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.
Yufeng Zhang, Wei Chen, Xi Chen, Qingzhi Ma, Lei Zhao. "Inductive Link Prediction for Sequential-emerging Knowledge Graph." In Proceedings of the 40th International Conference on Data Engineering (ICDE), May 13th. 2024.
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.
Ma, Qingzhi, and Peter Triantafillou. "Query-centric regression." Information Systems 104 (2022): 101736.
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.
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.
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.
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.