Missing Data Imputation with Uncertainty-Driven Network
Summary: NOMI: missing-data imputation via uncertainty-aware retrieval + neural-network Gaussian process imputator, explicitly targeting overfitting in deep distribution-modeling methods. Iterative calibration uses posterior uncertainty to refine local neighbor retrieval; EM interpretation gives the framework a neat theoretical footing. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jianwei Wang (University of New South Wales)
- 2. Ying Zhang (Zhejiang Gongshang University)
- 3. Kai Wang (Shanghai Jiao Tong University)
- 4. Xuemin Lin (Shanghai Jiao Tong University)
- 5. Wenjie Zhang (University of New South Wales)
BibTeX Citation
@inproceedings{wang_sigmod24,
title = {{Missing Data Imputation with Uncertainty-Driven Network}},
author = {Wang, Jianwei and Zhang, Ying and Wang, Kai and Lin, Xuemin and Zhang, Wenjie},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654920},
url = {https://dl.acm.org/doi/10.1145/3654920},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,395 | Efficient Unsupervised Community Search with Pre-trained Graph Transformer | 2024 | VLDB | 5.3240312e-05 |
| 8,445 | On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing | 2025 | VLDB | 5.3148581e-05 |
| 8,923 | Simpler is More: Efficient Top-K Nearest Neighbors Search on Large Road Networks | 2024 | VLDB | 5.2361195e-05 |
| 9,103 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB | 5.208561e-05 |
| 10,607 | Outliers: The Good, the Bad and the Ugly | 2026 | SIGMOD | 4.9605343e-05 |
| 11,357 | Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation | 2025 | VLDB | 4.9605343e-05 |
| 11,423 | DIM-SUM: Dynamic Imputation for Smart Utility Management | 2025 | VLDB | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,440 | Efficient and Effective Data Imputation with Influence Functions | 2022 | VLDB | 7.2791144e-05 |
| 4,479 | Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process | 2022 | SIGMOD | 6.5665703e-05 |
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