| Scalable linear algebra on a relational database system S Luo, ZJ Gao, M Gubanov, LL Perez, C Jermaine ACM SIGMOD Record 47 (1), 24-31, 2018 | 146 | 2018 |
| A comparison of platforms for implementing and running very large scale machine learning algorithms Z Cai, ZJ Gao, S Luo, LL Perez, Z Vagena, C Jermaine Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 75 | 2014 |
| Declarative recursive computation on an rdbms, or, why you should use a database for distributed machine learning D Jankov, S Luo, B Yuan, Z Cai, J Zou, C Jermaine, ZJ Gao arXiv preprint arXiv:1904.11121, 2019 | 66 | 2019 |
| SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. T Elgamal, S Luo, M Boehm, AV Evfimievski, S Tatikonda, B Reinwald, ... CIDR 2 (6), 25, 2017 | 56 | 2017 |
| The BUDS language for distributed bayesian machine learning ZJ Gao, S Luo, LL Perez, C Jermaine Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 28 | 2017 |
| PlinyCompute: A platform for high-performance, distributed, data-intensive tool development J Zou, RM Barnett, T Lorido-Botran, S Luo, C Monroy, S Sikdar, ... Proceedings of the 2018 International Conference on Management of Data, 1189 …, 2018 | 25 | 2018 |
| ByteHTAP: bytedance's HTAP system with high data freshness and strong data consistency J Chen, Y Ding, Y Liu, F Li, L Zhang, M Zhang, K Wei, L Cao, D Zou, Y Liu, ... Proceedings of the VLDB Endowment 15 (12), 3411-3424, 2022 | 23 | 2022 |
| Declarative recursive computation on an RDBMS: or, why you should use a database for distributed machine learning D Jankov, S Luo, B Yuan, Z Cai, J Zou, C Jermaine, ZJ Gao ACM SIGMOD Record 49 (1), 43-50, 2020 | 22 | 2020 |
| HRItk: the human-robot interaction ToolKit rapid development of speech-centric interactive systems in ROS I Lane, V Prasad, G Sinha, A Umuhoza, S Luo, A Chandrashekaran, ... NAACL-HLT Workshop on Future directions and needs in the Spoken Dialog …, 2012 | 20 | 2012 |
| Automatic optimization of matrix implementations for distributed machine learning and linear algebra S Luo, D Jankov, B Yuan, C Jermaine Proceedings of the 2021 International Conference on Management of Data, 1222 …, 2021 | 14 | 2021 |
| Distributed numerical and machine learning computations via two-phase execution of aggregated join trees D Jankov, B Yuan, S Luo, C Jermaine Proceedings of the VLDB Endowment 14 (7), 2021 | 12 | 2021 |
| Hybrid: A large-scale linear-relational database management system M Gubanov, C Jermaine, Z Gao, S Luo MIT Annual DB Conference, 2016 | 8 | 2016 |
| Accelerating Cloud-Native Databases with Distributed PMem Stores J Sun, H Ma, L Zhang, H Liu, H Shi, S Luo, K Wu, K Bruhwiler, C Zhu, ... 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3043-3057, 2023 | 1 | 2023 |
| Automatic Matrix Format Exploration for Large Scale Linear Algebra S Luo Rice University, 2020 | 1 | 2020 |
| Adding Vector and Matrix Support to SimSQL S Luo | | 2016 |
