diff --git a/group.html b/group.html
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@@ -695,9 +695,9 @@
Alumni
Visitors/Interns
- - Yee Yang Tee, Ph.D. student, EEE@Nanyang Technological University, Singapore, visitng VITA during Aug 2022 - Jan 2023
- - Artur André Oiveira, Ph.D. student, CS@University of São Paulo, Brazil, visitng VITA during Dec 2021 - May 2022
- - Shuai Yang, Ph.D. student, CS@Peking University, visitng VITA during Sep 2018 - Sep 2019
+ - Yee Yang Tee, Ph.D. student, EEE@Nanyang Technological University, Singapore, visiting VITA during Aug 2022 - Jan 2023
+ - Artur André Oiveira, Ph.D. student, CS@University of São Paulo, Brazil, visiting VITA during Dec 2021 - May 2022
+ - Shuai Yang, Ph.D. student, CS@Peking University, visiting VITA during Sep 2018 - Sep 2019
- Saebyeol Shin, undergraduate, Sungkyunkwan University, South Korea, Fall 2023 [remote] (Next Move: Ph.D. student, CS@Cornell)
diff --git a/index.html b/index.html
index a2ed1d7..8a51062 100644
--- a/index.html
+++ b/index.html
@@ -184,7 +184,7 @@ News
- VITA's Summer 2024 squad of Ph.D. students graduated:
- - Dr. Yifan Jiang and Dr. Scott Hoang both joined Apple AIML as Senior Research Scientists (both were super excited about their packages!)
+
- Drs. Yifan Jiang and Scott Hoang both joined Apple AIML as Senior Research Scientists (both were super excited about their packages!)
- Dr. Yuning You will join CS@CUHK Shenzhen as an Assistant Professor (starting from Fall 2025), after another year of postdoc at Caltech
@@ -193,6 +193,7 @@ News
- VITA Postdoc Junyuan Hong is selected to receive the ML and Systems Rising Star Award 2024
- 10 ICML'24 (GaLore + Flextron + long convolution LLM + LLM junk DNA + OWL pruning + LLaGA + decoding compressed trust + sparse cocktail + LESS + zeroth-order training) accepted
- 1 ACL'24 (LLM model soup) accepted
+ - 1 Medical Image Analysis (multi-label long-tail chest X-ray) accepted
- Our group co-organized the ICLR Workshop on Data-centric Machine Learning Research (DMLR): Harnessing Momentum for Science
@@ -300,7 +301,7 @@ News
- Announce the Conference on Parsimony and Learning (CPAL), a brand-new conference for the sparse ML research community, that Dr. Wang co-founds and will serve as its inaugural Program Chair
- 1 ACL'23 (sparse LLM tuning) accepted
- - 1 MICCAI'23 (multi-label long-tail) accepted
+ - 1 MICCAI'23 (multi-label long-tail chest X-ray) accepted
- 1 AutoML-Conf'23 (neural architecture "no free lunch") accepted
- 1 TMLR (partial graph transfer learning) accepted
- Our group co-organized the ICLR 2023 Workshop on Sparsity in Neural Networks: On Practical Limitations and Tradeoffs between Sustainability and Efficiency
@@ -458,7 +459,7 @@ News
- 3 WACV'22 (video NAS + sandwich BatchNorm + chest X-rays) accepted
- Our group is selected to be supported by the Google TensorFlow Model Garden Award
- Our group co-organized the ICCV 2021 Workshop on Real-world Recognition from Low-quality Inputs (RLQ)
- - 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
+ - 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
- We thank Henry for the very cool video [Youtube] highlighting our latest work, AugMax (NeurIPS'21) [Paper] [Code]
diff --git a/publication.html b/publication.html
index 55e6c07..9f93780 100644
--- a/publication.html
+++ b/publication.html
@@ -159,8 +159,8 @@ Journal Paper
+ - 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
“Towards Long-tailed, Multi-label Disease Classification from Chest X-ray”
Medical Image Analysis, 2024. [Paper] [Code]
- G. Li, D. Hoang*, K. Bhardwaj, M. Lin, Z. Wang, and R. Marculescu
“Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities”
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. [Paper] [Code]
-
- 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
“A Multimodality Video-Based AI Biomarker for Aortic Stenosis Development and Progression”
JAMA Cardiology, 2024. [Paper] [Code]
- W. Chen*, X. Gong*, J. Wu*, Y. Wei, H. Shi, Z. Yan, Y. Yang, and Z. Wang
“Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics”
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [Paper] [Code]
- Z. Jiang*, G. Zheng, Y. Cheng, A. Awadallah, and Z. Wang
“CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning”
Transactions on Machine Learning Research (TMLR), 2023. [Paper] [Code]
@@ -210,7 +210,7 @@ Conference Paper
- 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
“Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression”
International Conference on Machine Learning (ICML), 2024. [Paper] [Code]
- Z. Li*, S. Liu*, T. Chen*, A. Jaiswal*, Z. Zhang*, D. Wang, R. Krishnamoorthi, S. Chang, Z. Wang
“Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once”
International Conference on Machine Learning (ICML), 2024. [Paper] [Code]
- J. Zhao, Z. Zhang*, B. Chen, Z. Wang, A. Anandkumar, and Y. Tian
“GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection”
International Conference on Machine Learning (ICML), 2024. [Paper] [Code]
- - H. Dong, X. Yang, Z. Zhang*, Z. Wang, Y. Chi, and B. Chen
“Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference”
International Conference on Machine Learning (ICML), 2024. [Paper] [Code]
+ - H. Dong, X. Yang, Z. Zhang*, Z. Wang, Y. Chi, and B. Chen
“Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference”
International Conference on Machine Learning (ICML), 2024. [Paper] [Code]
- 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*
“Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark”
International Conference on Machine Learning (ICML), 2024. [Paper] [Code]
- P. Wang*, D. Xu*, Z. Fan*, D. Wang, S. Mohan, F. Iandola, R. Ranjan, Y. Li, Q. liu, Z. Wang, and V. Chandra
"Taming Mode Collapse in Score Distillation for Text-to-3D Generation”
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Paper] [Code]
diff --git a/resource.html b/resource.html
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--- a/resource.html
+++ b/resource.html
@@ -159,11 +159,14 @@ Open Calls for Papers/Participation
- - CVPR Workshop and Prize Challenge on Bridging the Gap between Computational Photography and Visual Recognition (UG2+), Seattle, Jun 2024
+ - CVPR Workshop and Prize Challenge on Bridging the Gap between Computational Photography and Visual Recognition (UG2+), Seattle, Jun 2024
- - ECCV "Sometimes Less is More: the 1st Dataset Distillation Challenge", Milan, Italy, Sep 2024
+ - ECCV "Sometimes Less is More: the 1st Dataset Distillation Challenge", Milan, Italy, Sep 2024
- - MICCAI Challenge on Long-tailed, Multi-label, and Zero-shot Classification on Chest X-rays (CXR-LT), Morocco, Oct 2024
+ - MICCAI Challenge on Long-tailed, Multi-label, and Zero-shot Classification on Chest X-rays (CXR-LT), Morocco, Oct 2024
+
+
+ - NeurIPS LLM Privacy Challenge, Vancouver, Dec 2024
@@ -198,6 +201,7 @@
Datasets
+ - MIA'24, Long-tailed, multi-label, and zero-shot classification on chest X-rays (CXR-LT) dataset [Webpage]
- IEEE TIP'23, Multi-Purpose Real Haze Benchmark (A2I2-Haze) dataset [Webpage]
- IEEE TPAMI'20 + ECCV'18, Privacy attributes in HMDB51 (PA-HMDB51) dataset [Webpage]
- IJCV'20 + CVPR'19, Multi-Purpose Image Deraining (MPID) dataset [Webpage]