Recent News

1 AAAI'25 (certified sparse transfer) accepted

1 Lancet Digital Health (AI cardiac imaging) accepted

1 TMLR (amortized 3D Gaussians) accepted

We thank Matthew Berman for the very cool video [Youtube] highlighting our latest work, OpenAI o1 planning benchmark [Paper] [Code]

8 NeurIPS'24 (LightGaussian + expressive gaussian avatar + Read-ME + multi-scale RoPE + Large Spatial Model + transformer training dynamics + Diffusion4D + AlphaPruning) accepted

1 NeurIPS Datasets & Benchmark Track'24 (Model-GLUE) accepted

1 IEEE Trans. PAMI (symbolic visual RL) accepted

1 JMLR (pruning provably improves generalization) accepted

1 JMLR (tighter theoretical analysis of sparse activation) accepted

3 ECCV'24 (few-shot 3DGS + DreamScene360 + VersatileGaussian) accepted

1 npj Digital Medicine (longitudinal medical imaging) accepted

1 VLDB'24 (data privacy in LLMs) accepted

1 IROS'24 (3DGS SLAM) accepted

1 Nature Communication Medicine (clinical SSL for echocardiography) accepted

We thank AICoffeeBreak for the very cool video [Youtube] highlighting our latest work, GaLore (ICML'24 Oral) [Paper] [Code] [Hugging Face]

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

We are grateful to receive the 2024 IEEE Signal Processing Society Young Author Best Paper Award, for our paper EnlightenGAN (IEEE TIP 2021)

VITA Ph.D. student Ruisi Cai is selected to receive a 2025 academic year NVIDIA Graduate Fellowship

Dr. Wang is grateful to receive the AI 100: The Top AI Thought Leaders award, presented by H2O.ai

We are grateful to receive the Best Paper Finalist Award from VLDB 2024 [Paper]

Ph.D. dissertation of VITA alumnus Dr. Wuyang Chen is selected to receive the INNS Doctoral Dissertation Award, and the iSchools Doctoral Dissertation Award

VITA Postdoc Junyuan Hong is selected to receive the ML and Systems Rising Star Award 2024

VITA Postdoc Shiwei Liu is selected to receive the prestigious Newton International Fellowship from the British Academy and the Royal Society

VITA Ph.D. students Yifan Jiang and Greg Holste are selected to receive two UT Graduate Dean's Prestigious Fellowships

VITA Ph.D. student Ajay Jaiswal is selected to receive the Inaugural Amazon Science Research Fellowship (by the UT-Amazon Hub)

VITA Ph.D. student Tianlong Chen is selected to receive AdvML Rising Star Award 2023

Dr. Wang is grateful to receive the 2023 Google Research Scholar Award

VITA Ph.D. student Greg Holste is selected to receive a 2023 academic year NSF Graduate Research Fellowship (GRFP)

Dr. Wang is grateful to receive tenure promotion (effective Sep 2023)

Dr. Wang is grateful to receive the IEEE biennial "AI's 10 To Watch" award in 2022

We are grateful to receive the Best Paper Award from LoG 2022 [Paper]

VITA Ph.D. student Yifan Jiang is selected to receive a 2022 academic year Apple Scholars in AI/ML PhD fellowship

VITA Ph.D. student Dejia Xu is selected to receive a 2022 academic year Snap Research Fellowship

Our group is selected to be supported by the Meta Reality Labs Research Gift Award

Our group is selected to be supported by the Google TensorFlow Model Garden Award (again)

VITA Ph.D. student Zhiwen Fan is selected to receive a 2022 academic year Qualcomm Innovation Fellowship (QIF)

Dr. Wang is grateful to receive the NSF CAREER Award

Dr. Wang is grateful to receive the Aharon Katzir Young Investigator Award of International Neural Network Society (INNS)

VITA Ph.D. student Tianlong Chen is selected to receive a 2022 academic year Adobe PhD Research Fellowship - that is after him being awarded IBM PhD Fellowship 2021, UT Graduate Dean's Prestigious Fellowship 2021, and Baidu Scholarship finalist

