Publications
  • Shangyu Luo, Dimitrije Jankov, Binhang Yuan, and Christopher Jermaine
    Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra.
    ACM International Conference on Management of Data (SIGMOD), 2021.
    [pdf]
  • Dimitrije Jankov, Binhang Yuan, Shangyu Luo, and Christopher Jermaine
    Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees.
    Proceedings of the VLDB Endowment (PVLDB), 14(7): 1228-1240, 2021.
    [pdf]
  • Shangyu Luo, Zekai. J. Gao, Michael Gubanov, Luis Perez, Dimitrije Jankov and Christopher Jermaine
    Scalable Linear Algebra on a Relational Database System.
    Commun. ACM, 63(8): 93–101, 2020.
    (2020 CACM Research Highlight)
    [link]
  • Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Christopher Jermaine, and Zekai J. Gao
    Declarative Recursive Computation on an RDBMS.
    SIGMOD RECORD, 49(1): 43-50, 2019.
    (2019 SIGMOD Research Highlight)
  • Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Christopher Jermaine, and Zekai J. Gao
    Declarative Recursive Computation on an RDBMS.
    Proceedings of the VLDB Endowment (PVLDB), 12(7): 822-835, 2019.
    (Best Paper Honorable Mention)
    [pdf] [arxiv]
  • Shangyu Luo, Zekai. J. Gao, Michael Gubanov, Luis Perez, and Christopher Jermaine
    Scalable Linear Algebra on a Relational Database System.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 31, pp. 1224-1238, 2019.
    (Special issue for “Best of ICDE 2017”)
    [pdf]
  • Jia Zou, R. Matt Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, and Christopher Jermaine
    PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development.
    ACM International Conference on Management of Data (SIGMOD), 2018.
    [pdf] [arxiv]
  • Shangyu Luo, Zekai. J. Gao, Michael Gubanov, Luis Perez, and Christopher Jermaine
    Scalable Linear Algebra on a Relational Database System.
    SIGMOD RECORD, 47(1): 24-31, 2018.
    (2017 SIGMOD Research Highlight)
    [pdf]
  • Shangyu Luo, Zekai. J. Gao, Michael Gubanov, Luis Perez, and Christopher Jermaine
    Scalable Linear Algebra on a Relational Database System.
    IEEE International Conference on Data Engineering (ICDE), 2017.
    (Best Paper Award)
    [pdf]
  • Zekai Gao, Shangyu Luo, Luis Perez, and Christopher Jermaine
    The BUDS Language for Distributed Bayesian Machine Learning.
    ACM International Conference on Management of Data (SIGMOD), 2017.
    [pdf]
  • Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, and Prithviraj Sen
    SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning.
    Conference on Innovative Data Systems Research (CIDR), 2017.
    [pdf]
  • Zhuhua Cai, Zekai Gao, Shangyu Luo, Luis Perez, Zografoula Vagena, and Christopher Jermaine
    A Comparison of Platforms for Implementing and Running Very Large Scale Machine Learning Algorithms.
    ACM International Conference on Management of Data (SIGMOD), 2014.
    [pdf]
  • Ian Lane, Vinay Prasad, Gaurav Sinha, Arlette Umuhoza, Shangyu Luo, Akshay Chandrashekaran, and Antoine Raux
    HRItk: The Human-Robot Interaction ToolKit Rapid Development of Speech-Centric Interactive Systems in ROS.
    SDCTD, 2012.