| Model selection and estimation in regression with grouped variables M Yuan, Y Lin Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2006 | 9869 | 2006 |
| Model selection and estimation in the Gaussian graphical model M Yuan, Y Lin Biometrika 94 (1), 19-35, 2007 | 2352 | 2007 |
| Composite quantile regression and the oracle model selection theory H Zou, M Yuan | 781 | 2008 |
| High-dimensional semiparametric Gaussian copula graphical models H Liu, F Han, M Yuan, J Lafferty, L Wasserman | 696 | 2012 |
| High dimensional inverse covariance matrix estimation via linear programming M Yuan The Journal of Machine Learning Research 11, 2261-2286, 2010 | 554 | 2010 |
| On the non-negative garrotte estimator M Yuan, Y Lin Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2007 | 460 | 2007 |
| Dimension reduction and coefficient estimation in multivariate linear regression M Yuan, A Ekici, Z Lu, R Monteiro Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2007 | 432 | 2007 |
| A reproducing kernel Hilbert space approach to functional linear regression M Yuan, TT Cai | 388 | 2010 |
| CARM1 methylates chromatin remodeling factor BAF155 to enhance tumor progression and metastasis L Wang, Z Zhao, MB Meyer, S Saha, M Yu, A Guo, KB Wisinski, W Huang, ... Cancer cell 25 (1), 21-36, 2014 | 341 | 2014 |
| On tensor completion via nuclear norm minimization M Yuan, CH Zhang Foundations of Computational Mathematics 16 (4), 1031-1068, 2016 | 329 | 2016 |
| Efficient empirical Bayes variable selection and estimation in linear models M Yuan, Y Lin Journal of the American Statistical Association, 2005 | 285 | 2005 |
| A direct approach to sparse discriminant analysis in ultra-high dimensions Q Mai, H Zou, M Yuan Biometrika 99 (1), 29-42, 2012 | 275 | 2012 |
| Minimax and adaptive prediction for functional linear regression TT Cai, M Yuan Journal of the American Statistical Association 107 (499), 1201-1216, 2012 | 237 | 2012 |
| Sparsity in multiple kernel learning V Koltchinskii, M Yuan | 230 | 2010 |
| Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program MG Edwards, RM Anderson, M Yuan, CM Kendziorski, R Weindruch, ... BMC genomics 8 (1), 80, 2007 | 216 | 2007 |
| Doubly robust learning for estimating individualized treatment with censored data YQ Zhao, D Zeng, EB Laber, R Song, M Yuan, MR Kosorok Biometrika 102 (1), 151-168, 2015 | 215 | 2015 |
| Classification Methods with Reject Option Based on Convex Risk Minimization. M Yuan, M Wegkamp Journal of Machine Learning Research 11 (1), 2010 | 214 | 2010 |
| GACV for quantile smoothing splines M Yuan Computational statistics & data analysis 50 (3), 813-829, 2006 | 212 | 2006 |
| Learning networks of heterogeneous influence N Du, L Song, M Yuan, A Smola Advances in neural information processing systems 25, 2012 | 208 | 2012 |
| Statistical methods for expression quantitative trait loci (eQTL) mapping CM Kendziorski, M Chen, M Yuan, H Lan, AD Attie Biometrics 62 (1), 19-27, 2006 | 195 | 2006 |
