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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
<meta name="description" content="" />
<meta name="author" content="theQuert" />
<title>Yu-Ting Lee Homepage</title>
<link rel="icon" type="image/x-icon" href="assets/img/favicon.ico" />
<!-- Font icons (free version)-->
<script src="https://use.fontawesome.com/releases/v5.13.0/js/all.js" crossorigin="anonymous"></script>
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<style>
.loading-indicator {
color: #6c757d;
font-style: italic;
font-size: 0.9em;
}
</style>
</head>
<body id="page-top">
<!-- Navigation-->
<nav class="navbar navbar-expand-lg navbar-light fixed-top" id="mainNav">
<div class="container">
<!-- Logo Image-->
<!--
<a class="navbar-brand" href="#">
<img src="./assets/img/logoorange.png" alt="">
</a>
-->
<a class="navbar-brand js-scroll-trigger" href="https://yutinglee.com">Homepage</a>
<button class="navbar-toggler navbar-toggler-right" type="button" data-toggle="collapse" data-target="#navbarResponsive" aria-controls="navbarResponsive" aria-expanded="false" aria-label="Toggle navigation">
Menu
<i class="fas fa-bars"></i>
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<div class="collapse navbar-collapse" id="navbarResponsive">
<ul class="navbar-nav ml-auto">
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="#about">About</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="#projects">Projects</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="#photography">Photography</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="https://thequert.github.io/pages/gear">Gear</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="https://blog.stima.tech/blog/authors/ytlee">Blogs</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="##">Contact</a></li>
</ul>
</div>
</div>
</nav>
<!-- Masthead-->
<header class="masthead">
<div class="container d-flex h-100 align-items-center">
<div class="mx-auto text-center">
<h1 class="mx-auto my-0"></h1>
<h3 class="text-white mx-auto my-0">Yu-Ting Lee</h3>
<h3 class="text-white-50 mx-auto mt-2 mb-5">Self-learning NLP and software engineering through research & development.</h3>
<a class="btn btn-primary js-scroll-trigger" href="#about">READ MORE</a>
<a class="btn btn-primary js-scroll-trigger" href="https://thequert.github.io/pages/YTLee_CV.pdf">CV</a>
</div>
</div>
</header>
<!-- About-->
<section class="about-section text-center" id="about">
<div class="container">
<div class="row">
<div class="col-lg-8 mx-auto">
<h2 class="text-white mb-4">MY WORK</h2>
<p class="text-white-50" style="font-size: 17px;">
Currently work at Wingene Data Science Inc. as AI (NLP) Engineer and Institute of Information Science, Academia Sinica as Research Assistant.
</p>
<p class="text-white-50" style="font-size: 17px;">
Yu-Ting Lee, a dedicated and innovative Natural Language Processing (NLP) researcher with a specialized focus on natural language generation and knowledge updating. Lee holds a distinguished academic background, having graduated from the Department of Computer Science at National Chengchi University, a testament to a solid foundation in computational studies and a keen interest in linguistic technologies.
</p>
<p class="text-white-50" style="font-size: 17px;">
The pinnacle of Lee''s research endeavors can be seen through the master''s thesis, which intricately explores the realm of full article updating, given non-updated information and triggered events. This work demonstrates a profound understanding of the dynamic interplay between static information and evolving knowledge, ensuring that generated text remains relevant and accurate amidst the ever-changing informational landscape.
</p>
<p class="text-white-50" style="font-size: 17px;">
Notably, Lee has also made a significant contribution to the academic community with work published at Conference on Infsormation and Knowledge Management (CIKM) in 2022, reflecting a commitment to advancing the field of NLP through rigorous research and knowledge dissemination. Lee continues to delve deeper into the exploration of how machines can adeptly generate and update language, bridging the gap between static knowledge and the fluidity of human communication.
