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 (SDCTD@NAACL-HLT, 2012)

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)

SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. - Tarek Elgamal; Shangyu Luo; Matthias Boehm 001; Alexandre V. Evfimievski; Shirish Tatikonda; Berthold Reinwald; Prithviraj Sen (CIDR, 2017)

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

PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. - Jia Zou 001; R. Matthew Barnett; Tania Lorido-Botran; Shangyu Luo; Carlos Monroy; Sourav Sikdar; Kia Teymourian; Binhang Yuan; Chris Jermaine (SIGMOD Conference, 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)

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)

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)

Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra. - Shangyu Luo; Dimitrije Jankov; Binhang Yuan; Chris Jermaine (SIGMOD Conference, 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)

ByteHTAP: ByteDance's HTAP System with High Data Freshness and Strong Data Consistency. - Jianjun Chen 001; Yonghua Ding; Ye Liu; Fangshi Li; Li Zhang 132; Mingyi Zhang 001; Kui Wei; Lixun Cao; Dan Zou; Yang Liu; Lei Zhang; Rui Shi; et al. (Proc. VLDB Endow., 2022)

Accelerating Cloud-Native Databases with Distributed PMem Stores. - Jason Sun; Haoxiang Ma; Li Zhang 132; Huicong Liu; Haiyang Shi; Shangyu Luo; Kai Wu 004; Kevin Bruhwiler; Cheng Zhu; Yuanyuan Nie; Jianjun Chen 001; Lei Zhang; et al. (ICDE, 2023)

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators. - Xianghong Xu 001; Tieying Zhang; Xiao He 008; Haoyang Li; Rong Kang; Wang Shuai; Linhui Xu; Zhimin Liang; Shangyu Luo; Lei Zhang; Jianjun Chen 001 (Proc. VLDB Endow., 2024)

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators. - Xianghong Xu 001; Tieying Zhang; Xiao He 008; Haoyang Li; Rong Kang; Shuai Wang; Linhui Xu; Zhimin Liang; Shangyu Luo; Lei Zhang; Jianjun Chen 001 (CoRR, 2025)