Update publications.html

publications.html

@@ -20,7 +20,7 @@
 <h2>Preprints | 预印本</h2>
 <ul>
 <li><p><a href="https://arxiv.org/abs/2411.19789">Adjusting auxiliary variables under approximate neighborhood interference</a> <br/>
-Xin Lu*, <b>Y. Wang*</b> and Zhiheng Zhang* (&alpha; - &beta; order) <br/>
+Xin Lu, <b>Y. Wang</b> and Zhiheng Zhang (&alpha;-&beta; order) <br/>
 Under review</p>
 </li>
 </ul>
@@ -49,13 +49,13 @@ <h2>Preprints | 预印本</h2>
 </ul>
 <ul>
 <li><p><a href="https://arxiv.org/abs/2305.04174">Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity</a> <br/>
-Lin Liu*, Xinbo Wang* and <b>Y. Wang*</b> <br/>
+Lin Liu, Xinbo Wang and <b>Y. Wang</b> (&alpha;-&beta; order)<br/>
 Under review</p>
 </li>
 </ul>
 <ul>
 <li><p><a href="https://ssrn.com/abstract=3896229">Profit-driven experimental design</a> <br/>
-<b>Y. Wang*</b> and Weiming Zhu* <br/>
+<b>Y. Wang</b> and Weiming Zhu (&alpha;-&beta; order)<br/>
 Under review</p>
 </li>
 </ul>
@@ -68,7 +68,7 @@ <h2>Journal Publications | 期刊论文</h2>
 </ul>
 <ul>
 <li><p><a href="https://doi.org/10.1093/jrsssb/qkae095">Long-term causal inference under persistent confounding via data combination</a> <br/>
-Guido Imbens*, Nathan Kallus*, Xiaojie Mao* and <b>Y. Wang*</b><br/>
+Guido Imbens, Nathan Kallus, Xiaojie Mao and <b>Y. Wang</b> (&alpha;-&beta; order)<br/>
 <i>Journal of the Royal Statistical Society, Series B (accepted).</i></p>
 </li>
 </ul>
@@ -92,7 +92,7 @@ <h2>Journal Publications | 期刊论文</h2>
 </ul>
 <ul>
 <li><p><a href="https://projecteuclid.org/journals/bernoulli/volume-28/issue-4/Estimation-of-the-math-overflowscroll-alttextell-_2-xmlnshttp/10.3150/21-BEJ1436.short">Estimation of the $\ell_2$-norm and testing in sparse linear regression with unknown variance</a> <br/>
-Alexandra Carpentier*, Olivier Collier*, Laetitia Comminges*, Alexandre B. Tsybakov* and <b>Y. Wang*</b> <br/>
+Alexandra Carpentier, Olivier Collier, Laetitia Comminges, Alexandre B. Tsybakov and <b>Y. Wang</b> (&alpha;-&beta; order)<br/>
 <i>Bernoulli 28.4 (2022): 2744-2787.</i> </p>
 </li>
 </ul>
@@ -110,7 +110,7 @@ <h2>Journal Publications | 期刊论文</h2>
 </ul>
 <ul>
 <li><p><a href="https://link.springer.com/article/10.1134/S0005117919100047">Minimax rate of testing in sparse linear regression</a> <br/> 
-Alexandra Carpentier*, Olivier Collier*, Laetitia Comminges*, Alexandre B. Tsybakov* and <b>Y. Wang*</b> <br/>
+Alexandra Carpentier, Olivier Collier, Laetitia Comminges, Alexandre B. Tsybakov and <b>Y. Wang</b> (&alpha;-&beta; order)<br/>
 <i>Automation and Remote Control 80.10 (2019): 1817-1834. (special issue in memory of Yakov Tsypkin)</i></p>
 </li>
 </ul>