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@AtlasWang
AtlasWang committed Oct 11, 2023
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17 changes: 12 additions & 5 deletions group.html
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Expand Up @@ -214,8 +214,6 @@ <h2>Postdoctoral Researchers </h2>
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<a href="https://neel1302.github.io/"><img src="groups/Neel.png" width="100%" style="margin:auto"></a>
Expand All @@ -225,9 +223,19 @@ <h2>Postdoctoral Researchers </h2>
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<a href="http://home.ustc.edu.cn/~alexhu/"><img src="groups/Hezhen.jpg" width="100%" style="margin:auto"></a>
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<span class="d-block" style="padding-top:10px"><a
href="http://home.ustc.edu.cn/~alexhu/">Hezhen Hu</a> <br> Ph.D., University of Science and Technology of China, 2023 (Fall 2023 - ) </span>
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Expand Down Expand Up @@ -467,7 +475,6 @@ <h2>Visiting Scholars</h2>
<!-- <div class="row justify-content-md-left" style="margin-top: 0px"> -->
<ul>
<li> <a href="https://simoneangarano.github.io/">Simone Angarano</a>, Ph.D. student in ML at Politecnico di Torino, Italy, Aug 2023 - present </li>
<li> <a href="https://scholar.google.com/citations?user=kcJFhlwAAAAJ&hl=en">Xiaoting Wu</a>, Postdoc researcher in the Center for Machine Vision and Signal Analysis at University of Oulu, Finland, Oct 2023 - present </li>
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Expand Down Expand Up @@ -723,7 +730,7 @@ <h2>Alumni</h2>
<li>Sicheng Wang, CSE@TAMU, M.S. student, Aug 2017 - Dec 2020 (Next Move: Data Scientist, Microsoft)</li>
<li>Scott Hoang, CSE@TAMU, M.S. student, Jan 2019 - May 2021 (Next Move: joining VITA as Ph.D. student) </li>
<li>Rahul Sridhar, CSE@TAMU, M.S. student, Jan 2020 - May 2021 (Next Move: Computer Vision Engineer, Snap Inc.) </li>
<li>Shixin Yu, ECE@UT Austin, M.S. student, Aug 2021 - Aug 2022 (Next Move: Ph.D. student, CS@Cornell University)</li>
<li>Shixin Yu, ECE@UT Austin, M.S. student, Aug 2021 - Aug 2022 (Next Move: Ph.D. student, ECE@Cornell University)</li>
<li>Everardo Olivares-Vargas, CSEM@UT Austin, M.S. student, Aug 2021 - Dec 2022</li>
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7 changes: 7 additions & 0 deletions index.html
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Expand Up @@ -180,6 +180,13 @@ <h2>News</h2>
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<b style="color:rgb(68, 68, 68)">[Oct. 2023]</b>
<ul style="margin-bottom:5px">
<li> 1 IEEE Trans. PAMI (understanding NAS from DL theory) accepted</li>
<li> Our group co-organized the ICCV 2023 Workshop on <a href="https://cvamd2023.github.io/">Computer Vision for Automated Medical Diagnosis (CVAMD)</a></li>
</ul>

<b style="color:rgb(68, 68, 68)">[Sep. 2023]</b>
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<li>7 NeurIPS'23 (Essential sparsity + LLM heavy-hitter oracle + pruning topology + graph MoE + in-context diffusion + patch diffusion + channel-level DST) accepted </li>
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Expand Up @@ -159,7 +159,8 @@ <h2>Journal Paper</h2>
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<ul>
<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="">[Paper]</a> <a href="">[Code]</a></li>
<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> 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>
<li> W. Zheng*, H. Yang, J. Cai, P. Wang*, X. Jiang, S. Du, Y. Wang, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">“Integrating the Traffic Science with Representation Learning for City-Wide Network Congestion Prediction”</b><br>Elsevier Information Fusion, 2023. <a href="https://www.sciencedirect.com/science/article/abs/pii/S1566253523001537">[Paper]</a> <a href="https://github.com/VITA-Group/TinT">[Code]</a></li>
