Adaptive Data Augmentation for Supervised Learning over Missing Data
Summary: Adapts labeled source data to target-specific missingness rather than independently imputing both datasets. DAGAN uses coupled unsupervised GANs to learn target masks, augment source data while preserving labels, and retrain models for robust cross-pattern prediction. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tongyu Liu (Renmin University of China)
- 2. Ju Fan (Renmin University of China)
- 3. Yinqing Luo (Renmin University of China)
- 4. Nan Tang (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 5. Guoliang Li (Tsinghua University)
- 6. Xiaoyong Du (Renmin University of China)
BibTeX Citation
@article{liu_vldb21,
title = {{Adaptive Data Augmentation for Supervised Learning over Missing Data}},
author = {Liu, Tongyu and Fan, Ju and Luo, Yinqing and Tang, Nan and Li, Guoliang and Du, Xiaoyong},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {7},
pages = {1202--1214},
doi = {10.14778/3450980.3450989},
url = {https://doi.org/10.14778/3450980.3450989},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,440 | Efficient and Effective Data Imputation with Influence Functions | 2022 | VLDB | 7.2791144e-05 |
| 3,757 | GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data | 2023 | SIGMOD | 7.0254733e-05 |
| 5,830 | Domain Adaptation for Deep Entity Resolution | 2022 | SIGMOD | 5.9627079e-05 |
| 6,698 | Controllable Tabular Data Synthesis Using Diffusion Models | 2024 | SIGMOD | 5.6888667e-05 |
| 9,496 | ZIP: Lazy Imputation during Query Processing | 2024 | VLDB | 5.1540002e-05 |
| 10,218 | In-Database Data Imputation | 2024 | SIGMOD | 5.0461625e-05 |
| 11,423 | DIM-SUM: Dynamic Imputation for Smart Utility Management | 2025 | VLDB | 4.9605343e-05 |
| 11,570 | Certain and Approximately Certain Models for Statistical Learning | 2024 | SIGMOD | 4.9605343e-05 |
| 11,713 | Generalizable Data Cleaning of Tabular Data in Latent Space | 2024 | VLDB | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 100 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00033951027 |
| 652 | Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes | 2013 | SIGMOD | 0.00015117165 |
| 717 | Guided Data Repair | 2011 | VLDB | 0.00014531658 |
| 1,306 | Detecting Data Errors: Where are we and what needs to be done? | 2016 | VLDB | 0.00011076619 |
| 1,347 | Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning | 2020 | VLDB | 0.00010947547 |
| 1,731 | Raha: A Configuration-Free Error Detection System | 2019 | SIGMOD | 9.7585913e-05 |
| 2,180 | Data Synthesis based on Generative Adversarial Networks | 2018 | VLDB | 8.9007609e-05 |
| 2,290 | Active Learning for ML Enhanced Database Systems | 2020 | SIGMOD | 8.6813363e-05 |
| 3,741 | Learning to Validate the Predictions of Black Box Classifiers on Unseen Data | 2020 | SIGMOD | 7.0396815e-05 |
| 4,348 | Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration | 2020 | VLDB | 6.6367564e-05 |
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