Qingzhi(Quincy) Ma

Qingzhi(Quincy) Ma

马清志

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publications

DBEst: Revisiting approximate query processing engines with machine learning models

Published in Proceedings of the 2019 International Conference on Management of Data (SIGMOD 2019), 2019

AQP Engine.

Recommended citation: Ma, Qingzhi, and Peter Triantafillou. "Dbest: Revisiting approximate query processing engines with machine learning models." In Proceedings of the 2019 International Conference on Management of Data, pp. 1553-1570. 2019. https://wrap.warwick.ac.uk/115961/7/WRAP-DBEst-revisiting-approximate-query-processing-engines-machine-learning-models-Triantafillou-2019.pdf

Query-centric regression for in-dbms analytics

Published in Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference (DOLAP 2020), 2020

Query-centric regression

Recommended citation: Ma, Qingzhi, and Peter Triantafillou. "Query-centric regression for in-dbms analytics." In Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference (EDBT/ICDT 2020), vol. 2572, pp. 16-25. 2020. http://academicpages.github.io/files/paper3.pdf

Learned approximate query processing: Make it light, accurate and fast

Published in Conference on Innovative Data Systems(CIDR21), 2021

DBEst++

Recommended citation: Ma, Qingzhi, Ali M. Shanghooshabad, Mehrdad Almasi, Meghdad Kurmanji, and Peter Triantafillou. "Learned approximate query processing: Make it light, accurate and fast." In Conference on Innovative Data Systems,(CIDR21). 2021. https://wrap.warwick.ac.uk/159826/1/WRAP-Learned-approximate-query-processing-make-light-accurate-fast-2021.pdf

PGMJoins: Random Join Sampling with Graphical Models

Published in Proceedings of the 2021 International Conference on Management of Data (SIGMOD 2021), 2021

Join Queries; Random sampling; PGMs for data management.

Recommended citation: Shanghooshabad, Ali Mohammadi, Meghdad Kurmanji, Qingzhi Ma, Michael Shekelyan, Mehrdad Almasi, and Peter Triantafillou. "Pgmjoins: Random join sampling with graphical models." In Proceedings of the 2021 International Conference on Management of Data, pp. 1610-1622. 2021. https://dl.acm.org/doi/abs/10.1145/3448016.3457302

Streaming weighted sampling over join queries

Published in International Conference on Extending Database Technology (EDBT) 2023, 2023

sampling

Recommended citation: Shekelyan, Michael, Graham Cormode, Qingzhi Ma, Ali Mohammadi Shanghooshabad, and Peter Triantafillou. "Streaming weighted sampling over join queries." In Proceedings of the 26th International Conference on Extending Database Technology (EDBT) 2023, March 2023. 2023. https://wrap.warwick.ac.uk/172076/1/WRAP-Streaming-weighted-sampling-join-queries-22.pdf

Segam: Secure and Efficient Group-by-Aggregation Queries across Multiple Private Database

Published in The International Conference on Database Systems for Advanced Applications (DASFAA), 2024

Group-by-Aggregation Queries

Recommended citation: Zicheng Cao, Qingzhi Ma, Wei Chen, Lei Zhao, An Liu. "Segam: Secure and Efficient Group-by-Aggregation Queries across Multiple Private Database". The International Conference on Database Systems for Advanced Applications (DASFAA), July 2nd. 2024. https://www.dasfaa2024.org/

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