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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <link rel="icon" href="logo/log_logo.png" type="image/png">
    <title>Lee Optimization Group</title>
    <style>
        body {
            font-family: system-ui, -apple-system, sans-serif;
            line-height: 1.6;
            margin: 0;
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        h3 {
            margin-top: 30px;
            margin-bottom: 5px;   /* 제목 아래 간격 줄임 */
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            margin-top: 0;        /* 제목 바로 다음 문단 위 간격 제거 */
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        .logo {
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            margin-top: 20px;
        }

        .intro-image img {
            width: 100%;
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            image-rendering: auto;
            margin-bottom: 15px;
        }

        .intro-image {
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        }

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            margin-top: 60px;
        }

        .stories-desc {
            margin-bottom: 25px;
            color: #555;
        }

        .stories-gallery {
            display: flex;
            gap: 15px;
            overflow-x: auto;   /* 🔥 화면 작으면 가로 스크롤 */
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            object-fit: cover;
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        }
    </style>
</head>
<body>

    <header>
        <h1>Lee Optimization Group</h1>
        <!-- <div class="logo-title">
            <img src="log_logo.png" alt="LOG Logo" class="logo">
            <h1>Lee Optimization Group</h1>
        </div> -->
        <nav>
            <a href="index.html">Home</a>
            <a href="research.html">Research</a>
            <a href="group.html">Members</a>
            <a href="hiring.html">Hiring</a>
            <a href="gallery.html">Gallery</a>
            <a href="contact.html">Contact</a>
        </nav>
    </header>

    <main>
    <div class="intro-section">

        <div class="intro-image">
            <img src="lab_photo.png" alt="Lab Photo">
        </div>

        <div class="intro-text">
            <p>
            We pursue research in machine learning and optimization.
            To this end, we develop theories and algorithms using computational and mathematical tools.
            Our ultimate goal is to provide robust and provable solutions to challenging problems in artificial intelligence, particularly those in large-scale settings.
            We are passionate about translating our findings into practical applications that can benefit society.
            For further details on our research directions and ongoing projects, please refer to the
            <a href="research.html">Research</a>.
            </p>
        </div>

    </div>


        <!-- <h3>Hiring</h3>
        <p>
            We are actively recruiting talented and motivated students to join our research group.
            For further information, please visit the
            <a href="hiring.html">Hiring</a>.
        </p> -->
        <h3>Recent News</h3>
        <ul>

            <li>
                <strong>Feb 2026  </strong>
                 Our lab has been selected for the Young Investigator Infrastructure Support Program funded by National Research Foundation of Korea.
            </li>

            <li>
                <strong>Feb 2026  </strong>
                📃 Our new paper is now available on <a href="https://arxiv.org/abs/2602.18181v1" target="_blank">arXiv</a>! In this work, We introduce SeedFlood, a decentralized LLM training framework that enables model-size–independent communication cost and perfect consensus.
            </li>

            <li>
                <strong>Feb 2026  </strong>
                📃 Our new paper is now available on <a href="https://www.arxiv.org/abs/2602.03515" target="_blank">arXiv</a>! In this work, we propose a basis rotation approach to effectively address the gradient staleness problem in asynchronous pipeline parallelism.
            </li>

            <li>
                <strong>Feb 2026  </strong>
                ✈️ Kwanhee started as a visiting student researcher in the
                <a href="https://daslab.pages.ista.ac.at/" target="_blank">
                Dan Alistarh Group</a>.
            </li>

            <li>
                <strong>Jan 2026  </strong>
                🎓 Our paper on extreme LLM sparsity
                (<a href="https://arxiv.org/abs/2510.01650" target="_blank">ELSA</a>)
                has been accepted to ICLR 2026.
                </a>
            </li>

            <li>
                <strong>Nov 2025  </strong>
                🏆 Dongyeop recived the
                <a href="https://www.qualcomm.com/research/university-relations/innovation-fellowship/2025-south-korea" target="_blank">Qualcomm Innovation Fellowship Korea 2025</a>.
                </a>
            </li>

            <!-- <li>
                <strong>Nov 2025  </strong>
                🏆 Our new paper on extreme LLM sparsity
                (<a href="https://arxiv.org/abs/2510.01650" target="_blank">ELSA</a>)
                won Best Paper Award at JKAIA 2025.
                </a>
            </li> -->

            <!-- <li>
                <strong>Nov 2025  </strong>
                🏆 Hyunji recived NRF Fellowship.
                </a>
            </li> -->

            <!-- <li>
                <strong>Nov 2025  </strong>
                🎓 We had 2 papers
                (<a href="https://arxiv.org/abs/2510.25798" target="_blank">MemEIC</a> and <a href="https://arxiv.org/abs/2505.16705" target="_blank">An Analysis of Impact of Noisy Annotations on Concept Bottleneck Models</a>)
                accepted to NeurIPS 2025.
            </li> -->

        </ul>

        <!-- <section class="stories-section">

            <h3>Stories</h3>
            <p class="stories-desc">
                We spend time together on various occasions
                (see <a href="gallery.html">gallery</a> for more).
            </p>

            <div class="stories-gallery">
                <img src="stories/post-icml.jpeg" alt="Story 1">
                <img src="stories/year-end-party.png" alt="Story 2">
                <img src="stories/open_day.jpg" alt="Story 3">
                <img src="stories/24_open_day.jpg" alt="Story 4">
                <img src="stories/story5.jpg" alt="Story 5">
                <img src="stories/story6.jpg" alt="Story 6">
            </div>

        </section> -->

        <h3>Acknowledgements</h3>
        <p>
            Our research is generously supported by multiple organizations including government agencies
            (NRF, IITP), industry (Google, Samsung, Naver, Intel), and academic institutions
            (POSTECH, Yonsei).
        </p>
    </main>

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