Shangyu Luo




                      Department of Computer Science

                      Rice University

                      6100 Main Street, Houston

                      TX 77005




                      Contact:

                      lsyurd AT gmail DOT com

            LinkedIn

I am a Ph.D. student of Department of Computer Science at Rice University, under the supervision of Professor Chris Jermaine. My research interests are distributed database systems and large-scale machine learning. Most of my work can be found in these papers, and here is my CV.

Publications [DBLP]

  • 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.
    IEEE International Conference on Data Engineering (ICDE), 2017.
    (Best Paper Award) (SIGMOD Research Highlight)
    [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]

Awards and Honors

  • 2014/2015 Ken Kennedy-Cray Graduate Fellowship
  • 2017 IEEE ICDE Best Paper Award
  • 2018 SIGMOD Research Highlights
  • 2019 VLDB Best Paper Honorable Mention
  • Young Researcher Participant in 5th Heidelberg Laureate Forum


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