


Vita is Latin for Life — and life’s too short for boring research.
Recent News
Research
2025
Jul 2025
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May 2025
Apr 2025
Feb 2025
Jan 2025
Jun 2025
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7 ICML'25 (low-rank LLM weight theory + geo-distributed LLM pre-training + alignment as plain statistical estimation + scale separation in μP + contextualized equivariant PE + linear attention transformer + multi-view video generation) accepted
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1 ACL'25 (Time-MQA) accepted
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2 NeuS'25 (symbolic emergence from NN gradient training + in-memory neurosymbolic) accepted
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5 CVPR'25 (FlexGS + Steepest Descent 3DGS + Feature4X + StreamingT2V + small VLM guidance) accepted
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2 MLSys'25 (APOLLO + formalized VLM uncertainty) accepted
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1 PNAS Nexus (neurosymbolic AI) accepted
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1 DMLR (DL for scRNA-seq analysis) accepted
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7 ICLR'25 (SSM bottleneck + transformer gradient flow + LLaMaFlex + R-Sparse + spike-aware Adam + 4K4DGen + HD-Painter) accepted
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1 AISTATS'25 (SteinDreamer) accepted
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5 COLM'25 (SPIN-Bench + test-time scaling world model + streerable reasoning + LoX + multi-model alignment) accepted
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1 JAMA (PanEcho; IF = 63.1) accepted
2024
Dec 2024
Nov 2024
Oct 2024
Sep 2024
Aug 2024
Jul 2024
Jun 2024
May 2024
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1 AAAI'25 (certified sparse transfer) accepted
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1 Lancet Digital Health (AI cardiac imaging) accepted
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8 NeurIPS'24 (LightGaussian + expressive gaussian avatar + Read-ME + multi-scale RoPE + Large Spatial Model + transformer training dynamics + Diffusion4D + AlphaPruning) accepted
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1 NeurIPS Datasets & Benchmark Track'24 (Model-GLUE) accepted
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1 IEEE Trans. PAMI (symbolic visual RL) accepted
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1 JMLR (pruning provably improves generalization) accepted
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1 JMLR (tighter theoretical analysis of sparse activation) accepted
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3 ECCV'24 (Few-shot 3DGS + DreamScene360 + VersatileGaussian) accepted
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1 npj Digital Medicine (longitudinal medical imaging) accepted
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1 VLDB'24 (data privacy in LLMs) accepted
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1 IROS'24 (3DGS SLAM) accepted
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1 Nature Communication Medicine (clinical SSL for echocardiography) accepted
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We thank AICoffeeBreak for the very cool video [Youtube] highlighting our latest work, GaLore (ICML'24 Oral) [Paper] [Code] [Hugging Face]
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10 ICML'24 (GaLore + Flextron + long convolution LLM + LLM junk DNA + OWL pruning + LLaGA + decoding compressed trust + sparse cocktail + LESS + zeroth-order training) accepted
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1 ACL'24 (LLM model soup) accepted
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1 Medical Image Analysis (multi-label long-tail chest X-ray) accepted
(Please check our earlier publications at the Publications Page)
Earlier
Awards
2025
Jun 2025
May 2025
Mar 2025
Jan 2025
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We are grateful to receive the Best Paper Award from the CVPR 2025 AI for Content Creation Workshop [Paper]
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We are grateful to receive the DAPRA Disruptive Idea Paper Award from NeuS 2025
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​We are grateful to receive the Outstanding Paper Honorable Mention from MLSys 2025 [Paper]
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VITA Ph.D. student Peihao Wang is selected to receive a 2025 Texas ECE Graduate Achievement Award
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VITA Ph.D. student Runjin Chen is selected as an Anthropic AI Safety Fellow 2025
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VITA Ph.D. students Ruisi Cai and Zhenyu Zhang are selected to receive the ML and Systems Rising Star Awards 2025
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VITA Ph.D. student Peihao Wang is selected to receive a 2025 academic year UT Graduate Recognition Fellowship
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Dr. Wang is grateful to receive the 2025 Sony Faculty Research Award
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VITA Ph.D. student Yeonju Ro (co-advised w/ Prof. Aditya Akella) is selected to receive a 2025 academic year IBM PhD Fellowship
2024
Nov 2024
Aug 2024
Jun 2024
May 2024
