6 papers
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,…
State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination
Qingyuan He, Chang Liu, Juecen Zhan +2
This paper addresses the challenge of energy efficiency management faced by intelligent IoT devices in complex application environments. A novel optimization method is proposed, co…
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…
Improving Harmful Text Detection with Joint Retrieval and External Knowledge
Zidong Yu, Shuo Wang, Nan Jiang +3
Harmful text detection has become a crucial task in the development and deployment of large language models, especially as AI-generated content continues to expand across digital p…
A Deep Learning Framework for Boundary-Aware Semantic Segmentation
Tai An, Weiqiang Huang, Da Xu +3
As a fundamental task in computer vision, semantic segmentation is widely applied in fields such as autonomous driving, remote sensing image analysis, and medical image processing.…