1 citations · 1 across the 4 of their papers we have counts for
4 papers
Resource-Aware LLM Reasoning for Mobile Edge General Intelligence
Mingyi Luo, Ruichen Zhang, Xiangwang Hou +4
The rapid advancement of large language models (LLMs) has enabled an emergence of agentic artificial intelligence (AI) with powerful reasoning and autonomous decision-making capabi…
Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design
Xiangwang Hou, Jingjing Wang, Fangming Guan +3
Emerging real-time computer vision (CV) applications on wireless edge devices demand energy-efficient and privacy-preserving learning. Federated learning (FL) enables on-device tra…
Split Federated Learning for Low-Altitude Wireless Networks: Joint Sensing, Communication, Computation, and Control Co-design
Xiangwang Hou, Xianghe Wang, Jiacheng Wang +4
Unmanned aerial vehicles (UAVs) with integrated sensing, communication, computation and control (ISC3) capabilities have become key enablers of next-generation wireless networks. F…
Adaptive AUV Hunting Policy with Covert Communication via Diffusion Model
Xu Guo, Xiangwang Hou, Minrui Xu +4
Collaborative underwater target hunting, facilitated by multiple autonomous underwater vehicles (AUVs), plays a significant role in various domains, especially military missions. E…