A comparison of platforms for implementing and running very large scale machine learning algorithms. - Zhuhua Cai; Zekai J. Gao; Shangyu Luo; Luis Leopoldo Perez; Zografoula Vagena; Christopher M. Jermaine (SIGMOD Conference, 2014)

Distributed Algorithms for Computing Very Large Thresholded Covariance Matrices. - Zekai J. Gao; Chris Jermaine (ACM Trans. Knowl. Discov. Data, 2016)

The BUDS Language for Distributed Bayesian Machine Learning. - Zekai J. Gao; Shangyu Luo; Luis Leopoldo Perez; Chris Jermaine (SIGMOD Conference, 2017)

Scalable Linear Algebra on a Relational Database System. - Shangyu Luo; Zekai J. Gao; Michael N. Gubanov; Luis Leopoldo Perez; Christopher M. Jermaine (SIGMOD Rec., 2018)

Declarative Recursive Computation on an RDBMS. - Dimitrije Jankov; Shangyu Luo; Binhang Yuan; Zhuhua Cai; Jia Zou 001; Chris Jermaine; Zekai J. Gao (Proc. VLDB Endow., 2019)

Declarative Parameterizations of User-Defined Functions for Large-Scale Machine Learning and Optimization. - Zekai J. Gao; Niketan Pansare; Christopher M. Jermaine (IEEE Trans. Knowl. Data Eng., 2019)

Scalable linear algebra on a relational database system. - Shangyu Luo; Zekai J. Gao; Michael N. Gubanov; Luis Leopoldo Perez; Dimitrije Jankov; Christopher M. Jermaine (Commun. ACM, 2020)

Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning. - Dimitrije Jankov; Shangyu Luo; Binhang Yuan; Zhuhua Cai; Jia Zou 001; Chris Jermaine; Zekai J. Gao (SIGMOD Rec., 2020)