most citedMLAD: A Unified Model for Multi-system Log Anomaly Detection

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cs.SE2024

ECLIPSE: Semantic Entropy-LCS for Cross-Lingual Industrial Log Parsing

Wei Zhang, Xianfu Cheng, Yi Zhang +8

Log parsing, a vital task for interpreting the vast and complex data produced within software architectures faces significant challenges in the transition from academic benchmarks…

cs.MA2024

mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture

Wei Zhang, Hongcheng Guo, Jian Yang +8

Root cause analysis (RCA) in Micro-services architecture (MSA) with escalating complexity encounters complex challenges in maintaining system stability and efficiency due to fault…

cs.SE20241 cited

MLAD: A Unified Model for Multi-system Log Anomaly Detection

Runqiang Zang, Hongcheng Guo, Jian Yang +6

In spite of the rapid advancements in unsupervised log anomaly detection techniques, the current mainstream models still necessitate specific training for individual system dataset…

cs.CV2023

FG-MDM: Towards Zero-Shot Human Motion Generation via ChatGPT-Refined Descriptions

Xu Shi, Wei Yao, Chuanchen Luo +3

Recently, significant progress has been made in text-based motion generation, enabling the generation of diverse and high-quality human motions that conform to textual descriptions…

cs.CL2023

OWL: A Large Language Model for IT Operations

Hongcheng Guo, Jian Yang, Jiaheng Liu +13

With the rapid development of IT operations, it has become increasingly crucial to efficiently manage and analyze large volumes of data for practical applications. The techniques o…