Expand Down Expand Up @@ -204,13 +205,13 @@ <h2>Conference Paper</h2>
<li>Z. Wang, Y. Jiang*, Y. Lu, Y. Shen, P. He, W. Chen, Z. Wang, M. Zhou<br> <b style="color:rgb(71, 71, 71)">"In-Context Learning Unlocked for Diffusion Models”</b><br>Advances in Neural Information Processing Systems (NeurIPS), 2023. (Spotlight) <a href="https://arxiv.org/abs/2305.01115">[Paper]</a> <a href="https://github.com/Zhendong-Wang/Prompt-Diffusion">[Code] </a> </li>
<li>Z. Wang, Y. Jiang*, H. Zheng, P. Wang*, P. He, Z. Wang, W. Chen, M. Zhou<br> <b style="color:rgb(71, 71, 71)">"Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models”</b><br>Advances in Neural Information Processing Systems (NeurIPS), 2023. <a href="https://arxiv.org/abs/2304.12526">[Paper]</a> <a href="">[Code] </a> </li>
<li>L. Yin*, G. Li, M. Fang, L. Shen, T. Huang, Z. Wang, V. Menkovski, X. Ma, M. Pechenizkiy, and S. Liu*<br> <b style="color:rgb(71, 71, 71)">"Dynamic Sparsity Is Channel-Level Sparsity Learner”</b><br>Advances in Neural Information Processing Systems (NeurIPS), 2023. <a href="https://arxiv.org/abs/2305.19454">[Paper]</a> <a href="https://github.com/luuyin/chase">[Code] </a> </li>
<li>W. Cong*, H. Liang*, P. Wang*, Z. Fan*, T. Chen*, M. Varma*, Y. Wang*, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">"Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. <a href="https://arxiv.org/abs/2308.11793">[Paper]</a> <a href="https://github.com/VITA-Group/GNT-MOVE">[Code] </a> </li>
<li>A. Jaiswal*, X. Zhang, S. Chan, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">"Physics-Driven Turbulence Image Restoration with Stochastic Refinement”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. <a href="https://arxiv.org/abs/2307.10603">[Paper]</a> <a href="https://github.com/VITA-Group/PiRN">[Code] </a> </li>
<li>Y. Han*, P. Wang*, S. Kundu, Y. Ding, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">"Vision HGNN: An Image is More than a Graph of Nodes”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. (Oral) <a href="">[Paper]</a> <a href="https://github.com/VITA-Group/ViHGNN">[Code] </a> </li>
<li>W. Cong*, H. Liang*, P. Wang*, Z. Fan*, T. Chen*, M. Varma*, Y. Wang*, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">"Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Cong_Enhancing_NeRF_akin_to_Enhancing_LLMs_Generalizable_NeRF_Transformer_with_ICCV_2023_paper.pdf">[Paper]</a> <a href="https://github.com/VITA-Group/GNT-MOVE">[Code] </a> </li>
<li>A. Jaiswal*, X. Zhang, S. Chan, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">"Physics-Driven Turbulence Image Restoration with Stochastic Refinement”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Jaiswal_Physics-Driven_Turbulence_Image_Restoration_with_Stochastic_Refinement_ICCV_2023_paper.pdf">[Paper]</a> <a href="https://github.com/VITA-Group/PiRN">[Code] </a> </li>
<li>Y. Han*, P. Wang*, S. Kundu, Y. Ding, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">"Vision HGNN: An Image is More than a Graph of Nodes”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. (Oral) <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Han_Vision_HGNN_An_Image_is_More_than_a_Graph_of_ICCV_2023_paper.pdf">[Paper]</a> <a href="https://github.com/VITA-Group/ViHGNN">[Code] </a> </li>
<li>T. Chen*, X. Chen*, X. Du, A. Rashwan, F. Yang, H. Chen, Z. Wang, and Y. Li<br> <b style="color:rgb(71, 71, 71)">"AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. <a href="">[Paper]</a> <a href="https://github.com/google-research/google-research/tree/master/moe_mtl">[Code] </a> </li>
<li>C. Li, B. Feng, Z. Fan*, P. Pan, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">"StegaNeRF: Embedding Invisible Information within Neural Radiance Fields”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. <a href="https://arxiv.org/abs/2212.01602">[Paper]</a> <a href="https://github.com/XGGNet/StegaNeRF">[Code] </a> </li>
