Hui Li

Orcid: 0000-0003-0222-5150

Affiliations:
  • Chongqing University, School of Big Data and Software Engineering, China
  • Northeast Agricultural University, Harbin, China (2019)


According to our database1, Hui Li authored at least 13 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Energy-Efficient Adaptive Batching for Federated Learning via Gradient Noise Scale Measurement in Mobile Edge Computing Networks.
IEEE Trans. Mob. Comput., April, 2026

Adaptive Model Partitioning and Pruning for Collaborative DNN Inference in Mobile Edge-Cloud Computing Networks.
IEEE Trans. Mob. Comput., March, 2026

Edge-Enhanced Intelligence: A Comprehensive Survey of Large Language Models and Edge-Cloud Computing Synergy.
IEEE Commun. Surv. Tutorials, 2026

2025
Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks.
IEEE Trans. Mob. Comput., July, 2025

2024
Distributed DNN Inference With Fine-Grained Model Partitioning in Mobile Edge Computing Networks.
IEEE Trans. Mob. Comput., October, 2024

Transfer Learning for Real-Time Surface Defect Detection With Multi-Access Edge-Cloud Computing Networks.
IEEE Trans. Netw. Serv. Manag., February, 2024

Intelligent Content Caching and User Association in Mobile Edge Computing Networks for Smart Cities.
IEEE Trans. Netw. Sci. Eng., 2024

Collaborative DNNs Inference with Joint Model Partition and Compression in Mobile Edge-Cloud Computing Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Energy-Efficient Dynamic Asynchronous Federated Learning in Mobile Edge Computing Networks.
Proceedings of the IEEE International Conference on Communications, 2023

2021
Energy-Time Efficient Task Offloading for Mobile Edge Computing in Hot-Spot Scenarios.
Proceedings of the ICC 2021, 2021

2020
Task Offloading for End-Edge-Cloud Orchestrated Computing in Mobile Networks.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Mobility-Aware Content Caching and User Association for Ultra-Dense Mobile Edge Computing Networks.
Proceedings of the IEEE Global Communications Conference, 2020


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