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678 lines
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36 KiB
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<a class="link-secondary header-icon mx-2 py-0 my-0 h4 d-flex align-items-center" href="mailto:s@yanlincs.com" aria-label="Send email to Yan Lin">
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<div class="page-header-logo h2 m-0" style="font-family: Impact, 'Arial Black', 'Franklin Gothic Bold', sans-serif;">Yan Lin's Homepage</div>
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<a class="link-secondary header-icon mx-2 py-0 my-0 h4 d-flex align-items-center" href="https://github.com/Logan-Lin" target="_blank" aria-label="Visit Yan Lin's GitHub profile (opens in new tab)">
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<span class="d-inline d-md-none">Pubs</span>
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<span class="d-none d-md-inline">Publications</span>
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<span class="d-inline d-md-none">Work</span>
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<span class="d-none d-md-inline">Projects</span>
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<a class="link nav-link px-0" href="/presentations/">
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<span class="d-inline d-md-none">Talks</span>
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<span class="d-none d-md-inline">Presentations</span>
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<span class="d-inline d-md-none">Blog</span>
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<span class="d-none d-md-inline">Blog</span>
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>
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<div class="col p-4 d-flex flex-column position-static">
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<h3 class="fst-italic mb-3">Biography - Yan Lin</h3>
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<p class="card-text mb-auto" style="font-size: calc(1.0rem + 0.1vw)">
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I am currently a postdoctoral researcher in the Department of
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Computer Science at Aalborg University, Denmark. 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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class="col-5 col-xl-4 col-xxl-3 d-none d-lg-block d-flex align-items-center"
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src="/profile.webp"
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class="rounded w-100"
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style="object-fit: contain"
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/>
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<article class="section" id="publications">
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<div class="d-flex align-items-center mb-1">
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<h3 class="section-title d-inline-block mb-0">
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<i class="bi bi-book"></i> Publications
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</h3>
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<div class="flex-grow-1 mx-3" style="border-bottom: 1px dashed var(--border-color); height: 1px;"></div>
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<a class="mb-0 link link-secondary link-underline-opacity-0 h5" href="/publications/">
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View All
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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 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>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://neurips.cc/virtual/2025/poster/115959" target="_blank" rel="noopener noreferrer">Poster</a>
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</div>
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</div>
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<h5 class="mb-1 paper-title">TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model</h5>
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<p class="card-text mb-auto author-name">Yichen Liu*, <strong>Yan Lin*</strong>, Shengnan Guo, Zeyu Zhou, Youfang Lin, Huaiyu Wan</p>
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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>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://neurips.cc/virtual/2025/oral/117509" target="_blank" rel="noopener noreferrer">Oral</a>
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<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://neurips.cc/virtual/2025/poster/117508" target="_blank" rel="noopener noreferrer">Poster</a>
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<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://arxiv.org/abs/2505.12672" target="_blank" rel="noopener noreferrer">Preprint</a>
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</div>
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</div>
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<h5 class="mb-1 paper-title">TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability</h5>
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<p class="card-text mb-auto author-name">Tonglong Wei*, <strong>Yan Lin*</strong>, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan</p>
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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>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://neurips.cc/virtual/2025/poster/117945" target="_blank" rel="noopener noreferrer">Poster</a>
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<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://arxiv.org/abs/2410.14281" target="_blank" rel="noopener noreferrer">Preprint</a>
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</div>
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</div>
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<h5 class="mb-1 paper-title">PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models</h5>
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<p class="card-text mb-auto author-name">Tonglong Wei*, <strong>Yan Lin*</strong>, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, Huaiyu Wan</p>
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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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</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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</div>
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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> <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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</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://arxiv.org/abs/2405.12459" 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/Zeru19/PLM4Traj" target="_blank" rel="noopener noreferrer">Code</a>
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</div>
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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> <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/10818577" 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/2407.12550" 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/UniTE" target="_blank" rel="noopener noreferrer">Code</a>
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</div>
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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> <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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</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://openreview.net/forum?id=KmMSQS6tFn" 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://github.com/decisionintelligence/Path-LLM" target="_blank" rel="noopener noreferrer">Code</a>
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</div>
