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190 lines
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7.4 KiB
HTML
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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 Presentations</div>
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Oral Presentation<span class='text-muted'> | </span>PNCS17
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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>
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<h5 class="mb-1 paper-title">AMDEN: Amorphous Materials DEnoising Network</h5>
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Guest lecture<span class='text-muted'> | </span>Aalborg University
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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>
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<h5 class="mb-1 paper-title">Self-supervised Learning of Trajectory Data</h5>
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Workshop presentation<span class='text-muted'> | </span>KDD 2024
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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>
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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">Paper</a>
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<h5 class="mb-1 paper-title">PLM4Traj: Leveraging Pre-trained Language Models for Cognizing Movement Patterns and Travel Purposes from Trajectories</h5>
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Paper Oral<span class='text-muted'> | </span>SIGMOD 2024
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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/SIGMOD-Oral-PPT.pdf" target="_blank" rel="noopener noreferrer">Slides</a>
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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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</div>
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Tutorial<span class='text-muted'> | </span>SpatialDI 2024
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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>
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</div>
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<h5 class="mb-1 paper-title">Self-supervised Learning of Spatial-temporal Trajectories</h5>
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</div>
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Paper Oral<span class='text-muted'> | </span>AAAI 2021
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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="/assets/AAAI21 Oral PPT.pdf" target="_blank" rel="noopener noreferrer">Slides</a>
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</div>
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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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</div>
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