CEDA: Learned Cardinality Estimation with Domain Adaptation
Summary: CEDA synthesizes training workloads from the database distribution and integrates histogram-derived features into an attention-based learned cardinality estimator to boost accuracy. It then applies domain adaptation to robustly generalize to unlabeled, drifting workloads, avoiding costly label collection. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zilong Wang (Beijing Jiaotong University)
- 2. Qixiong Zeng (Beijing Jiaotong University)
- 3. Ning Wang (Beijing Jiaotong University)
- 4. Haowen Lu (Beijing Jiaotong University)
- 5. Yue Zhang (Beijing Jiaotong University)
BibTeX Citation
@article{wang_vldb23,
title = {{CEDA: Learned Cardinality Estimation with Domain Adaptation}},
author = {Wang, Zilong and Zeng, Qixiong and Wang, Ning and Lu, Haowen and Zhang, Yue},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {3934--3937},
doi = {10.14778/3611540.3611589},
url = {https://doi.org/10.14778/3611540.3611589},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,076 | Refactoring Index Tuning Process with Benefit Estimation | 2024 | VLDB | 5.7098893e-05 |
| 9,971 | Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement | 2025 | SIGMOD | 5.1845938e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 18 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059284255 |
| 84 | Learned Cardinalities: Estimating Correlated Joins with Deep Learning | 2019 | CIDR | 0.00035838391 |
| 392 | Massive Stochastic Testing of SQL | 1998 | VLDB | 0.00019342814 |
| 401 | Deep Unsupervised Cardinality Estimation | 2020 | VLDB | 0.00019092557 |
| 697 | Selectivity Estimation for Range Predicates using Lightweight Models | 2019 | VLDB | 0.00014888851 |
| 2,723 | Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation | 2022 | VLDB | 8.2049453e-05 |
| 5,730 | Domain Adaptation for Deep Entity Resolution | 2022 | SIGMOD | 6.1071585e-05 |
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