Jia Hu

Jia Hu

University of Exeter

H-index: 28

Europe-United Kingdom

About Jia Hu

Jia Hu, With an exceptional h-index of 28 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Exeter, specializes in the field of edge-cloud computing, resource optimization, smart city, network security, applied machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Agile Cache Replacement in Edge Computing via Offline-Online Deep Reinforcement Learning

Joint Charging Scheduling and Computation Offloading in EV-Assisted Edge Computing: A Safe DRL Approach

Lightweight blockchain-empowered secure and efficient federated edge learning

Blockchain-Based Data Access Security Solutions for Medical Wearables

Deep reinforcement learning for next-generation IoT networks

UAV Enabled Sustainable IoT Network with OTPDRL

Communication-efficient federated learning on non-IID data using two-step knowledge distillation

Faster Federated Learning with Decaying Number of Local SGD Steps

Jia Hu Information

University

Position

___

Citations(all)

3400

Citations(since 2020)

2939

Cited By

875

hIndex(all)

28

hIndex(since 2020)

27

i10Index(all)

64

i10Index(since 2020)

48

Email

University Profile Page

Google Scholar

Jia Hu Skills & Research Interests

edge-cloud computing

resource optimization

smart city

network security

applied machine learning

Top articles of Jia Hu

Agile Cache Replacement in Edge Computing via Offline-Online Deep Reinforcement Learning

IEEE Transactions on Parallel & Distributed Systems

2024/2/1

Joint Charging Scheduling and Computation Offloading in EV-Assisted Edge Computing: A Safe DRL Approach

IEEE Transactions on Mobile Computing

2024/1/19

Lightweight blockchain-empowered secure and efficient federated edge learning

IEEE Transactions on Computers

2023/7/10

Blockchain-Based Data Access Security Solutions for Medical Wearables

IEEE/ACM Transactions on Computational Biology and Bioinformatics

2023/6/1

Hui Lin
Hui Lin

H-Index: 4

Jia Hu
Jia Hu

H-Index: 11

Deep reinforcement learning for next-generation IoT networks

2023/6

UAV Enabled Sustainable IoT Network with OTPDRL

2023/5/24

Communication-efficient federated learning on non-IID data using two-step knowledge distillation

IEEE Internet of Things Journal

2023/5/18

Faster Federated Learning with Decaying Number of Local SGD Steps

IEEE Transactions on Parallel and Distributed Systems

2023/5/17

Jia Hu
Jia Hu

H-Index: 11

Geyong Min
Geyong Min

H-Index: 43

Federated ensemble model-based reinforcement learning in edge computing

IEEE Transactions on Parallel and Distributed Systems

2023/4/5

Federated Multimodal Learning for Privacy-Preserving Driver Break Recommendations in Consumer Electronics

IEEE Transactions on Consumer Electronics

2023/12/5

Intelligent Cooperative Caching at Mobile Edge based on Offline Deep Reinforcement Learning

ACM Transactions on Sensor Networks

2023/9/9

Digital twin-driven intelligent task offloading for collaborative mobile edge computing

IEEE Journal on Selected Areas in Communications

2023/8/30

Performance Analysis of IEEE 802.11 p for the Internet of Vehicles with Bursty Packet Errors

2022/12/9

Ning Wang
Ning Wang

H-Index: 12

Jia Hu
Jia Hu

H-Index: 11

AI-empowered trajectory anomaly detection for intelligent transportation systems: A hierarchical federated learning approach

IEEE Transactions on Intelligent Transportation Systems

2022/10/25

Accelerating federated learning with a global biased optimiser

IEEE Transactions on Computers

2022/1/1

An intelligent and privacy-enhanced data sharing strategy for blockchain-empowered Internet of Things

Digital Communications and Networks

2022/10/1

Hui Lin
Hui Lin

H-Index: 4

Jia Hu
Jia Hu

H-Index: 11

Federated learning-empowered disease diagnosis mechanism in the internet of medical things: From the privacy-preservation perspective

IEEE Transactions on Industrial Informatics

2022/9/30

Spatiotemporal prediction based intelligent task allocation for secure spatial crowdsourcing in industrial IoT

IEEE Transactions on Network Science and Engineering

2022/8/16

Online service migration in mobile edge with incomplete system information: A deep recurrent actor-critic learning approach

IEEE Transactions on Mobile Computing

2022/8/9

Spatial-temporal cellular traffic prediction for 5G and beyond: A graph neural networks-based approach

IEEE Transactions on Industrial Informatics

2022/6/20

See List of Professors in Jia Hu University(University of Exeter)