</p>
</div>
</div>
<div class="mx-auto text-center">
<h2 class="text-white mb-4">FOCUSING</h2>
<table class="table table-light align-items-center">
<thead>
<tr>
<th>Programming</th>
<th>Deep Learning Framework</th>
<th>OS, IDEs, Text Editors</th>
<th>Dev Tools</th>
</tr>
</thead>
<tbody>
<tr>
<td>Python (approx. 6 years experience. Extensive)</td>
<td>PyTorch (Extensive)</td>
<td>macOS</td>
<td>Hugging Face (Extensive)</td>
</tr>
<tr>
<td>C Programming (minor)</td>
<td>PyTorch Lightning (Extensive)</td>
<td>Linux (Ubuntu, Debian)</td>
<td>Gradio (Extensive)</td>
</tr>
<tr>
<td>Competitive Programming, Shell (beginner)</td>
<td>Keras (minor)</td>
<td>Jupyter</td>
<td>PySpark (beginner)</td>
</tr>
<tr>
<td>Git Flow</td>
<td>Tensorflow (minor)</td>
<td>Google Colab</td>
</tr>
<tr>
<td></td>
<td></td>
<td>VIM, Sublime Text (Extensive)</td>
</tr>
</tbody>
</table>
</div>
<!---
<div class="mx-auto text-center">
<h2 class="text-white mb-4"></h2>
<table class="table table-light align-items-center">
<thead>
<tr>
<th>Photography - Drone</th>
<th>Video Production</th>
<th>Community</th>
</tr>
</thead>
<tbody>
<tr>
<td>DJI Phantom 3 Advanced (approx. 5 years experience)</td>
<td>TechEDU Studio</td>
<td>OpenSource Projects on GitHub</td>
</tr>
<tr>
<td>DJI Phantom 2 Vision Plus (approx. 6 years experience)</td>
<td>Stima Studio</td>
</tr>
</tbody>
</table>
</div>
-->
</div>
<div class="row align-items-center no-gutters mb-4 mb-lg-5">
</div>
</section>
<!-- Projects-->
<section class="projects-section bg-light" id="projects">
<div class="container">
<!-- Featured Project Row-->
<div class="row align-items-center no-gutters mb-4 mb-lg-5">
<div class="col-xl-4 col-lg-5">
<div class="featured-text text-center text-lg-left">
<h4>Popular Repositories</h4>
<p class="text-black-50 mb-0"></p>
</div>
</div>
<div class="mx-auto text-center">
<h2 class="text-white mb-4"></h2>
<table class="table table-light align-items-center table-striped">
<thead>
<tr>
<th>Title</th>
<th>Description</th>
<th>Language</th>
<th>Stars</th>
<th>Forks</th>
</tr>
</thead>
<tbody>
<tr>
<td><code><a href="https://github.com/hhhuang/CAG" target="_blank"><b>hhhuang/CAG</b></code></td>
<td>Cache-Augmented Generation: A Simple, Efficient Alternative to RAG</td>
<td>Python, PyTorch, Shell</td>
<td><span class="loading-indicator">loading...</span></td>
<td><span class="loading-indicator">loading...</span></td>
</tr>
<tr>
<td><code><a href="https://github.com/theQuert/Event-Triggered-Article-Updating-System" target="_blank"><b>Event-Triggered-Article-Updating-System</b></code></td>
<td>Event Triggered Article Updating System</td>
<td>Python, PyTorch, Shell, Gradio</td>
<td><span class="loading-indicator">loading...</span></td>
<td><span class="loading-indicator">loading...</span></td>
</tr>
<tr>
<td><code><a href="https://github.com/Lightning-AI/lit-llama" target="_blank"><b>Lightning-AI/lit-llama</b></code></td>
<td>Debugging the source code related to fine-tune LLaMA</td>
<td>Python, PyTorch, PyTorch-Lightning</td>
<td><span class="loading-indicator">loading...</span></td>
<td><span class="loading-indicator">loading...</span></td>
</tr>
<tr>
<td><code><a href="https://github.com/hhhuang/NetKu" target="_blank"><b>hhhuang/NetKu</b></code></td>
<td>A Multi-grained Dataset for News Event Triggered Knowledge Update</td>
<td>Python, PyTorch, Shell</td>
<td><span class="loading-indicator">loading...</span></td>
<td><span class="loading-indicator">loading...</span></td>
</tr>
<tr>
<td><code><a href="https://github.com/thequert/inlpfun" target="_blank"><b>iNLPfun</b></code></td>
<td>NLP related scripts</td>
<td>Python, PyTorch</td>