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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> <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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</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://ojs.aaai.org/index.php/AAAI/article/view/33350" 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/2408.12809" target="_blank" rel="noopener noreferrer">Preprint</a>
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</div>
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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> <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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</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://openreview.net/forum?id=0feJEykDRx" 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://neurips.cc/virtual/2024/poster/96914" target="_blank" rel="noopener noreferrer">Poster</a>
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</div>
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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> <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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</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://dl.acm.org/doi/10.1145/3617337" 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/2307.03048" 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/DOT" target="_blank" rel="noopener noreferrer">Code</a>
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</div>
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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>
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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 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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</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://dl.acm.org/doi/10.1145/3690624.3709325" 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/2412.10859" 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/decisionintelligence/DUET" target="_blank" rel="noopener noreferrer">Code</a>
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</div>
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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> <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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</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://www.computer.org/csdl/journal/tk/5555/01/10679607/20b3hlbjBOo" 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/2402.07369" target="_blank" rel="noopener noreferrer">Preprint</a>
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://github.com/wtl52656/Diff-RNTraj" target="_blank" rel="noopener noreferrer">Code</a>
|
|
|
|
</div>
|
|
</div>
|
|
<h5 class="mb-1 paper-title">Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation</h5>
|
|
<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>
|
|
</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">
|
|
IEEE TKDE<span class='text-muted'> | </span>2024
|
|
</p>
|
|
<div class="d-flex gap-2">
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://ieeexplore.ieee.org/document/10836764" target="_blank" rel="noopener noreferrer">Paper</a>
|
|
|
|
</div>
|
|
</div>
|
|
<h5 class="mb-1 paper-title">STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation</h5>
|
|
<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>
|
|
</div> <div class="list-group-item px-0">
|
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<div class="d-flex justify-content-between align-items-center mb-1">
|
|
<p class="d-inline-block mb-0 venue-name secondary-text">
|
|
IEEE TKDE<span class='text-muted'> | </span>2024
|
|
</p>
|
|
<div class="d-flex gap-2">
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://www.computer.org/csdl/journal/tk/5555/01/10517676/1WCj0j0FljW" target="_blank" rel="noopener noreferrer">Paper</a>
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://arxiv.org/abs/2404.19141" target="_blank" rel="noopener noreferrer">Preprint</a>
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://github.com/wtl52656/MM-STGED" target="_blank" rel="noopener noreferrer">Code</a>
|
|
|
|
</div>
|
|
</div>
|
|
<h5 class="mb-1 paper-title">Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery</h5>
|
|
<p class="card-text mb-auto author-name">Tonglong Wei, Youfang Lin, <strong>Yan Lin</strong>, Shengnan Guo, Lan Zhang, Huaiyu Wan</p>
|
|
</div> <div class="list-group-item px-0">
|
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<div class="d-flex justify-content-between align-items-center mb-1">
|
|
<p class="d-inline-block mb-0 venue-name secondary-text">
|
|
KBS<span class='text-muted'> | </span>2024
|
|
</p>
|
|
<div class="d-flex gap-2">
|
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<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://www.sciencedirect.com/science/article/pii/S0950705123010730" target="_blank" rel="noopener noreferrer">Paper</a>
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://github.com/wtl52656/IAGCN" target="_blank" rel="noopener noreferrer">Code</a>
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</div>
|
|
</div>
|
|
<h5 class="mb-1 paper-title">Inductive and Adaptive Graph Convolution Networks Equipped with Constraint Task for Spatial-Temporal Traffic Data Kriging</h5>
|
|
<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>
|
|
</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
|
|
</p>
|
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<div class="d-flex gap-2">
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|
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<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://ieeexplore.ieee.org/document/10613424" 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/2407.15899" target="_blank" rel="noopener noreferrer">Preprint</a>
|
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|
|
</div>
|
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</div>
|
|
<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">
|
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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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AAAI<span class='text-muted'> | </span>2023
|
|
</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://ojs.aaai.org/index.php/AAAI/article/view/25546" 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://github.com/LetianGong/CACSR" target="_blank" rel="noopener noreferrer">Code</a>
|
|
|
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</div>
|
|
</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">
|
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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">
|
|
ESWA<span class='text-muted'> | </span>2023
|
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</p>
|
|
<div class="d-flex gap-2">
|
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<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://www.sciencedirect.com/science/article/pii/S0957417423012241" target="_blank" rel="noopener noreferrer">Paper</a>
|
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</div>
|
|
</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 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
|
|
</p>
|
|
<div class="d-flex gap-2">
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://link.springer.com/article/10.1007/s10489-023-05057-7" target="_blank" rel="noopener noreferrer">Paper</a>
|
|
|
|
</div>
|
|
</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 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
|
|
</p>
|
|
<div class="d-flex gap-2">
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://openreview.net/forum?id=y08bkEtNBK" target="_blank" rel="noopener noreferrer">Paper</a>
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://github.com/Water2sea/WITRAN" target="_blank" rel="noopener noreferrer">Code</a>
|
|
|
|
</div>
|
|
</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 class="text-start mt-1">
|
|
<small class="text-muted" style="font-size: 0.8rem"
|
|
