Research

My research interests include statistical modeling, learning, and computer vision. My current research mainly focuses on generative learning of hierarchical model and sampling from high dimensional distributions.

•2012.9 - now. Center for Vision, Cognition, Learning, and Autonomy, UCLA.
 Generative modeling and learning of hierarchical model.

•2010.7 - 2012.7 Lotus Hill Institute and BUPT, Wuhan and Beijing.
 Robust vehicle detection and some other research.

•2009.7 - 2012.3 Lab for Optoelectronics and Information System, BIT.
 Augmented Reality in scene recognition and image retrieve.

  Projects and Publications

Learning FRAME Models Using CNN Filters

Yang Lu , Song-Chun Zhu , and Ying Nian Wu

AAAI 2016, accepted.   [pdf]

[Project page]

Inducing Wavelets into Random Fields via Generative Boosting

Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu

Applied and Computational Harmonic Analysis, 2015.   [pdf]

[Project page]

Generative Modeling of Convolutional Neural Networks

Jifeng Dai, Yang Lu, and Ying Nian Wu

ICLR, 2015.  [pdf]

[Project page ]

Online Object Tracking, Learning and Parsing with And-Or Graphs

Yang Lu, Tianfu Wu* and Song-Chun Zhu

CVPR, 2014.  [pdf]

[Project page]

Reconfigurable Templates for Robust Vehicle Detection and Classification

Y. Lu, B. Yao, Y. Wang and S.C. Zhu

Workshop on Application of Computer Vision (WACV), Colorado, 2012.  [pdf]

  Education

•2012.9 - now. PhD candidate, Department of Statistics, University of California, Los Angeles, United States.
•2009.9 - 2012.3. M.S., Department of Computer Science, Beijing Institute of Technology, Beijing, China.
•2005.9 - 2009.7. B.S., Department of Computer Science, Beijing Institute of Technology, Beijing, China.