MAPPipe: A System for Bridging Efficiency and Quality in Data Preprocessing via Knowledge-Augmented Structural Pruning
Summary: MAPPipe uses knowledge-augmented structural pruning to guide surrogate-free exploration of preprocessing pipelines, unifying recommendation, reconstruction, and search. Its interactive system achieves near-optimal quality across six operations while sharply reducing runtime and supporting domain intervention. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Xiaoou Ding (Harbin Engineering University)
- 2. Haifeng Cheng (Harbin Engineering University)
- 3. Yanshuo Liu (Harbin Engineering University)
- 4. Chen Wang (Tsinghua University)
- 5. Hongzhi Wang (Harbin Engineering University)
BibTeX Citation
@article{ding_vldb26,
title = {{MAPPipe: A System for Bridging Efficiency and Quality in Data Preprocessing via Knowledge-Augmented Structural Pruning}},
author = {Ding, Xiaoou and Cheng, Haifeng and Liu, Yanshuo and Wang, Chen and Wang, Hongzhi},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4682--4685},
doi = {10.14778/3827998.3828096},
url = {https://doi.org/10.14778/3827998.3828096},
year = {2026}
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Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,524 | DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data | 2023 | SIGMOD | 6.5621504e-05 |
| 5,572 | Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications | 2023 | SIGMOD | 6.0802555e-05 |
| 5,848 | HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation | 2023 | SIGMOD | 5.9720806e-05 |
| 6,921 | CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning | 2024 | SIGMOD | 5.6432616e-05 |
| 11,353 | UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow | 2025 | VLDB | 4.9793485e-05 |
| 11,403 | TARImpute: Task-Aware auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies | 2025 | VLDB | 4.9793485e-05 |
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