| Sparsity and smoothness via the fused lasso R Tibshirani, M Saunders, S Rosset, J Zhu, K Knight Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2005 | 3437 | 2005 |
| Multi-class adaboost J Zhu, H Zou, S Rosset, T Hastie Statistics and its Interface 2 (3), 349-360, 2009 | 2504* | 2009 |
| 1-norm support vector machines J Zhu, S Rosset, R Tibshirani, T Hastie Advances in neural information processing systems 16, 2003 | 1265 | 2003 |
| Boosted decision trees as an alternative to artificial neural networks for particle identification BP Roe, HJ Yang, J Zhu, Y Liu, I Stancu, G McGregor Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2005 | 1185 | 2005 |
| Sparse permutation invariant covariance estimation AJ Rothman, PJ Bickel, E Levina, J Zhu | 1041 | 2008 |
| The entire regularization path for the support vector machine T Hastie, S Rosset, R Tibshirani, J Zhu Journal of Machine Learning Research 5 (Oct), 1391-1415, 2004 | 952 | 2004 |
| Partial correlation estimation by joint sparse regression models J Peng, P Wang, N Zhou, J Zhu Journal of the American Statistical Association 104 (486), 735-746, 2009 | 845 | 2009 |
| Kernel logistic regression and the import vector machine J Zhu, T Hastie Journal of Computational and Graphical Statistics 14 (1), 2005 | 725* | 2005 |
| Piecewise linear regularized solution paths S Rosset, J Zhu The Annals of Statistics, 1012-1030, 2007 | 645 | 2007 |
| Generalized thresholding of large covariance matrices AJ Rothman, E Levina, J Zhu Journal of the American Statistical Association 104 (485), 177-186, 2009 | 582 | 2009 |
| Joint estimation of multiple graphical models J Guo, E Levina, G Michailidis, J Zhu Biometrika 98 (1), 1-15, 2011 | 543 | 2011 |
| Classification of gene microarrays by penalized logistic regression J Zhu, T Hastie Biostatistics 5 (3), 427-443, 2004 | 527 | 2004 |
| Consistency of community detection in networks under degree-corrected stochastic block models Y Zhao, E Levina, J Zhu | 522 | 2012 |
| Comparison of imputation methods for missing laboratory data in medicine AK Waljee, A Mukherjee, AG Singal, Y Zhang, J Warren, U Balis, ... BMJ open 3 (8), e002847, 2013 | 460 | 2013 |
| Sparse multivariate regression with covariance estimation AJ Rothman, E Levina, J Zhu Journal of Computational and Graphical Statistics 19 (4), 947-962, 2010 | 430 | 2010 |
| L1-Norm Quantile Regression Y Li, J Zhu Journal of Computational and Graphical Statistics 17 (1), 163-185, 2008 | 394 | 2008 |
| Boosting as a regularized path to a maximum margin classifier S Rosset, J Zhu, T Hastie The Journal of Machine Learning Research 5, 941-973, 2004 | 373 | 2004 |
| Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer J Peng, J Zhu, A Bergamaschi, W Han, DY Noh, JR Pollack, P Wang The annals of applied statistics 4 (1), 53, 2010 | 349 | 2010 |
| Functional linear regression that’s interpretable GM James, J Wang, J Zhu | 343 | 2009 |
| The doubly regularized support vector machine L Wang, J Zhu, H Zou Statistica Sinica, 589-615, 2006 | 340 | 2006 |
