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     <img src="./LongTao.png" alt="Md Hasanur Rahman" style="float:left;width:200px;height: 200px;object-fit: cover;overflow:hidden;">
     <h5 style="width:150px;align-self:center">Longtao Zhang</h5>
   </div>
+
+  <div style="display:flex;flex-direction:column;margin:5px;">
+    <img src="./YuxiaoLi.png" alt="Md Hasanur Rahman" style="float:left;width:200px;height: 200px;object-fit: cover;overflow:hidden;">
+    <h5 style="width:150px;align-self:center">Yuxiao Li</h5>
+  </div>
 </div>
 
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@@ -17,6 +17,9 @@ This page presents the publications about SZ from the core group as well as publ
 <br />
 <ul>
 <li>
+[VIS'24]Y. Li, X. Liang, B. Wang, Y. Qiu, L. Yan and H. Guo, "MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors," in IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2024.3456337.
+</li>
+<li>
 [VLDB’22] Sian Jin, Chengming Zhang, Jiannan Tian, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao. “COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.” The 48th International Conference on Very Large Data Bases (VLDB), Australia, September 5-9, 2022.
 </li>
 <li>