Continuously Adaptive Similarity Search
Summary: Continuously adaptive similarity search via OASIS, avoiding full re-indexing as the distance metric evolves. LSH invariance lets the original index stay effective under metric updates; incremental re-hashing and metric learning yield up to 1,000x speedups with accuracy preserved. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Huayi Zhang
- 2. Lei Cao
- 3. Yizhou Yan
- 4. Samuel Madden
- 5. Elke A. Rundensteiner
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,837 | GTI: Graph-based Tree Index with Logarithm Updates for Nearest Neighbor Search in High-Dimensional Spaces | 2025 | VLDB | 4.6379694e-05 |
| 10,111 | Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search | 2026 | SIGMOD | 4.1945683e-05 |
| 10,158 | Efficient and Robust Out-Of-Distribution Vector Similarity Search with Cross-Distribution Monotonic Graph | 2026 | SIGMOD | 4.1945683e-05 |
| 11,375 | DESIRE: An Efficient Dynamic Cluster-based Forest Indexing for Similarity Search in Multi-Metric Spaces | 2022 | VLDB | 4.1945683e-05 |
| 11,412 | ONe Index for All Kernels (ONIAK): A Zero Re-Indexing LSH Solution to ANNS-ALT (After Linear Transformation) | 2022 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 161 | LOF: Identifying Density-Based Local Outliers | 2000 | SIGMOD | 0.00039846974 |
| 400 | Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search | 2007 | VLDB | 0.0002427237 |
| 605 | Locality-Sensitive Hashing Scheme Based on Dynamic Collision Counting | 2012 | SIGMOD | 0.000193396 |
| 662 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB | 0.00018475968 |
| 774 | Algorithms for Mining Distance-Based Outliers in Large Datasets | 1998 | VLDB | 0.00016865771 |
| 1,552 | Overview of Data Exploration Techniques | 2015 | SIGMOD | 0.00011408814 |
| 3,938 | Intelligent Probing for Locality Sensitive Hashing: Multi-Probe LSH and Beyond | 2017 | VLDB | 6.6155909e-05 |
| 6,991 | Sharing-Aware Outlier Analytics over High-Volume Data Streams | 2016 | SIGMOD | 4.8702811e-05 |
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