Yucheng Low - RankMe

20 papers A* 3A 7Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Git Is For Data. CIDR Yucheng Low, Rajat Arya, Ajit Banerjee, Ann Huang, Brian Ronan, Hoyt Koepke, Joseph Godlewski, Zach Nation
2023	J	`jnl`	The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research. Proc. VLDB Endow. Joseph E. Gonzalez, Yucheng Low
2019	—	`conf`	Data Platform for Machine Learning. SIGMOD Conference 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
2014	J	`jnl`	GraphLab: A New Framework For Parallel Machine Learning. CoRR Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2012	J	`jnl`	Distributed GraphLab: A Framework for Machine Learning in the Cloud CoRR Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2012	J	`jnl`	Distributed GraphLab: A Framework for Machine Learning in the Cloud. Proc. VLDB Endow. Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2012	J	`jnl`	Distributed Parallel Inference on Large Factor Graphs CoRR Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
2012	A	`conf`	Fast top-k similarity queries via matrix compression. CIKM Yucheng Low, Alice X. Zheng
2012	A*	`conf`	PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs. OSDI Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin
2011	J	`jnl`	Efficient Multicore Collaborative Filtering CoRR Yao Wu, Qiang Yan, Danny Bickson, Yucheng Low, Qing Yang
2011	J	`jnl`	GraphLab: A Distributed Framework for Machine Learning in the Cloud CoRR Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin
2011	J	`jnl`	Kernel Belief Propagation CoRR Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
2011	A	`conf`	Kernel Belief Propagation. AISTATS Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
2011	A*	`conf`	Multiple domain user personalization. KDD Yucheng Low, Deepak Agarwal, Alexander J. Smola
2011	A	`conf`	Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. AISTATS Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin
2011	A*	`conf`	Scalable distributed inference of dynamic user interests for behavioral targeting. KDD Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola
2010	A	`conf`	GraphLab: A New Framework For Parallel Machine Learning. UAI Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2010	J	`jnl`	GraphLab: A New Framework for Parallel Machine Learning CoRR Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2009	A	`conf`	Distributed Parallel Inference on Large Factor Graphs. UAI Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
2009	A	`conf`	Residual Splash for Optimally Parallelizing Belief Propagation. AISTATS Joseph Gonzalez, Yucheng Low, Carlos Guestrin