Spaces:
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Running
undefined - Initial Deployment
Browse files- README.md +7 -5
- index.html +370 -19
README.md
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title:
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sdk: static
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: githubpage
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emoji: 🐳
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colorFrom: pink
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colorTo: green
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sdk: static
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pinned: false
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tags:
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- deepsite
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Mingru Huang - Computer Vision Researcher</title>
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<script src="https://cdn.tailwindcss.com"></script>
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
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body {
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font-family: 'Inter', sans-serif;
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scroll-behavior: smooth;
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background-clip: text;
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color: transparent;
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.hero-image {
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clip-path: circle(50% at 50% 50%);
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transition: all 0.3s ease;
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}
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.hero-image:hover {
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transform: scale(1.05);
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box-shadow: 0 10px 25px rgba(0, 0, 0, 0.1);
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}
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.publication-card {
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transition: all 0.3s ease;
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top: 32px;
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width: 2px;
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background: #e5e7eb;
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}
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.news-item {
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position: relative;
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padding-left: 2rem;
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}
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.news-item::before {
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content: '';
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position: absolute;
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left: 0.5rem;
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top: 0.5rem;
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width: 0.75rem;
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height: 0.75rem;
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border-radius: 50%;
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background: #3b82f6;
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}
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</style>
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</head>
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<body class="bg-gray-50 text-gray-800">
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<!-- Navigation -->
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<nav class="bg-white shadow-sm sticky top-0 z-50">
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<div class="max-w-6xl mx-auto px-4 sm:px-6 lg:px-8">
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<div class="flex justify-between h-16">
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<div class="flex items-center">
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<a href="#" class="text-xl font-bold gradient-text">Mingru Huang</a>
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</div>
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<div class="hidden md:flex items-center space-x-8">
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<a href="#about" class="text-gray-700 hover:text-blue-600 transition">About</a>
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<a href="#news" class="text-gray-700 hover:text-blue-600 transition">News</a>
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<a href="#publications" class="text-gray-700 hover:text-blue-600 transition">Publications</a>
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<a href="#contact" class="text-gray-700 hover:text-blue-600 transition">Contact</a>
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</div>
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<div class="md:hidden flex items-center">
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<button id="menu-toggle" class="text-gray-700 focus:outline-none">
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<svg class="h-6 w-6" fill="none" viewBox="0 0 24 24" stroke="currentColor">
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<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M4 6h16M4 12h16M4 18h16"></path>
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</svg>
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</button>
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</div>
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</div>
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</div>
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<!-- Mobile menu -->
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<div id="mobile-menu" class="hidden md:hidden bg-white shadow-lg">
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<div class="px-2 pt-2 pb-3 space-y-1 sm:px-3">
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<a href="#about" class="block px-3 py-2 rounded-md text-base font-medium text-gray-700 hover:text-blue-600 hover:bg-gray-50">About</a>
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<a href="#news" class="block px-3 py-2 rounded-md text-base font-medium text-gray-700 hover:text-blue-600 hover:bg-gray-50">News</a>
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<a href="#publications" class="block px-3 py-2 rounded-md text-base font-medium text-gray-700 hover:text-blue-600 hover:bg-gray-50">Publications</a>
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<a href="#contact" class="block px-3 py-2 rounded-md text-base font-medium text-gray-700 hover:text-blue-600 hover:bg-gray-50">Contact</a>
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</div>
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</div>
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</nav>
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<!-- Hero Section -->
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<section id="about" class="py-12 md:py-20 bg-gradient-to-r from-blue-50 to-purple-50">
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<div class="max-w-6xl mx-auto px-4 sm:px-6 lg:px-8">
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<div class="flex flex-col md:flex-row items-center">
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<div class="md:w-1/3 mb-8 md:mb-0 flex justify-center">
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<img src="https://huangmr0719.github.io/images/portrait.png" alt="Mingru Huang" class="hero-image w-64 h-64 object-cover border-4 border-white shadow-lg">
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</div>
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<div class="md:w-2/3 md:pl-12 text-center md:text-left">
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<h1 class="text-4xl md:text-5xl font-bold mb-4">
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<span class="gradient-text">Hello, I'm Mingru Huang</span>
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</h1>
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<p class="text-lg text-gray-700 mb-6 leading-relaxed">
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I am a Master's degree student at Wuhan University of Technology. I'm passionate about computer vision research, particularly video understanding. My work spans video Q&A, video-text retrieval, and video captioning. I also explore large language models, prompt engineering, operator development, knowledge graphs, and Q&A systems. My goal is to develop an affordable, secure, and trustworthy generalized multimodal video model for everyone.
