4 papers
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…
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…
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…
An Empirical Study of Vulnerability Detection using Federated Learning
Peiheng Zhou, Ming Hu, Xingrun Quan +6
Although Deep Learning (DL) methods becoming increasingly popular in vulnerability detection, their performance is seriously limited by insufficient training data. This is mainly b…