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 |
|---|---|---|---|---|
| 3,441 | Efficient and Effective Data Imputation with Influence Functions | 2022 | VLDB | 7.2980777e-05 |
| 3,941 | GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data | 2023 | SIGMOD | 6.9138042e-05 |
| 5,814 | Domain Adaptation for Deep Entity Resolution | 2022 | SIGMOD | 5.9852808e-05 |
| 6,680 | Controllable Tabular Data Synthesis Using Diffusion Models | 2024 | SIGMOD | 5.7104433e-05 |
| 9,455 | ZIP: Lazy Imputation during Query Processing | 2024 | VLDB | 5.1735482e-05 |
| 10,181 | In-Database Data Imputation | 2024 | SIGMOD | 5.0653015e-05 |
| 11,363 | DIM-SUM: Dynamic Imputation for Smart Utility Management | 2025 | VLDB | 4.9793485e-05 |
| 11,514 | Certain and Approximately Certain Models for Statistical Learning | 2024 | SIGMOD | 4.9793485e-05 |
| 11,661 | Generalizable Data Cleaning of Tabular Data in Latent Space | 2024 | VLDB | 4.9793485e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 104 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00033690989 |
| 652 | Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes | 2013 | SIGMOD | 0.00015121325 |
| 716 | Guided Data Repair | 2011 | VLDB | 0.00014553463 |
| 1,342 | Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning | 2020 | VLDB | 0.00010968223 |
| 1,344 | Detecting Data Errors: Where are we and what needs to be done? | 2016 | VLDB | 0.00010956518 |
| 1,805 | Raha: A Configuration-Free Error Detection System | 2019 | SIGMOD | 9.59842e-05 |
| 2,165 | Data Synthesis based on Generative Adversarial Networks | 2018 | VLDB | 8.933677e-05 |
| 2,275 | Active Learning for ML Enhanced Database Systems | 2020 | SIGMOD | 8.7090584e-05 |
| 3,735 | Learning to Validate the Predictions of Black Box Classifiers on Unseen Data | 2020 | SIGMOD | 7.0642839e-05 |
| 4,329 | Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration | 2020 | VLDB | 6.6597797e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,156 | Automatic Data Acquisition for Deep Learning | 2021 | VLDB |
| 2 | 11,322 | Federated Incomplete Tabular Data Prediction with Missing Complementarity | 2025 | VLDB |
| 3 | 8,969 | Supporting Database Constraints in Synthetic Data Generation based on Generative Adversarial Networks | 2020 | SIGMOD |
| 4 | 3,441 | Efficient and Effective Data Imputation with Influence Functions | 2022 | VLDB |
| 5 | 8,078 | Differentially Private Data Generation with Missing Data | 2024 | VLDB |
| 6 | 13,698 | Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation | 2023 | SIGMOD |
| 7 | 6,775 | Missing Data Imputation with Uncertainty-Driven Network | 2024 | SIGMOD |
| 8 | 5,643 | Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks | 2023 | VLDB |
| 9 | 10,112 | Data Augmentation for ML-driven Data Preparation and Integration | 2021 | VLDB |
| 10 | 11,514 | Certain and Approximately Certain Models for Statistical Learning | 2024 | SIGMOD |