Ying Nian Wu
Ying Nian Wu
UCLA Department of Statistics
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Cited by
Cited by
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
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
Dynamic textures
G Doretto, A Chiuso, YN Wu, S Soatto
International journal of computer vision 51, 91-109, 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
Interpretable convolutional neural networks
Q Zhang, YN Wu, SC Zhu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Minimax entropy principle and its application to texture modeling
SC Zhu, YN Wu, D Mumford
Neural computation 9 (8), 1627-1660, 1997
Parameter expansion to accelerate EM: the PX-EM algorithm
C Liu, DB Rubin, YN Wu
Biometrika 85 (4), 755-770, 1998
Parameter expansion for data augmentation
JS Liu, YN Wu
Journal of the American Statistical Association 94 (448), 1264-1274, 1999
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
Dynamic texture recognition
P Saisan, G Doretto, YN Wu, S Soatto
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 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
Dynamic textures
S Soatto, G Doretto, YN Wu
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 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
Deep learning with tensorflow: A review
B Pang, E Nijkamp, YN Wu
Journal of Educational and Behavioral Statistics 45 (2), 227-248, 2020
A theory of generative convnet
J Xie, Y Lu, SC Zhu, Y Wu
International conference on machine learning, 2635-2644, 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
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
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
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
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
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