3 papers
cs.DB2026
TLSQL: Table Learning Structured Query Language
Feiyang Chen, Ken Zhong, Aoqian Zhang +3
Table learning has recently emerged as an important paradigm at the intersection of database systems and machine learning. However, applying table learning in practice often requir…
cs.LG2026
LakeMLB: Data Lake Machine Learning Benchmark
Feiyu Pan, Tianbin Zhang, Aoqian Zhang +5
Data lakes have become a fundamental platform for large-scale machine learning by enabling flexible management of heterogeneous data. Despite their growing importance, standardized…
cs.DB2025
CARPO: Leveraging Listwise Learning-to-Rank for Context-Aware Query Plan Optimization
Wenrui Zhou, Qiyu Liu, Jingshu Peng +2
Efficient data processing is increasingly vital, with query optimizers playing a fundamental role in translating SQL queries into optimal execution plans. Traditional cost-based op…