John Paisley

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	All	Since 2019
Citations	14346	10276
h-index	44	36
i10-index	79	65

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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
Delu ZengProfessor with EE in South China University of TechnologyVerified email at scut.edu.cn
Chong WangAppleVerified email at cs.princeton.edu
Mingyuan ZhouAssociate Professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Liyan SunStanford UniversityVerified email at stanford.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.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
Marianthi-Anna KioumourtzoglouColumbia University Mailman School of Public Health, Environmental Health SciencesVerified email at cumc.columbia.edu
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Engineer, Health AI Lead, Apple.Verified email at princeton.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	3155	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	1218	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	916	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	701	2016
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	680	2017
Variational Bayesian Inference with Stochastic Search J Paisley, DM Blei, MI Jordan International Conference on Machine Learning (ICML), 2012	622	2012
Online variational inference for the hierarchical Dirichlet process C Wang, J Paisley, D Blei Artificial Intelligence and Statistics (AISTATS), 2011	553	2011
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	469	2012
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	399	2019
Nonparametric factor analysis with beta process priors J Paisley, L Carin International Conference on Machine Learning (ICML), 2009	363	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	334	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	332	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	308	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	292	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	270	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	207	2010
Variational Inference via Upper Bound Minimization AB Dieng, D Tran, R Ranganath, J Paisley, D Blei Advances in Neural Information Processing Systems, 2017	186	2017
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	166*	2019
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	159	2014
An adversarial learning approach to medical image synthesis for lesion detection L Sun, J Wang, Y Huang, X Ding, H Greenspan, J Paisley IEEE journal of biomedical and health informatics 24 (8), 2303-2314, 2020	132	2020

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