LISA: A Learned Index Structure for Spatial Data
Summary: LISA applies learned indexing to spatial data: map 2D points to 1D keys, predict shards, and organize pages with local models. Lattice regression converts KNN to range queries and supports updates; experiments show storage and IO gains vs R-tree. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Pengfei Li
- 2. Hua Lu
- 3. Qian Zheng
- 4. Long Yang
- 5. Gang Pan
Incoming Citations (Sorted by Pagerank)
Showing 40 of 40 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0032118946 |
| 6 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.0016113151 |
| 24 | The R+-Tree: A Dynamic Index For Multi-Dimensional Objects | 1987 | VLDB | 0.00083300888 |
| 48 | Nearest Neighbor Queries | 1995 | SIGMOD | 0.0006954126 |
| 91 | M-tree: An Efficient Access Method for Similarity Search in Metric Spaces | 1997 | VLDB | 0.00051785122 |
| 101 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049778866 |
| 356 | Hilbert R-tree: An Improved R-tree Using Fractals | 1994 | VLDB | 0.00026091196 |
| 796 | SageDB: A Learned Database System | 2019 | CIDR | 0.00016541749 |
| 2,492 | Integrating the UB-Tree into a Database System Kernel | 2000 | VLDB | 8.649434e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,769 | Adaptive Indexing of Objects with Spatial Extent | 2023 | VLDB | 4.2815042e-05 |
| 2,144 | The LSD tree: spatial access to multidimensional point and non-point objects | 1989 | VLDB | 9.4375327e-05 |
| 10,169 | From Learning to Recycling: A Log-Structured Learned-Less Index | 2026 | SIGMOD | 4.1905499e-05 |
| 101 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049778866 |
| 5,327 | DILI: A Distribution-Driven Learned Index | 2023 | VLDB | 5.5660777e-05 |
| 5,463 | The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data | 2023 | SIGMOD | 5.4920768e-05 |
| 9,618 | A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach | 2025 | SIGMOD | 4.3131993e-05 |
| 10,331 | LiBox: A Learned Index as an Array to Minimize Last-Mile Search | 2026 | VLDB | 4.1905499e-05 |
| 1,512 | Indexing Land Surface for Efficient kNN Query | 2008 | VLDB | 0.00011582099 |
| 2,676 | Effectively Learning Spatial Indices | 2020 | VLDB | 8.326321e-05 |