July

author/he-zhao/index.html

@@ -506,6 +506,21 @@ <h2>He Zhao</h2>
 
 
 
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+        <li>
+          <a href="mailto:he[dot]zhao[at]ieee[dot]org" >
+            <i class="fas fa-envelope big-icon"></i>
+          </a>
+        </li>
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index.html

@@ -565,6 +565,21 @@ <h2>He Zhao</h2>
 
 
 
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+        <li>
+          <a href="mailto:he[dot]zhao[at]ieee[dot]org" >
+            <i class="fas fa-envelope big-icon"></i>
+          </a>
+        </li>
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+
 
 
 
@@ -675,6 +690,9 @@ <h1>Selected publications</h1>
             <div class="text-left">V. Vo, <strong>H. Zhao</strong>, T. Le, E. V. Bonilla, D. Phung</div>
 
 
+            <div class="text-left"><a href="https://openreview.net/forum?id=09Robz3Ppy" target="_blank" rel="noopener">link</a>, 
+<a href="https://github.com/isVy08/OTM" target="_blank" rel="noopener">code</a></div>
+
 
 
         </div>
@@ -692,6 +710,9 @@ <h1>Selected publications</h1>
             <div class="text-left">V. Vo, T. Le, L. T. Vuong, <strong>H. Zhao</strong>, E. V. Bonilla, D. Phung</div>
 
 
+            <div class="text-left"><a href="https://openreview.net/forum?id=kXde6Qa6Uy" target="_blank" rel="noopener">link</a>, 
+<a href="https://github.com/isVy08/OTP" target="_blank" rel="noopener">code</a></div>
+
 
 
         </div>
@@ -709,6 +730,9 @@ <h1>Selected publications</h1>
             <div class="text-left">J. Gao, <strong>H. Zhao</strong>, D. Guo, H Zha</div>
 
 
+            <div class="text-left"><a href="https://openreview.net/forum?id=Hjwx3H6Vci" target="_blank" rel="noopener">link</a>, 
+<a href="https://github.com/JintongGao/DisA" target="_blank" rel="noopener">code</a></div>
+
 
 
         </div>
@@ -1160,6 +1184,26 @@ <h1>Selected publications</h1>
 
 
 
+            <div class="text-left">[<strong>AISTATS 2018</strong>] Bayesian multi-label learning with sparse features and labels, and label co-occurrences</div>
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+            <div class="text-left"><strong>H. Zhao</strong>, P. Rai, L. Du, W. Buntine</div>
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+            <div class="text-left"><a href="https://proceedings.mlr.press/v84/zhao18b.html" target="_blank" rel="noopener">link</a>, 
+<a href="https://github.com/ethanhezhao/BMLS" target="_blank" rel="noopener">code</a></div>
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+        </div>
+      </div>
+
+      <div class="card experience course">
+        <div class="card-body">
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             <div class="text-left">[<strong>ACML 2017</strong>] A Word Embeddings Informed Focused Topic Model</div>
 
 
@@ -1304,6 +1348,120 @@ <h1>Professional Services</h1>
 
 
 
+        </div>
+      </div>
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+      <div class="card experience course">
+        <div class="card-body">
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+            <div class="text-left"><strong>Recent Talks/Presentations</strong></div>
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+            <div class="text-left">Enhancing Generalisation and Robustness in Deep Learning with Optimal Transport <br /> <em>School of Computer Science and Engineering, UNSW Sydney</em> <br /> 
+<a href="xxx">slides</a> <br /></div>
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+            <div class="text-left">S. Jha, D. Gong, <strong>H. Zhao</strong>, L. Yao</div>
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+        </div>
+      </div>
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+  </div>
+</div>
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+    </div>
+  </section>
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+  <section id="talks" class="home-section wg-papers   "  >
+    <div class="container">
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+<div class="row">
+  <div class="col-12 col-lg-4 section-heading">
+    <h1>Recent Talks</h1>
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+  </div>
+  <div class="col-12 col-lg-8">
+
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+
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+      <div class="card experience course">
+        <div class="card-body">
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+            <div class="text-left">Enhancing Generalisation and Robustness in Deep Learning with Optimal Transport</div>
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+            <div class="text-left">School of Computer Science and Engineering, UNSW Sydney, July 2024</div>
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+            <div class="text-left"><a href="https://drive.google.com/file/d/1Wvi37Wp3wySrhqYbPQL_2MwPGgzR1q2U/view" target="_blank" rel="noopener">slides</a></div>
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+
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+        </div>
+      </div>
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+      <div class="card experience course">
+        <div class="card-body">
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+            <div class="text-left">Learning Deep Representations with Optimal Transport</div>
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+            <div class="text-left">Statistics Seminar, The University of Sydney</div>
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+            <div class="text-left"><a href="https://www.maths.usyd.edu.au/s/scnitm/linhn-StatisticsSeminar-Zhao-Le" target="_blank" rel="noopener">link</a></div>
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         </div>
       </div>