John Paisley

Cited by

	All	Since 2018
Citations	11171	8062
h-index	40	33
i10-index	75	62

2000

1000

500

1500

2010201120122013201420152016201720182019202020212022202372 143 199 328 425 541 652 650 950 1312 1546 1811 1997 435

Public access

View all

33 articles

2 articles

available

not available

Based on funding mandates

Co-authors

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 CarinProvost, King Abdullah University of Science & Technology (KAUST)Verified email at kaust.edu.sa
Xueyang Fu (傅雪阳)University of Science and Technology of ChinaVerified email at ustc.edu.cn
Chong WangAppleVerified email at cs.princeton.edu
Mingyuan ZhouAssociate Professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Delu ZengProfessor with EE in South China University of TechnologyVerified email at scut.edu.cn
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
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu
Jiabin HuangUnder postgraduate student of electronic and communication engineering, Xiamen UniversityVerified email at stu.xmu.edu.cn
Lu RenYahoo! IncVerified email at yahoo-inc.com
Aonan ZhangByteDanceVerified email at bytedance.com
San GultekinYahoo! Research, Columbia UniversityVerified email at columbia.edu
Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.Verified email at duke.edu
Zhiwen FanUniversity of Texas at AustinVerified email at utexas.edu
Minhua ChenMetaVerified email at alumni.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

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	2633	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	791	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	661	2017
Variational Bayesian Inference with Stochastic Search J Paisley, DM Blei, MI Jordan International Conference on Machine Learning (ICML), 2012	528	2012
Online variational inference for the hierarchical Dirichlet process C Wang, J Paisley, D Blei Artificial Intelligence and Statistics (AISTATS), 2011	517	2011
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	467	2016
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	444	2012
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	414	2017
Nonparametric factor analysis with beta process priors J Paisley, L Carin International Conference on Machine Learning (ICML), 2009	333	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	314	2009
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	272	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	266	2015
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	251	2019
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	244	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	212	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	200	2010
Variational Inference via Upper Bound Minimization AB Dieng, D Tran, R Ranganath, J Paisley, D Blei Advances in Neural Information Processing Systems, 2017	156	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	148	2014
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	109*	2015
Music analysis using hidden markov mixture models Y Qi, JW Paisley, L Carin IEEE Transactions on Signal Processing 55 (11), 5209-5224, 2007	98	2007

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors