I received my Ph.D. in Computer Science from Rice University, under the supervision of Professor Chris Jermaine. My areas of expertise are distributed database systems and large-scale machine learning. Most of my work can be found in these papers. Here is my CV.

Selected Publications [DBLP]

• 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]

• 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.
  Proceedings of the VLDB Endowment (PVLDB), 12(7): 822-835, 2019.
  (Best Paper Honorable Mention) (2019 SIGMOD Research Highlight)
  [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) (2017 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

• 2017 SIGMOD Research Highlight

• 2019 VLDB Best Paper Honorable Mention

• 2019 SIGMOD Research Highlight

• 2020 Communication of ACM Research Highlight

• Young Researcher Participant in 5th Heidelberg Laureate Forum