Regularized Pairwise Relationship based Analytics for Structured Data
Summary: ATT-Reg: field-adaptive attentive regularization for pairwise attribute interactions in structured data. Bayesian-inspired adaptive regularization sets pairwise strengths from data and dependencies, boosting accuracy with interpretable feature attribution. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Zhaojing Luo
- 2. Shaofeng Cai
- 3. Yatong Wang
- 4. Beng Chin Ooi
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,762 | METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection | 2024 | VLDB | 5.9395463e-05 |
| 6,502 | Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System | 2023 | VLDB | 5.0361846e-05 |
| 8,459 | Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs | 2024 | VLDB | 4.5065275e-05 |
| 10,100 | AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction | 2026 | SIGMOD | 4.1945683e-05 |
| 10,117 | AixelAsk: A Stepwise-Guided Retrieval and Reasoning Framework for Large Table QA | 2026 | SIGMOD | 4.1945683e-05 |
| 10,595 | Optimized Batch Prompting for Cost-effective LLMs | 2025 | VLDB | 4.1945683e-05 |
| 10,998 | Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems | 2024 | VLDB | 4.1945683e-05 |
| 11,266 | MINT: Detecting Fraudulent Behaviors from Time-series Relational Data | 2023 | VLDB | 4.1945683e-05 |
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Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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