Ying Nian Wu

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song-chun zhuProfessor of Statistics and Computer Science, UCLAVerified email at stat.ucla.edu
Jianwen XieResearch ScientistVerified email at g.ucla.edu
RUIQI GAOResearch Scientist, Google DeepMindVerified email at google.com
Quanshi ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Erik NijkampSalesforce ResearchVerified email at ucla.edu
Tian HanStevens Insititute of TechnologyVerified email at stevens.edu
Bo PangUCLAVerified email at salesforce.com
Yixin ZhuAssistant Professor, Peking UniversityVerified email at pku.edu.cn
Yang LuUCLAVerified email at ucla.edu
Yi XingProfessor, Children's Hospital of Philadelphia & University of PennsylvaniaVerified email at ucla.edu
David MumfordProfessor Emeritus, Harvard and Brown UniversitiesVerified email at brown.edu
Zilong Zheng (郑子隆)UCLA CS PhDVerified email at ucla.edu
Gianfranco DorettoWest Virginia UniversityVerified email at mail.wvu.edu
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIVerified email at ucla.edu
Siyuan HuangBeijing Institute for General Artificial Intelligence (BIGAI)Verified email at ucla.edu
Yifei XuUniversity of California, Los AngelesVerified email at ucla.edu
Ruiming CaoUniversity of California, BerkeleyVerified email at berkeley.edu
Zhangzhang SiGoogle Inc.Verified email at stat.ucla.edu
Feng GaoPh.D., UCLA; Applied Scientist, Amazon Store Foundation AI (SFAI)Verified email at ucla.edu
Lan LinAssistant professor, UPennVerified email at chop.edu

Ying Nian Wu

Other namesYingnian Wu

UCLA Department of Statistics and Data Science

Verified email at stat.ucla.edu - Homepage

Generative AI Representation learning Computer vision Computational neuroscience 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	2281	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	1211	2005
Dynamic textures G Doretto, A Chiuso, YN Wu, S Soatto International journal of computer vision 51, 91-109, 2003	1182	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	1043	1998
Interpretable convolutional neural networks Q Zhang, YN Wu, SC Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2018	1013	2018
Minimax entropy principle and its application to texture modeling SC Zhu, YN Wu, D Mumford Neural computation 9 (8), 1627-1660, 1997	590	1997
Parameter expansion to accelerate EM: the PX-EM algorithm C Liu, DB Rubin, YN Wu Biometrika, 755-770, 1998	558	1998
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	531	2019
Deep learning with tensorflow: A review B Pang, E Nijkamp, YN Wu Journal of Educational and Behavioral Statistics 45 (2), 227-248, 2020	504	2020
Parameter expansion for data augmentation JS Liu, YN Wu Journal of the American Statistical Association 94 (448), 1264-1274, 1999	487	1999
Dynamic texture recognition P Saisan, G Doretto, YN Wu, S Soatto Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	441	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	425	2019
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	421	2001
Dynamic textures S Soatto, G Doretto, YN Wu Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001	403	2001
Chameleon: Plug-and-play compositional reasoning with large language models P Lu, B Peng, H Cheng, M Galley, KW Chang, YN Wu, SC Zhu, J Gao Advances in Neural Information Processing Systems 36, 2024	399	2024
A theory of generative convnet J Xie, Y Lu, SC Zhu, Y Wu International conference on machine learning, 2635-2644, 2016	363	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	286	2018
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	270	2019
Dynamic prompt learning via policy gradient for semi-structured mathematical reasoning P Lu, L Qiu, KW Chang, YN Wu, SC Zhu, T Rajpurohit, P Clark, A Kalyan arXiv preprint arXiv:2209.14610, 2022	228	2022
Learning active basis model for object detection and recognition YN Wu, Z Si, H Gong, SC Zhu International journal of computer vision 90, 198-235, 2010	216	2010

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