Ying Nian Wu

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song-chun zhuProfessor of Statistics and Computer Science, UCLAVerified email at stat.ucla.edu
Jianwen XieStaff Research Scientist, Baidu Research, USAVerified email at g.ucla.edu
RUIQI GAOResearch Scientist, Google BrainVerified email at google.com
Quanshi ZhangShanghai Jiao Tong University, Interpretable Machine LearningVerified email at g.ucla.edu
Tian HanStevens Insititute of TechnologyVerified email at stevens.edu
Cheng-en GuoGoogle IncVerified email at google.com
Yang LuUCLAVerified email at ucla.edu
Yi XingProfessor, Children's Hospital of Philadelphia & University of PennsylvaniaVerified email at ucla.edu
Stefano SoattoProfessor of Computer Science, UCLAVerified email at ucla.edu
Gianfranco DorettoAssociate Professor of Computer Science and Electrical Engineering, West Virginia UniversityVerified email at mail.wvu.edu
Zhangzhang SiGoogle Inc.Verified email at stat.ucla.edu
Ruiming CaoUniversity of California, BerkeleyVerified email at berkeley.edu
Shihao ShenScientist II, Children's Hospital of PhiladelphiaVerified email at email.chop.edu
Donald B RubinYCMS Tsinghua; Senior Research Fellow at Fox / Temple U, Emeritus at Harvard UVerified email at temple.edu
Chuanhai LiuProfessor of Statistics, Purdue UniversityVerified email at purdue.edu
Bing Ren, Ph.D.Ludwig Institute for Cancer Research, University of California, San DiegoVerified email at ucsd.edu
Haifeng Gong (龚海峰)Google; University of Pennsylvania; UCLAVerified email at google.com
Ray-Bing ChenDepartment of Statistics, National Cheng Kung UniversityVerified email at ncku.edu.tw
Xiuwen LiuDepartment of Computer Science, Florida State UniversityVerified email at cs.fsu.edu
Wenze HuDepartment of Statistics, University of California, Los AngelesVerified email at ucla.edu

Ying Nian Wu

UCLA Department of Statistics

Verified email at stat.ucla.edu - Homepage

Generative modeling Unsupervised learning Representation learning Computer vision Bioinformatics


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rMATS: robust and flexible detection of differential alternative splicing from replicate RNA-Seq data S Shen, JW Park, Z Lu, L Lin, MD Henry, YN Wu, Q Zhou, Y Xing Proceedings of the National Academy of Sciences 111 (51), E5593-E5601, 2014	1231	2014
A high-resolution map of active promoters in the human genome TH Kim, LO Barrera, M Zheng, C Qu, MA Singer, TA Richmond, Y Wu, ... Nature 436 (7052), 876-880, 2005	1153	2005
Dynamic textures G Doretto, A Chiuso, YN Wu, S Soatto International Journal of Computer Vision 51 (2), 91-109, 2003	1129	2003
Filters, random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling SC Zhu, Y Wu, D Mumford International Journal of Computer Vision 27 (2), 107-126, 1998	979	1998
Interpretable convolutional neural networks Q Zhang, YN Wu, SC Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2018	574	2018
Minimax entropy principle and its application to texture modeling SC Zhu, YN Wu, D Mumford Neural computation 9 (8), 1627-1660, 1997	563	1997
Parameter expansion to accelerate EM: the PX-EM algorithm C Liu, DB Rubin, YN Wu Biometrika 85 (4), 755-770, 1998	497	1998
Parameter expansion for data augmentation JS Liu, YN Wu Journal of the American Statistical Association 94 (448), 1264-1274, 1999	437	1999
Dynamic texture recognition P Saisan, G Doretto, YN Wu, S Soatto Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	417	2001
Dynamic textures S Soatto, G Doretto, YN Wu Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001	378	2001
What are textons? SC Zhu, CE Guo, Y Wang, Z Xu International Journal of Computer Vision 62 (1), 121-143, 2005	369	2005
Efficient algorithms for robust estimation in linear mixed-effects models using the multivariate t distribution JC Pinheiro, C Liu, YN Wu Journal of Computational and Graphical Statistics 10 (2), 249-276, 2001	369	2001
Interpreting cnns via decision trees Q Zhang, Y Yang, H Ma, YN Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	247	2019
Multi-agent tensor fusion for contextual trajectory prediction T Zhao, Y Xu, M Monfort, W Choi, C Baker, Y Zhao, Y Wang, YN Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	243	2019
A theory of generative convnet J Xie, Y Lu, SC Zhu, Y Wu International Conference on Machine Learning, 2635-2644, 2016	202	2016
Learning active basis model for object detection and recognition YN Wu, Z Si, H Gong, SC Zhu International journal of computer vision 90 (2), 198-235, 2010	201	2010
Interpreting cnn knowledge via an explanatory graph Q Zhang, R Cao, F Shi, YN Wu, SC Zhu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	174	2018
Exploring texture ensembles by efficient Markov chain Monte Carlo-Toward a" trichromacy" theory of texture SC Zhu, XW Liu, YN Wu IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (6), 554-569, 2000	171	2000
Towards a mathematical theory of primal sketch and sketchability C Guo, SC Zhu, YN Wu Proceedings Ninth IEEE International Conference on Computer Vision, 1228-1235, 2003	150	2003
Primal sketch: Integrating structure and texture C Guo, SC Zhu, YN Wu Computer Vision and Image Understanding 106 (1), 5-19, 2007	143	2007

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