Yu, F. Richard

A survey of machine learning techniques applied to software defined networking (sdn): research issues and challenges

Xie, J., Yu, F. R., Huang, T., Xie, R., Liu, J., Wang, C., & Liu, Y. (2019) · IEEE Communications Surveys & Tutorials

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 700

Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues and Challenges

Yang, R., Yu, F. R., Si, P., Yang, Z., & Zhang, Y. (2019) · IEEE Communications Surveys & Tutorials

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 688

A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs)

Sun, X., Yu, F. R., & Zhang, P. (2022) · IEEE Transactions on Intelligent Transportation Systems

Vehicular Ad Hoc Networks (VANETs)Network Security and Intrusion Detection

Cited by 370

Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach

He, Y., Yu, F. R., Zhao, N., Leung, V. C. M., & Yin, H. (2017) · IEEE Communications Magazine

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 358

UAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells

Cheng, F., Zhang, S., Li, Z., Chen, Y., Zhao, N., Yu, F. R., & Leung, V. C. M. (2018) · IEEE Transactions on Vehicular Technology

UAV Applications and OptimizationAdvanced Wireless Communication Technologies

Cited by 350

Distributed resource allocation in blockchain-based video streaming systems with mobile edge computing

Liu, M., Yu, F. R., Teng, Y., Leung, V. C. M., & Song, M. (2019) · IEEE Transactions on Wireless Communications

IoT and Edge/Fog ComputingBlockchain Technology Applications and Security

Cited by 233

Security and privacy of smart cities: a survey, research issues and challenges

Sookhak, M., Tang, H., He, Y., & Yu, F. R. (2019) · IEEE Communications Surveys & Tutorials

Smart Cities and TechnologiesIoT and Edge/Fog Computing

Cited by 212

A Survey of Driving Safety With Sensing, Vehicular Communications, and Artificial Intelligence-Based Collision Avoidance

Fu, Y., Li, C., Yu, F. R., Luan, T. H., & Zhang, Y. (2022) · IEEE Transactions on Intelligent Transportation Systems

Autonomous Vehicle Technology and SafetyTraffic and Road Safety

Cited by 169

Over-the-Air Computation for IoT Networks: Computing Multiple Functions With Antenna Arrays

Chen, L., Zhao, N., Chen, Y., Yu, F. R., & Wei, G. (2018) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingDistributed Sensor Networks and Detection Algorithms

Cited by 136

Blockchain-based distributed software-defined vehicular networks: a dueling deep q-learning approach

Zhang, D., Yu, F. R., & Yang, R. (2019) · IEEE Transactions on Cognitive Communications and Networking

Vehicular Ad Hoc Networks (VANETs)Blockchain Technology Applications and Security

Cited by 96

An Incentive Mechanism of Incorporating Supervision Game for Federated Learning in Autonomous Driving

Fu, Y., Li, C., Yu, F. R., Luan, T. H., & Zhao, P. (2023) · IEEE Transactions on Intelligent Transportation Systems

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 96

Toward Communication-Efficient Federated Learning in the Internet of Things With Edge Computing

Sun, H., Li, S., Yu, F. R., Qi, Q., Wang, J., & Liao, J. (2020) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 95

Resource Allocation of Video Streaming Over Vehicular Networks: A Survey, Some Research Issues and Challenges

Jiang, X., Yu, F. R., Song, T., & Leung, V. C. M. (2022) · IEEE Transactions on Intelligent Transportation Systems

Vehicular Ad Hoc Networks (VANETs)IoT and Edge/Fog Computing

Cited by 88

Optimizing Virtual Machine placement in IaaS data centers: Taxonomy, review and open issues

Talebian, H., Gani, A., Sookhak, M., Abdelatif, A. A., Yousafzai, A., Vasilakos, A. V., & Yu, F. R. (2020) · Cluster Computing

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 72

Blockchain-Based Multi-Access Edge Computing for Future Vehicular Networks: A Deep Compressed Neural Network Approach

Zhang, D., Yu, F. R., & Yang, R. (2022) · IEEE Transactions on Intelligent Transportation Systems

Vehicular Ad Hoc Networks (VANETs)Blockchain Technology Applications and Security

Cited by 45

A Survey on Secure Computation Based on Homomorphic Encryption in Vehicular Ad Hoc Networks

Sun, X., Yu, F. R., Zhang, P., Xie, W., & Peng, X. (2020) · Sensors

Cryptography and Data SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 23

Computation Over MAC: Achievable Function Rate Maximization in Wireless Networks

Chen, L., Zhao, N., Chen, Y., Qin, X., & Yu, F. R. (2020) · IEEE Transactions on Communications

Distributed Sensor Networks and Detection AlgorithmsCooperative Communication and Network Coding

Cited by 17

Deepfake Detection with Data Privacy Protection

Wu, M., Wang, F., Wu, X., Yu, F., Wang, B., & Song, Z. (2022) · 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)

Digital Media Forensic DetectionPrivacy-Preserving Technologies in Data

Cited by 0