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cs.DB2025
Elastic Index Selection for Label-Hybrid AKNN Search
Mingyu Yang, Wenxuan Xia, Wentao Li +2
Real-world vector embeddings are usually associated with extra labels, such as attributes and keywords. Many applications require the nearest neighbor search that contains specific…
cs.DB2025
ESG: Elastic Graphs for Range-Filtering Approximate k-Nearest Neighbor Search
Mingyu Yang, Wentao Li, Zhitao Shen +2
Range-filtering approximate -nearest neighbor (RFAKNN) search takes as input a vector and a numeric value, returning points from a database of high-dimensional points. T…
cs.DB2024
Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search
Mingyu Yang, Liuchang Jing, Wentao Li +1
Approximate -nearest neighbor (AKNN) search is a fundamental problem with wide applications. To reduce memory and accelerate search, vector quantization is widely adopted. Howev…