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Guiyang Liu

2 accepted papers

2025

EagerLog: Active Learning Enhanced Retrieval Augmented Generation for Log-based Anomaly Detection

Chiming Duan, Tong Jia, Yong Yang, Guiyang Liu, Jinbu Liu, Huxing Zhang +3
ICASSP 2025accepted

Logs record essential information about system operations and serve as a critical source for anomaly detection, which has generated growing research interest. Utilizing large language models (LLMs) within a retrieval-augmented generation (RAG) framework for log-based anomaly detection is an effectiv…

Cited by 0Source ↗Scholar ↗
2025

Exploring Inter-Variate and Long-Term Dependencies to Boost Multivariate Time Series Forecasting

Xi Ding, Yifan He, Shuigeng Zhou, Guiyang Liu, Qi Zhou
ICASSP 2025accepted

Multivariate Time Series Forecasting (MTSF) is a critical task in various domains, and Large Language Models (LLMs) for MTSF have recently received considerable attention. Despite significant progress in large-scale time series models, particularly in fine-tuning pre-trained LLMs for MTSF, there are…

Cited by 0Source ↗Scholar ↗