Our research lies at the intersection of Machine Learning and Databases.
We are the ML for Database Group at Nanyang Technological University (NTU). Our research focuses on the application of machine learning techniques to various problems in database management, with the vision of building an intelligent, self-adpative data management system. Our current research includes:
Congratulations to Jingyi for publishing the paper “PLATON: Top-down R-tree Packing with Learned Partition Policy” at SIGMOD 2024.
Congratulations to Songsong, Yile for publishing the paper “Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries” at SIGMOD 2024.
Congratulations to Zizhong for publishing the paper “Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes” at SIGMOD 2024.
Congratulations to Jiangneng for publishing the paper “Towards Designing and Learning Piecewise Space-Filling Curves” at VLDB 2023.
Congratulations to Gu Tu for publishing the paper “Effectively Learning Spatial Indexes with a Support for Updates” at SIGMOD 2023.