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We are grateful to receive the 2024 IEEE Signal Processing Society Young Author Best Paper Award, for our paper EnlightenGAN (IEEE TIP 2021)
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VITA Ph.D. student Ruisi Cai is selected to receive a 2025 academic year NVIDIA Graduate Fellowship
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Dr. Wang is grateful to receive the AI 100: The Top AI Thought Leaders award, presented by H2O.ai
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We are grateful to receive the Best Paper Finalist Award from VLDB 2024 [Paper]
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Ph.D. dissertation of VITA alumnus Dr. Wuyang Chen is selected to receive the INNS Doctoral Dissertation Award, and the iSchools Doctoral Dissertation Award
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VITA Postdoc Junyuan Hong is selected to receive the ML and Systems Rising Star Award 2024
2023 and earlier
2023
Sep 2023
Jul 2023
Jun 2023
Apr 2023
Mar 2023
Feb 2023
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VITA Postdoc Shiwei Liu is selected to receive the prestigious Newton International Fellowship from the British Academy and the Royal Society
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VITA Ph.D. students Yifan Jiang and Greg Holste are selected to receive two UT Graduate Dean's Prestigious Fellowships
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VITA Ph.D. student Ajay Jaiswal is selected to receive the Inaugural Amazon Science Research Fellowship (by the UT-Amazon Hub)
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VITA Ph.D. student Tianlong Chen is selected to receive AdvML Rising Star Award 2023
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Dr. Wang is grateful to receive the 2023 Google Research Scholar Award
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VITA Ph.D. student Greg Holste is selected to receive a 2023 academic year NSF Graduate Research Fellowship (GRFP)
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Dr. Wang is grateful to receive tenure promotion (effective Sep 2023)
2022
Dec 2022
Nov 2022
Aug 2022
Jun 2022
Apr 2022
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Dr. Wang is grateful to receive the IEEE biennial "AI's 10 To Watch" award in 2022
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We are grateful to receive the Best Paper Award from LoG 2022 [Paper]​
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VITA Ph.D. student Yifan Jiang is selected to receive a 2022 academic year Apple Scholars in AI/ML PhD fellowship
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VITA Ph.D. student Dejia Xu is selected to receive a 2022 academic year Snap Research Fellowship
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Our group is selected to be supported by the Meta Reality Labs Research Gift Award
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Our group is selected to be supported by the Google TensorFlow Model Garden Award (again)
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VITA Ph.D. student Zhiwen Fan is selected to receive a 2022 academic year Qualcomm Innovation Fellowship (QIF)
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Dr. Wang is grateful to receive the NSF CAREER Award
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Dr. Wang is grateful to receive the Aharon Katzir Young Investigator Award of International Neural Network Society (INNS)
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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
2021
Sep 2021
Jul 2021
Jun 2021
Jul 2021
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Our group is selected to be supported by the Google TensorFlow Model Garden Award
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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
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Dr. Wang is grateful to receive the 2021 J. P. Morgan Faculty Research Award
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Our group is selected to be supported by the NVIDIA Applied Research Accelerator Program
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VITA Ph.D. student Tianlong Chen is selected to receive a 2021 academic year IBM PhD Fellowship
2020
Sep 2020
Apr 2020
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​Dr. Wang is grateful to receive the 2020 Adobe Data Science Research Award
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Dr. Wang is grateful to receive the 2020 ARO Young Investigator Award (YIP)
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Dr. Wang is grateful to receive the 2020 IBM Faculty Research Award
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Dr. Wang is grateful to receive the 2020 Amazon Research Award (AWS AI)
Events
2024
Dec 2024
Oct 2024
Sep 2024
May 2024
Jun 2024
Jan 2024
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Our group co-organized the NeurIPS 2024 Workshop on GennAI for Health: Potential, Trust and Policy Compliance
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Our group co-organized the NeurIPS 2024 LLM Privacy Challenge
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Our group co-organized the MICCAI 2024 Challenge on Long-tailed, Multi-label, and Zero-shot Classification on Chest X-rays (CXR-LT)
