Mingyuan Zhou

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Bo ChenProfessor at School of Electronic Engineering, Xidian UniversityVerified email at mail.xidian.edu.cn
Lawrence CarinDuke UniversityVerified email at duke.edu
Xiaoning QianTexas A&M UniversityVerified email at ece.tamu.edu
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu
Huangjie ZhengUniversity 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
Chaojie WangResearch Fellow, Nanyang Technological UniversityVerified email at ntu.edu.sg
Mingzhang YinUniversity of FloridaVerified email at ufl.edu
Lingbo LiApple IncVerified email at duke.edu
Hao ZhangXidian UniversityVerified email at xidian.edu.cn
Zhibin Duanxidian universityVerified email at stu.xidian.edu.cn
Ehsan HajiramezanaliPrincipal Research Scientist, GenentechVerified email at gene.com
John PaisleyColumbia UniversityVerified email at columbia.edu
Shujian ZhangUniversity of Texas at AustinVerified email at utexas.edu
Siamak Zamani DadanehTexas A&M UniversityVerified email at tamu.edu
Zhendong WangUniversity of Texas at AustinVerified email at utexas.edu
Yulai CongECE, Duke UniversityVerified email at duke.edu
Arman HasanzadehSoftware Engineer, GoogleVerified email at google.com
Pengcheng HeMicrosoftVerified email at microsoft.com
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu

Mingyuan Zhou

Associate Professor, University of Texas at Austin

Verified email at mccombs.utexas.edu - Homepage

Machine Learning Bayesian Statistics Deep Learning Discrete Data Analysis


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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	459	2012
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations M Zhou, H Chen, J Paisley, L Ren, G Sapiro, L Carin NIPS 2009, 2009	320	2009
Beta-Negative Binomial Process and Poisson Factor Analysis M Zhou, L Hannah, D Dunson, L Carin AISTATS 2012, 2011	287	2011
Negative binomial process count and mixture modeling M Zhou, L Carin IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (2), 307-320, 2015	248	2015
Masking: A New Perspective of Noisy Supervision B Han, J Yao, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama NeurIPS 2018, 2018	222	2018
Meta-Learning without Memorization M Yin, G Tucker, M Zhou, S Levine, C Finn ICLR 2020, 2019	186	2019
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022	176	2022
Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction M Zhou AISTATS 2015, 2015	166	2015
Variational graph recurrent neural networks E Hajiramezanali, A Hasanzadeh, K Narayanan, N Duffield, M Zhou, ... NeurIPS 2019, 10701-10711, 2019	140	2019
Semi-Implicit Variational Inference M Yin, M Zhou ICML 2018, 2018	134	2018
Dictionary Learning for Noisy and Incomplete Hyperspectral Images Z Xing, M Zhou, A Castrodad, G Sapiro, L Carin SIAM Journal on Imaging Sciences 5, 33, 2012	133	2012
Lognormal and Gamma Mixed Negative Binomial Regression M Zhou, L Li, D Dunson, L Carin ICML 2012, 2012	132	2012
Semi-implicit graph variational auto-encoders A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ... Advances in neural information processing systems 32, 2019	103	2019
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling H Zhang, B Chen, D Guo, M Zhou ICLR 2018, 2018	103	2018
A Bayesian nonparametric approach to image super-resolution G Polatkan, M Zhou, L Carin, D Blei, I Daubechies Pattern Analysis and Machine Intelligence, IEEE Transactions on 37 (2), 346-358, 2015	100	2015
Augmentable gamma belief networks M Zhou, Y Cong, B Chen Journal of Machine Learning Research 17 (163), 1-44, 2016	94*	2016
Dependent hierarchical beta process for image interpolation and denoising M Zhou, H Yang, G Sapiro, D Dunson, L Carin AISTATS 2011, 2011	90	2011
Bayesian Graph Neural Networks with Adaptive Connection Sampling A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ... ICML 2020, 2020	88	2020
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations A Schein, M Zhou, DM Blei, H Wallach ICML 2016, 2016	83	2016
Adversarially Adaptive Normalization for Single Domain Generalization X Fan, Q Wang, J Ke, F Yang, B Gong, M Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	76	2021

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