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<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Mingyu Liu | Mingyu Liu</title>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<style>
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.skill-desc { font-size: 0.95rem; color: #444; line-height: 1.5; }
footer {
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margin-top: 60px; padding-bottom: 40px;
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/* 响应式调整 */
@media (max-width: 600px) {
.nav { padding: 12px 16px; }
.container { padding: 0 16px; margin-top: 20px; }
h1 { font-size: 2rem; }
.entry-head { flex-direction: column; }
.card { padding: 20px; }
}
.lang-content { display: none; }
.lang-content.active { display: block; animation: fadeIn 0.6s cubic-bezier(0.22, 1, 0.36, 1); }
@keyframes fadeIn { from { opacity: 0; transform: translateY(20px); } to { opacity: 1; transform: translateY(0); } }
</style>
</head>
<body>
<div class="nav-container">
<nav class="nav">
<div class="brand">Mingyu Liu</div>
<div class="lang-switch">
<button class="lang-btn active" onclick="switchLang('zh')" id="btn-zh">中文</button>
<button class="lang-btn" onclick="switchLang('en')" id="btn-en">EN</button>
</div>
</nav>
</div>
<div class="container">
<div id="content-zh" class="lang-content active">
<header>
<img src="2.jpg" alt="Mingyu Liu" class="avatar">
<h1>Mingyu Liu</h1>
<p class="subtitle">中山大学计算机本科在读 / 探索 CV & MLLM</p>
<div class="social-links">
<a href="https://github.com/rgefg" target="_blank" class="pill">
<i class="fa-brands fa-github"></i> GitHub
</a>
<span class="pill">
<i class="fa-regular fa-envelope"></i> liumy226@mail2.sysu.edu.cn
<i class="fas fa-copy copy-icon" onclick="copyText('liumy226@mail2.sysu.edu.cn')"></i>
</span>
<span class="pill">
<i class="fa-brands fa-weixin"></i> AttenT1on11
<i class="fas fa-copy copy-icon" onclick="copyText('AttenT1on11')"></i>
</span>
<span class="pill">
<strong style="color: #ff2442;">红</strong> 小红书: 314698851
<i class="fas fa-copy copy-icon" onclick="copyText('314698851')"></i>
</span>
</div>
</header>
<section>
<h2>教育背景</h2>
<div class="card">
<div class="entry-head">
<h3 class="entry-title">中山大学 (Sun Yat-sen University)</h3>
<span class="entry-meta">2023.09 – 2027.06</span>
</div>
<span class="entry-sub">工学学士 | 计算机科学与技术</span>
<ul>
<li><strong>学业成绩</strong>:Top 17% | CET-6 (570)。</li>
<li><strong>竞赛奖项</strong>:2023年全国大学生数学竞赛(非数学类)广东省二等奖。</li>
</ul>
</div>
</section>
<section>
<h2>研究经历</h2>
<div class="card">
<div class="entry-head">
<h3 class="entry-title">ISEE 实验室 | 科研助理</h3>
<span class="entry-meta">2025.07 – 至今</span>
</div>
<span class="entry-sub">课题:跨模态群组重识别 (RGB-IR G-ReID)</span>
<ul>
<li><strong>痛点解决</strong>:针对红外-可见光模态差异大及群组布局动态变化的难题。</li>
<li><strong>核心算法</strong>:提出 <strong>SAOT (Structure-Aware Optimal Transport)</strong>。将群组匹配建模为最优传输问题,引入结构化成员相似度修正传输代价。</li>
<li><strong>成果</strong>:在公开数据集上达到SOTA,推理速度提升 10 倍。</li>
</ul>
</div>
<div class="card">
<div class="entry-head">
<h3 class="entry-title">多模态大模型 (MLLM) 数据合成与微调</h3>
<span class="entry-meta">近期研究兴趣</span>
</div>
<span class="entry-sub">方向:Data-Centric AI & Composed Image Retrieval (CIR)</span>
<ul>
<li><strong>数据管线</strong>:基于 GLM-4/GPT-4o API 构建高并发数据清洗与生成管线,构造大规模高质量图文指令数据。</li>
<li><strong>高效微调</strong>:利用 <strong>LoRA</strong> 对开源 MLLM (如 LLaVA/Qwen-VL) 进行微调,探究合成数据 Scaling Law,显著提升零样本检索能力。</li>
</ul>
</div>
</section>
<section>
<h2>学术成果</h2>
<div class="card" style="border-left: 4px solid var(--accent);">
<span class="tag blue">Under Review</span>
<strong>Mingyu Liu</strong>, et al. "Structure-Aware Optimal Transport for RGB-Infrared Group Re-Identification."
Submitted to <strong>IEEE TCSVT</strong>.