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Our group co-organized the ECCV 2024 "Sometimes Less is More: the 1st Dataset Distillation Challenge""
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Our group co-organized the ICLR 2024 Workshop on Data-centric Machine Learning Research(DMLR): Harnessing Momentum for Science
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Our group co-organized the CVPR 2024 Workshop and Prize Challenge on Bridging the Gapbetween Computational Photography and Visual Recognition (UG2+)
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Our group co-organized the inaugural Conference on Parsimony and Learning (CPAL), Hong Kong
2023 and earlier
2023
Oct 2023
Jun 2023
May 2023
Apr 2023
Jan 2023
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Our group co-organized the ICCV 2023 Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD)
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Our group co-organized the CVPR 2023 Workshop and Prize Challenge on Bridging the Gap between Computational Photography and Visual Recognition (UG2+)
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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
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Our group co-organized the ICASSP 2023 Tutorial on Bilevel Optimization for Machine Learning: Theory, Algorithms and Applications
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Our group co-organized the ICASSP 2023 Special Session on Unsupervised Deep Learning of Image Priors for Inverse Problems
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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
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Our group co-organized the ICLR 2023 Workshop on Sparsity in Neural Networks: On Practical Limitations and Tradeoffs between Sustainability and Efficiency
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Our group co-organized the NSF IFML workshop on Models v.s. Data in ML and AI
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Our group co-organized the 3rd Workshop on Seeking Low-Dimensionality in Deep Neural Networks (SLowDNN)
2022
Aug 2022
Jul 2022
Jun 2022
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Our group co-organized MLSys 2022 Tutorial: Training-Free Approaches for Edge AI: Challenges, Opportunities and Progress
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Our group co-organized the 2nd workshop on Sparsity in Neural Networks: Advancing Understanding and Practice (SNN)
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Our group co-organized the CVPR 2022 Workshop and Challenge on Bridging Computational Photography and Visual Recognition (UG2+)
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Our group co-organized the AICAS 2022 tutorial: IEEE Low-Power Computer Vision Challenge. A similar tutorial would be offered in DAC 2022
2021
Nov 2021
Jun 2021
May 2021
Apr 2021
Jan 2021
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Our group co-organized the 2nd IEEE Workshop on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN)
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Our group co-organized the ICCV 2021 Workshop on Real-world Recognition from Low-quality Inputs (RLQ)
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Our group co-organized the inaugural workshop on Sparsity in Neural Networks: Advancing Understanding and Practice (SNN)
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Our group co-organized the CVPR 2021 Tutorial: Data- and Label-Efficient Learning in An Imperfect World
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Our group co-organized two CVPR 2021 workshops: Bridging Computational Photography and Visual Recognition (UG2+), and Future Video Conferencing (FVC)
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Our group co-organized the IJCAI 2020 BOOM Workshop
2020
Dec 2020
Nov 2020
Aug 2020
Jun 2020
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Our group co-organized the NeurIPS 2020 Workshop on AI for Humanitarian Assistance and Disaster Response (HADR)
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Our group co-organized the 1st IEEE Workshop on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN) [video record]
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Our group co-organized the ECCV 2020 RLQ-TOD Workshop and Prize Challenge
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Our group co-organized the CVPR 2020 UG2+ Workshop and Prize Challenge
Talks
Invited Talks at Universities and Summer Schools
2025
Sep 2025
Jul 2025
Apr 2025, Oct 2019
Mar 2025
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Cornell Tech AI Quantitative Finance Conference
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International School on Deep Learning (DeepLearn 2025 Summer)
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New York University, Center for Data Science
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Princeton Center for Statistics and Machine Learning (CSML)
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Rutgers University, ECE Department
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Columbia Mathematics of Finance (MAFN) Conference
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UT Austin, AI + Robotics Annual Research Symposium​​
2024
Oct 2024
Sep 2024
Aug 2024
May 2024
Mar 2024​
Jan 2024
