9 citations · 17 across the 4 of their papers we have counts for
4 papers
LLM-Driven Self-Refinement for Embodied Drone Task Planning
Deyu Zhang, Xicheng Zhang, Jiahao Li +6
We introduce SRDrone, a novel system designed for self-refinement task planning in industrial-grade embodied drones. SRDrone incorporates two key technical contributions: First, it…
Efficient Federated Meta-Learning over Multi-Access Wireless Networks
Sheng Yue, Ju Ren, Jiang Xin +3
Federated meta-learning (FML) has emerged as a promising paradigm to cope with the data limitation and heterogeneity challenges in today's edge learning arena. However, its perform…
Energy Harvesting-Aided Spectrum Sensing and Data Transmission in Heterogeneous Cognitive Radio Sensor Network
Deyu Zhang, Zhigang Chen Ju Ren, Ning Zhang +4
The incorporation of Cognitive Radio (CR) and Energy Harvesting (EH) capabilities in wireless sensor networks enables spectrum and energy efficient heterogeneous cognitive radio se…
Dynamic Channel Access for Energy Efficient Data Gathering in Cognitive Radio Sensor Networks
Ju Ren, Yaoxue Zhang, Ning Zhang +3
Wireless sensor networks (WSNs) operating in the license-free spectrum suffer from uncontrolled interference as those spectrum bands become increasingly crowded. The emerging cogni…