Yucheng Low

According to our database, Yucheng Low authored at least 15 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research.

Joseph E. Gonzalez, Yucheng Low

Proc. VLDB Endow., 2023

Git Is For Data.

Yucheng Low, Rajat Arya, Ajit Banerjee, Ann Huang, Brian Ronan, Hoyt Koepke, Joseph Godlewski, Zach Nation

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2019

Data Platform for Machine Learning.

Pulkit Agrawal, Rajat Arya, Aanchal Bindal, Sandeep Bhatia, Anupriya Gagneja, Joseph Godlewski, Yucheng Low, Timothy Muss, Mudit Manu Paliwal, Sethu Raman, Vishrut Shah, Bochao Shen, Laura Sugden, Kaiyu Zhao, Ming-Chuan Wu

Proceedings of the 2019 International Conference on Management of Data, 2019

2012

Distributed GraphLab: A Framework for Machine Learning in the Cloud.

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein

Proc. VLDB Endow., 2012

PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs.

Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin

Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, 2012

Fast top-k similarity queries via matrix compression.

Yucheng Low, Alice X. Zheng

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Kernel Belief Propagation.

Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees.

Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Efficient Multicore Collaborative Filtering

Yao Wu, Qiang Yan, Danny Bickson, Yucheng Low, Qing Yang

CoRR, 2011

GraphLab: A Distributed Framework for Machine Learning in the Cloud

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin

CoRR, 2011

Multiple domain user personalization.

Yucheng Low, Deepak Agarwal, Alexander J. Smola

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Scalable distributed inference of dynamic user interests for behavioral targeting.

Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

GraphLab: A New Framework For Parallel Machine Learning.

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein

Proceedings of the UAI 2010, 2010

2009

Residual Splash for Optimally Parallelizing Belief Propagation.

Joseph Gonzalez, Yucheng Low, Carlos Guestrin

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Distributed Parallel Inference on Large Factor Graphs.

Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron

Proceedings of the UAI 2009, 2009