new

group.html

@@ -505,6 +505,7 @@ <h2>Undergraduate Students</h2>
                             <li> Henry Castillo, CS@UT Austin, Aug 2022 - present </li>
                             <li> Jinze Zhao, ECE@UT Austin, Aug 2023 - present </li>
                             <li> Jonathan Liu, CS@UT Austin, Dec 2023 - present </li>
+                            <li> Jamie Mahowald, Math@UT Austin, May 2024 - present </li>
                         </ul>
                     <!-- </div> -->
                 </div>

index.html

@@ -183,6 +183,7 @@ <h2>News</h2>
                         <ul style="margin-bottom:5px">
                             <li> 1 TMLR (amortized 3D Gaussians) accepted</li> 
                             <li>Our group co-organized the MICCAI 2024 Challenge on <a href="https://bionlplab.github.io/2024_MICCAI_CXRLT/">Long-tailed, Multi-label, and Zero-shot Classification on Chest X-rays (CXR-LT)</a></li>
+                            <li> We thank Matthew Berman for the very cool video <a href="https://youtu.be/FDrLWjLxBFw?si=KDM80BRUARuBBLTm">[Youtube]</a> highlighting our latest work, OpenAI o1 planning benchmark <a href="https://arxiv.org/abs/2409.19924">[Paper]</a> <a href="https://github.com/VITA-Group/o1-planning">[Code]</a></li> 
                     </ul>
 
                     <b style="color:rgb(68, 68, 68)">[Sep. 2024]</b>

publication.html

@@ -216,9 +216,9 @@ <h2>Conference Paper</h2>
                             <li>H. Lu, Y. Zhou, S. Liu*, Z. Wang, M. Mahoney, and Y. Yang<br> <b style="color:rgb(71, 71, 71)">“AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models"</b><br>Advances in Neural Information Processing Systems (NeurIPS), 2024. <a href="">[Paper]</a> <a href="">[Code] </a> 
 
                             <li>X. Zhao, G. Sun, R. Cai*, Y. Zhou, P. Li, P. Wang*, B. Tan, Y. He, L. Chen, Y. Liang, B. Chen, B. Yuan, H. Wang, A. Li, Z. Wang, and T. Chen*<br> <b style="color:rgb(71, 71, 71)">“Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild”</b><br>Advances in Neural Information Processing Systems, Track on Datasets and Benchmarks (NeurIPS D & B), 2024. <a href="">[Paper]</a> <a href="">[Code] </a>  </li>
-                            <li>Z. Zhu*, Z. Fan*, Y. Jiang*, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">“FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting”</b><br>European Conference on Computer Vision (ECCV), 2024. <a href="https://arxiv.org/abs/2312.00451">[Paper]</a> <a href="https://github.com/VITA-Group/FSGS">[Code] </a> </li>
-                            <li>S. Zhou, Z. Fan*, D. Xu*, H. Chang, P. Chari, T. Bharadwaj, S. You, Z. Wang, and A. Kadambi<br> <b style="color:rgb(71, 71, 71)">“DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting”</b><br>European Conference on Computer Vision (ECCV), 2024. <a href="https://arxiv.org/abs/2404.06903">[Paper]</a> <a href="https://dreamscene360.github.io/">[Code] </a> </li>
-                            <li>R. Li, Z. Fan*, B. Wang, P. Wang*, Z. Wang, and X. Wu<br> <b style="color:rgb(71, 71, 71)">“VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting”</b><br>European Conference on Computer Vision (ECCV), 2024. <a href="">[Paper]</a> <a href="">[Code] </a> </li>
+                            <li>Z. Zhu*, Z. Fan*, Y. Jiang*, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">“FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting”</b><br>European Conference on Computer Vision (ECCV), 2024. <a href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/05583.pdf">[Paper]</a> <a href="https://github.com/VITA-Group/FSGS">[Code] </a> </li>
+                            <li>S. Zhou, Z. Fan*, D. Xu*, H. Chang, P. Chari, T. Bharadwaj, S. You, Z. Wang, and A. Kadambi<br> <b style="color:rgb(71, 71, 71)">“DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting”</b><br>European Conference on Computer Vision (ECCV), 2024. <a href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00996.pdf">[Paper]</a> <a href="https://dreamscene360.github.io/">[Code] </a> </li>
+                            <li>R. Li, Z. Fan*, B. Wang, P. Wang*, Z. Wang, and X. Wu<br> <b style="color:rgb(71, 71, 71)">“VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting”</b><br>European Conference on Computer Vision (ECCV), 2024. <a href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/03032.pdf">[Paper]</a> <a href="https://versatilegaussian.github.io/">[Code] </a> </li>
                             <li>Q. Li, J. Hong*, C. Xie, J. Tan, R. Xin, J. Hou, X. Yin, Z. Wang, D. Hendrycks, Z. Wang, B. Li, B. He, and D. Song<br> <b style="color:rgb(71, 71, 71)">“LLM-PBE: Assessing Data Privacy in Large Language Models”</b><br>International Conference on Very Large Data Bases (VLDB), 2024. (Best Paper Finalist)  <a href="https://www.vldb.org/pvldb/vol17/p3201-li.pdf">[Paper]</a> <a href="https://llm-pbe.github.io/home">[Code] </a> </li>
                             <li>L. Sun*, N. Bhatt*, J. Liu*, Z. Fan*, Z. Wang, T. Humphreys, and U. Topcu<br> <b style="color:rgb(71, 71, 71)">“MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements”</b><br>IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024. <a href="https://arxiv.org/abs/2404.00923">[Paper]</a> <a href="https://github.com/VITA-Group/MM3DGS-SLAM">[Code] </a> </li>
                             <li>R. Cai*, S. Muralidharan, G. Heinrich, H. Yin, Z. Wang, J. Kautz, and P. Molchanov<br> <b style="color:rgb(71, 71, 71)">“Flextron: Many-in-One Flexible Large Language Model”</b><br>International Conference on Machine Learning (ICML), 2024. (Oral) <a href="https://openreview.net/pdf?id=9vKRhnflAs">[Paper]</a> <a href="">[Code] </a> </li>