Mingyuan Zhou

Dikutip oleh

	Semua	Sejak 2020
Kutipan	8955	6671
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98 artikel

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Berdasarkan pada mandat pendanaan

Pengarang bersama

Bo ChenProfessor at School of Electronic Engineering, Xidian UniversityEmail yang diverifikasi di mail.xidian.edu.cn
Lawrence CarinDuke UniversityEmail yang diverifikasi di duke.edu
Huangjie ZhengApple Machine Learning ResearchEmail yang diverifikasi di apple.com
Xiaoning QianTexas A&M UniversityEmail yang diverifikasi di ece.tamu.edu
Zhendong WangUniversity of Texas at AustinEmail yang diverifikasi di utexas.edu
Chaojie WangAI Researcher, Skywork AIEmail yang diverifikasi di kunlun-inc.com
David DunsonArts & Sciences Professor of Statistical Science & MathematicsEmail yang diverifikasi di duke.edu
Zhibin Duanxidian universityEmail yang diverifikasi di stu.xidian.edu.cn
Shujian ZhangUniversity of Texas at AustinEmail yang diverifikasi di utexas.edu
Pengcheng HeMicrosoftEmail yang diverifikasi di microsoft.com
Mingzhang YinAssistant Professor, University of FloridaEmail yang diverifikasi di ufl.edu
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Eng., Apple; Prof. Emeritus, Duke U.Email yang diverifikasi di princeton.edu
Weizhu ChenMicrosoftEmail yang diverifikasi di microsoft.com
Ehsan HajiramezanaliPrincipal Research Scientist, GenentechEmail yang diverifikasi di gene.com
Hao ZhangXidian UniversityEmail yang diverifikasi di xidian.edu.cn
John PaisleyColumbia UniversityEmail yang diverifikasi di columbia.edu
Lingbo LiApple IncEmail yang diverifikasi di duke.edu
Siamak Zamani DadanehTexas A&M UniversityEmail yang diverifikasi di tamu.edu
Arman HasanzadehSoftware Engineer, GoogleEmail yang diverifikasi di google.com
Dongsheng WangAssistant professor at Shenzhen UniversityEmail yang diverifikasi di szu.edu.cn

Ikuti

Mingyuan Zhou

Associate Professor, University of Texas at Austin

Email yang diverifikasi di mccombs.utexas.edu - Beranda

Machine Learning Deep Learning Bayesian Statistics Discrete Data Analysis


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	477	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	336	2009
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	334*	2022
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Z Wang, JJ Hunt, M Zhou ICLR 2023, 2022	322	2022
Beta-Negative Binomial Process and Poisson Factor Analysis M Zhou, L Hannah, D Dunson, L Carin AISTATS 2012, 2011	298	2011
Masking: A New Perspective of Noisy Supervision B Han, J Yao, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama NeurIPS 2018, 2018	296	2018
Negative binomial process count and mixture modeling M Zhou, L Carin IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (2), 307-320, 2015	282	2015
Diffusion-GAN: Training GANs with Diffusion Z Wang, H Zheng, P He, W Chen, M Zhou ICLR 2023, 2022	250	2022
Variational graph recurrent neural networks E Hajiramezanali, A Hasanzadeh, K Narayanan, N Duffield, M Zhou, ... NeurIPS 2019, 10701-10711, 2019	241	2019
Meta-Learning without Memorization M Yin, G Tucker, M Zhou, S Levine, C Finn ICLR 2020, 2019	238	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, 2024	205	2024
Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction M Zhou AISTATS 2015, 2015	182	2015
Semi-Implicit Variational Inference M Yin, M Zhou ICML 2018, 2018	174	2018
Semi-implicit graph variational auto-encoders A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ... Advances in neural information processing systems 32, 2019	165	2019
Bayesian Graph Neural Networks with Adaptive Connection Sampling A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ... ICML 2020, 2020	152	2020
Lognormal and Gamma Mixed Negative Binomial Regression M Zhou, L Li, D Dunson, L Carin ICML 2012, 2012	152	2012
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	148	2021
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	141	2012
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling H Zhang, B Chen, D Guo, M Zhou ICLR 2018, 2018	124	2018
Card: Classification and regression diffusion models X Han, H Zheng, M Zhou Advances in Neural Information Processing Systems 35, 18100-18115, 2022	120	2022

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