Database Paper Browser

Back to papers

JHQ: Johnson-Lindenstrauss Enhanced Hierarchical Quantization for High-Dimensional Approximate Nearest Neighbor Search

Summary: Training-free ANN quantization via orthogonal Johnson-Lindenstrauss transform: near-Gaussian, independent dimensions enable fast codebook construction with provable error bounds. JHQ adds two-level primary/residual quantization for scalable candidate filtering and refinement, yielding large index-build and query speedups on high-d ANN. (summarized by gpt-5.4-mini on May 27 2026)

Paper ID
14297
Venue
VLDB
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,260 | 28.63%
DOI
10.14778/3801059.3801067

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
34 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.00076637636
79 A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces 1998 VLDB 0.00056242144
212 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00033913475
400 Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search 2007 VLDB 0.0002427237
562 Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search 2016 VLDB 0.00020091752
605 Locality-Sensitive Hashing Scheme Based on Dynamic Collision Counting 2012 SIGMOD 0.000193396
682 Quality and Efficiency in High Dimensional Nearest Neighbor Search 2009 SIGMOD 0.00018201541
867 SRS: Solving c-Approximate Nearest Neighbor Queries in High Dimensional Euclidean Space with a Tiny Index 2015 VLDB 0.00015792021
1,010 HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces 2018 VLDB 0.00014652858
2,324 RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search 2024 SIGMOD 9.0326444e-05
3,225 DeltaPQ: Lossless Product Quantization Code Compression for High Dimensional Similarity Search 2020 VLDB 7.3463484e-05
3,609 Similarity search in the blink of an eye with compressed indices 2023 VLDB 6.9215236e-05
4,598 Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search 2025 SIGMOD 6.0586236e-05
Previous Page 1 / 1 Next

Semantically Similar Papers