19 citations · 20 across the 6 of their papers we have counts for
6 papers
IGAA: Intent-Driven General Agentic AI for Edge Services Scheduling using Generative Meta Learning
Yan Sun, Yinqiu Liu, Shaoyong Guo +6
Agentic AI (AAI), which extends Large Language Models with enhanced reasoning capabilities, has emerged as a promising paradigm for autonomous edge service scheduling. However, use…
Generative Intent Prediction Agentic AI empowered Edge Service Function Chain Orchestration
Yan Sun, Shaoyong Guo, Sai Huang +3
With the development of artificial intelligence (AI), Agentic AI (AAI) based on large language models (LLMs) is gradually being applied to network management. However, in edge netw…
Toward Integrated Air-Ground Computing and Communications: A Synergy of Computing Power Networks and Low-Altitude Economy Network
Yan Sun, Yinqiu Liu, Shaoyong Guo +5
With the rapid rise of the Low-Altitude Economy (LAE), the demand for intelligent processing and real-time response in services such as aerial traffic, emergency communications, an…
A Synergy of Computing Power Networks and Low-Altitude Economy Intelligent Communications: Challenges, Design Principles, and Research Directions
Yan Sun, Yinqiu Liu, Shaoyong Guo +7
The rapid development of the Low-Altitude Economy (LAE) has created opportunities for emerging services such as autonomous aerial transportation, aerial sensing, and emergency resp…
CollaPipe: Adaptive Segment-Optimized Pipeline Parallelism for Collaborative LLM Training in Heterogeneous Edge Networks
Jiewei Chen, Xiumei Deng, Zehui Xiong +4
The increasing demand for intelligent mobile applications has made multi-agent collaboration with Transformer-based large language models (LLMs) essential in mobile edge computing…
Decentralized Blockchain for Privacy-Preserving Large-Scale Contact Tracing
Wenzhe Lv, Sheng Wu, Chunxiao Jiang +3
Activity-tracking applications and location-based services using short-range communication (SRC) techniques have been abruptly demanded in the COVID-19 pandemic, especially for aut…