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20242026
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cs.DB2026

GPU-Native Approximate Nearest Neighbor Search with IVF-RaBitQ: Fast Index Build and Search

Jifan Shi, Jianyang Gao, James Xia +2

Approximate nearest neighbor search (ANNS) on GPUs is gaining increasing popularity for modern retrieval and recommendation workloads that operate over massive high-dimensional vec…

cs.DB2025

DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph

Ziqi Yin, Jianyang Gao, Pasquale Balsebre +2

Bimodal data, such as image-text pairs, has become increasingly prevalent in the digital era. The Hybrid Vector Query (HVQ) is an effective approach for querying such data and has…

cs.DB2024

SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search

Yutong Gou, Jianyang Gao, Yuexuan Xu +1

Approximate nearest neighbor (ANN) search in high-dimensional Euclidean space has a broad range of applications. Among existing ANN algorithms, graph-based methods have shown super…

cs.DB2024

Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search

Jianyang Gao, Yutong Gou, Yuexuan Xu +3

Approximate nearest neighbor (ANN) query in high-dimensional Euclidean space is a key operator in database systems. For this query, quantization is a popular family of methods deve…

cs.DB2024

iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search

Yuexuan Xu, Jianyang Gao, Yutong Gou +2

Range-filtering approximate nearest neighbor (RFANN) search is attracting increasing attention in academia and industry. Given a set of data objects, each being a pair of a high-di…