Mingyuan Zhou

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	总计	2018 年至今
引用	4767	3348
h 指数	34	29
i10 指数	80	72

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Lawrence CarinProvost, King Abdullah University of Science & Technology (KAUST)在 kaust.edu.sa 的电子邮件经过验证
Bo ChenProfessor at School of Electronic Engineering, Xidian University在 mail.xidian.edu.cn 的电子邮件经过验证
Xiaoning QianTexas A&M University在 ece.tamu.edu 的电子邮件经过验证
David DunsonArts & Sciences Professor of Statistical Science & Mathematics在 duke.edu 的电子邮件经过验证
Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.在 duke.edu 的电子邮件经过验证
Chaojie WangResearch Fellow, Nanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
Mingzhang YinUniversity of Florida在 ufl.edu 的电子邮件经过验证
Lingbo LiApple Inc在 duke.edu 的电子邮件经过验证
John PaisleyColumbia University在 columbia.edu 的电子邮件经过验证
Hao ZhangXidian University在 xidian.edu.cn 的电子邮件经过验证
Siamak Zamani DadanehTexas A&M University在 tamu.edu 的电子邮件经过验证
Huangjie ZhengUniversity of Texas at Austin在 utexas.edu 的电子邮件经过验证
Ehsan HajiramezanaliPrincipal Research Scientist, Genentech在 gene.com 的电子邮件经过验证
Zhibin Duanxidian university在 stu.xidian.edu.cn 的电子邮件经过验证
Yulai CongECE, Duke University在 duke.edu 的电子邮件经过验证
David BleiProfessor of Statistics and Computer Science, Columbia University在 columbia.edu 的电子邮件经过验证
Arman HasanzadehSoftware Engineer, Google在 google.com 的电子邮件经过验证
Hanna WallachPartner Research Manager, Microsoft Research在 dirichlet.net 的电子邮件经过验证
Aaron ScheinPostdoctoral Fellow in Data Science Institute at Columbia University在 columbia.edu 的电子邮件经过验证
Shujian ZhangUniversity of Texas at Austin在 utexas.edu 的电子邮件经过验证

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Mingyuan Zhou

Associate Professor, University of Texas at Austin

在 mccombs.utexas.edu 的电子邮件经过验证 - 首页

Machine Learning Bayesian Statistics Deep Learning Discrete Data Analysis


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	438	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	312	2009
Beta-Negative Binomial Process and Poisson Factor Analysis M Zhou, L Hannah, D Dunson, L Carin AISTATS 2012, 2011	276	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	230	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	185	2018
Meta-Learning without Memorization M Yin, G Tucker, M Zhou, S Levine, C Finn ICLR 2020, 2019	156	2019
Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction M Zhou AISTATS 2015, 2015	153	2015
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	127	2012
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	121	2022
Semi-Implicit Variational Inference M Yin, M Zhou ICML 2018, 2018	107	2018
Variational graph recurrent neural networks E Hajiramezanali, A Hasanzadeh, K Narayanan, N Duffield, M Zhou, ... NeurIPS 2019, 10701-10711, 2019	105	2019
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	97	2015
Dependent hierarchical beta process for image interpolation and denoising M Zhou, H Yang, G Sapiro, D Dunson, L Carin AISTATS 2011, 2011	88	2011
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling H Zhang, B Chen, D Guo, M Zhou ICLR 2018, 2018	86	2018
Augmentable gamma belief networks M Zhou, Y Cong, B Chen Journal of Machine Learning Research 17 (163), 1-44, 2016	84	2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations A Schein, M Zhou, DM Blei, H Wallach ICML 2016, 2016	74	2016
Semi-implicit graph variational auto-encoders A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ... NeurIPS 2019, 10712-10723, 2019	71	2019
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices A Acharya, J Ghosh, M Zhou AISTATS 2015, 2015	69	2015
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks M Yin, M Zhou ICLR 2019, 2019	63*	2019

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