Yahoo Web Search

Search results

1. www.cs.utexas.edu › ~lqiangQiang Liu - University of Texas at Austin

   www.cs.utexas.edu › ~lqiang

   • Cached

   I am interested in mathematical and computational techniques for statistical learning, inference and making decision out of data and knowledge. I am interested in both investigating algorithmic foundations and cutting-edge applications. <My Google scholar>.

   • intro

     Rectified flow ( [ LGL22], [ Liu22]) is a simple approach to...

   • slides

     Qiang Liu UT Austin December 20, 2019 Liu et al. December...

   • Stein Variational Inference

     Liu, Lee, Jordan; ICML, 2016, [A short note], [code: matlab,...

   • Publications

     Qiang Liu, Dilin Wang; NeurIPS 2018 Breaking the Curse of...

   • Co-Organized Workshops

     Qiang Liu. Home. Group. Publications. Talks/Slides....

   • Qiang Liu

     Qiang Liu. Associate Professor. Dr. Liu leads the...

   • Machine Learning Laboratory

     Graphical Models, Reinforcement Learning, Bayesian...

2. Images

   • 
   • 
   • 
   • 
   • 
   • 

   View all

3. scholar.google.com › citations‪Qiang Liu‬ - ‪Google Scholar‬

   scholar.google.com › citations

   • Cached

   Q Liu. Advances in neural information processing systems, 3115-3123. , 2017. 281. 2017. Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and susceptibility to UVB-induced DNA damage in the epidermis. M Geyfman, V Kumar, Q Liu, R Ruiz, W Gordon, F Espitia, E Cam, ...

4. www.cs.utexas.edu › faculty-researchers › qiang-liuQiang Liu | Department of Computer Science

   www.cs.utexas.edu › faculty-researchers › qiang-liu

   • Cached

   Qiang Liu. Associate Professor. Dr. Liu leads the Statistical Learning & AI Group at UT, and has had several recent publications in advanced machine learning. His research group had four papers accepted at this year’s International Conference on Machine Learning, and two papers accepted at the International Conference on Learning Representations.

5. www.cs.utexas.edu › ~lqiang › rectflowRectified Flow — Rectified Flow - University of Texas at Austin

   www.cs.utexas.edu › ~lqiang › rectflow

   • Cached

   Rectified flow ( [ LGL22], [ Liu22]) is a simple approach to finding a transport map between two empirically observed distributions by learning an ordinary differential equation (ODE), a.k.a. flow, model with the key idea of traveling in straight paths as much as possible.

6. utdirect.utexas.edu › apps › studentQiang Liu - University of Texas at Austin

   utdirect.utexas.edu › apps › student

   Research Interests. Statistical machine learning, Reinforcement learning probabilistic graphical models, Bayesian inference, deep learning, human computation and crowdsourcing, and other data-driven applications.

7. scholar.google.com › citations‪Qiang Liu‬ - ‪Google Scholar‬

   scholar.google.com › citations

   • Cached

   282. 2024. Image as a foreign language: Beit pretraining for all vision and vision-language tasks. W Wang, H Bao, L Dong, J Bjorck, Z Peng, Q Liu, K Aggarwal, ... arXiv preprint arXiv:2208.10442. , 2022. 243. 2022. Vlmo: Unified vision-language pre-training with mixture-of-modality-experts.

8. ml.utexas.edu › node › 96Qiang Liu | Machine Learning Laboratory

   ml.utexas.edu › node › 96

   • Cached

   Graphical Models, Reinforcement Learning, Bayesian Inference, Variational Inference, Deep Learning