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8.8 KiB
HTML
216 lines
No EOL
8.8 KiB
HTML
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Fundamental Research Funds for the Central Universities of China
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</p>
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<div class="d-flex gap-2">
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<h5 class="mb-1 paper-title">Research on <i>Prediction of User Travel Destination and Travel Time Based on Trajectory Representation Learning</i></h5>
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<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>
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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 primary-text">
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Personal Interest Project
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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.overleafcopilot.com/" target="_blank" rel="noopener noreferrer">Home</a>
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<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>
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</div>
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</div>
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<h5 class="mb-1 paper-title">Development of <i>OverleafCopilot - Empowering Academic Writing in Overleaf with Large Language Models</i></h5>
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<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>
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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 primary-text">
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Personal Interest Project
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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.promptgenius.site/" target="_blank" rel="noopener noreferrer">Website</a>
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<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>
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</div>
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</div>
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<h5 class="mb-1 paper-title">Development of <i>PromptGenius - All-purpose prompts for LLMs</i></h5>
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<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>
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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 list-group-flush">
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<p class="d-inline-block mb-0 venue-name secondary-text">
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Villum Foundation
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</p>
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<div class="d-flex gap-2">
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<h5 class="mb-1 paper-title">Research on <i>Inverse Design of Materials Using Diffusion Probabilistic Models</i></h5>
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<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>
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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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National Natural Science Foundation of China
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</p>
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<div class="d-flex gap-2">
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<h5 class="mb-1 paper-title">Research on <i>Pre-training Representation Learning Methods of Spatial-temporal Trajectory Data for Traffic Prediction</i></h5>
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<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>
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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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National Natural Science Foundation of China
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</p>
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<div class="d-flex gap-2">
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</div>
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</div>
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<h5 class="mb-1 paper-title">Research on <i>Spatial-temporal Trajectory Generation and Representation Learning Methods for Sparsity Problems</i></h5>
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<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>
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</div>
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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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