Yucheng Low

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 3

Top Topics

Machine Learning

Data Driven Approaches

Application Domains

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Joseph E. Gonzalez, Yucheng Low
The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research. Proc. VLDB Endow. 16 (12) (2023)
Yucheng Low, Rajat Arya, Ajit Banerjee, Ann Huang, Brian Ronan, Hoyt Koepke, Joseph Godlewski, Zach Nation
Git Is For Data. CIDR (2023)
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)
Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
GraphLab: A New Framework For Parallel Machine Learning. CoRR (2014)
Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
Distributed Parallel Inference on Large Factor Graphs CoRR (2012)
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) (2012)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
Distributed GraphLab: A Framework for Machine Learning in the Cloud CoRR (2012)
Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin
PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs. OSDI (2012)
Yucheng Low, Alice X. Zheng
Fast top-k similarity queries via matrix compression. CIKM (2012)
Yucheng Low, Deepak Agarwal, Alexander J. Smola
Multiple domain user personalization. KDD (2011)
Yao Wu, Qiang Yan, Danny Bickson, Yucheng Low, Qing Yang
Efficient Multicore Collaborative Filtering CoRR (2011)
Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola
Scalable distributed inference of dynamic user interests for behavioral targeting. KDD (2011)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin
GraphLab: A Distributed Framework for Machine Learning in the Cloud CoRR (2011)
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
Kernel Belief Propagation. AISTATS (2011)
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
Kernel Belief Propagation CoRR (2011)
Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. AISTATS (2011)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
GraphLab: A New Framework For Parallel Machine Learning. UAI (2010)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
GraphLab: A New Framework for Parallel Machine Learning CoRR (2010)
Joseph Gonzalez, Yucheng Low, Carlos Guestrin
Residual Splash for Optimally Parallelizing Belief Propagation. AISTATS (2009)
Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
Distributed Parallel Inference on Large Factor Graphs. UAI (2009)