2024/10/12

README.md

@@ -1 +1 @@
-# Jialiang-Wang2002
+# Jialiang Wang's Homepage

index.html

@@ -41,7 +41,7 @@ <h1>Jialiang Wang &nbsp; 王嘉良</h1></div>
         <!-- <br>School of Computer Science and Technology -->
         <br>Harbin Institute of Technology
         <br>
-        <br> 📧: cswjl@stu.hit.edu.cn
+        <br> 📧: <code> cswjl[at]stu.hit.edu.cn</code> 
         <br> <b><a href="https://github.com/jia-liang-wang">Github</a></b>
         <br></p>
       </td>
@@ -82,7 +82,7 @@ <h2>Publications</h2>
     <td width="30"></td>
     <td valign="middle"><p><strong>Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data</strong><br>
     Xiong Zhou, Xianming Liu, Hao Yu, <strong>Jialiang Wang</strong>, Zeke Xie, Junjun Jiang, Xiangyang Ji<br>
-    International Conference on Learning Representations <b>(ICLR)</b> 2024<br>
+    <i>International Conference on Learning Representations <b>(ICLR)</b> 2024<br></i>
         <b><a href="https://openreview.net/forum?id=yeeVBMDAwy">Paper</a><b> | 
         <b><a href="https://openreview.net/forum?id=yeeVsBMDAwy">Code</a><b>
     </p></td>
@@ -93,7 +93,7 @@ <h2>Publications</h2>
     <td width="30"></td>
     <td valign="middle"><p><strong>\(\epsilon\)-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise</strong><br>
       <strong>Jialiang Wang*</strong>, Xiong Zhou*, Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu<br>
-      Annual Conference on Neural Information Processing Systems <b>(NeurIPS)</b> 2024<br>
+      <i>Annual Conference on Neural Information Processing Systems <b>(NeurIPS)</b> 2024<br></i>
         <b><a href="https://neurips.cc/virtual/2024/poster/93191">Paper</a><b> | 
         <b><a href="https://github.com/jia-liang-wang/eps-softmax">Code</a><b>
     </p></td>