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</p>
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<div class="flex justify-center md:justify-start space-x-4">
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<a href="https://huangmr0719.github.io/cv.html" class="px-6 py-2 bg-blue-600 text-white rounded-lg hover:bg-blue-700 transition flex items-center">
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<i class="fas fa-file-alt mr-2"></i> CV
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</a>
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<a href="https://scholar.google.com/citations?user=NeFDR38AAAAJ" class="px-6 py-2 bg-gray-800 text-white rounded-lg hover:bg-gray-900 transition flex items-center">
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<i class="fas fa-graduation-cap mr-2"></i> Scholar
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</a>
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<a href="https://github.com/Huangmr0719" class="px-6 py-2 bg-gray-700 text-white rounded-lg hover:bg-gray-800 transition flex items-center">
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<i class="fab fa-github mr-2"></i> GitHub
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</a>
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</div>
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</div>
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</div>
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</div>
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</section>
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<!-- News Section -->
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<section id="news" class="py-12 md:py-20 bg-white">
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<div class="max-w-6xl mx-auto px-4 sm:px-6 lg:px-8">
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<h2 class="text-3xl font-bold text-center mb-12">
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<span class="gradient-text">Latest News</span>
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</h2>
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<div class="grid grid-cols-1 md:grid-cols-2 gap-8">
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<div class="bg-gray-50 p-6 rounded-xl shadow-sm">
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<h3 class="text-xl font-semibold mb-4 text-blue-600">2024</h3>
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<ul class="space-y-4">
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<li class="news-item">
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<span class="font-medium">Nov. 2024:</span> Invited as a reviewer for the ICME2025 conference.
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</li>
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<li class="news-item">
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<span class="font-medium">Aug. 2024:</span> Incorporated a project on automotive maintenance inspection using a multimodal large model.
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</li>
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<li class="news-item">
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<span class="font-medium">Jul. 2024:</span> Joined the SpConv operator optimization project based on MetaX MXMACA computing platform.
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</li>
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<li class="news-item">
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<span class="font-medium">Jun. 2024:</span> Approved for the Chinese Software Copyright "Dermatology Clinical Feature Detection and Diagnosis System".
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</li>
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<li class="news-item">
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<span class="font-medium">May 2024:</span> The paper "ST-CLIP" has been accepted at ICIC 2024 conference.
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</li>
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</ul>
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</div>
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<div class="bg-gray-50 p-6 rounded-xl shadow-sm">
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<h3 class="text-xl font-semibold mb-4 text-blue-600">2023</h3>
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<ul class="space-y-4">
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<li class="news-item">
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<span class="font-medium">Jan. 2024:</span> Invited as a reviewer for the ICME2024 conference.
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</li>
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<li class="news-item">
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<span class="font-medium">Dec. 2023:</span> Joined the school-enterprise cooperation program of Haluo Corporation, responsible for the AI speech generation part.
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</li>
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<li class="news-item">
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<span class="font-medium">Nov. 2023:</span> Completed the Transformer Heterogeneous Bisheng C++ Arithmetic Development Project of Huawei Crowd Intelligence Program.
