UESTC-IA.github.io/research.html at master · UESTC-IA/UESTC-IA.github.io · GitHub

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    <title>研究方向 | UESTC IA</title>
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      <div class="title-block mb-10"><div class="title-en">Research Tracks</div><h1 class="text-4xl font-bold">研究方向</h1><p>围绕 AI for Science 的跨学科问题，形成方法、工程与应用三层协同。</p></div>

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        <article class="card-core p-6"><p class="title-en text-sm mb-2">AI Methods</p><h2 class="text-2xl font-bold mb-2">AI 方法论</h2><p class="mb-4">聚焦多模态建模、参数高效微调、可解释学习与稳健评估。</p><div class="flex flex-wrap gap-2 text-xs"><span class="badge">PyTorch</span><span class="badge">LLM</span><span class="badge">XAI</span></div></article>
        <article class="card-core p-6"><p class="title-en text-sm mb-2">Science</p><h2 class="text-2xl font-bold mb-2">科学智能</h2><p class="mb-4">将机器学习方法用于生物、材料和复杂系统中的数据驱动发现。</p><div class="flex flex-wrap gap-2 text-xs"><span class="badge">Data Mining</span><span class="badge">Simulation</span><span class="badge">Discovery</span></div></article>
        <article class="card-core p-6"><p class="title-en text-sm mb-2">Health</p><h2 class="text-2xl font-bold mb-2">健康与医学</h2><p class="mb-4">在神经信号分析、医学影像与健康监测中推进算法落地。</p><div class="flex flex-wrap gap-2 text-xs"><span class="badge">EEG</span><span class="badge">Medical AI</span><span class="badge">Monitoring</span></div></article>
        <article class="card-core p-6"><p class="title-en text-sm mb-2">Engineering</p><h2 class="text-2xl font-bold mb-2">工程系统</h2><p class="mb-4">强调端到端工程化能力，包括数据管线、部署、评测与迭代。</p><div class="flex flex-wrap gap-2 text-xs"><span class="badge">MLOps</span><span class="badge">Deployment</span><span class="badge">Hardware</span></div></article>
        <article class="card-core p-6"><p class="title-en text-sm mb-2">Finance</p><h2 class="text-2xl font-bold mb-2">金融智能</h2><p class="mb-4">研究风险识别、时序建模与知识增强决策支持。</p><div class="flex flex-wrap gap-2 text-xs"><span class="badge">Time Series</span><span class="badge">Risk</span><span class="badge">Decision</span></div></article>
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