<td><span class="loading-indicator">loading...</span></td>
<td><span class="loading-indicator">loading...</span></td>
</tr>
<tr>
<td><code><a href="https://github.com/theQuert/G4G-Hiring-Data-Science" target="_blank"><b>G4G-Hiring-Data-Science</b></code></td>
<td>Hackathon - GeeksforGeeks Hiring Data Science: Scraping data from YouTube and Analyzing</td>
<td>Python, NumPy</td>
<td><span class="loading-indicator">loading...</span></td>
<td><span class="loading-indicator">loading...</span></td>
</tr>
<tr>
<td><code><a href="https://github.com/theQuert/XPS-9360-macOS" target="_blank"><b>XPS-9360-macOS</b></code></td>
<td>Hackintosh on Dell XPS 13 9360</td>
<td>C++, Shell, Python</td>
<td><span class="loading-indicator">loading...</span></td>
<td><span class="loading-indicator">loading...</span></td>
</tr>
<tr>
<td><code><a href="https://github.com/theQuert/COVID-Tweets-Summ" target="_blank"><b>COVID-Tweets-Summ</b></code></td>
<td>Specific-Aspect Summarization on News According to Social Sentiments</td>
<td>Python, Hugging Face, PyTorch</td>
<td><span class="loading-indicator">loading...</span></td>
<td><span class="loading-indicator">loading...</span></td>
</tr>
<tr>
<td><code><a href="https://github.com/theQuert/NLP-sentiment-analysis" target="_blank"><b>NLP-sentiment-analysis</b></code></td>
<td>Sentiment Analysis models with multiple algorithms on movie reviews</td>
<td>Python, Jupyter</td>
<td><span class="loading-indicator">loading...</span></td>
<td><span class="loading-indicator">loading...</span></td>
</tr>
</tbody>
</table>
<!-- Publications-->
<section class="publicaions-section bg-light" id="publications">
<div class="container">
<!-- Featured Publications Row-->
<div class="row align-items-center no-gutters mb-4 mb-lg-5">
<div class="col-xl-4 col-lg-5">
<div class="featured-text text-center text-lg-left">
<h4>Publications</h4>
<p class="text-black-50 mb-0"></p>
</div>
</div>
<div class="mx-auto text-center">
<h2 class="text-white mb-4"></h2>
<table class="table table-light align-items-center table-striped">
<thead>
<tr>
<th>Title</th>
<th>Conference/Institute</th>
<th>PDF</th>
<th>Code</th>
<th>Author/Co-author</th>
<th>Date</th>
</tr>
</thead>
<tbody>
<tr>
<td><b>Knowledge Update in Full Text Triggered by a News Event</b></td>
<td>Master's Thesis @ <br>Department of Computer Science, <br> National Chengchi University</td>
<td><a href="https://drive.google.com/file/d/1RzfgyGdtvYvein9Z34xLVSlGLViz_UH9/view?usp=sharing" target="_blank"><b>[PDF]</b></td>
<td><a href="https://github.com/theQuert/Event-Triggered-Article-Updating-System" target="_blank"><b>[Code]</b></td>
<td><b>Yu-Ting Lee</b></td>
<td>October 2023</td>
</tr>
<tr>
<td><b>A Multi-grained Dataset for News Event Triggered Knowledge Update</b></td>
<td>ACM International Conference on Information and Knowledge Management (CIKM 2022)</td>
<td><a href="https://dl.acm.org/doi/10.1145/3511808.3557537" target="_blank"><b>[PDF]</b></td>
<td><a href="https://github.com/hhhuang/NetKu" target="_blank"><b>[Code]</b></td>
<td><b>Yu-Ting Lee</b>, Ying-Jhe Tang, Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li and Hen-Hsen Huang</td>
<td>October 2022</td>
</tr>
<tr>
<td><b>A Sentiment Analysis Method based on a Transformer and a Recurrent Neural Network</b></td>
<td>National Taiwan University Management Reviews: 1st Management and Medical Sciences Interdisciplinary Conference</td>
<td><a href="https://github.com/theQuert/inlpfun/blob/master/MOST_NTU_project/abs/final/Sentiment_Analysis.pdf" target="_blank"><b>[PDF]</b></td>
<td><a href="https://github.com/theQuert/NLP-sentiment-analysis" target="_blank"><b>[Code]</b></td>
