Qingzhi Ma

According to our database, Qingzhi Ma authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Inductive Link Prediction for Sequential-emerging Knowledge Graph.

Yufeng Zhang, Wei Chen, Xi Chen, Qingzhi Ma, Lei Zhao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

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

Zicheng Cao, Qingzhi Ma, Wei Chen, Lei Zhao, An Liu

Proceedings of the Database Systems for Advanced Applications, 2024

CLR2G: Cross modal Contrastive Learning on Radiology Report Generation.

Hongchen Xue, Qingzhi Ma, Guanfeng Liu, Jianfeng Qu, Yuanjun Liu, An Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

KMCT: <i>k</i>-Means Clustering of Trajectories Efficiently in Location-Based Services.

Yuanjun Liu, Guanfeng Liu, Qingzhi Ma, Zhixu Li, Shiting Wen, Lei Zhao, An Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

SieveJoin: Boosting Multi-Way Joins with Reusable Bloom Filters.

Qingzhi Ma

CoRR, 2023

Streaming Weighted Sampling over Join Queries.

Michael Shekelyan, Graham Cormode, Qingzhi Ma, Ali Mohammadi Shanghooshabad, Peter Triantafillou

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

Query-centric regression.

Qingzhi Ma, Peter Triantafillou

Inf. Syst., 2022

Weighted Random Sampling over Joins.

Michael Shekelyan, Graham Cormode, Peter Triantafillou, Ali Mohammadi Shanghooshabad, Qingzhi Ma

CoRR, 2022

2021

Approximate query processing using machine learning.

Qingzhi Ma

PhD thesis, 2021

Performance Optimization Analysis of Hybrid Excitation Generator With the Electromagnetic Rotor and Embedded Permanent Magnet Rotor for Vehicle.

Huihui Geng, Xueyi Zhang, Lanian Tong, Qingzhi Ma, Mingjun Xu, Yufeng Zhang, Lei Wang

IEEE Access, 2021

PGMJoins: Random Join Sampling with Graphical Models.

Ali Mohammadi Shanghooshabad, Meghdad Kurmanji, Qingzhi Ma, Michael Shekelyan, Mehrdad Almasi, Peter Triantafillou

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

Learned Approximate Query Processing: Make it Light, Accurate and Fast.

Qingzhi Ma, Ali Mohammadi Shanghooshabad, Mehrdad Almasi, Meghdad Kurmanji, Peter Triantafillou

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Query-Centric Regression for In-DBMS Analytics.

Qingzhi Ma, Peter Triantafillou

Proceedings of the 22nd International Workshop on Design, 2020

2019

DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models.

Qingzhi Ma, Peter Triantafillou

Proceedings of the 2019 International Conference on Management of Data, 2019