John Paisley

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Citations	12631	9487
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Xinghao DingVerified email at xmu.edu.cn
Yue HuangProfessor, Xiamen UniversityVerified email at xmu.edu.cn
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Lawrence CarinDuke UniversityVerified email at duke.edu
Xueyang Fu (傅雪阳)University of Science and Technology of ChinaVerified email at ustc.edu.cn
Chong WangAppleVerified email at cs.princeton.edu
Delu ZengProfessor with EE in South China University of TechnologyVerified email at scut.edu.cn
Mingyuan ZhouAssociate Professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Liyan SunStanford UniversityVerified email at stanford.edu
Jiabin HuangUnder postgraduate student of electronic and communication engineering, Xiamen UniversityVerified email at stu.xmu.edu.cn
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu
Lu RenYahoo! IncVerified email at yahoo-inc.com
Aonan ZhangAppleVerified email at apple.com
San GultekinYahoo! Research, Columbia UniversityVerified email at columbia.edu
Zhiwen FanUniversity of Texas at AustinVerified email at utexas.edu
Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.Verified email at duke.edu
Matthew D. HoffmanResearch Scientist, Google ResearchVerified email at google.com
Adji Bousso DiengAssistant Professor of Computer Science, Princeton UniversityVerified email at princeton.edu
Minhua ChenMetaVerified email at alumni.duke.edu

John Paisley

Columbia University

Verified email at columbia.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Stochastic variational inference MD Hoffman, DM Blei, C Wang, J Paisley Journal of Machine Learning Research 14 (1), 1303-1347, 2013	2856	2013
Removing rain from single images via a deep detail network X Fu, J Huang, D Zeng, Y Huang, X Ding, J Paisley IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017	970	2017
Clearing the skies: A deep network architecture for single-image rain removal X Fu, J Huang, X Ding, Y Liao, J Paisley IEEE Transactions on Image Processing 26 (6), 2944-2956, 2017	790	2017
A fusion-based enhancing method for weakly illuminated images X Fu, D Zeng, Y Huang, Y Liao, X Ding, J Paisley Signal Processing 129, 82-96, 2016	597	2016
Variational Bayesian Inference with Stochastic Search J Paisley, DM Blei, MI Jordan International Conference on Machine Learning (ICML), 2012	569	2012
Online variational inference for the hierarchical Dirichlet process C Wang, J Paisley, D Blei Artificial Intelligence and Statistics (AISTATS), 2011	539	2011
PanNet: A deep network architecture for pan-sharpening J Yang, X Fu, Y Hu, Y Huang, X Ding, J Paisley IEEE International Conference on Computer Vision (ICCV), 2017	538	2017
Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images M Zhou, H Chen, J Paisley, L Ren, L Li, Z Xing, D Dunson, G Sapiro, ... IEEE Transactions on Image Processing 21 (1), 130-144, 2012	460	2012
Nonparametric factor analysis with beta process priors J Paisley, L Carin International Conference on Machine Learning (ICML), 2009	345	2009
Non-parametric Bayesian dictionary learning for sparse image representations M Zhou, H Chen, J Paisley, L Ren, G Sapiro, L Carin Advances in Neural Information Processing Systems, 2009	322	2009
Lightweight pyramid networks for image deraining X Fu, B Liang, Y Huang, X Ding, J Paisley IEEE Transactions on Neural Networks and Learning Systems, 2019	320	2019
Hyperspectral image classification with Markov random fields and a convolutional neural network X Cao, F Zhou, L Xu, D Meng, Z Xu, J Paisley IEEE Transactions on image processing 27 (5), 2354-2367, 2018	309	2018
Nested hierarchical Dirichlet processes J Paisley, C Wang, DM Blei, MI Jordan IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (2), 256-270, 2015	289	2015
Topicrnn: A recurrent neural network with long-range semantic dependency AB Dieng, C Wang, J Gao, J Paisley International Conference on Learning Representations (ICLR), 2017	263	2017
Fully supervised speaker diarization A Zhang, Q Wang, Z Zhu, J Paisley, C Wang IEEE International Conference on Acoustics, Speech and Signal Processing, 2019	237	2019
Compressive sensing on manifolds using a nonparametric mixture of factor analyzers: Algorithm and performance bounds M Chen, J Silva, J Paisley, C Wang, D Dunson, L Carin IEEE Transactions on Signal Processing 58 (12), 6140-6155, 2010	202	2010
Variational Inference via Upper Bound Minimization AB Dieng, D Tran, R Ranganath, J Paisley, D Blei Advances in Neural Information Processing Systems, 2017	172	2017
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI Y Huang, J Paisley, Q Lin, X Ding, X Fu, XP Zhang IEEE Transactions on Image Processing 23 (12), 5007-5019, 2014	155	2014
Global explanations of neural networks: Mapping the landscape of predictions M Ibrahim, M Louie, C Modarres, J Paisley Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 279-287, 2019	121*	2019
Bayesian poisson tensor factorization for inferring multilateral relations from sparse dyadic event counts A Schein, J Paisley, DM Blei, H Wallach ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015	120*	2015

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