Distributed Parallel Inference on Large Factor Graphs. - Joseph Gonzalez 001; Yucheng Low; Carlos Guestrin; David R. O'Hallaron (UAI, 2009)

Residual Splash for Optimally Parallelizing Belief Propagation. - Joseph Gonzalez 001; Yucheng Low; Carlos Guestrin (AISTATS, 2009)

GraphLab: A New Framework For Parallel Machine Learning. - Yucheng Low; Joseph Gonzalez 001; Aapo Kyrola; Danny Bickson; Carlos Guestrin; Joseph M. Hellerstein (UAI, 2010)

Scalable distributed inference of dynamic user interests for behavioral targeting. - Amr Ahmed 001; Yucheng Low; Mohamed Aly 002; Vanja Josifovski; Alexander J. Smola (KDD, 2011)

Multiple domain user personalization. - Yucheng Low; Deepak Agarwal; Alexander J. Smola (KDD, 2011)

GraphLab: A Distributed Framework for Machine Learning in the Cloud - Yucheng Low; Joseph Gonzalez 001; Aapo Kyrola; Danny Bickson; Carlos Guestrin (CoRR, 2011)

Efficient Multicore Collaborative Filtering - Yao Wu; Qiang Yan; Danny Bickson; Yucheng Low; Qing Yang 002 (CoRR, 2011)

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. - Joseph Gonzalez 001; Yucheng Low; Arthur Gretton; Carlos Guestrin (AISTATS, 2011)

Kernel Belief Propagation. - Le Song; Arthur Gretton; Danny Bickson; Yucheng Low; Carlos Guestrin (AISTATS, 2011)

Fast top-k similarity queries via matrix compression. - Yucheng Low; Alice X. Zheng (CIKM, 2012)

PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs. - Joseph E. Gonzalez; Yucheng Low; Haijie Gu; Danny Bickson; Carlos Guestrin (OSDI, 2012)

Distributed GraphLab: A Framework for Machine Learning in the Cloud. - Yucheng Low; Joseph Gonzalez 001; Aapo Kyrola; Danny Bickson; Carlos Guestrin; Joseph M. Hellerstein (Proc. VLDB Endow., 2012)

Data Platform for Machine Learning. - Pulkit Agrawal 002; Rajat Arya; Aanchal Bindal; Sandeep Bhatia; Anupriya Gagneja; Joseph Godlewski; Yucheng Low; Timothy Muss; Mudit Manu Paliwal; Sethu Raman; Vishrut Shah; Bochao Shen; et al. (SIGMOD Conference, 2019)

Git Is For Data. - Yucheng Low; Rajat Arya; Ajit Banerjee; Ann Huang; Brian Ronan; Hoyt Koepke; Joseph Godlewski; Zach Nation (CIDR, 2023)

The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research. - Joseph E. Gonzalez; Yucheng Low (Proc. VLDB Endow., 2023)