<td><b>Yu-Ting Lee</b>, Yen-Ching Chang, Wei-Syuan Guo and Jhomg-Chen Cao</td>
<td>November 2020</td>
</tr>
</tbody>
</table>
<div class="featured-text text-center text-lg-left">
<h2 class="text-white mb-4">t</h2>
<h4>Academic Services & Invited Talks</h4>
<table class="table table-striped align-items-center table-striped">
<thead>
<tr>
<th>Types</th>
<th>TItle</th>
<th>Date</th>
</tr>
</thead>
<tbody>
<tr>
<td>Invited Talks</td>
<td>Modern Programming Skills with Artificial Intelligence</td>
<td>2025/03/28</td>
</tr>
<tr>
<td>Reviewer</td>
<td>COLING 2025</td>
<td>2024/10</td>
</tr>
<tr>
<td>PC Member</td>
<td>ROCLING 2025</td>
<td>2024/11</td>
</tr>
<tr>
<td>Reviewer</td>
<td>LREC-COLING 2024</td>
<td>2024/01</td>
</tr>
<tr>
<td>Invited Talks</td>
<td>Enhancing Knowledge-Intensive Tasks with Embeddings and Generative Models</td>
<td>2024/11/29</td>
</tr>
<tr>
<td>Invited Talks</td>
<td>Dense Information Retrieval with Large Language Models</td>
<td>2024/03/22</td>
</tr>
</tbody>
</table>
<p class="text-black-50 mb-0"></p>
</div>
</div>
<div class="featured-text text-center text-lg-left">
<h2 class="text-white mb-4">t</h2>
<h4>Certificates</h4>
<table class="table table-striped align-items-center table-striped">
<thead>
<tr>
<th>Institute</th>
<th>Course</th>
<th>Date</th>
</tr>
</thead>
<tbody>
<tr>
<td>Coursera</td>
<td><a href="https://www.coursera.org/account/accomplishments/certificate/LXKM8B7XDE28" target="_blank">Natural Language Processing with Sequence Models</td>
<td>2021/07</td>
</tr>
<tr>
<td>Coursera</td>
<td><a href="https://www.coursera.org/account/accomplishments/certificate/7P4MDYCDJ5TZ" target="_blank">Natural Language Processing with Probabilistic Models</td>
<td>2021/07</td>
</tr>
<tr>
<td>Coursera</td>
<td><a href="https://www.coursera.org/account/accomplishments/certificate/QM92QF2288CS" target="_blank">Natural Language Processing with Classification and Vector Spaces</td>
<td>2021/07</td>
</tr>
<tr>
<td>Coursera</td>
<td><a href="https://www.coursera.org/account/accomplishments/certificate/RTVBD2ASSRLK" target="_blank">Natural Language Processing with Attention Models</td>
<td>2021/07</td>
</tr>
<tr>
<td>Coursera</td>
<td><a href="https://www.coursera.org/account/accomplishments/certificate/4SDQA9HC8LYH" target="_blank">Natural Language Processing Specialization</td>
<td>2021/07</td>
</tr>
<tr>
<td>Coursera</td>
<td><a href="https://www.coursera.org/account/accomplishments/certificate/RABQRTXQTR2V" target="_blank">Fine Tune BERT for Text Classification with Tensorflow</td>
<td>2021/07</td>
</tr>
<tr>
<td>Coursera</td>
<td><a href="https://www.coursera.org/account/accomplishments/certificate/ZUVV2F8U4HAF" target="_blank">Supervised Machine Learning: Regression and Classification</td>
<td>2022/09</td>
</tr>
<tr>
<td>Coursera</td>
<td><a href="https://www.coursera.org/account/accomplishments/certificate/LE75AD463Q9B" target="_blank">Advanced Learning Algorithms</td>
<td>2022/11</td>
</tr>
<tr>
<td>Coursera</td>
<td><a href="https://www.coursera.org/account/accomplishments/certificate/JPAXEK8M8YH" target="_blank">Unsupervised Learning, Recommenders, Reinforcement Learning</td>
<td>2022/12</td>
</tr>
<tr>
<td>Coursera</td>
<td><a href="https://www.coursera.org/account/accomplishments/certificate/5GEFUWEPDY9A" target="_blank">Machine Learning Specialization</td>
<td>2022/12</td>
</tr>
</tbody>
</table>
<p class="text-black-50 mb-0"></p>
</div>
</div>
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- <code>More NLP Projects</code>
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- Self-driving Car (Deep Learning: <code>Resume</code>)
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