary-publications" class="list-group list-group-flush">
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<div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name primary-text">
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IEEE TKDE<span class='text-muted'> | </span>2025
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</p>
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<div class="d-flex gap-2">
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<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://ieeexplore.ieee.org/document/11004614" target="_blank" rel="noopener noreferrer">Paper</a>
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<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://arxiv.org/abs/2402.07232" target="_blank" rel="noopener noreferrer">Preprint</a>
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<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://github.com/Logan-Lin/UVTM" target="_blank" rel="noopener noreferrer">Code</a>
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@ -98,11 +133,7 @@
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</div>
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<h5 class="mb-1 paper-title">UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation</h5>
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<p class="card-text mb-auto author-name"><strong>Yan Lin</strong>, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan</p>
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</div>
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<div class="list-group-item px-0">
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</div> <div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name primary-text">
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IJCAI<span class='text-muted'> | </span>2025
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@ -117,11 +148,7 @@
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</div>
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<h5 class="mb-1 paper-title">TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories</h5>
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<p class="card-text mb-auto author-name">Zeyu Zhou*, <strong>Yan Lin*</strong>, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan</p>
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</div>
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<div class="list-group-item px-0">
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</div> <div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name primary-text">
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IEEE TKDE<span class='text-muted'> | </span>2025
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@ -138,11 +165,7 @@
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</div>
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<h5 class="mb-1 paper-title">UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings</h5>
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<p class="card-text mb-auto author-name"><strong>Yan Lin</strong>, Zeyu Zhou, Yicheng Liu, Haochen Lv, Haomin Wen, Tianyi Li, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan</p>
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</div>
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<div class="list-group-item px-0">
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</div> <div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name primary-text">
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WWW<span class='text-muted'> | </span>2025
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@ -157,11 +180,7 @@
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</div>
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<h5 class="mb-1 paper-title">Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models</h5>
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<p class="card-text mb-auto author-name">Yongfu Wei*, <strong>Yan Lin*</strong>, Hongfan Gao, Ronghui Xu, Sean Bin Yang, Jilin Hu</p>
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</div>
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<div class="list-group-item px-0">
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</div> <div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name primary-text">
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AAAI<span class='text-muted'> | </span>2025
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@ -174,11 +193,7 @@
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</div>
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<h5 class="mb-1 paper-title">DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation</h5>
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<p class="card-text mb-auto author-name">Xiaowei Mao*, <strong>Yan Lin*</strong>, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen, Qisen Xu, Youfang Lin, Huaiyu Wan</p>
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</div>
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<div class="list-group-item px-0">
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</div> <div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name primary-text">
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NeurIPS<span class='text-muted'> | </span>2024
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@ -193,11 +208,7 @@
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</div>
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<h5 class="mb-1 paper-title">Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models</h5>
