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VITA-Group · May 27, 2024 · 3f882ea · 3f882ea
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diff --git a/group.html b/group.html
@@ -695,9 +695,9 @@ <h2>Alumni</h2>
                         <ul>
                             Visitors/Interns
                             <ul>
-                            <li> Yee Yang Tee, Ph.D. student, EEE@Nanyang Technological University, Singapore, visitng VITA during Aug 2022 - Jan 2023 </li>
-                            <li> Artur André Oiveira, Ph.D. student, CS@University of São Paulo, Brazil, visitng VITA during Dec 2021 - May 2022 </li>
-                            <li> Shuai Yang, Ph.D. student, CS@Peking University, visitng VITA during Sep 2018 - Sep 2019</li>
+                            <li> Yee Yang Tee, Ph.D. student, EEE@Nanyang Technological University, Singapore, visiting VITA during Aug 2022 - Jan 2023 </li>
+                            <li> Artur André Oiveira, Ph.D. student, CS@University of São Paulo, Brazil, visiting VITA during Dec 2021 - May 2022 </li>
+                            <li> Shuai Yang, Ph.D. student, CS@Peking University, visiting VITA during Sep 2018 - Sep 2019</li>
 
                         <br>
                             <li>Saebyeol Shin, undergraduate, Sungkyunkwan University, South Korea, Fall 2023 [remote] (Next Move: Ph.D. student, CS@Cornell)</li>

diff --git a/index.html b/index.html
@@ -184,7 +184,7 @@ <h2>News</h2>
                         <ul style="margin-bottom:5px">
                              <li> VITA's Summer 2024 squad of Ph.D. students graduated: 
                             <ul class="j">
-                                <li> Dr. Yifan Jiang and Dr. Scott Hoang both joined Apple AIML as Senior Research Scientists (both were super excited about their packages!)
+                                <li> Drs. Yifan Jiang and Scott Hoang both joined Apple AIML as Senior Research Scientists (both were super excited about their packages!)
                                 </li>
                                 <li> Dr. Yuning You will join CS@CUHK Shenzhen as an Assistant Professor (starting from Fall 2025), after another year of postdoc at Caltech
                                 </li>
@@ -193,6 +193,7 @@ <h2>News</h2>
                             <li> VITA Postdoc <a href="https://jyhong.gitlab.io/">Junyuan Hong</a> is selected to receive the ML and Systems Rising Star Award 2024</a> </li>
                             <li> 10 ICML'24 (GaLore + Flextron + long convolution LLM + LLM junk DNA + OWL pruning + LLaGA + decoding compressed trust + sparse cocktail + LESS + zeroth-order training) accepted </li>
                             <li> 1 ACL'24 (LLM model soup) accepted </li>
+                            <li> 1 Medical Image Analysis (multi-label long-tail chest X-ray) accepted </li>
                             <li>Our group co-organized the ICLR Workshop on <a href="https://dmlr.ai/">Data-centric Machine Learning Research (DMLR): Harnessing Momentum for Science</a></li>
                         </li>
                     </ul>
@@ -300,7 +301,7 @@ <h2>News</h2>
                         </li>
                         <li> Announce the <a href="https://cpal.cc/">Conference on Parsimony and Learning (CPAL)</a>, a brand-new conference for the sparse ML research community, that Dr. Wang co-founds and will serve as its inaugural Program Chair</li> 
                         <li> 1 ACL'23 (sparse LLM tuning) accepted </li>
-                        <li> 1 MICCAI'23 (multi-label long-tail) accepted </li>
+                        <li> 1 MICCAI'23 (multi-label long-tail chest X-ray) accepted </li>
                         <li> 1 AutoML-Conf'23 (neural architecture "no free lunch") accepted </li>
                         <li> 1 TMLR (partial graph transfer learning) accepted</li> 
                             <li> Our group co-organized the ICLR 2023 Workshop on <a href="https://www.sparseneural.net/">Sparsity in Neural Networks: On Practical Limitations and Tradeoffs between Sustainability and Efficiency</a></li>
@@ -458,7 +459,7 @@ <h2>News</h2>
                             <li> 3 WACV'22 (video NAS + sandwich BatchNorm +  chest X-rays) accepted </li>
                             <li> Our group is selected to be supported by the Google TensorFlow Model Garden Award </li>
                             <li> Our group co-organized the ICCV 2021 Workshop on <a href="https://rlq-workshop.github.io/">  Real-world Recognition from Low-quality Inputs (RLQ) </a> </li> 
-                            <li> VITA Postdoctoral Researcher Dr. Guoliang Kang joins the CS department of University of Technology Sydney, Australia, as Lecturer (Assistant Professor) and endowed with the prestigious DECRA Fellow </a> </li> 
+                            <li> VITA Postdoc Guoliang Kang joins the CS department of University of Technology Sydney, Australia, as Lecturer (Assistant Professor) and endowed with the prestigious DECRA Fellow </a> </li> 
                             <li> We thank Henry for the very cool video <a href="https://www.youtube.com/watch?v=kQ09eg513Nc">[Youtube]</a> highlighting our latest work, AugMax (NeurIPS'21) <a href="https://arxiv.org/pdf/2110.13771.pdf">[Paper]</a> <a href="https://github.com/VITA-Group/AugMax">[Code]</a></li> 
                         </ul>
 