>* Equal Contribution</small
|
|
>
|
|
</div>
|
|
</article>
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<article class="section" id="projects">
|
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<div class="d-flex align-items-center mb-1">
|
|
<h3 class="section-title d-inline-block mb-0">
|
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<i class="bi bi-code-slash"></i> Projects
|
|
</h3>
|
|
<div class="flex-grow-1 mx-3" style="border-bottom: 1px dashed var(--border-color); height: 1px;"></div>
|
|
<a class="mb-0 link link-secondary link-underline-opacity-0 h5" href="/projects/">
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View All
|
|
</a>
|
|
</div>
|
|
<div>
|
|
<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
|
|
</p>
|
|
<div class="d-flex gap-2">
|
|
|
|
</div>
|
|
</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 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
|
|
</p>
|
|
<div class="d-flex gap-2">
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://www.overleafcopilot.com/" target="_blank" rel="noopener noreferrer">Home</a>
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://chromewebstore.google.com/detail/overleaf-copilot/eoadabdpninlhkkbhngoddfjianhlghb" target="_blank" rel="noopener noreferrer">Install</a>
|
|
|
|
</div>
|
|
</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 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
|
|
</p>
|
|
<div class="d-flex gap-2">
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://www.promptgenius.site/" target="_blank" rel="noopener noreferrer">Website</a>
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://github.com/wenhaomin/ChatGPT-PromptGenius" target="_blank" rel="noopener noreferrer">Code</a>
|
|
|
|
</div>
|
|
</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">
|
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<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
|
|
</p>
|
|
<div class="d-flex gap-2">
|
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|
|
</div>
|
|
</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 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
|
|
</p>
|
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<div class="d-flex gap-2">
|
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|
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</div>
|
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</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 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
|
|
</p>
|
|
<div class="d-flex gap-2">
|
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|
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</div>
|
|
</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>
|
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</article>
|
|
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|
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<article class="section" id="presentations">
|
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<div class="d-flex align-items-center mb-1">
|
|
<h3 class="section-title d-inline-block mb-0">
|
|
<i class="bi bi-easel"></i> Presentations
|
|
</h3>
|
|
<div class="flex-grow-1 mx-3" style="border-bottom: 1px dashed var(--border-color); height: 1px;"></div>
|
|
<a class="mb-0 link link-secondary link-underline-opacity-0 h5" href="/presentations/">
|
|
View All
|
|
</a>
|
|
</div>
|
|
<div class="list-group list-group-flush" id="presentation-list">
|
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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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Oral Presentation<span class='text-muted'> | </span>PNCS17
|
|
</p>
|
|
<div class="d-flex gap-2">
|
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|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="/assets/pncs17-slides.pdf" target="_blank" rel="noopener noreferrer">Slides</a>
|
|
|
|
</div>
|
|
</div>
|
|
<h5 class="mb-1 paper-title">AMDEN: Amorphous Materials DEnoising Network</h5>
|
|
</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">
|
|
Guest lecture<span class='text-muted'> | </span>Aalborg University
|
|
</p>
|
|
<div class="d-flex gap-2">
|
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|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="/assets/Self-supervised Learning of Trajectory Data.pdf" target="_blank" rel="noopener noreferrer">Slides</a>
|
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|
|
</div>
|
|
</div>
|
|
<h5 class="mb-1 paper-title">Self-supervised Learning of Trajectory Data</h5>
|
|
</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">
|
|
Workshop presentation<span class='text-muted'> | </span>KDD 2024
|
|
</p>
|
|
<div class="d-flex gap-2">
|
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|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="/assets/KDD_2024_Workshop_PLM4Traj.pdf" target="_blank" rel="noopener noreferrer">Slides</a>
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="https://arxiv.org/abs/2405.12459" target="_blank" rel="noopener noreferrer">Paper</a>
|
|
|
|
</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 class="d-flex justify-content-between align-items-center mb-1">
|
|
<p class="d-inline-block mb-0 venue-name secondary-text">
|
|
Paper Oral<span class='text-muted'> | </span>SIGMOD 2024
|
|
</p>
|
|
<div class="d-flex gap-2">
|
|
|
|
<a class="link icon-link icon-link-hover paper-link link-secondary" href="/assets/SIGMOD-Oral-PPT.pdf" target="_blank" rel="noopener noreferrer">Slides</a>
|
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|
|
</div>
|
|
</div>
|
|
<h5 class="mb-1 paper-title">Origin-Destination Travel Time Oracle for Map-based Services</h5>
|
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</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">
|
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Tutorial<span class='text-muted'> | </span>SpatialDI 2024
|
|
</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="/assets/Talk on SpatialDI 2024.pdf" target="_blank" rel="noopener noreferrer">Slides</a>
|
|
|
|
</div>
|
|
</div>
|
|
<h5 class="mb-1 paper-title">Self-supervised Learning of Spatial-temporal Trajectories</h5>
|
|
</div>
|
|
</div>
|
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</article>
|
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<article
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id="services"
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class="rounded text-body-emphasis bg-body-secondary flex-md-row my-4 position-relative p-4 transition-shadow"
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style="transition: box-shadow 0.2s ease-in-out"
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onmouseover="this.classList.add('shadow-sm')"
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onmouseout="this.classList.remove('shadow-sm')"
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>
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<h3 class="mb-3"><i class="bi bi-person-lines-fill"></i> Services</h3>
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<div id="service-list">
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<ul class="list ps-3">
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<li>IEEE, ACM member</li>
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<li>Secretary of IEEE (Denmark Section) Computer Society</li>
|
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|
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<li>Reviewer for journals: TKDE, TKDD, TIST, TII, and TVT</li>
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|
|
<li>Member of program committees of conferences: KDD, ICLR, NeurIPS, AAAI, CVPR, ICCV, IJCAI, WWW, and WACV</li>
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</ul>
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</div>
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</article>
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© 2025 - Designed and implemented by Yan Lin.
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