SALI: A Scalable Adaptive Learned Index Framework based on Probability Models
Summary: SALI: scalable adaptive learned index using probability models for data-driven lookup. Core ideas: evolving nodes to adapt to skew and boost concurrency; lightweight statistical maintenance to improve scalability on LIPP with fine-grained locks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiake Ge (Renmin University of China)
- 2. Huanchen Zhang (Shanghai Qi Zhi Institute; Tsinghua University)
- 3. Boyu Shi (Renmin University of China)
- 4. Yuanhui Luo (Renmin University of China)
- 5. Yunda Guo (Renmin University of China)
- 6. Yunpeng Chai (Renmin University of China)
- 7. Yuxing Chen (Tencent)
- 8. Anqun Pan (Tencent)
BibTeX Citation
@inproceedings{ge_sigmod23,
title = {{SALI: A Scalable Adaptive Learned Index Framework based on Probability Models}},
author = {Ge, Jiake and Zhang, Huanchen and Shi, Boyu and Luo, Yuanhui and Guo, Yunda and Chai, Yunpeng and Chen, Yuxing and Pan, Anqun},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626752},
url = {https://dl.acm.org/doi/10.1145/3626752},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,535 | Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction | 2024 | SIGMOD | 5.5003117e-05 |
| 9,777 | Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis] | 2026 | SIGMOD | 5.1314952e-05 |
| 10,475 | LINE: A Learned Index with Group-Enhanced Leaves and Cache-Optimized Inner Tree | 2026 | SIGMOD | 4.9793485e-05 |
| 10,489 | On Self-Designing Learned Indexes | 2026 | SIGMOD | 4.9793485e-05 |
| 10,575 | High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff | 2026 | SIGMOD | 4.9793485e-05 |
| 10,648 | HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads | 2026 | SIGMOD | 4.9793485e-05 |
| 11,064 | LiBox: A Learned Index as an Array to Minimize Last-Mile Search | 2026 | VLDB | 4.9793485e-05 |
| 11,122 | VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity | 2025 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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