4 papers
Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning
Renzi Meng, Heyi Wang, Yumeng Sun +3
This paper addresses the increasingly prominent problem of anomaly detection in distributed systems. It proposes a detection method based on federated contrastive learning. The goa…
Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation
Nan Jiang, Wenxuan Zhu, Xu Han +2
This study focuses on the challenge of predicting network traffic within complex topological environments. It introduces a spatiotemporal modeling approach that integrates Graph Co…
Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies
Xu Han, Yumeng Sun, Weiqiang Huang +2
Few-shot text classification has important application value in low-resource environments. This paper proposes a strategy that combines adaptive fine-tuning, contrastive learning,…
Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN
Weiqiang Huang, Juecen Zhan, Yumeng Sun +3
Multi-sensor systems are widely used in the Internet of Things, environmental monitoring, and intelligent manufacturing. However, traditional fixed-frequency sampling strategies of…