Execution and optimisation for queries that combine relational operators with model-backed semantic operators, balancing latency, resource use, and result quality.
Songsong Mo
Research Fellow
College of Computing and Data Science
Nanyang Technological University, Singapore
Biography
I am a Research Fellow at NTU's College of Computing and Data Science. My research focuses on AI for database systems and database systems for AI, especially query optimisation, semantic query processing, and heterogeneous and multimodal data systems. I received my PhD in Computer Science from NTU in March 2026. Before pursuing my PhD at NTU, I completed both my bachelor's and master's degrees in Computer Science at Wuhan University.
Recent news
ARCADE appeared at IEEE ICDE 2026.
ScalePQO and TATA appeared in PVLDB.
RankPQO appeared in PVLDB.
Research projects
Storage, indexing, and real-time query processing across vector, spatial, text, image, and relational data, represented by the open-source ARCADE system.
Learning-enhanced optimisation for concurrent and parametric workloads, developed in PostgreSQL and extended to industrial-scale evaluation and integration in OceanBase.
Algorithms for graph analytics and urban data applications, including random-walk domination, public-transport scheduling, and trajectory-based advertising.
Selected publications
2026
PVLDB
Towards Industrial-Scale Parametric Query Optimization
Songsong Mo, Quanqing Xu, Xuchen Ding, Yue Zhao, Zhifeng Bao, Chuanhui Yang, and Gao Cong
2026
ICDE
2026
PVLDB
2025
PVLDB
2024
SIGMOD
Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries
Songsong Mo, Yile Chen, Hao Wang, Gao Cong, and Zhifeng Bao
Contact
The best way to reach me is by email at songsong.mo@ntu.edu.sg.