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</li>
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<li class="news-item">
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<span class="font-medium">Sept. 2023:</span> Joined a video understanding project focused on dense video captioning.
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</li>
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</ul>
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</div>
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</div>
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</div>
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</section>
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<!-- Publications Section -->
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<section id="publications" class="py-12 md:py-20 bg-gray-50">
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<div class="max-w-6xl mx-auto px-4 sm:px-6 lg:px-8">
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<h2 class="text-3xl font-bold text-center mb-12">
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<span class="gradient-text">Publications</span>
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</h2>
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<div class="space-y-8">
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<!-- Publication 1 -->
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<div class="publication-card bg-white p-6 rounded-xl shadow-sm hover:shadow-md transition">
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<div class="flex flex-col md:flex-row">
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<div class="md:w-1/3 mb-4 md:mb-0">
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<img src="https://huangmr0719.github.io/images/skmr.png" alt="Publication Image" class="w-full h-auto rounded-lg">
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</div>
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<div class="md:w-2/3 md:pl-6">
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<h3 class="text-xl font-bold mb-2 text-blue-600">
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<a href="https://github.com/Huangmr0719/MVSA" class="hover:underline">Scene Knowledge Enhanced Multimodal Retrieval Model for Dense Video Captioning</a>
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</h3>
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<p class="text-gray-700 mb-2">
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Mingru Huang, <a href="http://cst.whut.edu.cn/xygk/szdw/201505/t20150527_876872.shtml" class="text-blue-600 hover:underline">Pengfei Duan</a>, Yifang Zhang, Huimin Chen, Jiawang Peng, <a href="http://cst.whut.edu.cn/xygk/szdw/201505/t20150527_876901.shtml" class="text-blue-600 hover:underline">Shengwu Xiong</a>
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</p>
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<p class="text-gray-600 mb-4">
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2025 Twenty-first International Conference on Intelligent Computing (ICIC 2025)
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</p>
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<p class="text-gray-700 mb-4">
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Introducing a Memory Enhanced Visual-Speech Aggregation model for dense video captioning, inspired by cognitive informatics on human memory recall. The model enhances visual representations by merging them with relevant text features retrieved from a memory bank through multimodal retrieval involving transcribed speech and visual inputs.
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</p>
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<div class="flex flex-wrap gap-2">
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LDIT: Pseudo-Label Noise Adaptation via Label Diffusion Transformer
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Jiawang Peng, <a href="http://cst.whut.edu.cn/xygk/szdw/201505/t20150527_876872.shtml" class="text-blue-600 hover:underline">Pengfei Duan</a>, Mingru Huang, <a href="http://cst.whut.edu.cn/xygk/szdw/201505/t20150527_876901.shtml" class="text-blue-600 hover:underline">Shengwu Xiong</a>
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2025 Twenty-first International Conference on Intelligent Computing (ICIC 2025)
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We reformulate label prediction as a progressive refinement process starting from an initial random guess, and propose LDiT (Label Diffusion Transformer) for pseudo-label noise adaptation. By modeling label uncertainty through a diffusion process, LDiT enables more robust learning under noisy supervision. In addition, to effectively capture the long-range dependencies in textual data, we adopt a Transformer-based latent denoising architecture with self-attention mechanisms.
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Huimin Chen, <a href="http://cst.whut.edu.cn/xygk/szdw/201505/t20150527_876872.shtml" class="text-blue-600 hover:underline">Pengfei Duan</a>, Mingru Huang, Jingyi Guo, <a href="http://cst.whut.edu.cn/xygk/szdw/201505/t20150527_876901.shtml" class="text-blue-600 hover:underline">Shengwu Xiong</a>
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2024 Twentieth International Conference on Intelligent Computing (ICIC 2024)
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Proposing a new factorized spatio-temporal self-attention paradigm to address inaccurate event descriptions caused by insufficient temporal relationship modeling between video frames and apply it to dense video captioning tasks.
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