Our group is selected to be supported by the Google TensorFlow Model Garden Award

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

Dr. Wang is grateful to receive the 2021 J. P. Morgan Faculty Research Award

Our group is selected to be supported by the NVIDIA Applied Research Accelerator Program

VITA Ph.D. student Tianlong Chen is selected to receive a 2021 academic year IBM PhD Fellowship

Dr. Wang is grateful to receive the 2020 Adobe Data Science Research Award

Dr. Wang is grateful to receive the 2020 ARO Young Investigator Award (YIP)

Dr. Wang is grateful to receive the 2020 IBM Faculty Research Award

Dr. Wang is grateful to receive the 2020 Amazon Research Award (AWS AI)

Our group co-organized the NeurIPS 2024 Workshop on GennAI for Health: Potential, Trust and Policy Compliance

Our group co-organized the NeurIPS 2024 LLM Privacy Challenge

Our group co-organized the MICCAI 2024 Challenge on Long-tailed, Multi-label, and Zero-shot Classification on Chest X-rays (CXR-LT)

Our group co-organized the ECCV 2024 "Sometimes Less is More: the 1st Dataset Distillation Challenge""

Our group co-organized the ICLR 2024 Workshop on Data-centric Machine Learning Research(DMLR): Harnessing Momentum for Science

Our group co-organized the CVPR 2024 Workshop and Prize Challenge on Bridging the Gapbetween Computational Photography and Visual Recognition (UG2+)

Our group co-organized the inaugural Conference on Parsimony and Learning (CPAL), Hong Kong

Our group co-organized the ICCV 2023 Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD)

Our group co-organized the CVPR 2023 Workshop and Prize Challenge on Bridging the Gap between Computational Photography and Visual Recognition (UG2+)

Our group co-organized the ICASSP 2023 Short Course on Learning Nonlinear and Deep Low-Dimensional Representations from High-Dimensional Data: From Theory to Practice

Our group co-organized the ICASSP 2023 Tutorial on Bilevel Optimization for Machine Learning: Theory, Algorithms and Applications

Our group co-organized the ICASSP 2023 Special Session on Unsupervised Deep Learning of Image Priors for Inverse Problems

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

Our group co-organized the ICLR 2023 Workshop on Sparsity in Neural Networks: On Practical Limitations and Tradeoffs between Sustainability and Efficiency

Our group co-organized the NSF IFML workshop on Models v.s. Data in ML and AI

Our group co-organized the 3rd Workshop on Seeking Low-Dimensionality in Deep Neural Networks (SLowDNN)

Our group co-organized MLSys 2022 Tutorial: Training-Free Approaches for Edge AI: Challenges, Opportunities and Progress

Our group co-organized the 2nd workshop on Sparsity in Neural Networks: Advancing Understanding and Practice (SNN)

Our group co-organized the CVPR 2022 Workshop and Challenge on Bridging Computational Photography and Visual Recognition (UG2+)

Our group co-organized the AICAS 2022 tutorial: IEEE Low-Power Computer Vision Challenge. A similar tutorial would be offered in DAC 2022

Our group co-organized the 2nd IEEE Workshop on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN)

Our group co-organized the ICCV 2021 Workshop on Real-world Recognition from Low-quality Inputs (RLQ)

Our group co-organized the inaugural workshop on Sparsity in Neural Networks: Advancing Understanding and Practice (SNN)

Our group co-organized the CVPR 2021 Tutorial: Data- and Label-Efficient Learning in An Imperfect World

Our group co-organized two CVPR 2021 workshops: Bridging Computational Photography and Visual Recognition (UG2+), and Future Video Conferencing (FVC)

Our group co-organized the IJCAI 2020 BOOM Workshop

Our group co-organized the NeurIPS 2020 Workshop on AI for Humanitarian Assistance and Disaster Response (HADR)

Our group co-organized the 1st IEEE Workshop on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN) [video record]

Our group co-organized the ECCV 2020 RLQ-TOD Workshop and Prize Challenge

Our group co-organized the CVPR 2020 UG2+ Workshop and Prize Challenge