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<p class="card-text mb-auto author-name">Letian Gong*, <strong>Yan Lin*</strong>, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan</p>
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</div>
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<div class="list-group-item px-0">
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</div> <div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name primary-text">
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SIGMOD<span class='text-muted'> | </span>2024
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@ -214,11 +225,7 @@
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</div>
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<h5 class="mb-1 paper-title">Origin-Destination Travel Time Oracle for Map-based Services</h5>
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<p class="card-text mb-auto author-name"><strong>Yan Lin</strong>, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin</p>
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</div>
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<div class="list-group-item px-0">
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</div> <div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name primary-text">
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IEEE TKDE<span class='text-muted'> | </span>2023
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@ -235,11 +242,7 @@
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</div>
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<h5 class="mb-1 paper-title">Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding</h5>
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<p class="card-text mb-auto author-name"><strong>Yan Lin</strong>, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin</p>
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</div>
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<div class="list-group-item px-0">
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</div> <div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name primary-text">
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IEEE TKDE<span class='text-muted'> | </span>2022
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@ -254,11 +257,7 @@
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</div>
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<h5 class="mb-1 paper-title">Pre-training Time-aware location embeddings from spatial-temporal trajectories</h5>
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<p class="card-text mb-auto author-name">Huaiyu Wan, <strong>Yan Lin</strong>, Shengnan Guo, Youfang Lin</p>
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</div>
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<div class="list-group-item px-0">
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</div> <div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name primary-text">
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AAAI<span class='text-muted'> | </span>2021
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@ -273,15 +272,11 @@
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</div>
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<h5 class="mb-1 paper-title">Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction</h5>
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<p class="card-text mb-auto author-name"><strong>Yan Lin</strong>, Huaiyu Wan, Shengnan Guo, Youfang Lin</p>
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</div>
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</div>
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<hr class="my-2">
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<div id="secondary-publications" class="list-group list-group-flush">
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<div class="list-group-item px-0">
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</div>
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</div>
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<hr class="my-2" />
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<div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name secondary-text">
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KDD<span class='text-muted'> | </span>2025
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</div>
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<h5 class="mb-1 paper-title">DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting</h5>
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<p class="card-text mb-auto author-name">Xiangfei Qiu, Xingjian Wu, <strong>Yan Lin</strong>, Chenjuan Guo, Jilin Hu, Bin Yang</p>
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</div>
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<div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name secondary-text">
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IEEE TKDE<span class='text-muted'> | </span>2024
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@ -317,11 +308,7 @@
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</div>
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<h5 class="mb-1 paper-title">Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation</h5>
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<p class="card-text mb-auto author-name">Tonglong Wei, Youfang Lin, Shengnan Guo, <strong>Yan Lin</strong>, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Menglu Ya, Huaiyu Wan</p>
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</div>
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<div class="list-group-item px-0">