<li>X. Xu, Z. Wang, G. Zhang, K. Wang, and H. Shi<br> <b style="color:rgb(71, 71, 71)">"Versatile Diffusion: Text, Images and Variations All in One Diffusion Model”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. <a href="https://arxiv.org/abs/2211.08332">[Paper]</a> <a href="https://github.com/SHI-Labs/Versatile-Diffusion">[Code] </a> </li>
<li>Y. Zhang, R. Cai*, T. Chen*, G. Zhang, H. Zhang, P. Chen, S. Chang, Z. Wang, and S. Liu<br> <b style="color:rgb(71, 71, 71)">"Robust Mixture-of-Expert Training for Convolutional Neural Networks”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. (Oral) <a href="https://arxiv.org/abs/2308.10110">[Paper]</a> <a href="https://github.com/OPTML-Group/Robust-MoE-CNN">[Code] </a> </li>
<li>C. Li, B. Feng, Z. Fan*, P. Pan, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">"StegaNeRF: Embedding Invisible Information within Neural Radiance Fields”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Li_StegaNeRF_Embedding_Invisible_Information_within_Neural_Radiance_Fields_ICCV_2023_paper.pdf">[Paper]</a> <a href="https://github.com/XGGNet/StegaNeRF">[Code] </a> </li>
<li>X. Xu, Z. Wang, G. Zhang, K. Wang, and H. Shi<br> <b style="color:rgb(71, 71, 71)">"Versatile Diffusion: Text, Images and Variations All in One Diffusion Model”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Xu_Versatile_Diffusion_Text_Images_and_Variations_All_in_One_Diffusion_ICCV_2023_paper.pdf">[Paper]</a> <a href="https://github.com/SHI-Labs/Versatile-Diffusion">[Code] </a> </li>
<li>Y. Zhang, R. Cai*, T. Chen*, G. Zhang, H. Zhang, P. Chen, S. Chang, Z. Wang, and S. Liu<br> <b style="color:rgb(71, 71, 71)">"Robust Mixture-of-Expert Training for Convolutional Neural Networks”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. (Oral) <a href="https://openaccess.thecvf.com/content/ICCV2023/html/Zhang_Robust_Mixture-of-Expert_Training_for_Convolutional_Neural_Networks_ICCV_2023_paper.html">[Paper]</a> <a href="https://github.com/OPTML-Group/Robust-MoE-CNN">[Code] </a> </li>
<li>L. Khachatryan, A. Movsisyan, V. Tadevosyan, R. Henschel, Z. Wang, S. Navasardyan, and H. Shi<br> <b style="color:rgb(71, 71, 71)">"Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators”</b><br> IEEE International Conference on Computer Vision (ICCV), 2023. (Oral) <a href="https://arxiv.org/abs/2303.13439">[Paper]</a> <a href="https://github.com/Picsart-AI-Research/Text2Video-Zero">[Code] </a> </li>
<li>G. Holste*, Z. Jiang*, A. Jaiswal*, M. Hanna, S. Minkowitz, A. Legasto, J. Escalon, S. Steinberger, M. Bittman, T. Shen, Y. Ding, R. Summers, G. Shih, Y. Peng, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">“How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?”</b><br>Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023. <a href="https://arxiv.org/abs/2308.09180">[Paper]</a> <a href="https://github.com/VITA-Group/PruneCXR">[Code] </a></li>
<li>W. Chen*, W. Huang, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">“No Free Lunch in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization”</b><br>International Conference on Automated Machine Learning (AutoML-Conf), 2023. <a href="https://openreview.net/pdf?id=EMys3eIDJ2">[Paper]</a> <a href="https://github.com/chenwydj/no_free_lunch_architectures"> [Code]</a></li>
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Expand Up @@ -162,7 +162,6 @@ <h2>Open Calls for Papers/Participation</h2>

<li>The Inaugural <a href="https://cpal.cc/"><b>Conference on Parsimony and Learning (CPAL)</b></a>, Hong Kong, Jan 2024</li>

<li>ICCV 2023 Workshop on <a href="https://cvamd2023.github.io/">Computer Vision for Automated Medical Diagnosis (CVAMD)</a>, Oct 2023</li>
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