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</head><body class="is-3-column"><nav class="navbar navbar-main"><div class="container navbar-container"><div class="navbar-brand justify-content-center"><a class="navbar-item navbar-logo" href="/"><img src="/img/agumon.svg" alt="Rick Universe" height="28"></a></div><div class="navbar-menu"><div class="navbar-start"><a class="navbar-item" href="/rick">RICK UNIVERSE</a><a class="navbar-item is-active" href="/curriculum">Curriculum</a><a class="navbar-item" href="/">BLOG</a><a class="navbar-item" href="/life">LIFE</a><a class="navbar-item" href="/archives">ARCHIVES</a><a class="navbar-item" href="/categories">CATEGORIES</a><a class="navbar-item" href="/tags">TAGS</a><a class="navbar-item" href="/about">ABOUT</a></div><div class="navbar-end"><a class="navbar-item" target="_blank" rel="noopener" title="Download on GitHub" href="https://github.com/ppoffice/hexo-theme-icarus"><i class="fab fa-github"></i></a><a class="navbar-item search" title="Search" href="javascript:;"><i class="fas fa-search"></i></a></div></div></div></nav><section class="section"><div class="container"><div class="columns"><div class="column order-2 column-main is-8-tablet is-8-desktop is-6-widescreen"><div class="card"><article class="card-content article" role="article"><h1 class="title is-3 is-size-4-mobile">Curriculum</h1><div class="content"> | ||
</head><body class="is-3-column"><nav class="navbar navbar-main"><div class="container navbar-container"><div class="navbar-brand justify-content-center"><a class="navbar-item navbar-logo" href="/"><img src="/img/agumon.svg" alt="Rick Universe" height="28"></a></div><div class="navbar-menu"><div class="navbar-start"><a class="navbar-item" href="/rick">RICK UNIVERSE</a><a class="navbar-item is-active" href="/curriculum">Curriculum</a><a class="navbar-item" href="/">BLOG</a><a class="navbar-item" href="/life">LIFE</a><a class="navbar-item" href="/archives">ARCHIVES</a><a class="navbar-item" href="/categories">CATEGORIES</a><a class="navbar-item" href="/tags">TAGS</a><a class="navbar-item" href="/about">ABOUT</a></div><div class="navbar-end"><a class="navbar-item" target="_blank" rel="noopener" title="Download on GitHub" href="https://github.com/ppoffice/hexo-theme-icarus"><i class="fab fa-github"></i></a><a class="navbar-item search" title="Search" href="javascript:;"><i class="fas fa-search"></i></a></div></div></div></nav><section class="section"><div class="container"><div class="columns"><div class="column order-2 column-main is-8-tablet is-8-desktop is-6-widescreen"><div class="card"><article class="card-content article" role="article"><h1 class="title is-3 is-size-4-mobile">Curriculum</h1><div class="content"><h2 id="personal-summary">Personal Summary:</h2> | ||
<p>I typically program in Python and use C++/C to implement AI | ||
algorithms in practical tools.</p> | ||
<p>Mathematically, I am familiar with AI-related linear algebra and | ||
probability and statistics theory, and have taken courses in image | ||
analysis and deep learning.</p> | ||
<p>I am proficient in deep generative models such as GANs, VAEs, and | ||
VQVAEs, and have explored various perception algorithms in image | ||
detection and segmentation, image restoration, and BEV detection. I can | ||
skillfully construct solutions and perform original designs. I am | ||
familiar with the entire process of engineering deployment of neural | ||
networks, including lightweight network design, model compression, and | ||
optimization for deployment. I have independently published academic | ||
papers and can rapidly apply advancements from academia to business and | ||
execute them engineeringly. I have a rich passion for the research and | ||
development of new technologies.</p> | ||
<h1 id="career">Career</h1> | ||
<h2 id="section">2023.4 - 2024.4</h2> | ||
<p>I work at <a target="_blank" rel="noopener" href="https://www.evas.ai/">EVAS</a>, where I am | ||
primarily responsible for the research and deployment of 2D vision and | ||
BEV-based detection networks. I also handle the quantization | ||
acceleration of neural networks, which is very common and important in | ||
edge-side algorithm deployment. Efficient neural networks are crucial in | ||
real-world production environments.</p> | ||
<h1 id="education">Education</h1> | ||
<h2 id="section-1">2020.9-203.6</h2> | ||
<p>I study at <a target="_blank" rel="noopener" href="https://bmec.ustc.edu.cn/">BMEC of USTC</a>. My | ||
research focuses on solving MRI image reconstruction problems using | ||
neural networks. My main achievements include improving generative | ||
models and designing lightweight transformer networks for image | ||
reconstruction.</p> | ||
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