Hogwild!: A lock-free approach to parallelizing stochastic gradient descent F Niu, B Recht, C Ré, SJ Wright arXiv preprint arXiv:1106.5730, 2011 | 2120 | 2011 |

Tuffy: Scaling up statistical inference in markov logic networks using an rdbms F Niu, C Ré, AH Doan, J Shavlik arXiv preprint arXiv:1104.3216, 2011 | 327 | 2011 |

DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference. F Niu, C Zhang, C Ré, JW Shavlik VLDS 12, 25-28, 2012 | 212 | 2012 |

Brainwash: A Data System for Feature Engineering. MR Anderson, D Antenucci, V Bittorf, M Burgess, MJ Cafarella, A Kumar, ... Cidr, 2013 | 126 | 2013 |

Elementary: Large-scale knowledge-base construction via machine learning and statistical inference F Niu, C Zhang, C Ré, J Shavlik International Journal on Semantic Web and Information Systems (IJSWIS) 8 (3 …, 2012 | 112 | 2012 |

Building an entity-centric stream filtering test collection for TREC 2012 JR Frank, M Kleiman-Weiner, DA Roberts, F Niu, C Zhang, C Ré, ... MASSACHUSETTS INST OF TECH CAMBRIDGE, 2012 | 97 | 2012 |

Hazy: making it easier to build and maintain big-data analytics A Kumar, F Niu, C Ré Communications of the ACM 56 (3), 40-49, 2013 | 88 | 2013 |

Big data versus the crowd: Looking for relationships in all the right places C Zhang, F Niu, C Ré, J Shavlik Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012 | 47 | 2012 |

Extracting databases from dark data with deepdive C Zhang, J Shin, C Ré, M Cafarella, F Niu Proceedings of the 2016 International Conference on Management of Data, 847-859, 2016 | 39 | 2016 |

Scaling inference for Markov logic via dual decomposition F Niu, C Zhang, C Ré, J Shavlik 2012 IEEE 12th International Conference on Data Mining, 1032-1037, 2012 | 23 | 2012 |

The price of anarchy in bertrand games S Chawla, F Niu Proceedings of the 10th ACM conference on Electronic commerce, 305-314, 2009 | 22 | 2009 |

Felix: Scaling inference for markov logic with an operator-based approach F Niu, C Zhang, C Ré, J Shavlik ArXiv e-prints, 2011 | 17 | 2011 |

Hazy: Making it Easier to Build and Maintain Big-data Analytics: Racing to unleash the full potential of big data with the latest statistical and machine-learning techniques. A Kumar, F Niu, C Ré Queue 11 (1), 30-46, 2013 | 13 | 2013 |

Overton: A data system for monitoring and improving machine-learned products C Ré, F Niu, P Gudipati, C Srisuwananukorn arXiv preprint arXiv:1909.05372, 2019 | 10 | 2019 |

RouteBazaar: An Economic Framework for Flexible Routing H Esquivel, C Muthukrishnan, F Niu, S Chawla, A Akella University of Wisconsin-Madison Department of Computer Sciences, 2009 | 9 | 2009 |

Bertrand competition in networks S Chawla, F Niu, T Roughgarden ACM SIGecom Exchanges 8 (1), 1-4, 2009 | 8 | 2009 |

Web-scale knowledge-base construction via statistical inference and learning F Niu The University of Wisconsin-Madison, 2012 | 6 | 2012 |

User manual of tuffy 0.3 A Doan, F Niu, C Ré, J Shavlik, C Zhang Tech. rep., University of Wisconsin-Madison, 2011 | 4 | 2011 |

Scaling inference for markov logic with a task-decomposition approach F Niu, C Zhang, C Ré, J Shavlik arXiv preprint arXiv:1108.0294, 2011 | 2 | 2011 |

Big Data versus the Crowd: Looking for Relationships in All the Right Places C Zhang, F Niu, C Ré, JW Shavlik ACL (1), 2012 | | 2012 |