Paper updates

illidanlab · Jan 18, 2024 · eae7750 · eae7750
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@@ -281,7 +281,7 @@ <h6 class="docs-header">Friends</h6>
 
 
     <div class="docs-section" id="publication">
-      <h6 class="docs-header">Preprints</h6>
+      <h6 class="docs-header">Recent Preprints</h6>
       <ul>
         <li><i>Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning. </i><br>
             Xiaodan Zhang, Sandeep Vemulapalli, Nabasmita Talukdar, Sumyeong Ahn, Jiankun Wang, Han Meng, Sardar Mehtab Bin Murtaza, Aakash Ajay Dave, Dmitry Leshchiner, Dimitri F. Joseph, Martin Witteveen-Lane, Dave Chesla, Jiayu Zhou, Bin Chen. <br>
@@ -292,28 +292,19 @@ <h6 class="docs-header">Preprints</h6>
             Shuyang Yu, Junyuan Hong, Yi Zeng, Fei Wang, Ruoxi Jia, Jiayu Zhou. <br>
             Preprint, 2023 <a href="https://arxiv.org/abs/2312.03205" target="_blank">[arXiv]</a>
         </li>
-
-        <li><i>Persona Authentication through Generative Dialogue. </i><br>
-            Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou. <br>
-            Preprint, 2021 <a href="https://arxiv.org/abs/2110.12949" target="_blank">[arXiv]</a>
-        </li>
-
-        <li><i>Differentially Private Generative Adversarial Network. </i><br>
-            Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, and Jiayu Zhou. <br>
-            Preprint, 2018 <a href="https://arxiv.org/abs/1802.06739" target="_blank">[arXiv]</a>
-        </li>
-
-        <li><i>Collaborative Deep Reinforcement Learning. </i><br>
-            Kaixiang Lin, Shu Wang, and Jiayu Zhou. <br>
-            Preprint, 2017 <a href="https://arxiv.org/pdf/1702.05796.pdf" target="_blank">[PDF]</a>
-        </li>
       </ul>
 
       <h6 class="docs-header">Selected Publications</h6>
       <ul>
+
         <li><i>Safe and Robust Watermark Injection with a Single OoD Image. </i><br>
             Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, and Jiayu Zhou. <br>
-             <b>ICLR</b> 2024. <a href="https://arxiv.org/abs/2309.01786" target="_blank">[accepted]</a>
+             <b>ICLR</b> 2024. <a href="https://openreview.net/forum?id=PCm1oT8pZI" target="_blank">[paper]</a>
+        </li>
+
+        <li><i>Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. </i><br>
+            Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, and Fei Wang. <br>
+             <b>Patterns</b> 2024. <a href="https://www.cell.com/patterns/pdf/S2666-3899(23)00322-7.pdf" target="_blank">[paper]</a>
         </li>
 
         <li><i>Comparison of Prompt Engineering and Fine-Tuning Strategies in Large
@@ -324,7 +315,7 @@ <h6 class="docs-header">Selected Publications</h6>
 
         <li><i>Federated Learning's Blessing: FedAvg has Linear Speedup. </i><br>
             Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, and Zhengyuan Zhou. <br>
-             Journal of Artificial Intelligence Research, 2023 <a href="https://arxiv.org/abs/2007.05690" target="_blank">[accepted]</a>
+             Journal of Artificial Intelligence Research, 2023 <a href="https://www.jair.org/index.php/jair/article/view/15180" target="_blank">[paper]</a>
         </li>
 
         <li><i>Understanding Deep Gradient Leakage via Inversion
@@ -440,6 +431,11 @@ <h6 class="docs-header">Selected Publications</h6>
             <b>AAAI</b> 2022. <a href="https://ojs.aaai.org/index.php/AAAI/article/view/20914" target="_blank">[paper]</a>
         </li>
 
+        <li><i>Persona Authentication through Generative Dialogue. </i><br>
+            Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou. <br>
+            Preprint, 2021 <a href="https://arxiv.org/abs/2110.12949" target="_blank">[arXiv]</a>
+        </li>
+
         <li><i>FedDL: Federated Learning via Dynamic Layer Sharing for Human Activity Recognition. </i><br>
             Linlin Tu, Xiaomin Ouyang, Jiayu Zhou,, Yuze He, and Guoliang Xing. <br>
             <b>SenSys</b> 2021 <a href="https://dl.acm.org/doi/10.1145/3485730.3485946" target="_blank">[paper]</a> 
@@ -575,6 +571,11 @@ <h6 class="docs-header">Selected Publications</h6>
             <b>AAAI</b> 2019. 
         </li>
 
+        <li><i>Differentially Private Generative Adversarial Network. </i><br>
+            Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, and Jiayu Zhou. <br>
+            Preprint, 2018 <a href="https://arxiv.org/abs/1802.06739" target="_blank">[arXiv]</a>
+        </li>
+
         <li><i>Boosted Sparse and Low-Rank Tensor Regression. </i><br>
             Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, and Fei Wang. <br>
             <b>NIPS</b> 2018. <a href="https://papers.nips.cc/paper/7379-boosted-sparse-and-low-rank-tensor-regression.pdf" target="_blank">[Paper]</a>
@@ -650,6 +651,11 @@ <h6 class="docs-header">Selected Publications</h6>
             <b>SDM</b> 2018 <a href="https://epubs.siam.org/doi/abs/10.1137/1.9781611975321.33" target="_blank">[Paper]</a>
         </li>
 
+        <li><i>Collaborative Deep Reinforcement Learning. </i><br>
+            Kaixiang Lin, Shu Wang, and Jiayu Zhou. <br>
+            Preprint, 2017 <a href="https://arxiv.org/pdf/1702.05796.pdf" target="_blank">[PDF]</a>
+        </li>
+
         <li><i>Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction.</i><br>
             Tao Zeng, Bian Wu, Jiayu Zhou, Ian Davidson, and Shuiwang Ji.<br>
             <b>ICDM</b> 2017 <a href="https://www.computer.org/csdl/proceedings/icdm/2017/3835/00/3835b165.pdf" target="_blank">[Paper]</a>