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<!DOCTYPE html>
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    <title>Lee Optimization Group</title>
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        <h1>Lee Optimization Group</h1>
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            <h1>Lee Optimization Group</h1>
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            <a href="index.html">Home</a>
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    <div class="intro-section">

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            <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>.
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        <!-- <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>.
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        <h3>Recent News</h3>
        <div class="news-list">

            <div class="news-item">
                <span class="news-date">Feb 2026</span>
                <span class="news-content">🤝 Our lab has been selected for the "Early-Career Researcher Infrastructure Support Program" (NRF) — one of the most competitive grants in Korea. With <em>500M KRW</em> in funding, we will build a high-performance compute infrastructure to power our research on extreme compression of hyperscale AI foundation models.</span>
            </div>

            <div class="news-item">
                <span class="news-date">Feb 2026</span>
                <span class="news-content">📃 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.</span>
            </div>

            <div class="news-item">
                <span class="news-date">Feb 2026</span>
                <span class="news-content">📃 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.</span>
            </div>

            <div class="news-item">
                <span class="news-date">Feb 2026</span>
                <span class="news-content">✈️ Kwanhee started as a visiting student researcher in the <a href="https://daslab.pages.ista.ac.at/" target="_blank">Dan Alistarh Group</a>.</span>
            </div>

            <div class="news-item">
                <span class="news-date">Jan 2026</span>
                <span class="news-content">🎓 Our paper on extreme LLM sparsity (<a href="https://arxiv.org/abs/2510.01650" target="_blank">ELSA</a>) has been accepted to ICLR 2026.</span>
            </div>

            <div class="news-item">
                <span class="news-date">Nov 2025</span>
                <span class="news-content">🏆 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>.</span>
            </div>

            <!-- <div class="news-item">
                <span class="news-date">Nov 2025</span>
                <span class="news-content">🏆 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.</span>
            </div> -->

            <!-- <div class="news-item">
                <span class="news-date">Nov 2025</span>
                <span class="news-content">🏆 Hyunji recived NRF Fellowship.</span>
            </div> -->

            <!-- <div class="news-item">
                <span class="news-date">Nov 2025</span>
                <span class="news-content">🎓 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.</span>
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                We spend time together on various occasions
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            </p>

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                <img src="stories/post-icml.jpeg" alt="Story 1">
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        <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>
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