Author

Jinyang Liu

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Sep 2026

Scalable and Adaptive Log-based Anomaly Detection: A Synergistic Approach

SeaLog is presented, an accurate, lightweight, and adaptive log-based anomaly detection framework that synergistically integrates the efficiency of traditional data-driven methods with the zero/few-shot learning ability of large language models (LLMs).

Jinyang Liu, Jun-Jie Huang, Zhihan Jiang et al. · ACM Transactions on Software... · 0 citations

Jul 2026

LogNLQ: Natural-Language Log Querying with Parser-Induced and Semantically Grounded Schemas

LogNLQ is a framework that formulates natural-language log querying as executable SQL generation over parser-induced and semantically grounded schemas, and demonstrates that LogNLQ consistently outperforms all representative baselines by wide margins, with especially pronounced gains on analytically complex scenario qu...

Jue Wang, Jinyang Liu, Zhuang-Bin Chen et al. · arXiv.org · 0 citations