Mingyuan Zhou

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

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	448	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	316	2009
Beta-Negative Binomial Process and Poisson Factor Analysis M Zhou, L Hannah, D Dunson, L Carin AISTATS 2012, 2011	283	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	235	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	206	2018
Meta-Learning without Memorization M Yin, G Tucker, M Zhou, S Levine, C Finn ICLR 2020, 2019	177	2019
Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction M Zhou AISTATS 2015, 2015	160	2015
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	152	2022
Variational graph recurrent neural networks E Hajiramezanali, A Hasanzadeh, K Narayanan, N Duffield, M Zhou, ... NeurIPS 2019, 10701-10711, 2019	134	2019
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	132	2012
Lognormal and Gamma Mixed Negative Binomial Regression M Zhou, L Li, D Dunson, L Carin ICML 2012, 2012	130	2012
Semi-Implicit Variational Inference M Yin, M Zhou ICML 2018, 2018	121	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	101	2015
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling H Zhang, B Chen, D Guo, M Zhou ICLR 2018, 2018	92	2018
Augmentable gamma belief networks M Zhou, Y Cong, B Chen Journal of Machine Learning Research 17 (163), 1-44, 2016	90*	2016
Semi-implicit graph variational autoencoders E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, M Zhou, ... Proceedings of the 33rd International Conference on Neural Information …, 2019	89*	2019
Dependent hierarchical beta process for image interpolation and denoising M Zhou, H Yang, G Sapiro, D Dunson, L Carin AISTATS 2011, 2011	89	2011
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations A Schein, M Zhou, DM Blei, H Wallach ICML 2016, 2016	79	2016
Bayesian Graph Neural Networks with Adaptive Connection Sampling A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ... ICML 2020, 2020	77	2020
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices A Acharya, J Ghosh, M Zhou AISTATS 2015, 2015	71	2015

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