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</div> <div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name secondary-text">
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IEEE TKDE<span class='text-muted'> | </span>2024
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</div>
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<h5 class="mb-1 paper-title">STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation</h5>
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<p class="card-text mb-auto author-name">Letian Gong, Shengnan Guo, <strong>Yan Lin</strong>, Yichen Liu, Erwen Zheng, Yiwei Shuang, Youfang Lin, Jilin Hu, Huaiyu Wan</p>
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</div>
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<div class="list-group-item px-0">
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<p class="d-inline-block mb-0 venue-name secondary-text">
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IEEE TKDE<span class='text-muted'> | </span>2024
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@ -355,11 +338,7 @@
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</div>
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<h5 class="mb-1 paper-title">Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery</h5>
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<p class="card-text mb-auto author-name">Tonglong Wei, Youfang Lin, <strong>Yan Lin</strong>, Shengnan Guo, Lan Zhang, Huaiyu Wan</p>
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</div>
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<div class="list-group-item px-0">
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</div> <div class="list-group-item px-0">
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<div class="d-flex justify-content-between align-items-center mb-1">
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<p class="d-inline-block mb-0 venue-name secondary-text">
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KBS<span class='text-muted'> | </span>2024
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</div>
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<h5 class="mb-1 paper-title">Inductive and Adaptive Graph Convolution Networks Equipped with Constraint Task for Spatial-Temporal Traffic Data Kriging</h5>
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<p class="card-text mb-auto author-name">Tonglong Wei, Youfang Lin, Shengnan Guo, <strong>Yan Lin</strong>, Yiji Zhao, Xiyuan Jin, Zhihao Wu, Huaiyu Wan</p>
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</div>
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<p class="d-inline-block mb-0 venue-name secondary-text">
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IEEE TKDE<span class='text-muted'> | </span>2024
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</div>
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<h5 class="mb-1 paper-title">Spatial-Temporal Cross-View Contrastive Pre-Training for Check-in Sequence Representation Learning</h5>
|
||||
<p class="card-text mb-auto author-name">Letian Gong, Huaiyu Wan, Shengnan Guo, Li Xiucheng, <strong>Yan Lin</strong>, Erwen Zheng, Tianyi Wang, Zeyu Zhou, Youfang Lin</p>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name secondary-text">
|
||||
AAAI<span class='text-muted'> | </span>2023
|
||||
|
|
@ -410,11 +381,7 @@
|
|||
</div>
|
||||
<h5 class="mb-1 paper-title">Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning</h5>
|
||||
<p class="card-text mb-auto author-name">Letian Gong, Youfang Lin, Shengnan Guo, <strong>Yan Lin</strong>, Tianyi Wang, Erwen Zheng, Zeyu Zhou, Huaiyu Wan</p>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name secondary-text">
|
||||
ESWA<span class='text-muted'> | </span>2023
|
||||
|
|
@ -427,11 +394,7 @@
|
|||
</div>
|
||||
<h5 class="mb-1 paper-title">Adversarial Self-Attentive Time-Variant Neural Networks for Multi-Step Time Series Forecasting</h5>
|
||||
<p class="card-text mb-auto author-name">Changxia Gao, Ning Zhang, Youru Li, <strong>Yan Lin</strong>, Huaiyu Wan</p>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name secondary-text">
|
||||
APIN<span class='text-muted'> | </span>2023
|
||||
|
|
@ -444,11 +407,7 @@
|
|||
</div>
|
||||
<h5 class="mb-1 paper-title">Multi-scale Adaptive Attention-based Time-Variant Neural Networks for Multi-step Time Series Forecasting</h5>
|
||||
<p class="card-text mb-auto author-name">Changxia Gao, Ning Zhang, Youru Li, <strong>Yan Lin</strong>, Huaiyu Wan</p>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name secondary-text">
|
||||
NeurIPS<span class='text-muted'> | </span>2023
|
||||
|
|
@ -463,26 +422,30 @@
|
|||
</div>
|
||||
<h5 class="mb-1 paper-title">WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting</h5>
|
||||
<p class="card-text mb-auto author-name">Yuxin Jia, Youfang Lin, Xinyan Hao, <strong>Yan Lin</strong>, Shengnan Guo, Huaiyu Wan</p>
|
||||
</div>
|
||||
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="text-start mt-1">
|
||||
<small class="text-muted" style="font-size: 0.8rem;">* Equal Contribution</small>
|
||||
<small class="text-muted" style="font-size: 0.8rem"
|
||||
>* Equal Contribution</small
|
||||
>
|
||||
</div>
|
||||
</article>
|
||||
</article>
|
||||
|
||||
<article class="section" id="projects">
|
||||
<article class="section" id="projects">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<h2 class="section-title d-inline-block mb-0"><i class="bi bi-code-slash"></i> Projects</h2>
|
||||
<a class="mb-0 link link-secondary link-underline-opacity-0 h5" href="/projects/">View All <i class="bi bi-arrow-right-circle"></i></a>
|
||||
<h2 class="section-title d-inline-block mb-0">
|
||||
