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<h1>Quanxing Zha <font face="华文楷体">(查全兴)</font>
</h1>
<h2>A Second-year Master Student</h2>
<div class="article-style">
<p><br>
<strong>Affiliation: </strong> <a href="https://faculty.hqu.edu.cn/starxliu">Media Analysis and Data Mining Group</a> <br>
<span> </span><a href="https://cst.hqu.edu.cn">- Department of Computer Science and Technology</a> <br>
<!-- <span> </span><a href="https://hcdata.nju.edu.cn/">- National Institute of Healthcare Data Science</a><br> -->
<!-- <span> </span><a href="http://keysoftlab.nju.edu.cn/">- State Key Laboratory for Novel Software Technology</a> <br> -->
<span> </span><a href="https://www.hqu.edu.cn//">- Huaqiao University</a>, Xiamen 361021, China <br>
<strong>E-mail: </strong> [email protected] <br>
<strong>Supervisor: </strong> Professor <a
href="https://faculty.hqu.edu.cn/starxliu">Xin Liu</a>
</p>
<p style="color:red;">
🔔🔥 I am currently looking for exciting PhD opportunities. If you know of any openings or can connect me with potential advisors,
please feel free to reach out of me. I would greatly appreciate your help! 🔥🔔
</p>
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<h1 class="mb-0">About Me</h1>
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<p>I am currently a Second-year master student in <a href="https://cst.hqu.edu.cn">Department of Computer Science and Teconology</a> at <a
href="http://www.hqu.edu.cn/">Huaqiao University</a>
and a member of <a href="https://faculty.hqu.edu.cn/starxliu">Media Analysis and Data Mining Group</a> led by <a href="https://faculty.hqu.edu.cn/starxliu">Prof. Xin Liu</a>,
fortunately supervised by <a href="https://faculty.hqu.edu.cn/starxliu">Prof. Xin Liu</a>.
My research interest lies in noisy correspondence learning, multimodal learning, multimodal retrieval-augmented generation and large multimodal models.
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<li><i class="fa-li fas fa-laptop"></i>Noisy Correspondence Learning</li>
<li><i class="fa-li fas fa-laptop"></i>Multimodal Learning</li>
<li><i class="fa-li fas fa-laptop"></i>Multimodal Retrieval-augmented Generation</li>
<li><i class="fa-li fas fa-laptop"></i>Large Multimodal Models</li>
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<p class="institution">Huaqiao University, 2023 - Present</p>
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<h1 class="mb-0">Publications</h1>
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<code class="language-plaintext custom-tag" >SIGIR 2024</code>
<!-- <i class="fas fa-file-alt pub-icon" aria-hidden="true"></i> -->
<!-- <a href="/publication/genloco_hb/" >-->
<a href="https://dl.acm.org/doi/10.1145/3626772.3657806" target="_blank" rel="noopener">
UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching</a>
<div class="article-metadata">
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024. <br>
<span class="author-highlighted">
Quanxing Zha</span>, <span>
Xin Liu</span>, <span>
Yiu-ming Cheung</span>, <span>
Xing Xu</span>, <span>
Nannan Wang</span>, <span>
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