Towards Designing and Learning Piecewise Space-Filling Curves
Summary: Proposes piecewise space-filling curves that apply different mapping schemes per data subspace, enabling locally tailored locality-preserving mappings instead of a single global SFC. Introduces Bit Merging tree (BMTree) and an RL-based builder that jointly derives subspaces and their SFCs, improving multidimensional-to-1D indexing and query performance over existing SFCs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiangneng Li
- 2. Zheng Wang
- 3. Gao Cong
- 4. Cheng Long
- 5. Han Mao Kiah
- 6. Bin Cui
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,282 | Toward Drift-Aware Database Benchmarking | 2026 | VLDB | 4.1905499e-05 |
| 10,394 | MAST: Towards Efficient Analytical Query Processing on Point Cloud Data | 2025 | SIGMOD | 4.1905499e-05 |
| 10,396 | Optimizing Block Skipping for High-Dimensional Data with Learned Adaptive Curve | 2025 | SIGMOD | 4.1905499e-05 |
| 10,983 | BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data | 2024 | SIGMOD | 4.1905499e-05 |
| 11,139 | Efficient Cost Modeling of Space-filling Curves | 2024 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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