Consistent and Flexible Selectivity Estimation for High-Dimensional Data
Summary: Deep-learning-based selectivity estimation learns a query-dependent piecewise-linear function whose output is guaranteed to be non-decreasing in the threshold. To scale to high-dimensional data, the method partitions the dataset into disjoint subsets and trains local models, achieving superior accuracy and efficiency over state-of-the-art approaches on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yaoshu Wang
- 2. Chuan Xiao
- 3. Jianbin Qin
- 4. Rui Mao
- 5. Makoto Onizuka
- 6. Wei Wang
- 7. Rui Zhang
- 8. Yoshiharu Ishikawa
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,001 | Neural Subgraph Counting with Wasserstein Estimator | 2022 | SIGMOD | 7.7404487e-05 |
| 4,278 | Similarity Query Processing for High-Dimensional Data | 2020 | VLDB | 6.2953764e-05 |
| 9,485 | Spatial Query Optimization With Learning | 2024 | VLDB | 4.3341665e-05 |
| 9,621 | ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation | 2023 | VLDB | 4.3167167e-05 |
| 10,219 | Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking | 2026 | SIGMOD | 4.1945683e-05 |
| 10,833 | Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects | 2025 | VLDB | 4.1945683e-05 |
| 11,190 | Efficient and Effective Cardinality Estimation for Skyline Family | 2023 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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