| 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 | 3159 | 2016 |
| MLlib: Machine Learning in Apache Spark X Meng, J Bradley, B Yavuz, E Sparks, S Venkataraman, D Liu, ... arXiv preprint arXiv:1505.06807, 2015 | 2466 | 2015 |
| 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 | 1923 | 2015 |
| Free dolly: Introducing the world’s first truly open instruction-tuned llm M Conover, M Hayes, A Mathur, J Xie, J Wan, S Shah, A Ghodsi, ... Company Blog of Databricks, 2023 | 331 | 2023 |
| 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 | 319 | 2013 |
| Scalable Simple Random Sampling and Stratified Sampling X Meng The 30th International Conference on Machine Learning (ICML 2013), 2013 | 225 | 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 | 191 | 2014 |
| 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 | 140 | 2016 |
| 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 | 130 | 2011 |
| 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 | 119 | 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 | 101 | 2016 |
| Implementing randomized matrix algorithms in parallel and distributed environments J Yang, X Meng, MW Mahoney Proceedings of the IEEE 104 (1), 58-92, 2015 | 71 | 2015 |
| Quantile regression for large-scale applications J Yang, X Meng, M Mahoney International Conference on Machine Learning, 881-887, 2013 | 65 | 2013 |
| 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 | 61 | 2006 |
| Graysort on apache spark by databricks R Xin, P Deyhim, A Ghodsi, X Meng, M Zaharia GraySort Competition, 65, 2014 | 33 | 2014 |
| Facilitating machine learning in an online social network PT Ogilvie, X Meng, A Bhasin, TA Walker US Patent 9,082,084, 2015 | 28 | 2015 |
| A robust finite element method for a 3-D elliptic singular perturbation problem M Wang, X Meng Journal of Computational Mathematics, 631-644, 2007 | 26 | 2007 |
| Robust regression on mapreduce X Meng, M Mahoney International Conference on Machine Learning, 888-896, 2013 | 21 | 2013 |
| Accelerating Nesterov's method for strongly convex functions with Lipschitz gradient X Meng, H Chen arXiv preprint arXiv:1109.6058, 2011 | 17 | 2011 |
| ML pipelines: a new high-level API for MLlib X Meng, J Bradley, E Sparks, S Venkataraman | 14 | 2015 |
Nathan N. LiuGoogle Inc.Adresse e-mail validée de google.com
