Ying Nian Wu

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	总计	2018 年至今
引用	15573	8232
h 指数	53	44
i10 指数	120	102

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song-chun zhuProfessor of Statistics and Computer Science, UCLA在 stat.ucla.edu 的电子邮件经过验证
Jianwen XieStaff Research Scientist, Baidu Research, USA在 g.ucla.edu 的电子邮件经过验证
RUIQI GAOResearch Scientist, Google Brain在 google.com 的电子邮件经过验证
Tian HanStevens Insititute of Technology在 stevens.edu 的电子邮件经过验证
Yang LuUCLA在 ucla.edu 的电子邮件经过验证
Cheng-en GuoGoogle Inc在 google.com 的电子邮件经过验证
Yi XingProfessor, Children's Hospital of Philadelphia & University of Pennsylvania在 ucla.edu 的电子邮件经过验证
Stefano SoattoProfessor of Computer Science, UCLA; VP, AWS在 ucla.edu 的电子邮件经过验证
Gianfranco DorettoAssociate Professor of Computer Science and Electrical Engineering, West Virginia University在 mail.wvu.edu 的电子邮件经过验证
Ruiming CaoUniversity of California, Berkeley在 berkeley.edu 的电子邮件经过验证
Zhangzhang SiGoogle Inc.在 stat.ucla.edu 的电子邮件经过验证
Donald B RubinYCMS Tsinghua; Senior Research Fellow at Fox / Temple U, Emeritus at Harvard U在 temple.edu 的电子邮件经过验证
Bing Ren, Ph.D.Ludwig Institute for Cancer Research, University of California, San Diego在 ucsd.edu 的电子邮件经过验证
Haifeng Gong (龚海峰)Google; University of Pennsylvania; UCLA在 google.com 的电子邮件经过验证
Ray-Bing ChenDepartment of Statistics, National Cheng Kung University在 ncku.edu.tw 的电子邮件经过验证
Chuanhai LiuProfessor of Statistics, Purdue University在 purdue.edu 的电子邮件经过验证
Xiuwen LiuDepartment of Computer Science, Florida State University在 cs.fsu.edu 的电子邮件经过验证
Wenze HuDepartment of Statistics, University of California, Los Angeles在 ucla.edu 的电子邮件经过验证
Jifeng DaiAssociate Professor of EE, Tsinghua University; Adjuct Researcher of Shanghai AI Laboratory在 tsinghua.edu.cn 的电子邮件经过验证
Shihao Shen

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Ying Nian Wu

UCLA Department of Statistics

在 stat.ucla.edu 的电子邮件经过验证 - 首页

Generative modeling Unsupervised learning Representation learning Computer vision Bioinformatics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	1551	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	1171	2005
Dynamic textures G Doretto, A Chiuso, YN Wu, S Soatto International Journal of Computer Vision 51, 91-109, 2003	1156	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, 107-126, 1998	1011	1998
Interpretable convolutional neural networks Q Zhang, YN Wu, SC Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2018	730	2018
Minimax entropy principle and its application to texture modeling SC Zhu, YN Wu, D Mumford Neural computation 9 (8), 1627-1660, 1997	572	1997
Parameter expansion to accelerate EM: the PX-EM algorithm C Liu, DB Rubin, YN Wu Biometrika 85 (4), 755-770, 1998	524	1998
Parameter expansion for data augmentation JS Liu, YN Wu Journal of the American Statistical Association 94 (448), 1264-1274, 1999	451	1999
Dynamic texture recognition P Saisan, G Doretto, YN Wu, S Soatto Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	430	2001
Dynamic textures S Soatto, G Doretto, YN Wu Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001	391	2001
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	387	2001
Textons SC Zhu, Y Wu Computer Vision: Statistical Models for Marr's Paradigm, 97-130, 2022	379*	2022
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	331	2019
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	312	2019
A theory of generative convnet J Xie, Y Lu, SC Zhu, Y Wu International Conference on Machine Learning, 2635-2644, 2016	258	2016
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	214	2018
Learning active basis model for object detection and recognition YN Wu, Z Si, H Gong, SC Zhu International journal of computer vision 90 (2), 2010	207	2010
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	178	2000
Learning non-convergent non-persistent short-run MCMC toward energy-based model E Nijkamp, M Hill, SC Zhu, YN Wu Advances in Neural Information Processing Systems 32, 2019	174	2019
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	155	2003

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