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University of Pittsburgh, CS Department
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Yale University, Healthcare Data Science Seminar
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Columbia University, Open AGI Workshop
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NSF IFML AI Institute Seminar (hosted by UT Austin)
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NSF AI Spring School (hosted by UT San Antonio)
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University of Pennsylvania, ASSET Center
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National University of Singapore, ECE Department​​
2023 and earlier
2023
​Nov 2023
Mar 2018, Apr 2019, Oct 2023
Oct 2023
Sep 2023
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Sep 2021, Jul 2023
Apr 2023
Feb 2023
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Princeton Language and Intelligence (PLI)
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University of Maryland, ECE Department
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Vanderbilt University, Machine Learning Seminar Series
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Cornell Tech, CS Department
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Georgia Tech, Center for Signal and Information Processing
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Peking University, CS Department
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International School on Deep Learning (DeepLearn 2023 Spring)
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UT Health, Data Science Seminar
2022
Oct 2022
Apr 2021, Oct 2022
Dec 2017, Oct 2019, Aug 2022
Oct 2019, Jul 2022,
Apr 2022
Mar 2022
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MIT, Vision and Graphics Seminar
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University of Michigan, EECS Department
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Rice University, ECE Department
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New York University, ECE Department
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UC San Diego, AI Seminar
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UC Los Angeles, CS Department
2021
Dec 2021
Aug 2021
Jul 2021
Apr 2021
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Boston College, Math & Machine Learning Seminar
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CUHK Shenzhen, School of Data Science
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Princeton University, Deep Learning Theory Summer School
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Rutgers University, ECE Department
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Purdue University, CS Department
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University of Virginia, ECE Department
Dec 2020
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Nov 2019
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Oct 2019
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Sep 2019
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Jul 2019
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Oct 2018
Jun 2018
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Apr 2018
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Nov 2017
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Jul 2016
Jun 2016
May 2016
Apr 2016
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Feb 2014
2020
2019
2018
2017
2016
2014
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University of Oregon, CS Department​​​
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Georgia Tech, Machine Learning Center
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NC State University, ECE Interdisciplinary Distinguished Seminar
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Yale University, Biomedical Imaging Department
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University of Pennsylvania, ESE Department
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Northeastern University, ECE Department
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UIUC, ECE Department
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Advanced Summer School of Learning from Data, Sao Paulo, Brazil​​​
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University of Texas Southwestern Medical Center
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University of Sao Paulo (Brazil), Instituto de Matematica e Estatistica
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University of Trento (Italy), IECS Department
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Michigan State University, Machine Learning Seminar Series​​​
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University of Houston, ECE Department​​​
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University of Minnesota, ECE Department
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Peking University, Math Department (BIMCR)
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Northwestern University, EECS Department
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University of Washington, ISE Department​​​
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UC Los Angeles, Math Department
Invited Talks at Companies and Research Institutes
2025
Jun 2021, Jun 2023, Aug 2024, Mar 2025
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Amazon (AGI, Search, AWS, etc.)
