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<!DOCTYPE html>
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<h1>Shumeng Li <font face="华文楷体">(李姝萌)</font></h1>
<h2>PhD Student</h2>
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<p><br>
<a href="https://cs.nju.edu.cn/rl/index.htm">Reasoning & Learning Group</a> <br>
<a href="https://cs.nju.edu.cn/main.htm">Department of Computer Science and Technology</a> <br>
<a href="https://hcdata.nju.edu.cn/">National Institute of Healthcare Data Science</a> <br>
<a href="http://keysoftlab.nju.edu.cn/">National Key Laboratory for Novel Software Technology</a> <br>
<a href="https://www.nju.edu.cn/">Nanjing University</a>, Nanjing 210023, China <br>
<strong>Supervisor: </strong> Associate Professor <a href="https://cs.nju.edu.cn/shiyh/index.htm">Yinghuan Shi</a></p>
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<p>I am currently a PhD student in Department of Computer Science and Technology at <a href="http://www.nju.edu.cn/">Nanjing University</a>
and a member of <a href="https://cs.nju.edu.cn/rl/index_eng.htm">Reasoning & Learning Group</a>,
fortunately supervised by <a href="https://cs.nju.edu.cn/shiyh/index.htm">Prof. Yinghuan Shi</a>.
My research interest lies in computer vision and biomedical image analysis.
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<li>Computer Vision</li>
<li>Biomedical Image Analysis</li>
<li>Artificial Intelligence</li>
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<p class="course">PhD student in Computer Science and Technology</p>
<p class="institution">Nanjing University, 2023-</p>
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<p class="institution">Nanyang Technological University (NTU), 2020-2021</p>
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<p class="course">BEng in Computer Science and Technology</p>
<p class="institution">Xiamen University, 2016-2020</p>
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<!-- <a href="/publication/genloco_hb/" >-->
<a href="https://arxiv.org/abs/2303.13090" target="_blank" rel="noopener">
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation</a>
<div class="article-metadata">
<br> IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. <br>
<span >
Heng Cai</span>, <span class="author-highlighted">
Shumeng Li</span>, <span >
Lei Qi</span>, <span >
Qian Yu</span>, <span >
Yinghuan Shi</span>, <span >
Yang Gao</span>.
</div>
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PDF
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Code
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<a href="https://ieeexplore.ieee.org/document/9906305/;jsessionid=ou9d30951p8DO2KNvc_Co836WTRMceiRiuuPO5DqBf8uK9b7wBRn!35357257" target="_blank" rel="noopener">
PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation</a>
<div class="article-metadata">
<br> IEEE Transactions on Medical Imaging (TMI), 2022. <br>
<span >
<span class="author-highlighted">
Shumeng Li</span>, <span >
Heng Cai</span>, <span >
Lei Qi</span>, <span >
Qian Yu</span>, <span >
Yinghuan Shi</span>, <span >
Yang Gao</span>.
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<b><font face="华文楷体">(南京市鼓楼区汉口路22号, 南京大学, 鼓楼校区, 健康医疗大数据国家研究院, 210008.)</font></b></p >
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