Shangyu Luo

According to our database, Shangyu Luo authored at least 13 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Accelerating Cloud-Native Databases with Distributed PMem Stores.

Jason Sun, Haoxiang Ma, Li Zhang, Huicong Liu, Haiyang Shi, Shangyu Luo, Kai Wu, Kevin Bruhwiler, Cheng Zhu, Yuanyuan Nie, Jianjun Chen, Lei Zhang, Yuming Liang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

ByteHTAP: ByteDance's HTAP System with High Data Freshness and Strong Data Consistency.

Jianjun Chen, Yonghua Ding, Ye Liu, Fangshi Li, Li Zhang, Mingyi Zhang, Kui Wei, Lixun Cao, Dan Zou, Yang Liu, Lei Zhang, Rui Shi, Wei Ding, Kai Wu, Shangyu Luo, Jason Sun, Yuming Liang

Proc. VLDB Endow., 2022

2021

Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees.

Dimitrije Jankov, Binhang Yuan, Shangyu Luo, Chris Jermaine

Proc. VLDB Endow., 2021

Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra.

Shangyu Luo, Dimitrije Jankov, Binhang Yuan, Chris Jermaine

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

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, Chris Jermaine, Zekai J. Gao

SIGMOD Rec., 2020

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

2019

Declarative Recursive Computation on an RDBMS.

Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao

Proc. VLDB Endow., 2019

2018

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

PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development.

Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

The BUDS Language for Distributed Bayesian Machine Learning.

Zekai J. Gao, Shangyu Luo, Luis Leopoldo Perez, Chris Jermaine

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning.

Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2014

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

Proceedings of the International Conference on Management of Data, 2014

2012

HRItk: The Human-Robot Interaction ToolKit Rapid Development of Speech-Centric Interactive Systems in ROS.

Ian R. Lane, Vinay Prasad, Gaurav Sinha, Arlette Umuhoza, Shangyu Luo, Akshay Chandrashekaran, Antoine Raux

Proceedings of the Workshop on Future directions and needs in the Spoken Dialog Community: Tools and Data, 2012