4 papers
M-MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework for Reliable Cloud Infrastructure
Hongyi Xie, Min Zhou, Qiao Yu +4
As cloud services become increasingly integral to modern IT infrastructure, ensuring hardware reliability is essential to sustain high-quality service. Memory failures pose a signi…
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning
Kaidi Li, Tianmeng Yang, Min Zhou +9
Graph-based fraud detection has widespread application in modern industry scenarios, such as spam review and malicious account detection. While considerable efforts have been devot…
Investigating Memory Failure Prediction Across CPU Architectures
Qiao Yu, Wengui Zhang, Min Zhou +5
Large-scale datacenters often experience memory failures, where Uncorrectable Errors (UEs) highlight critical malfunction in Dual Inline Memory Modules (DIMMs). Existing approaches…
Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training
Haonan Chen, Zhicheng Dou, Xuetong Hao +3
Cloud solutions have gained significant popularity in the technology industry as they offer a combination of services and tools to tackle specific problems. However, despite their…