| A theory of generative convnet J Xie, Y Lu, SC Zhu, Y Wu International conference on machine learning, 2635-2644, 2016 | 353 | 2016 |
| Cooperative training of descriptor and generator networks J Xie, Y Lu, SC Zhu, YN Wu AAAI, 2018, 2018 | 156 | 2018 |
| Alternating Back-Propagation for Generator Network. T Han, Y Lu, SC Zhu, YN Wu AAAI, 2017, 1976-1984, 2017 | 155 | 2017 |
| Online object tracking, learning and parsing with and-or graphs Y Lu, T Wu, S Chun Zhu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 101 | 2014 |
| Learning frame models using cnn filters Y Lu, SC Zhu, YN Wu AAAI, 2016, 2015 | 96 | 2015 |
| Cooperative learning of energy-based model and latent variable model via MCMC teaching J Xie, Y Lu, R Gao, YN Wu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 93 | 2018 |
| Generative modeling of convolutional neural networks J Dai, Y Lu, YN Wu arXiv preprint arXiv:1412.6296, 2014 | 84 | 2014 |
| Inducing wavelets into random fields via generative boosting J Xie, Y Lu, SC Zhu, YN Wu Applied and Computational Harmonic Analysis 41 (1), 4-25, 2016 | 26 | 2016 |
| Sparse and deep generalizations of the frame model YN Wu, J Xie, Y Lu, SC Zhu Annals of Mathematical Sciences and Applications 3 (1), 211-254, 2018 | 14 | 2018 |
| Reconfigurable templates for robust vehicle detection and classification Y Lv, B Yao, Y Wang, SC Zhu 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 321-328, 2012 | 12 | 2012 |
| Learning generator networks for dynamic patterns T Han, Y Lu, J Wu, X Xing, YN Wu 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 809-818, 2019 | 10 | 2019 |
| Exploring generative perspective of convolutional neural networks by learning random field models Y Lu, R Gao, SC Zhu, YN Wu Statistics and Its Interface 11 (3), 515-529, 2018 | 5 | 2018 |
| Learning multi-grid generative convnets by minimal contrastive divergence R Gao, Y Lu, J Zhou, SC Zhu, YN Wu arXiv preprint arXiv:1709.08868, 2017 | 4 | 2017 |
| ProductNet: a Collection of High-Quality Datasets for Product Representation Learning C Wang, L Tang, Y Lu, S Bian, H Fujita, D Zhang, Z Zhang, Y Wu Companion Proceedings of The 2019 World Wide Web Conference, 411-414, 2019 | 2 | 2019 |
| Learning generative convnet with continuous latent factors by alternating back-propagation T Han, Y Lu, SC Zhu, YN Wu CoRR, abs/1606.08571 4, 2016 | 2 | 2016 |
| Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling R Gao, Y Lu, J Zhou, SC Zhu, YN Wu arXiv preprint arXiv:1709.08868, 2017 | 1 | 2017 |
Ying Nian WuUCLA Department of StatisticsVerified email at stat.ucla.edu
