10 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 1 cited
Routing-Guided Learned Product Quantization for Graph-Based Approximate Nearest Neighbor Search
Qiang Yue, Xiaoliang Xu, Yuxiang Wang +2
Given a vector dataset , a query vector , graph-based Approximate Nearest Neighbor Search (ANNS) aims to build a proximity graph (PG) as an index of $\mathc…
cs.DB2022★ 5 cited
Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraints
Mengzhao Wang, Lingwei Lv, Xiaoliang Xu +3
As research interest surges, vector similarity search is applied in multiple fields, including data mining, computer vision, and information retrieval. {Given a set of objects (e.g…
cs.IR2021★ 10 cited
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search
Mengzhao Wang, Xiaoliang Xu, Qiang Yue +1
Approximate nearest neighbor search (ANNS) constitutes an important operation in a multitude of applications, including recommendation systems, information retrieval, and pattern r…