FACE: A Normalizing Flow based Cardinality Estimator
Summary: FACE applies normalizing flows to data-driven cardinality estimation, learning continuous joint distributions that capture column dependencies with compact models. Dequantization, string-LIKE encoding/indexing, and Monte Carlo inference deliver higher accuracy at comparable latency and model size. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiayi Wang (Tsinghua University)
- 2. Chengliang Chai (Tsinghua University)
- 3. Jiabin Liu (Tsinghua University)
- 4. Guoliang Li (Tsinghua University)
BibTeX Citation
@article{wang_vldb22,
title = {{FACE: A Normalizing Flow based Cardinality Estimator}},
author = {Wang, Jiayi and Chai, Chengliang and Liu, Jiabin and Li, Guoliang},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {1},
pages = {72--84},
doi = {10.14778/3485450.3485458},
url = {https://doi.org/10.14778/3485450.3485458},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 32 of 32 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,620 | Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation | 2021 | VLDB |
| 2 | 513 | NeuroCard: One Cardinality Estimator for All Tables | 2021 | VLDB |
| 3 | 465 | An End-to-End Learning-based Cost Estimator | 2020 | VLDB |
| 4 | 9,844 | Cardinality Estimation of LIKE Predicate Queries using Deep Learning | 2025 | SIGMOD |
| 5 | 1,876 | Flow-Loss: Learning Cardinality Estimates That Matter | 2021 | VLDB |
| 6 | 401 | Deep Unsupervised Cardinality Estimation | 2020 | VLDB |
| 7 | 1,061 | Are We Ready For Learned Cardinality Estimation? | 2021 | VLDB |
| 8 | 6,543 | Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation | 2023 | SIGMOD |
| 9 | 2,991 | FactorJoin: A New Cardinality Estimation Framework for Join Queries | 2023 | SIGMOD |
| 10 | 2,723 | Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation | 2022 | VLDB |