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2020 – today
- 2023
[j2]Joseph E. Gonzalez, Yucheng Low:
The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research. Proc. VLDB Endow. 16(12): 4138 (2023)- [c11]Yucheng Low, Rajat Arya, Ajit Banerjee, Ann Huang, Brian Ronan, Hoyt Koepke, Joseph Godlewski, Zach Nation:
Git Is For Data. CIDR 2023
2010 – 2019
- 2019
- [c10]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:
Data Platform for Machine Learning. SIGMOD Conference 2019: 1803-1816 - 2014
- [i7]Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
GraphLab: A New Framework For Parallel Machine Learning. CoRR abs/1408.2041 (2014) - 2012
- [j1]Yucheng Low, Joseph Gonzalez
, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
Distributed GraphLab: A Framework for Machine Learning in the Cloud. Proc. VLDB Endow. 5(8): 716-727 (2012) - [c9]Yucheng Low, Alice X. Zheng:
Fast top-k similarity queries via matrix compression. CIKM 2012: 2070-2074 - [c8]Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin:
PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs. OSDI 2012: 17-30 - [i6]Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
Distributed GraphLab: A Framework for Machine Learning in the Cloud. CoRR abs/1204.6078 (2012) - [i5]Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron:
Distributed Parallel Inference on Large Factor Graphs. CoRR abs/1205.2645 (2012) - 2011
- [c7]Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola:
Scalable distributed inference of dynamic user interests for behavioral targeting. KDD 2011: 114-122 - [c6]Yucheng Low, Deepak Agarwal, Alexander J. Smola:
Multiple domain user personalization. KDD 2011: 123-131 - [c5]Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin:
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. AISTATS 2011: 324-332 - [c4]Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin:
Kernel Belief Propagation. AISTATS 2011: 707-715 - [i4]Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin:
Kernel Belief Propagation. CoRR abs/1105.5592 (2011) - [i3]Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin:
GraphLab: A Distributed Framework for Machine Learning in the Cloud. CoRR abs/1107.0922 (2011) - [i2]Yao Wu, Qiang Yan, Danny Bickson, Yucheng Low, Qing Yang:
Efficient Multicore Collaborative Filtering. CoRR abs/1108.2580 (2011) - 2010
- [c3]Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
GraphLab: A New Framework For Parallel Machine Learning. UAI 2010: 340-349 - [i1]Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
GraphLab: A New Framework for Parallel Machine Learning. CoRR abs/1006.4990 (2010)
2000 – 2009
- 2009
- [c2]Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron:
Distributed Parallel Inference on Large Factor Graphs. UAI 2009: 203-212 - [c1]Joseph Gonzalez, Yucheng Low, Carlos Guestrin:
Residual Splash for Optimally Parallelizing Belief Propagation. AISTATS 2009: 177-184
Coauthor Index
aka: Joseph E. Gonzalez
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