Controllable Tabular Data Synthesis Using Diffusion Models
Summary: Unconditional tabular diffusion is learned, with lightweight controllers enforcing user-defined conditions (fixed attributes, cross-table correlations). A correlation-aware sampler preserves realism under control, delivering SOTA results. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tongyu Liu
- 2. Ju Fan
- 3. Nan Tang
- 4. Guoliang Li
- 5. Xiaoyong Du
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,128 | WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models | 2026 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 758 | Deep Unsupervised Cardinality Estimation | 2020 | VLDB | 0.0001706608 |
| 1,446 | PrivBayes: Private Data Release via Bayesian Networks | 2014 | SIGMOD | 0.0001194108 |
| 2,349 | RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation | 2021 | VLDB | 8.9876423e-05 |
| 2,364 | Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries | 2020 | SIGMOD | 8.9554751e-05 |
| 2,421 | Data Synthesis based on Generative Adversarial Networks | 2018 | VLDB | 8.8514021e-05 |
| 4,884 | Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration | 2020 | VLDB | 5.8540287e-05 |
| 5,028 | Adaptive Data Augmentation for Supervised Learning over Missing Data | 2021 | VLDB | 5.7506746e-05 |
| 5,942 | SAM: Database Generation from Query Workloads with Supervised Autoregressive Models | 2022 | SIGMOD | 5.2634242e-05 |
| 7,634 | ReStore - Neural Data Completion for Relational Databases | 2021 | SIGMOD | 4.6911382e-05 |
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