3 papers
cs.DC2025
Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures
Yang Wang, Wenxuan Zhu, Xuehui Quan +3
This paper addresses the challenges of fault prediction and delayed response in distributed systems by proposing an intelligent prediction method based on temporal feature learning…
cs.LG2025
Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems
Wenxuan Zhu, Qiyuan Wu, Tengda Tang +3
This paper addresses the limitations of multi-node perception and delayed scheduling response in distributed systems by proposing a GNN-based multi-node collaborative perception me…
cs.LG2025
Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks
Lu Dai, Wenxuan Zhu, Xuehui Quan +3
To improve the identification of potential anomaly patterns in complex user behavior, this paper proposes an anomaly detection method based on a deep mixture density network. The m…