2 papers
cs.DS2026
Sparse Neighborhood Graph-Based Approximate Nearest Neighbor Search Revisited: Theoretical Analysis and Optimization
Xinran Ma, Zhaoqi Zhou, Chuan Zhou +3
Graph-based approaches to approximate nearest neighbor search (ANNS) enable fast, high-recall retrieval on billion-scale vector datasets. Among them, the Sparse Neighborhood Graph…
cs.DB2025
Downsizing Diffusion Models for Cardinality Estimation
Xinhe Mu, Zhaoqi Zhou, Zaijiu Shang +5
Learned cardinality estimation requires accurate model designs to capture the local characteristics of probability distributions. However, existing models may fail to accurately ca…