Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search
Summary: Introduces query-aware bucket partitioning for LSH, anchoring random-projection buckets to each query rather than precomputing query-oblivious shifts. QALSH supports external-memory c-ANN for any c>1, improving quality and performance over C2LSH and LSB-Forest, especially in high dimensions. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qiang Huang (Sun Yat-Sen University)
- 2. Jianlin Feng (Sun Yat-Sen University)
- 3. Yikai Zhang (Sun Yat-Sen University)
- 4. Qiong Fang (South China University of Technology)
- 5. Wilfred Ng (Hong Kong University of Science and Technology)
BibTeX Citation
@article{huang_vldb16,
title = {{Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search}},
author = {Huang, Qiang and Feng, Jianlin and Zhang, Yikai and Fang, Qiong and Ng, Wilfred},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {1},
doi = {10.14778/2850469.2850470},
url = {https://doi.org/10.14778/2850469.2850470},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 18 of 68 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 21 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB | 0.00056760516 |
| 369 | Locality-Sensitive Hashing Scheme Based on Dynamic Collision Counting | 2012 | SIGMOD | 0.00019945234 |
| 580 | SRS: Solving c-Approximate Nearest Neighbor Queries in High Dimensional Euclidean Space with a Tiny Index | 2015 | VLDB | 0.00016157635 |
| 690 | Efficient Similarity Search and Classification via Rank Aggregation | 2003 | SIGMOD | 0.0001492934 |
| 990 | SK-LSH: An Efficient Index Structure for Approximate Nearest Neighbor Search | 2014 | VLDB | 0.00012796562 |
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