Ming Yuan

According to our database, Ming Yuan authored at least 42 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multiple Testing of Linear Forms for Noisy Matrix Completion.

Wanteng Ma, Lilun Du, Dong Xia, Ming Yuan

CoRR, 2023

Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model.

Runshi Tang, Ming Yuan, Anru R. Zhang

CoRR, 2023

2022

On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors.

Arnab Auddy, Ming Yuan

IEEE Trans. Inf. Theory, 2022

Fuzzy hierarchical network embedding fusing structural and neighbor information.

Qun Liu, Hang Shu, Ming Yuan, Guoyin Wang

Inf. Sci., 2022

2021

Effective Tensor Sketching via Sparsification.

Dong Xia, Ming Yuan

IEEE Trans. Inf. Theory, 2021

Revisiting colocalization via optimal transport.

Shulei Wang, Ming Yuan

Nat. Comput. Sci., 2021

A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration.

Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang

J. Mach. Learn. Res., 2021

On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests.

Krishnakumar Balasubramanian, Tong Li, Ming Yuan

J. Mach. Learn. Res., 2021

HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference.

Ming Yuan, Qun Liu, Guoyin Wang, Yike Guo

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020

ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching.

Anru R. Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan

SIAM J. Math. Data Sci., 2020

2019

Spatially Adaptive Colocalization Analysis in Dual-Color Fluorescence Microscopy.

Shulei Wang, Ellen T. Arena, Jordan T. Becker, William M. Bement, Nathan M. Sherer, Kevin W. Eliceiri, Ming Yuan

IEEE Trans. Image Process., 2019

Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression.

Han Chen, Garvesh Raskutti, Ming Yuan

J. Mach. Learn. Res., 2019

On Polynomial Time Methods for Exact Low-Rank Tensor Completion.

Dong Xia, Ming Yuan

Found. Comput. Math., 2019

Statistical Inferences of Linear Forms for Noisy Matrix Completion.

Dong Xia, Ming Yuan

CoRR, 2019

2018

Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach.

Shulei Wang, Ellen T. Arena, Kevin W. Eliceiri, Ming Yuan

IEEE Trans. Image Process., 2018

Quantifying predictive capability of electronic health records for the most harmful breast cancer.

Yirong Wu, Jun Fan, Peggy L. Peissig, Richard L. Berg, Ahmad Pahlavan Tafti, Jie Yin, Ming Yuan, David Page, Jennifer Cox, Elizabeth S. Burnside

Proceedings of the Medical Imaging 2018: Image Perception, 2018

2017

Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion.

Ming Yuan, Cun-Hui Zhang

IEEE Trans. Inf. Theory, 2017

Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective.

Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh

CoRR, 2017

Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries.

Dong Xia, Ming Yuan, Cun-Hui Zhang

CoRR, 2017

Tensor Sketching: Sparsification and Rank-One Projection.

Dong Xia, Ming Yuan

CoRR, 2017

Breast Cancer Risk Prediction Using Electronic Health Records.

Yirong Wu, Elizabeth S. Burnside, Jennifer Cox, Jun Fan, Ming Yuan, Jie Yin, Peggy L. Peissig, Alexander G. Cobian, David Page, Mark W. Craven

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2016

Structure-Leveraged Methods in Breast Cancer Risk Prediction.

Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside

J. Mach. Learn. Res., 2016

On Tensor Completion via Nuclear Norm Minimization.

Ming Yuan, Cun-Hui Zhang

Found. Comput. Math., 2016

Discriminatory power of common genetic variants in personalized breast cancer diagnosis.

Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2015

Human Memory Search as Initial-Visit Emitting Random Walk.

Kwang-Sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang, Ming Yuan

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Regularized principal components of heritability.

Yixin Fang, Yang Feng, Ming Yuan

Comput. Stat., 2014

Rate-Optimal Detection of Very Short Signal Segments.

T. Tony Cai, Ming Yuan

CoRR, 2014

2013

Radial basis function regularization for linear inverse problems with random noise.

Carlos Valencia, Ming Yuan

J. Multivar. Anal., 2013

2012

Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression.

Zhaosong Lu, Renato D. C. Monteiro, Ming Yuan

Math. Program., 2012

The Nonparanormal SKEPTIC.

Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman

CoRR, 2012

Learning Networks of Heterogeneous Influence.

Nan Du, Le Song, Alexander J. Smola, Ming Yuan

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

High Dimensional Semiparametric Gaussian Copula Graphical Models.

Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models.

Lingyan Ruan, Ming Yuan, Hui Zou

Neural Comput., 2011

Statistical Analysis of Time Course Microarray Data.

Lingyan Ruan, Ming Yuan

Proceedings of the Handbook of Statistical Bioinformatics., 2011

2010

Statistical Methods for Fighting Financial Crimes.

Agus Sudjianto, Sheela Nair, Ming Yuan, Aijun Zhang, Daniel A. Kern, Fernando Cela-Díaz

Technometrics, 2010

2008

Regularized simultaneous model selection in multiple quantiles regression.

Hui Zou, Ming Yuan

Comput. Stat. Data Anal., 2008

Sparse Recovery in Large Ensembles of Kernel Machines On-Line Learning and Bandits.

Vladimir Koltchinskii, Ming Yuan

Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007

Approximate Test Risk Bound Minimization Through Soft Margin Estimation.

Jinyu Li, Ming Yuan, Chin-Hui Lee

IEEE Trans. Speech Audio Process., 2007

Anomaly Detection in High-Dimensional Financial Databases.

Agus Sudjianto, Fernando Cela-Díaz, Aijun Zhang, Ming Yuan

Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

2006

GACV for quantile smoothing splines.

Ming Yuan

Comput. Stat. Data Anal., 2006

Flexible temporal expression profile modelling using the Gaussian process.

Ming Yuan

Comput. Stat. Data Anal., 2006

Soft margin estimation of hidden Markov model parameters.

Jinyu Li, Ming Yuan, Chin-Hui Lee

Proceedings of the INTERSPEECH 2006, 2006