activity
20232026
most citedExploiting Storage for Computing: Computation Reuse in Collaborative Edge Computing

8 citations · 9 across the 6 of their papers we have counts for

collaborators

7 papers

cs.NI2026

Workflow-Aware Communication and Computation Scheduling for Mobile Edge AI Agents

Xingqiu He, Chaoqun You, Feng Wang +3

AI agents are increasingly deployed in mobile edge environments to autonomously handle diverse tasks through multi-step workflows. Unlike conventional dependency-aware tasks with p…

cs.NI2026

Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks

Chaoqun You, Yueyue Dai, Xingqiu He +3

The physical resource block (PRB) allocation in Radio Access Networks (RANs) traditionally relies on case-by-case manual problem construction or, more recently, learning-based arti…

cs.NI2026

PreHO: Predictive Handover for LEO Satellite Networks

Xingqiu He, Zijie Ying, Chaoqun You +1

Low-Earth Orbit (LEO) Satellite Networks (LSNs) offer a promising solution for extending connectivity to areas not covered by Terrestrial Networks (TNs). However, the rapid movemen…

cs.NI2026

Energy-Efficient Online Scheduling for Wireless Powered Mobile Edge Computing Networks

Xingqiu He, Chaoqun You, Yuzhi Yang +4

Wireless Powered Mobile Edge Computing (WP-MEC) integrates mobile edge computing (MEC) with wireless power transfer (WPT) to simultaneously extend the operational lifetime and enha…

cs.NI2024★ 8 cited

Exploiting Storage for Computing: Computation Reuse in Collaborative Edge Computing

Xingqiu He, Chaoqun You, Tony Q. S. Quek

Collaborative Edge Computing (CEC) is a new edge computing paradigm that enables neighboring edge servers to share computational resources with each other. Although CEC can enhance…

cs.NI2023★ 1 cited

Joint User Association and Resource Allocation for Adaptive Semantic Communication in 5G and Beyond Networks

Xingqiu He, Chaoqun You, Zihan Chen +4

Semantic communication (SemCom) has emerged as a promising paradigm that leverages Deep Neural Networks (DNNs) to extract task-relevant information, thereby substantially reducing…

cs.LG2023

Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach

Xingqiu He, Chaoqun You, Tony Q. S. Quek

With the rapid development of Mobile Edge Computing (MEC), various real-time applications have been deployed to benefit people's daily lives. The performance of these applications…