activity
20232026
most citedSpatiotemporal Non-Uniformity-Aware Online Task Scheduling in Collaborative Edge Computing for Industrial Internet of Things

11 citations · 11 across the 10 of their papers we have counts for

collaborators

10 papers

cs.NI2026

Towards Ubiquitous 6G Computing and Networking Convergence: Architecture and Mechanism for Cross-Domain Resource Coordination

Yang Li, Xing Zhang, Yan Zhang +1

The 6G network will support six major application scenarios, such as immersive communication, integrated AI and communication, and integrated sensing and communication. Many scenar…

cs.AI2026

CORE:Toward Ubiquitous 6G Intelligence Through Collaborative Orchestration of Large Language Model Agents Over Hierarchical Edge

Zitong Yu, Boquan Sun, Yang Li +2

Rapid advancements in sixth-generation (6G) networks and large language models (LLMs) have paved the way for ubiquitous intelligence, wherein seamless connectivity and distributed…

cs.MA2025

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration

Zheyan Qu, Wenbo Wang, Zitong Yu +3

The ubiquitous computing resources in 6G networks provide ideal environments for the fusion of large language models (LLMs) and intelligent services through the agent framework. Wi…

cs.PF2025

Two-Timescale Dynamic Service Deployment and Task Scheduling with Spatiotemporal Collaboration in Mobile Edge Networks

Yang Li, Xing Zhang, Yunji Zhao +1

Collaborative edge computing addresses the resource constraints of individual edge nodes by enabling resource sharing and task co-processing across multiple nodes. To fully leverag…

cs.PF2025★ 11 cited

Spatiotemporal Non-Uniformity-Aware Online Task Scheduling in Collaborative Edge Computing for Industrial Internet of Things

Yang Li, Xing Zhang, Yukun Sun +2

Mobile edge computing mitigates the shortcomings of cloud computing caused by unpredictable wide-area network latency and serves as a critical enabling technology for the Industria…

cs.NI2025

Contention-Aware Microservice Deployment in Collaborative Mobile Edge Networks

Xinlei Ge, Yang Li, Xing Zhang +2

As an emerging computing paradigm, mobile edge computing (MEC) provides processing capabilities at the network edge, aiming to reduce latency and improve user experience. Meanwhile…

cs.GT2024

Incentive-Driven Task Offloading and Collaborative Computing in Device-Assisted MEC Networks

Yang Li, Xing Zhang, Bo Lei +4

Edge computing (EC), positioned near end devices, holds significant potential for delivering low-latency, energy-efficient, and secure services. This makes it a crucial component o…

cs.NI2024

Priority and Stackelberg Game-Based Incentive Task Allocation for Device-Assisted MEC Networks

Yang Li, Xing Zhang, Bo Lei +2

Mobile edge computing (MEC) is a promising computing paradigm that offers users proximity and instant computing services for various applications, and it has become an essential co…

cs.IT2024

Computation Rate Maximization for Wireless Powered Edge Computing With Multi-User Cooperation

Yang Li, Xing Zhang, Bo Lei +4

The combination of mobile edge computing (MEC) and radio frequency-based wireless power transfer (WPT) presents a promising technique for providing sustainable energy supply and co…

cs.DC2023

Joint Task Partitioning and Parallel Scheduling in Device-Assisted Mobile Edge Networks

Yang Li, Xinlei Ge, Bo Lei +2

With the development of the Internet of Things (IoT), certain IoT devices have the capability to not only accomplish their own tasks but also simultaneously assist other resource-c…