| Hogwild!: A lock-free approach to parallelizing stochastic gradient descent B Recht, C Re, S Wright, F Niu Advances in neural information processing systems 24, 2011 | 2780 | 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 | 364 | 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 | 265 | 2012 |
| Brainwash: A Data System for Feature Engineering. MR Anderson, D Antenucci, V Bittorf, M Burgess, MJ Cafarella, A Kumar, ... Cidr, 2013 | 151 | 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 | 137 | 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, ... TREC, 2012 | 104 | 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 | 101 | 2013 |
| 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 | 57 | 2016 |
| 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 | 51 | 2012 |
| 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 | 49 | 2019 |
| 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 | 25 | 2012 |
| The price of anarchy in bertrand games S Chawla, F Niu Proceedings of the 10th ACM conference on Electronic commerce, 305-314, 2009 | 24 | 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 | 16 | 2013 |
| 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 |
| User manual of Tuffy 0.3 A Doan, F Niu, C Ré, J Shavlik, C Zhang Stanford University, 2011 | 8 | 2011 |
| 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 | 7 | 2012 |
| Niu. 2011. Hogwild: A lock-free approach to parallelizing stochastic gradient descent B Recht, C Re, S Wright In Advances in Neural Information Processing Systems, 693701, 0 | 3 | |
| 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 |
