MLlib: Machine Learning in Apache Spark X Meng, J Bradley, B Yavuz, E Sparks, S Venkataraman, D Liu, ... arXiv preprint arXiv:1505.06807, 2015 | 1451 | 2015 |

Apache spark: a unified engine for big data processing M Zaharia, RS Xin, P Wendell, T Das, M Armbrust, A Dave, X Meng, ... Communications of the ACM 59 (11), 56-65, 2016 | 1318 | 2016 |

Spark SQL: Relational data processing in Spark M Armbrust, RS Xin, C Lian, Y Huai, D Liu, JK Bradley, X Meng, T Kaftan, ... Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 1111 | 2015 |

Low-distortion subspace embeddings in input-sparsity time and applications to robust linear regression X Meng, MW Mahoney Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013 | 185 | 2013 |

LSRN: A parallel iterative solver for strongly over-or underdetermined systems X Meng, MA Saunders, MW Mahoney SIAM Journal on Scientific Computing 36 (2), C95-C118, 2014 | 106 | 2014 |

Wisdom of the better few: cold start recommendation via representative based rating elicitation NN Liu, X Meng, C Liu, Q Yang Proceedings of the fifth ACM conference on Recommender systems, 37-44, 2011 | 105 | 2011 |

Scalable Simple Random Sampling and Stratified Sampling X Meng The 30th International Conference on Machine Learning (ICML 2013), 2013 | 90 | 2013 |

Matrix computations and optimization in apache spark R Bosagh Zadeh, X Meng, A Ulanov, B Yavuz, L Pu, S Venkataraman, ... Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 84 | 2016 |

The fast cauchy transform and faster robust linear regression KL Clarkson, P Drineas, M Magdon-Ismail, MW Mahoney, X Meng, ... SIAM Journal on Computing 45 (3), 763-810, 2016 | 83 | 2016 |

Sparkr: Scaling r programs with spark S Venkataraman, Z Yang, D Liu, E Liang, H Falaki, X Meng, R Xin, ... Proceedings of the 2016 International Conference on Management of Data, 1099 …, 2016 | 61 | 2016 |

Joint routing and channel assignment in multi-radio wireless mesh networks X Meng, K Tan, Q Zhang 2006 IEEE International Conference on Communications 8, 3596-3601, 2006 | 53 | 2006 |

Implementing randomized matrix algorithms in parallel and distributed environments J Yang, X Meng, MW Mahoney Proceedings of the IEEE 104 (1), 58-92, 2015 | 49 | 2015 |

Quantile regression for large-scale applications J Yang, X Meng, M Mahoney International Conference on Machine Learning, 881-887, 2013 | 41 | 2013 |

Graysort on apache spark by databricks R Xin, P Deyhim, A Ghodsi, X Meng, M Zaharia GraySort Competition, 2014 | 27 | 2014 |

A robust finite element method for a 3-D elliptic singular perturbation problem M Wang, X Meng Journal of Computational Mathematics, 631-644, 2007 | 20 | 2007 |

Robust regression on mapreduce X Meng, M Mahoney International Conference on Machine Learning, 888-896, 2013 | 15 | 2013 |

ML pipelines: a new high-level API for MLlib X Meng, J Bradley, E Sparks, S Venkataraman Retrieved March 21, 2017, 2015 | 12 | 2015 |

Accelerating Nesterov's method for strongly convex functions with Lipschitz gradient X Meng, H Chen arXiv preprint arXiv:1109.6058, 2011 | 11 | 2011 |

Mllib: Scalable machine learning on spark X Meng Spark Workshop April, 2014 | 9 | 2014 |

linalg: Matrix computations in apache spark RB Zadeh, X Meng, B Yavuz, A Staple, L Pu, S Venkataraman, E Sparks, ... arXiv preprint arXiv:1509.02256, 13, 2015 | 8 | 2015 |