diff --git a/publication.html b/publication.html
@@ -159,8 +159,8 @@ <h2>Journal Paper</h2>
                 <div class="trend-entry d-flex">
                     <div class="trend-contents">
                         <ul>
+                            <li> G. Holste*, Y. Zhou, S. Wang, A. Jaiswal, M. Lin, S. Zhuge, Y. Yang, D. Kim, T. Nguyen-Mau, M. Tran, J. Jeong, W. Park, J. Ryu, F. Hong, A. Verma, Y. Yamagishi, C. Kim, H. Seo, M. Kang, L. Celi, Z. Lu, R. Summers, G. Shih, Z. Wang, and Y. Peng<br> <b style="color:rgb(71, 71, 71)">“Towards Long-tailed, Multi-label Disease Classification from Chest X-ray”</b><br>Medical Image Analysis, 2024. <a href="https://arxiv.org/abs/2310.16112">[Paper]</a> <a href="https://bionlplab.github.io/2024_MICCAI_CXRLT/">[Code]</a></li>
                             <li> G. Li, D. Hoang*, K. Bhardwaj, M. Lin, Z. Wang, and R. Marculescu<br> <b style="color:rgb(71, 71, 71)">“Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities”</b><br> IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. <a href="https://arxiv.org/abs/2307.01998">[Paper]</a> <a href="https://github.com/SLDGroup/survey-zero-shot-nas">[Code]</a></li>
-
                             <li> E. Oikonomou,  G. Holste*, N. Yuan, A. Coppi, R. McNamara, N. Haynes, A. Vora, E. Velazquez, F. Li, V. Menon, S. Kapadia, T. Gill, G. Nadkarni, H. Krumholz, Z. Wang, D. Ouyang, and R. Khera<br> <b style="color:rgb(71, 71, 71)">“A Multimodality Video-Based AI Biomarker for Aortic Stenosis Development and Progression”</b><br> JAMA Cardiology, 2024. <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557799/">[Paper]</a> [Code]</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> 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="https://github.com/VITA-Group/CRMoE">[Code]</a></li>
@@ -210,7 +210,7 @@ <h2>Conference Paper</h2>
                             <li>J. Hong*, J. Duan, C. Zhang, Z. Li*, C. Xie, K. Lieberman, J. Diffenderfer, B. Bartoldson, A. Jaiswal*, K. Xu, B. Kailkhura, D. Hendrycks, D. Song, Z. Wang, and B. Li<br> <b style="color:rgb(71, 71, 71)">“Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression”</b><br>International Conference on Machine Learning (ICML), 2024. <a href="https://arxiv.org/abs/2403.15447">[Paper]</a> <a href="https://decoding-comp-trust.github.io/">[Code] </a> </li>
                             <li>Z. Li*, S. Liu*, T. Chen*, A. Jaiswal*, Z. Zhang*, D. Wang, R. Krishnamoorthi, S. Chang, Z. Wang<br> <b style="color:rgb(71, 71, 71)">“Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once”</b><br>International Conference on Machine Learning (ICML), 2024. <a href="">[Paper]</a> <a href="">[Code] </a> </li>
                             <li>J. Zhao, Z. Zhang*, B. Chen, Z. Wang, A. Anandkumar, and Y. Tian<br> <b style="color:rgb(71, 71, 71)">“GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection”</b><br>International Conference on Machine Learning (ICML), 2024. <a href="https://arxiv.org/abs/2403.03507">[Paper]</a> <a href="https://github.com/jiaweizzhao/GaLore">[Code] </a> </li>
-                            <li>H. Dong, X. Yang, Z. Zhang*, Z. Wang, Y. Chi, and B. Chen<br> <b style="color:rgb(71, 71, 71)">“Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference”</b><br>International Conference on Machine Learning (ICML), 2024. <a href="https://arxiv.org/abs/2402.09398">[Paper]</a> <a href="">[Code] </a> </li>
+                            <li>H. Dong, X. Yang, Z. Zhang*, Z. Wang, Y. Chi, and B. Chen<br> <b style="color:rgb(71, 71, 71)">“Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference”</b><br>International Conference on Machine Learning (ICML), 2024. <a href="https://arxiv.org/abs/2402.09398">[Paper]</a> <a href="https://github.com/hdong920/LESS">[Code] </a> </li>
                             <li>Y. Zhang, P. Li, J. Hong*, J. Li, Y. Zhang, W. Zheng*, P. Chen, J. Lee, W. Yin, M. Hong, Z. Wang, S. Liu, and T. Chen*<br> <b style="color:rgb(71, 71, 71)">“Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark”</b><br>International Conference on Machine Learning (ICML), 2024. <a href="https://arxiv.org/abs/2402.11592">[Paper]</a> <a href="https://github.com/ZO-Bench/ZO-LLM?tab=readme-ov-file">[Code] </a> </li>
                             <li>P. Wang*, D. Xu*, Z. Fan*, D. Wang, S. Mohan, F. Iandola, R. Ranjan, Y. Li, Q. liu, Z. Wang, and V. Chandra
                                 <br> <b style="color:rgb(71, 71, 71)">"Taming Mode Collapse in Score Distillation for Text-to-3D Generation”</b><br>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. <a href="https://arxiv.org/abs/2401.00909">[Paper]</a> <a href="https://vita-group.github.io/3D-Mode-Collapse/">[Code] </a> </li>

