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
Huangjie ZhengApple Machine Learning ResearchVerified email at apple.com
Xiaoning QianTexas A&M UniversityVerified email at ece.tamu.edu
Zhendong WangUniversity of Texas at AustinVerified email at utexas.edu
Zhibin Duanxidian universityVerified email at stu.xidian.edu.cn
Chaojie WangAI Researcher, Skywork AIVerified email at kunlun-inc.com
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu
Shujian ZhangUniversity of Texas at AustinVerified email at utexas.edu
Mingzhang YinAssistant Professor, University of FloridaVerified email at ufl.edu
Pengcheng HeMicrosoftVerified email at microsoft.com
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Eng., Apple; Prof. Emeritus, Duke U.Verified email at princeton.edu
Weizhu ChenMicrosoftVerified email at microsoft.com
Ehsan HajiramezanaliPrincipal Research Scientist, GenentechVerified email at gene.com
Hao ZhangXidian UniversityVerified email at xidian.edu.cn
Lingbo LiApple IncVerified email at duke.edu
Siamak Zamani DadanehTexas A&M UniversityVerified email at tamu.edu
John PaisleyColumbia UniversityVerified email at columbia.edu
Arman HasanzadehSoftware Engineer, GoogleVerified email at google.com
Dongsheng WangAssistant professor at Shenzhen UniversityVerified email at szu.edu.cn

Mingyuan Zhou

Associate Professor, University of Texas at Austin

Verified email at mccombs.utexas.edu - Homepage

Machine Learning Deep Learning Bayesian Statistics 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	475	2012
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Z Wang, JJ Hunt, M Zhou ICLR 2023, 2022	359	2022
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	343*	2022
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations M Zhou, H Chen, J Paisley, L Ren, G Sapiro, L Carin NIPS 2009, 2009	341	2009
Masking: A New Perspective of Noisy Supervision B Han, J Yao, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama NeurIPS 2018, 2018	297	2018
Beta-Negative Binomial Process and Poisson Factor Analysis M Zhou, L Hannah, D Dunson, L Carin AISTATS 2012, 2011	297	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	280	2015
Diffusion-GAN: Training GANs with Diffusion Z Wang, H Zheng, P He, W Chen, M Zhou ICLR 2023, 2022	274	2022
Meta-Learning without Memorization M Yin, G Tucker, M Zhou, S Levine, C Finn ICLR 2020, 2019	244	2019
Variational graph recurrent neural networks E Hajiramezanali, A Hasanzadeh, K Narayanan, N Duffield, M Zhou, ... NeurIPS 2019, 10701-10711, 2019	243	2019
Patch diffusion: Faster and more data-efficient training of diffusion models Z Wang, Y Jiang, H Zheng, P Wang, P He, Z Wang, W Chen, M Zhou Advances in Neural Information Processing Systems 36, 2023	224	2023
Semi-Implicit Variational Inference M Yin, M Zhou ICML 2018, 2018	179	2018
Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction M Zhou AISTATS 2015, 2015	178	2015
Semi-implicit graph variational auto-encoders A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ... Advances in neural information processing systems 32, 2019	167	2019
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	156	2021
Lognormal and Gamma Mixed Negative Binomial Regression M Zhou, L Li, D Dunson, L Carin ICML 2012, 2012	154	2012
Bayesian Graph Neural Networks with Adaptive Connection Sampling A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ... ICML 2020, 2020	152	2020
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	142	2012
Card: Classification and regression diffusion models X Han, H Zheng, M Zhou Advances in Neural Information Processing Systems 35, 18100-18115, 2022	131	2022
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling H Zhang, B Chen, D Guo, M Zhou ICLR 2018, 2018	126	2018

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