</div>
</section>
<section>
<h2>技术栈</h2>
<div class="skills-grid">
<div class="skill-box">
<span class="skill-name">深度学习</span>
<span class="skill-desc">PyTorch, MLLM (LLaVA/Qwen), Transformers (ViT), CNNs</span>
</div>
<div class="skill-box">
<span class="skill-name">算法 & 理论</span>
<span class="skill-desc">Optimal Transport, Data Synthesis, PEFT (LoRA), RAG</span>
</div>
<div class="skill-box">
<span class="skill-name">通用技能</span>
<span class="skill-desc">Linux, Python, Git, LaTeX, API Engineering</span>
</div>
</div>
</section>
<section>
<h2>近期规划</h2>
<div class="card">
<ul>
<li>深入研究 MLLM 在复杂视觉推理任务中的应用,探索更高效的数据合成范式。</li>
<li>扎实数理基础,强化深度学习与最优传输理论的数学推导能力。</li>
<li>寻找 2026 暑期科研实习机会 (Research Intern),继续在 CV/MLLM 领域探索。</li>
</ul>
</div>
</section>
</div>
<div id="content-en" class="lang-content">
<header>
<img src="2.jpg" alt="Mingyu Liu" class="avatar">
<h1>Mingyu Liu</h1>
<p class="subtitle">CS Undergraduate @ SYSU / Exploring CV & MLLM</p>
<div class="social-links">
<a href="https://github.com/rgefg" target="_blank" class="pill">
<i class="fa-brands fa-github"></i> GitHub
</a>
<span class="pill">
<i class="fa-regular fa-envelope"></i> liumy226@mail2.sysu.edu.cn
<i class="fas fa-copy copy-icon" onclick="copyText('liumy226@mail2.sysu.edu.cn')"></i>
</span>
<span class="pill">
<i class="fa-brands fa-weixin"></i> AttenT1on11
<i class="fas fa-copy copy-icon" onclick="copyText('AttenT1on11')"></i>
</span>
<span class="pill">
<strong style="color: #ff2442;">Red</strong> ID: 314698851
<i class="fas fa-copy copy-icon" onclick="copyText('314698851')"></i>
</span>
</div>
</header>
<section>
<h2>Education</h2>
<div class="card">
<div class="entry-head">
<h3 class="entry-title">Sun Yat-sen University</h3>
<span class="entry-meta">2023.09 – 2027.06</span>
</div>
<span class="entry-sub">B.Eng. Student in Computer Science (Junior Year)</span>
<ul>
<li><strong>Ranking</strong>: Top 17% | CET-6: 570.</li>
<li><strong>Awards</strong>: 2nd Prize (Guangdong) in National College Math Competition.</li>
</ul>
</div>
</section>
<section>
<h2>Research Experience</h2>
<div class="card">
<div class="entry-head">
<h3 class="entry-title">ISEE Lab | Research Assistant</h3>
<span class="entry-meta">Jul 2025 – Present</span>
</div>
<span class="entry-sub">Topic: RGB-IR Group Re-Identification</span>
<ul>
<li>Proposed <strong>Structure-Aware Optimal Transport (SAOT)</strong> to address modality gaps and dynamic group layouts.</li>
<li>Modeled group matching as an OT problem, achieving <strong>10×</strong> speedup and <strong>70.56%</strong> Rank-1 accuracy (SOTA).</li>
</ul>
</div>
<div class="card">
<div class="entry-head">
<h3 class="entry-title">MLLM Data Synthesis & Fine-tuning</h3>
<span class="entry-meta">Recent Interest</span>
</div>
<span class="entry-sub">Focus: Data-Centric AI & Composed Image Retrieval (CIR)</span>
<ul>
<li><strong>Data Pipeline</strong>: Engineered high-concurrency pipelines (GLM-4/GPT-4o) to synthesize large-scale instruction data.</li>
<li><strong>Efficient Tuning</strong>: Utilized <strong>PEFT (LoRA)</strong> to fine-tune MLLMs (LLaVA/Qwen), improving zero-shot retrieval capabilities.</li>
</ul>
</div>
</section>
<section>
<h2>Publications</h2>
<div class="card" style="border-left: 4px solid var(--accent);">
<span class="tag blue">Under Review</span>
<strong>Mingyu Liu</strong>, et al. "Structure-Aware Optimal Transport for RGB-Infrared Group Re-Identification."
Submitted to <strong>IEEE TCSVT</strong>.
</div>
</section>
<section>
<h2>Skills</h2>
<div class="skills-grid">
<div class="skill-box">
<span class="skill-name">Deep Learning</span>
<span class="skill-desc">PyTorch, MLLM (LLaVA/Qwen), Transformers (ViT)</span>
</div>
<div class="skill-box">
<span class="skill-name">Data & Algo</span>
<span class="skill-desc">Optimal Transport, Data Synthesis, PEFT (LoRA), RAG</span>
</div>
<div class="skill-box">
<span class="skill-name">Tools</span>
<span class="skill-desc">Linux, Python, Git, LaTeX, API Engineering</span>
</div>
</div>
</section>
<section>
<h2>Plan</h2>
<div class="card">
<ul>
<li>Explore efficient data synthesis paradigms for MLLMs in complex visual reasoning.</li>
<li>Solidify mathematical foundations in Deep Learning and Optimal Transport theory.</li>
<li>Seek 2026 Summer Research Internship opportunities in CV/MLLM.</li>
</ul>
</div>
</section>
</div>
</div>
<footer>
<p>© 2025 Mingyu Liu. Last updated: Dec 2025.</p>
</footer>
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