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VITA-Group · Dec 30, 2023 · d801548 · d801548
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diff --git a/index.html b/index.html
@@ -186,6 +186,7 @@ <h2>News</h2>
                     <b style="color:rgb(68, 68, 68)">[Dec. 2023]</b>
                         <ul style="margin-bottom:5px">
                             <li> 1 SatML'24 (generative model privacy) accepted</li> 
+                            <li> 1 TMLR (MoE in contrastive learning) accepted</li> 
                             <li> 1 ICASSP'24 (grounded instruct-pix2pix) accepted</li> 
                     </ul>
 

diff --git a/publication.html b/publication.html
@@ -160,6 +160,7 @@ <h2>Journal Paper</h2>
                     <div class="trend-contents">
                         <ul>
                             <li> W. Chen*, X. Gong*, J. Wu*, Y. Wei, H. Shi, Z. Yan, Y. Yang, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">“Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics”</b><br> IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. <a href="https://arxiv.org/abs/2108.11939">[Paper]</a> <a href="https://github.com/VITA-Group/TEGNAS">[Code]</a></li>
+                            <li> Z. Jiang*, G. Zheng, Y. Cheng, A. Awadallah, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">“CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning”</b><br>Transactions on Machine Learning Research (TMLR), 2023. <a href="https://openreview.net/forum?id=qKIvn9xL1R">[Paper]</a> <a href="">[Code]</a></li>
                             <li>  M. Lin, T. Li, Y. Yang, G. Holste*, Y. Ding, S. Tassel, K. Kovacs, G. Shih, Z. Wang, Z. Lu, F. Wang, and Y. Peng<br> <b style="color:rgb(71, 71, 71)">“Improving Model Fairness in Image-based Computer-Aided Diagnosis”</b><br> Nature Communications, 2023. <a href="https://www.nature.com/articles/s41467-023-41974-4">[Paper]</a> <a href="https://zenodo.org/record/8226443">[Code]</a></li>
                             <li>  Q. Wu*, X. Chen*, Y. Jiang*, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">“Chasing Better Deep Image Priors between Over- and Under-Parameterization”</b><br>Transactions on Machine Learning Research (TMLR), 2023. <a href="https://openreview.net/forum?id=EwJJks2cSa">[Paper]</a> <a href="https://github.com/VITA-Group/Chasing-Better-DIPs">[Code]</a></li>
                             <li> G. Holste*, E. Oikonomou, B. Mortazavi, A. Coppi, K. Faridi, E. Miller, J. Forrest, R. McNamara, L. Ohno-Machado, N. Yuan, A. Gupta, D. Ouyang, H. Krumholz, Z. Wang, and R. Khera<br> <b style="color:rgb(71, 71, 71)">“Severe Aortic Stenosis Detection by Deep Learning Applied to Echocardiography”</b><br>European Heart Journal (EHJ), 2023. <a href="https://academic.oup.com/eurheartj/advance-article/doi/10.1093/eurheartj/ehad456/7248551">[Paper]</a> <a href="https://github.com/CarDS-Yale/echo-severe-AS">[Code]</a></li>

diff --git a/resource.html b/resource.html
@@ -232,7 +232,7 @@ <h2>Courses</h2>
                         <ul>
                             <li>[Spring 2020] <a href="http://people.tamu.edu/~atlaswang/SpringCSCE421.html">TAMU CSCE 421: Machine Learning (undergraduate)</a></li>
                             <li>[Fall 2019] <a href="http://people.tamu.edu/~atlaswang/Fall19CSCE633.html">TAMU CSCE 633: Machine Learning</a></li>
-                            <li>[Summer 2020] <a href="https://sites.usp.br/datascience/spsas-learning-from-data/">Advanced Summer School of Learning from Data</a> (Invited short course at University of Sao Paulo, Brazil) </li>
+                            <li>[Summer 2019] <a href="https://sites.usp.br/datascience/spsas-learning-from-data/">Advanced Summer School of Learning from Data</a> (Invited short course at University of Sao Paulo, Brazil) </li>
                             <li>[Spring 2019] <a href="http://people.tamu.edu/~atlaswang/19CSCE633.html">TAMU CSCE 633: Machine Learning</a></li>
                             <li>[Fall 2018] <a href="http://people.tamu.edu/~atlaswang/18CSCE625.html">TAMU CSCE 625: Artificial Intelligence</a></li>
                             <li>[Summer 2018] <a href="https://www.youtube.com/channel/UCtak5IDFnWfSyVesnJnG3Mg/featured">Recent Advances of Deep Learning in Computer Vision</a> (Invited short course at University of Sao Paulo, Brazil)</li>