<i class="bi bi-code-slash"></i> Projects
|
||||
</h2>
|
||||
<a
|
||||
class="mb-0 link link-secondary link-underline-opacity-0 h5"
|
||||
href="/projects/"
|
||||
>View All <i class="bi bi-arrow-right-circle"></i
|
||||
></a>
|
||||
</div>
|
||||
<div>
|
||||
<div id="primary-projects" class="list-group list-group-flush">
|
||||
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
<div id="primary-projects" class="list-group list-group-flush">
|
||||
<div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name primary-text">
|
||||
Fundamental Research Funds for the Central Universities of China
|
||||
|
|
@ -493,11 +456,7 @@
|
|||
</div>
|
||||
<h5 class="mb-1 paper-title">Research on <i>Prediction of User Travel Destination and Travel Time Based on Trajectory Representation Learning</i></h5>
|
||||
<p class="card-text mb-auto project-desc">Applies representation learning to trajectory data to transform original features into high-level information, improving the performance of downstream tasks such as travel time and destination prediction.</p>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name primary-text">
|
||||
Personal Interest Project
|
||||
|
|
@ -512,11 +471,7 @@
|
|||
</div>
|
||||
<h5 class="mb-1 paper-title">Development of <i>OverleafCopilot - Empowering Academic Writing in Overleaf with Large Language Models</i></h5>
|
||||
<p class="card-text mb-auto project-desc">This project aims to develop a Browser extension to seamlessly integrate Large Language Models (such as ChatGPT) into the popular online academic writing platform, Overleaf.</p>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name primary-text">
|
||||
Personal Interest Project
|
||||
|
|
@ -531,15 +486,11 @@
|
|||
</div>
|
||||
<h5 class="mb-1 paper-title">Development of <i>PromptGenius - All-purpose prompts for LLMs</i></h5>
|
||||
<p class="card-text mb-auto project-desc">This project focuses on developing a website that offers a wide range of prompt categories, enhancing the versatility of LLMs for various tasks and improving their output quality.</p>
|
||||
</div>
|
||||
|
||||
|
||||
</div>
|
||||
<hr class="my-2">
|
||||
<div id="secondary-projects" class="list-group list-group-flush">
|
||||
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div>
|
||||
</div>
|
||||
<hr class="my-2" />
|
||||
<div id="secondary-projects" class="list-group list-group-flush">
|
||||
<div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name secondary-text">
|
||||
Villum Foundation
|
||||
|
|
@ -550,11 +501,7 @@
|
|||
</div>
|
||||
<h5 class="mb-1 paper-title">Research on <i>Inverse Design of Materials Using Diffusion Probabilistic Models</i></h5>
|
||||
<p class="card-text mb-auto project-desc">This project focuses on developing diffusion probabilistic models to first understand the relationship between chemistry/structure and material properties, then enable the inverse design of new materials with specific properties. This project currently supports my postdoctoral research position.</p>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name secondary-text">
|
||||
National Natural Science Foundation of China
|
||||
|
|
@ -565,11 +512,7 @@
|
|||
</div>
|
||||
<h5 class="mb-1 paper-title">Research on <i>Pre-training Representation Learning Methods of Spatial-temporal Trajectory Data for Traffic Prediction</i></h5>
|
||||
<p class="card-text mb-auto project-desc">This project aims to propose pre-training representation learning methods for spatial-temporal trajectory data, modeling multiple features to improve traffic prediction tasks. It demonstrates how trajectory representation learning can enhance traffic data mining.</p>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name secondary-text">
|
||||
National Natural Science Foundation of China
|
||||
|
|
@ -580,21 +523,24 @@
|
|||
</div>
|
||||
<h5 class="mb-1 paper-title">Research on <i>Spatial-temporal Trajectory Generation and Representation Learning Methods for Sparsity Problems</i></h5>
|
||||
<p class="card-text mb-auto project-desc">This project explores how to generate high-quality spatial-temporal trajectory data and corresponding representations to address sparsity-related issues, thereby supporting a variety of downstream tasks.</p>
|
||||
</div>
|
||||
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</article>
|
||||
</article>
|
||||
|
||||
<article class="section" id="presentations">
|
||||
<article class="section" id="presentations">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<h2 class="section-title d-inline-block mb-0"><i class="bi bi-easel"></i> Presentations</h2>
|
||||
<a class="mb-0 link link-secondary link-underline-opacity-0 h5" href="/presentations/">View All <i class="bi bi-arrow-right-circle"></i></a>
|
||||
<h2 class="section-title d-inline-block mb-0">
|
||||
<i class="bi bi-easel"></i> Presentations
|
||||
</h2>
|
||||
<a
|
||||
class="mb-0 link link-secondary link-underline-opacity-0 h5"
|
||||
href="/presentations/"
|
||||
>View All <i class="bi bi-arrow-right-circle"></i
|
||||
></a>
|
||||
</div>
|
||||
<div class="list-group list-group-flush" id="presentation-list">
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
<div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name primary-text">
|
||||
Guest lecture<span class='text-muted'> | </span>Aalborg University
|
||||
|
|
@ -606,9 +552,7 @@
|
|||
</div>
|
||||
</div>
|
||||
<h5 class="mb-1 paper-title">Self-supervised Learning of Trajectory Data</h5>
|
||||
</div>
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name primary-text">
|
||||
Workshop presentation<span class='text-muted'> | </span>KDD 2024
|
||||
|
|
@ -622,9 +566,7 @@
|
|||
</div>
|
||||
