Rong Yu

About Rong Yu

Rong Yu, With an exceptional h-index of 48 and a recent h-index of 39 (since 2020), a distinguished researcher at Guangdong University of Technology, specializes in the field of Edge Computing, Internet of Things, Deep Learning, Blockchain.

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

BLOCKCHAIN SHARDING METHOD COMBINING SPECTRAL CLUSTERING AND REPUTATION VALUE MECHANISM

Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices

Modeling vehicle U-turning behavior near intersections: A deep learning approach based on TCN and multi-head attention

Exploiting blockchain for dependable services in zero-trust vehicular networks

Anycostfl: Efficient on-demand federated learning over heterogeneous edge devices

DAFL: Delay Efficient Federated Learning over Mobile Devices via Device-to-Device Transmissions

Split learning with differential privacy for integrated terrestrial and non-terrestrial networks

Resting Your Car for Cash: Incentive Mechanism Based TNC Car Scheduling for Carbon Neutrality

Rong Yu Information

University

Position

___

Citations(all)

10708

Citations(since 2020)

7320

Cited By

6391

hIndex(all)

48

hIndex(since 2020)

39

i10Index(all)

98

i10Index(since 2020)

75

Email

University Profile Page

Guangdong University of Technology

Google Scholar

View Google Scholar Profile

Rong Yu Skills & Research Interests

Edge Computing

Internet of Things

Deep Learning

Blockchain

Top articles of Rong Yu

Title

Journal

Author(s)

Publication Date

BLOCKCHAIN SHARDING METHOD COMBINING SPECTRAL CLUSTERING AND REPUTATION VALUE MECHANISM

2024/2/29

Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices

IEEE Transactions on Mobile Computing

Peichun Li

Hanwen Zhang

Yuan Wu

Liping Qian

Rong Yu

...

2024/2/29

Modeling vehicle U-turning behavior near intersections: A deep learning approach based on TCN and multi-head attention

Expert Systems with Applications

Weiliang Zeng

Qinyong Lin

Boyang Zhu

Chujun Peng

Rong Yu

2024/9/1

Exploiting blockchain for dependable services in zero-trust vehicular networks

Frontiers of Computer Science

Min Hao

Beihai Tan

Siming Wang

Rong Yu

Ryan Wen Liu

...

2024/4

Anycostfl: Efficient on-demand federated learning over heterogeneous edge devices

Peichun Li

Guoliang Cheng

Xumin Huang

Jiawen Kang

Rong Yu

...

2023/5/17

DAFL: Delay Efficient Federated Learning over Mobile Devices via Device-to-Device Transmissions

Huai-an Su

Pavana Prakash

Rui Chen

Yanmin Gong

Rong Yu

...

2023/12/4

Split learning with differential privacy for integrated terrestrial and non-terrestrial networks

IEEE Wireless Communications

Maoqiang Wu

Guoliang Cheng

Peichun Li

Rong Yu

Yuan Wu

...

2023/4/7

Resting Your Car for Cash: Incentive Mechanism Based TNC Car Scheduling for Carbon Neutrality

Maoqiang Wu

Guoliang Cheng

Pavana Prakash

Rong Yu

Xiaoming Xiong

...

2023/9/24

Digital-twin-assisted task assignment in multi-UAV systems: A deep reinforcement learning approach

IEEE Internet of Things Journal

Xin Tang

Xiaohuan Li

Rong Yu

Yuan Wu

Jin Ye

...

2023/3/31

Federated Split Learning with Data and Label Privacy Preservation in Vehicular Networks

IEEE Transactions on Vehicular Technology

Maoqiang Wu

Guoliang Cheng

Dongdong Ye

Jiawen Kang

Rong Yu

...

2023/8/24

iScene: An interpretable framework with hierarchical edge services for scene risk identification in 6G internet of vehicles

IET Communications

Wuchang Zhong

Siming Wang

Rong Yu

2023/12/19

Snowball: Energy efficient and accurate federated learning with coarse-to-fine compression over heterogeneous wireless edge devices

IEEE Transactions on Wireless Communications

Peichun Li

Guoliang Cheng

Xumin Huang

Jiawen Kang

Rong Yu

...

2023/2/23

Enhancing Digital Twin Model for Connected Vehicles by Powertrain and Longitudinal Dynamics

Xiaoxu Wang

Rong Yu

Mingxing Ye

Min Hao

2023/8/10

MCMSys: Multimodal Data Closed-Loop Management System for Autonomous Driving

He Li

Zhaogao Zhou

Pin-Tong Chen

Jinjie Yan

Rong Yu

...

2023/12/17

Unpredictability of digital twin for connected vehicles

China Communications

Xiaoxu Wang

Zeyin Huang

Songmiao Zheng

Rong Yu

Miao Pan

2023/2

Fast: Fidelity-adjustable semantic transmission over heterogeneous wireless networks

Peichun Li

Guoliang Cheng

Jiawen Kang

Rong Yu

Liping Qian

...

2023/5/28

Pre-trained Large Model Fine-tuning with Case-based Reasoning Framework for Transportation Risk Scene Prevention

Wuchang Zhong

Jinglin Huang

Rong Yu

2023/12/17

Designing a double-way spread permutation framework utilizing chaos and S-box for symmetric image encryption

Optics Communications

Linqing Huang

Weijun Li

Xiaoming Xiong

Rong Yu

Qianxue Wang

...

2022/8/15

Fedrelay: Federated relay learning for 6g mobile edge intelligence

IEEE Transactions on Vehicular Technology

Peichun Li

Yupei Zhong

Chaorui Zhang

Yuan Wu

Rong Yu

2022/11/28

Privacy-preserving incentive mechanism for platoon assisted vehicular edge computing with deep reinforcement learning

China Communications

Xumin Huang

Yupei Zhong

Yuan Wu

Peichun Li

Rong Yu

2022/7/22

See List of Professors in Rong Yu University(Guangdong University of Technology)