LiteHST: A Tree Embedding based Method for Similarity Search
Summary: LiteHST: tree-embedding index for kNN under arbitrary metrics. Directly uses the HST tree for search (no embedding index) with a faster construction, lower time, and optimal distance bounds, plus reductions in distance computations; outperforms SOTA. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuxiang Zeng (Beihang University; Hong Kong University of Science and Technology)
- 2. Yongxin Tong (Beihang University)
- 3. Lei Chen (Hong Kong University of Science and Technology)
BibTeX Citation
@inproceedings{zeng_sigmod23,
title = {{LiteHST: A Tree Embedding based Method for Similarity Search}},
author = {Zeng, Yuxiang and Tong, Yongxin and Chen, Lei},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588715},
url = {https://dl.acm.org/doi/10.1145/3588715},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,124 | GTI: Graph-based Tree Index with Logarithm Updates for Nearest Neighbor Search in High-Dimensional Spaces | 2025 | VLDB | 5.6961208e-05 |
| 7,474 | GTS: GPU-based Tree Index for Fast Similarity Search | 2024 | SIGMOD | 5.6093517e-05 |
| 10,400 | Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search | 2026 | SIGMOD | 5.093636e-05 |
| 10,512 | SVFusion: A CPU-GPU Co-Processing Architecture for Large-Scale Real-Time Vector Search | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,947 | Indexing for Subtree Similarity-Search using Edit Distance | 2013 | SIGMOD |
| 2 | 1,934 | Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces | 2023 | VLDB |
| 3 | 9,334 | Adaptive Indexing in High-Dimensional Metric Spaces | 2023 | VLDB |
| 4 | 5,800 | DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search | 2024 | VLDB |
| 5 | 7,474 | GTS: GPU-based Tree Index for Fast Similarity Search | 2024 | SIGMOD |
| 6 | 10,469 | LM-Tree: A Hybrid Learned Index for Similarity Search in Metric Spaces | 2026 | SIGMOD |
| 7 | 581 | Quality and Efficiency in High Dimensional Nearest Neighbor Search | 2009 | SIGMOD |
| 8 | 7,124 | GTI: Graph-based Tree Index with Logarithm Updates for Nearest Neighbor Search in High-Dimensional Spaces | 2025 | VLDB |
| 9 | 6,832 | A Scalable Index for Top-k Subtree Similarity Queries | 2019 | SIGMOD |
| 10 | 3,047 | Similarity Evaluation on Tree-structured Data | 2005 | SIGMOD |