Robust and Transferable Log-based Anomaly Detection
Summary: RT-Log introduces adaptive relation modeling over multi-field log information to capture selective feature interactions for robust anomaly detection. It also proposes environment generalization to learn environment-invariant representations, enabling transferability across dynamic runtimes; results on real data show consistent improvements over SOTA. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Peng Jia (Xi'an Jiaotong University)
- 2. Shaofeng Cai (National University of Singapore)
- 3. Beng Chin Ooi (National University of Singapore)
- 4. Pinghui Wang (Shenzhen University; Xi'an Jiaotong University)
- 5. Yiyuan Xiong (National University of Singapore)
BibTeX Citation
@inproceedings{jia_sigmod23,
title = {{Robust and Transferable Log-based Anomaly Detection}},
author = {Jia, Peng and Cai, Shaofeng and Ooi, Beng Chin and Wang, Pinghui and Xiong, Yiyuan},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588918},
url = {https://dl.acm.org/doi/10.1145/3588918},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,909 | METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection | 2024 | VLDB | 6.3584226e-05 |
| 5,351 | Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data | 2024 | SIGMOD | 6.1667315e-05 |
| 5,838 | PreLog: A Pre-trained Model for Log Analytics | 2024 | SIGMOD | 5.9752181e-05 |
| 9,212 | Powering In-Database Dynamic Model Slicing for Structured Data Analytics | 2024 | VLDB | 5.2060505e-05 |
| 10,410 | ANTEATER: A Filter-then-Scrutinize Architecture for End-to-End Attack Investigation | 2026 | SIGMOD | 4.9793485e-05 |
| 10,586 | AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction | 2026 | SIGMOD | 4.9793485e-05 |
| 11,101 | Agree to Disagree: Robust Anomaly Detection with Noisy Labels | 2025 | SIGMOD | 4.9793485e-05 |
| 11,343 | CoLA: Model Collaboration for Log-based Anomaly Detection | 2025 | VLDB | 4.9793485e-05 |
| 11,549 | Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems | 2024 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,256 | Towards Linear Algebra over Normalized Data | 2017 | VLDB | 0.00011314687 |
| 2,199 | Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra | 2019 | SIGMOD | 8.8750296e-05 |
| 4,489 | ARM-Net: Adaptive Relation Modeling Network for Structured Data | 2021 | SIGMOD | 6.5781098e-05 |
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|---|---|---|---|---|
| 1 | 6,066 | Streaming Anomaly Detection Using Randomized Matrix Sketching | 2016 | VLDB |
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| 3 | 11,799 | ADOps: An Anomaly Detection Pipeline in Structured Logs | 2023 | VLDB |
| 4 | 11,343 | CoLA: Model Collaboration for Log-based Anomaly Detection | 2025 | VLDB |
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| 6 | 1,005 | Anomaly Detection in Time Series: A Comprehensive Evaluation | 2022 | VLDB |
| 7 | 6,268 | An Experimental Evaluation of Anomaly Detection in Time Series | 2024 | VLDB |
| 8 | 5,838 | PreLog: A Pre-trained Model for Log Analytics | 2024 | SIGMOD |
| 9 | 10,208 | Substructure-aware Log Anomaly Detection | 2025 | VLDB |
| 10 | 10,692 | Unseen Anomaly Detection from System Logs | 2026 | SIGMOD |