</div>
|
||||
<h5 class="mb-1 paper-title">PLM4Traj: Leveraging Pre-trained Language Models for Cognizing Movement Patterns and Travel Purposes from Trajectories</h5>
|
||||
</div>
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name primary-text">
|
||||
Paper Oral<span class='text-muted'> | </span>SIGMOD 2024
|
||||
|
|
@ -636,9 +578,7 @@
|
|||
</div>
|
||||
</div>
|
||||
<h5 class="mb-1 paper-title">Origin-Destination Travel Time Oracle for Map-based Services</h5>
|
||||
</div>
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name primary-text">
|
||||
Tutorial<span class='text-muted'> | </span>SpatialDI 2024
|
||||
|
|
@ -650,9 +590,7 @@
|
|||
</div>
|
||||
</div>
|
||||
<h5 class="mb-1 paper-title">Self-supervised Learning of Spatial-temporal Trajectories</h5>
|
||||
</div>
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
</div> <div class="list-group-item px-0">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<p class="d-inline-block mb-0 venue-name primary-text">
|
||||
Paper Oral<span class='text-muted'> | </span>AAAI 2021
|
||||
|
|
@ -664,51 +602,33 @@
|
|||
</div>
|
||||
</div>
|
||||
<h5 class="mb-1 paper-title">Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction</h5>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</article>
|
||||
</article>
|
||||
|
||||
<article id="services" class="rounded text-body-emphasis bg-body-secondary flex-md-row my-4 position-relative p-4 transition-shadow" style="transition: box-shadow 0.2s ease-in-out;" onmouseover="this.classList.add('shadow-sm')" onmouseout="this.classList.remove('shadow-sm')">
|
||||
<article
|
||||
id="services"
|
||||
class="rounded text-body-emphasis bg-body-secondary flex-md-row my-4 position-relative p-4 transition-shadow"
|
||||
style="transition: box-shadow 0.2s ease-in-out"
|
||||
onmouseover="this.classList.add('shadow-sm')"
|
||||
onmouseout="this.classList.remove('shadow-sm')"
|
||||
>
|
||||
<h2 class="mb-3"><i class="bi bi-person-lines-fill"></i> Services</h2>
|
||||
<div id="service-list">
|
||||
<ul class="list ps-3">
|
||||
|
||||
<li>IEEE, ACM member</li>
|
||||
|
||||
<li>Secretary of IEEE (Denmark Section) Computer Society</li>
|
||||
|
||||
<li>Reviewer for journals including TIST, TII, and TVT</li>
|
||||
|
||||
<li>Member of program committees of KDD, ICLR, NeurIPS, AAAI, CVPR, ICCV, IJCAI, and WWW</li>
|
||||
|
||||
</ul>
|
||||
<ul class="list ps-3">
|
||||
|
||||
<li>IEEE, ACM member</li>
|
||||
|
||||
<li>Secretary of IEEE (Denmark Section) Computer Society</li>
|
||||
|
||||
<li>Reviewer for journals including TIST, TII, and TVT</li>
|
||||
|
||||
<li>Member of program committees of KDD, ICLR, NeurIPS, AAAI, CVPR, ICCV, IJCAI, and WWW</li>
|
||||
|
||||
</ul>
|
||||
</div>
|
||||
</article>
|
||||
</article>
|
||||
|
||||
<article class="section" id="blog">
|
||||
<div class="d-flex justify-content-between align-items-center mb-1">
|
||||
<h2 class="section-title d-inline-block mb-0"><i class="bi bi-newspaper"></i> Blog</h2>
|
||||
<a class="mb-0 link link-secondary link-underline-opacity-0 h5" href="/blog/">View All <i class="bi bi-arrow-right-circle"></i></a>
|
||||
</div>
|
||||
<div class="list-group list-group-flush" id="blog-list">
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
<a class="mb-1 paper-title blog-link text-decoration-none" href="/blog/html/one-step-diffusion-models.html">
|
||||
One Step Diffusion Models <i class="bi bi-arrow-right-circle"></i>
|
||||
</a> <span class="paper-title text-muted ms-2">May 2025</span>
|
||||
<p class="card-text mb-auto tldr">Despite the promising performance of diffusion models on continuous modality generation, one deficiency that is holding them back is their requirement for multi-step denoising processes, which can be computationally expensive. In this article, we examine recent works that aim to build diffusion models capable of performing sampling in one or a few steps.</p>
|
||||
</div>
|
||||
|
||||
<div class="list-group-item px-0">
|
||||
<a class="mb-1 paper-title blog-link text-decoration-none" href="/blog/html/multi-modal-transformer.html">
|
||||
Multi-modal and Multi-function Transformers <i class="bi bi-arrow-right-circle"></i>
|
||||
</a> <span class="paper-title text-muted ms-2">April 2025</span>
|
||||
<p class="card-text mb-auto tldr">Multi-modal and multi-function Transformers enables a single architecture to process diverse data types such as language, images, and videos simultaneously. These models employ techniques like vector quantization and lookup-free quantization to map different modalities into a unified embedding space, allowing the Transformer to handle them within the same sequence. Beyond processing multiple data types, these architectures can also combine different functionalities-such as auto-regressive language generation and diffusion-based image creation-within a single model.</p>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
</article>
|
||||
|
||||
</main>
|
||||
|
||||
|
|
@ -720,15 +640,14 @@
|
|||
<span class="mx-1">|</span>
|
||||
Designed and implemented by Yan Lin.
|
||||
<span class="mx-1">|</span>
|
||||
<a class="link link-secondary" target="_blank" href="https://git.yanlincs.com/yanlin/Homepage">Source Code</a>
|
||||
<a class="link link-secondary" target="_blank" href="https://github.com/Logan-Lin/Homepage">Source Code</a>
|
||||
</p>
|
||||
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<button id="back-to-top" class="btn btn-light rounded-circle" style="position: fixed; bottom: 20px; right: 20px; display: none; z-index: 1000; width: 40px; height: 40px; padding: 0;"><i class="bi bi-chevron-up"></i></button>
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