activity
20222026
most citedMobile Edge Computing for the Metaverse

5 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Federated Bilevel Performative Prediction

Liangxin Qian, Chang Liu, Xuanyu Cao +2

Federated bilevel optimization is widely used for nested learning problems across distributed clients, such as federated hyperparameter tuning and meta-learning under privacy and c…

cs.DC2024

Resource Allocation for Stable LLM Training in Mobile Edge Computing

Chang Liu, Jun Zhao

As mobile devices increasingly become focal points for advanced applications, edge computing presents a viable solution to their inherent computational limitations, particularly in…

cs.DC2024

Resource Allocation in Large Language Model Integrated 6G Vehicular Networks

Chang Liu, Jun Zhao

In the upcoming 6G era, vehicular networks are shifting from simple Vehicle-to-Vehicle (V2V) communication to the more complex Vehicle-to-Everything (V2X) connectivity. At the fore…

cs.ET2024

User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse over 6G Wireless Communications

Liangxin Qian, Chang Liu, Jun Zhao

The convergence of blockchain, Metaverse, and non-fungible tokens (NFTs) brings transformative digital opportunities alongside challenges like privacy and resource management. Addr…

cs.CC2023

Transforms for Multiplicative and Fractional Programming with Broad Applications in Edge Computing and Communication Networks

Yitong Wang, Chang Liu, Jun Zhao

Multiplicative Programming (MP) pertains to a spectrum of optimization problems that involve product term(s). As computational paradigms of communication systems continue to evolve…

cs.DC2023

Optimization for the Metaverse over Mobile Edge Computing with Play to Earn

Chang Liu, Terence Jie Chua, Jun Zhao

The concept of the Metaverse has garnered growing interest from both academic and industry circles. The decentralization of both the integrity and security of digital items has spu…

cs.AI2023

Offloading and Quality Control for AI Generated Content Services in 6G Mobile Edge Computing Networks

Yitong Wang, Chang Liu, Jun Zhao

AI-Generated Content (AIGC), as a novel manner of providing Metaverse services in the forthcoming Internet paradigm, can resolve the obstacles of immersion requirements. Concurrent…

cs.SI2022★ 5 cited

Mobile Edge Computing for the Metaverse

Chang Liu, Yitong Wang, Jun Zhao

The Metaverse has emerged as the next generation of the Internet. It aims to provide an immersive, persistent virtual space where people can live, learn, work and interact with eac…