diff --git a/resource.html b/resource.html
@@ -159,11 +159,14 @@ <h2>Open Calls for Papers/Participation</h2>
                 <div class="trend-entry d-flex">
                     <div class="trend-contents">
                         <ul>
-                            <li>CVPR Workshop and Prize Challenge on <a href="">Bridging the Gap between Computational Photography and Visual Recognition (UG2+)</a>, Seattle, Jun 2024</li>
+                            <li>CVPR Workshop and Prize Challenge on <a href="https://cvpr2024ug2challenge.github.io/">Bridging the Gap between Computational Photography and Visual Recognition (UG2+)</a>, Seattle, Jun 2024</li>
 
-                            <li>ECCV <a href="">"Sometimes Less is More: the 1st Dataset Distillation Challenge"</a>, Milan, Italy, Sep 2024</li>
+                            <li>ECCV <a href="https://dd-challenge-main.vercel.app/">"Sometimes Less is More: the 1st Dataset Distillation Challenge"</a>, Milan, Italy, Sep 2024</li>
 
-                            <li>MICCAI Challenge on <a href="">Long-tailed, Multi-label, and Zero-shot Classification on Chest X-rays (CXR-LT)</a>, Morocco, Oct 2024</li>
+                            <li>MICCAI 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>, Morocco, Oct 2024</li>
+
+
+                            <li>NeurIPS <a href="https://llm-pc.github.io/">LLM Privacy Challenge</a>, Vancouver, Dec 2024</li>
 
                         </ul>
                     </div>
@@ -198,6 +201,7 @@ <h2>Datasets</h2>
                 <div class="trend-entry d-flex">
                     <div class="trend-contents">
                         <ul>
+                            <li>MIA'24, Long-tailed, multi-label, and zero-shot classification on chest X-rays (<b>CXR-LT</b>) dataset <a href="https://bionlplab.github.io/2024_MICCAI_CXRLT/">[Webpage]</a></li>
                             <li>IEEE TIP'23, Multi-Purpose Real Haze Benchmark (<b>A2I2-Haze</b>) dataset <a href=" https://a2i2-archangel.vision">[Webpage]</a></li>
                             <li>IEEE TPAMI'20 + ECCV'18, Privacy attributes in HMDB51 (<b>PA-HMDB51</b>) dataset <a href="https://htwang14.github.io/PA-HMDB51-website/index.html">[Webpage]</a></li>
                             <li>IJCV'20 + CVPR'19, Multi-Purpose Image Deraining (<b>MPID</b>) dataset <a href="https://github.com/lsy17096535/Single-Image-Deraining">[Webpage]</a></li>