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Feng Niu
Publications
- 2019
- [i4]Christopher Ré, Feng Niu, Pallavi Gudipati, Charles Srisuwananukorn:
Overton: A Data System for Monitoring and Improving Machine-Learned Products. CoRR abs/1909.05372 (2019) - 2016
- [c13]Ce Zhang, Jaeho Shin, Christopher Ré, Michael J. Cafarella, Feng Niu:
Extracting Databases from Dark Data with DeepDive. SIGMOD Conference 2016: 847-859 - 2013
- [j9]Arun Kumar, Feng Niu, Christopher Ré:
Hazy: making it easier to build and maintain big-data analytics. Commun. ACM 56(3): 40-49 (2013) - [j8]Arun Kumar, Feng Niu, Christopher Ré:
Hazy: Making it Easier to Build and Maintain Big-data Analytics. ACM Queue 11(1): 30 (2013) - [c12]Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang:
Brainwash: A Data System for Feature Engineering. CIDR 2013 - 2012
- [j7]Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik:
Elementary: Large-Scale Knowledge-Base Construction via Machine Learning and Statistical Inference. Int. J. Semantic Web Inf. Syst. 8(3): 42-73 (2012) - [c11]Ce Zhang, Feng Niu, Christopher Ré, Jude W. Shavlik:
Big Data versus the Crowd: Looking for Relationships in All the Right Places. ACL (1) 2012: 825-834 - [c10]Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik:
Scaling Inference for Markov Logic via Dual Decomposition. ICDM 2012: 1032-1037 - [c9]John R. Frank, Max Kleiman-Weiner, Daniel A. Roberts, Feng Niu, Ce Zhang, Christopher Ré, Ian Soboroff:
Building an Entity-Centric Stream Filtering Test Collection for TREC 2012. TREC 2012 - [c8]Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik:
DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference. VLDS 2012: 25-28 - 2011
- [j6]Feng Niu, Christopher Ré, AnHai Doan, Jude W. Shavlik:
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS. Proc. VLDB Endow. 4(6): 373-384 (2011) - [c7]Benjamin Recht, Christopher Ré, Stephen J. Wright, Feng Niu:
Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent. NIPS 2011: 693-701 - [i3]Feng Niu, Christopher Ré, AnHai Doan, Jude W. Shavlik:
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS. CoRR abs/1104.3216 (2011) - [i2]Feng Niu, Benjamin Recht, Christopher Ré, Stephen J. Wright:
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent. CoRR abs/1106.5730 (2011) - [i1]Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik:
Felix: Scaling Inference for Markov Logic with an Operator-based Approach. CoRR abs/1108.0294 (2011)
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