10 papers
PropLLM: Propagation-Aware Scene Reconstruction for Network Fault Diagnosis
Zongzong Wu, Ming Zhao, Fengxiao Tang +1
Network faults propagate layer by layer along topology and protocol dependencies, yet operations systems typically observe only symptomatic alerts at the tail end of propagation ch…
Toward Realistic Wi-Fi Fault Diagnosis: A Multi-Modal Benchmark
Junjian Zhang, Haobo Deng, Xinxin Li +3
Intelligent network operation and maintenance systems in modern networks continuously generate large volumes of multi-modal operational data. However, Wi-Fi fault diagnosis under h…
MSADM: Large Language Model (LLM) Assisted End-to-End Network Health Management Based on Multi-Scale Semanticization
Fengxiao Tang, Xiaonan Wang, Xun Yuan +4
Network device and system health management is the foundation of modern network operations and maintenance. Traditional health management methods, relying on expert identification…
FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion Model
Yi Xu, Zhigang Chen, Rui Wang +4
In industrial equipment monitoring, fault diagnosis is critical for ensuring system reliability and enabling predictive maintenance. However, the scarcity of fault data, due to the…
Chain or tree? Re-evaluating complex reasoning from the perspective of a matrix of thought
Fengxiao Tang, Yufeng Li, Zongzong Wu +1
Large Language Models (LLMs) face significant accuracy degradation due to insufficient reasoning ability when dealing with complex and abstract tasks. Thought structures such as Ch…
Federated Hypergraph Learning with Local Differential Privacy: Toward Privacy-Aware Hypergraph Structure Completion
Linfeng Luo, Zhiqi Guo, Fengxiao Tang +2
The rapid growth of graph-structured data necessitates partitioning and distributed storage across decentralized systems, driving the emergence of federated graph learning to colla…