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2024
Sep 2024
Apr 2024
Jan 2024
Nov 2022, Jan 2024
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Topaz Labs, Dallas, TX
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XPENG, AI Team
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Unify.ai (Ivy paper reading group)
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Intel AI Lab
2023 and earlier
2023
Sep 2023
Sep 2022, Aug 2023
Apr 2023
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​Capital One, InnovateML Series
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Qualcomm AI Research
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Cisco, Ecient AI Summit
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Genetech, Foundational ML research
Sep 2022
Jul 2019, Apr 2022
Apr 2022
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Lawrence Livermore National Laboratory
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Facebook (Meta) Research
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Baidu Research, Cognitive Computing Seminar Series
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RIKEN, TrustML Young Scientist Seminar, Japan
2022
Aug 2021
May 2021
Apr 2021, Aug 2019, Aug 2014, Jan 2013
Mar 2021
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Feb 2021
Dec 2020
Jun 2020
Feb 2020
Aug 2019, Nov 2019
Sep 2019
Jul 2019
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Jan 2013, Mar 2018,
Feb 2018
Jan 2018
Jul 2017
Nov 2015
2021
2020
2019
2018
2017
2015
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G-Research, London, UK
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VinAI Research, Hanoi, Vietnam
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Adobe Research
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tinyML Foundation
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NVIDIA Research
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Katana Graph, Austin, TX
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AiBee Inc, Pale Alto, CA
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IBM Research Cambridge
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ARM ML Research Lab
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Google Research
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IBM, AI Research Week, Boston, MA
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NEC Labs America
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Alibaba Decision Intelligence Lab, Seattle, WA
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US Army Research Lab, Adelphi, MD
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Samsung Research America, Dallas, TX
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Bell Labs, Murray Hill, NJ
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Banner Alzheimer's Institute, Phoenix, AZ
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Microsoft Research Asia
Keynote/Invited Talks at Conferences and Workshops
2025
Oct 2025
Sep 2025
May 2025
Apr 2025
Mar 2025
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INFORMS Annual Meeting ("GenAI for Finance" session), Atlanta, GA
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Conference on Automated Machine Learning (AutoML), NYC
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Texas Colloquium on Distributed Learning (TL;DR), Rice University
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ICLR Workshop on Scalable Optimization for Efficient and Adaptive Foundation Models (SCOPE), Singapore
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AAAI Workshop on AI for Time Series Analysis, Philadelphia, PA
Dec 2024
Sep 2024
Jul 2024
Jun 2024
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Apr 2024
Mar 2024
2024
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NeurIPS Edge-Device Large Language Model Competition, Vancouver
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Ukrainian Computer Science Conference, Lviv, Ukraine
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Open AGI Summit "Shaping the Future of Open AI", Bruxelles, Belgium
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CVPR Workshop on Efficient Deep Learning for CV, Seattle, WA
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New York Techweek "Responsible AI in the field of IP"
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NSF Workshop on Hardware-Software Co-design for Neurosymbolic Computation, Washington D.C.
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INFORMS Optimization Society Conference ("Machine Learning for Optimization" invited session), Houston, TX
2023 and earlier
2023
​Dec 2023
Nov 2023
Aug 2023
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Jul 2023
Jun 2023
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​NeurIPS Workshop on ML for Systems, New Orleans, LA
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Google Efficient ML Workshop, NYC
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KDD Workshop on Graph Learning Benchmarks (GLB), LA, CA
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KDD Workshop on Resource-Ecient Learning, LA, CA
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KDD Workshop on Ethical AI: Methods and Applications, LA, CA
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ICML Workshop on New Frontiers in Adversarial ML, Honolulu, HI
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SIAM Conference on Optimization ("Learning to Solve Optimization Problems with Deep Learning" minisymposium), Seattle, WA
Oct 2022
Jul 2022
Jun 2022
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May 2022
Apr 2022
​Mar 2022
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Google Sparse Models Workshop
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ICML Workshop on Interpretable ML in Healthcare, Baltimore, MD
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CVPR Workshop on Efficient Deep Learning for CV, New Orleans, LA
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CVPR Workshop on Dynamic NNs meets CV, New Orleans, LA
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Knowledge Graph Conference, New York, NY
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SIAM UQ Conference ("Deep Learning for Optimization" minisymposium), Atlanta, GA
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Annual Conference on Information Sciences and Systems (CISS), AdvML session, Princeton, NJ
2022
​Aug 2021
Jan 2021
Jul 2020
Jan 2019
Jan 2019
Jun 2018
Nov 2017
Oct 2017
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​KDD Workshop on Knowledge Graph (KGKDD)
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WACV Workshop on Vision on Biased or Scarce Data
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DAC Workshop on Research Open Automatic Design for NNs
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AFC/ARL Workshop on Holistic Scene Understanding, Austin, TX
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AAAI Workshop on AI for Natural Disasters, Holunulu, HI
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SIAM Imaging Science Conference ("Data-Driven Approaches in Imaging Science" minisymposium), Bologna, Italy
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Supercomputing Conference (Lenovo awardee), Denver, CO
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CCC Symposium on Addressing National Priorities and Societal Needs (Selected faculty presenter), Washington D.C.