Machine Learning for Databases
Summary: Tutorial on ML-based DB optimization, taxonomy of NP-hard offline tasks (knob space, index/view, partitioning) and online tasks (query rewrite, join order). Reviews regression and prediction approaches for cost, cardinality, latency, and workload, and outlines open research challenges. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Guoliang Li
- 2. Xuanhe Zhou
- 3. Lei Cao
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 35 of 35 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,364 | Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries | 2020 | SIGMOD | 8.9554751e-05 |
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| 9,120 | Deep Query Optimization | 2019 | SIGMOD | 4.392741e-05 |
| 6,775 | A Unified Transferable Model for ML-Enhanced DBMS | 2022 | CIDR | 4.9299192e-05 |
| 9,485 | Spatial Query Optimization With Learning | 2024 | VLDB | 4.3341665e-05 |
| 6,685 | How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks | 2025 | SIGMOD | 4.9627485e-05 |
| 3,473 | AI Meets Database: AI4DB and DB4AI | 2021 | SIGMOD | 7.062864e-05 |
| 3,658 | Towards a Hands-Free Query Optimizer through Deep Learning | 2019 | CIDR | 6.8704209e-05 |
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| 10,843 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB | 4.1945683e-05 |