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 | 2682 | 2005 |

Multi-class adaboost J Zhu, H Zou, S Rosset, T Hastie Statistics and its Interface 2 (3), 349-360, 2009 | 1507* | 2009 |

1-norm support vector machines J Zhu, S Rosset, T Hastie, R Tibshirani Advances in neural information processing systems 16 (1), 49-56, 2004 | 1109 | 2004 |

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 | 918 | 2005 |

Sparse permutation invariant covariance estimation AJ Rothman, PJ Bickel, E Levina, J Zhu Electronic Journal of Statistics 2, 494-515, 2008 | 882 | 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 | 850 | 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), 2009 | 671 | 2009 |

Kernel logistic regression and the import vector machine J Zhu, T Hastie Journal of Computational and Graphical Statistics 14 (1), 2005 | 656 | 2005 |

Piecewise linear regularized solution paths S Rosset, J Zhu The Annals of Statistics, 1012-1030, 2007 | 581 | 2007 |

Classification of gene microarrays by penalized logistic regression J Zhu, T Hastie Biostatistics 5 (3), 427-443, 2004 | 456 | 2004 |

Generalized thresholding of large covariance matrices AJ Rothman, E Levina, J Zhu Journal of the American Statistical Association 104 (485), 177-186, 2009 | 447 | 2009 |

Joint estimation of multiple graphical models J Guo, E Levina, G Michailidis, J Zhu Biometrika, asq060, 2011 | 436 | 2011 |

Consistency of community detection in networks under degree-corrected stochastic block models Y Zhao, E Levina, J Zhu The Annals of Statistics 40 (4), 2266-2292, 2012 | 368 | 2012 |

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 | 337 | 2004 |

Sparse multivariate regression with covariance estimation AJ Rothman, E Levina, J Zhu Journal of Computational and Graphical Statistics 19 (4), 947-962, 2010 | 306 | 2010 |

L1-norm quantile regression Y Li, J Zhu Journal of Computational and Graphical Statistics 17 (1), 2008 | 289 | 2008 |

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 | 285 | 2010 |

The doubly regularized support vector machine L Wang, J Zhu, H Zou Statistica Sinica 16 (2), 589, 2006 | 268 | 2006 |

Functional linear regression that's interpretable GM James, J Wang, J Zhu The Annals of Statistics, 2083-2108, 2009 | 247 | 2009 |

Sparse estimation of large covariance matrices via a nested Lasso penalty E Levina, A Rothman, J Zhu The Annals of Applied Statistics 2 (1), 245-263, 2008 | 234 | 2008 |