Jie Feng

Orcid: 0000-0002-5474-3286

Affiliations:

Xidian University, School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xi'an, China (PhD 2020)

According to our database¹, Jie Feng authored at least 44 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Secure and Flexible Data Sharing With Dual Privacy Protection in Vehicular Digital Twin Networks.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., September, 2024

Toward Robust and Generalizable Federated Graph Neural Networks for Decentralized Spatial-Temporal Data Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., June, 2024

Federated Generative Artificial Intelligence Empowered Traffic Flow Prediction Under Vehicular Computing Power Networks.

[BibT_eX]

[DOI]

IEEE Internet Things Mag., May, 2024

Reputation Management for Consensus Mechanism in Vehicular Edge Metaverse.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., April, 2024

Blockchain-Based Distributed Collaborative Computing for Vehicular Digital Twin Network.

[BibT_eX]

[DOI]

IEEE Netw., March, 2024

Secure NOMA-Assisted Multi-User mmWave Vehicular Communications Using Artificial Noise.

[BibT_eX]

[DOI]

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

An Efficient Lightweight Satellite Image Classification Model with Improved MobileNetV3.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

Multi-Aspect Edge Device Association Based on Time-Series Dynamic Interaction Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

Quality-aware Client Selection and Resource Optimization for Federated Learning in Computing Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

2023

Joint Optimization of Security Strength and Resource Allocation for Computation Offloading in Vehicular Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., December, 2023

Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., December, 2023

QoE Fairness Resource Allocation in Digital Twin-Enabled Wireless Virtual Reality Systems.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., November, 2023

Peer-to-peer privacy-preserving vertical federated learning without trusted third-party coordinator.

[BibT_eX]

[DOI]

Peer Peer Netw. Appl., September, 2023

Resource Optimization of MAB-Based Reputation Management for Data Trading in Vehicular Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., August, 2023

Multilevel Federated Learning-Based Intelligent Traffic Flow Forecasting for Transportation Network Management.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., June, 2023

Blockchain-escorted distributed deep learning with collaborative model aggregation towards 6G networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., April, 2023

Blockage-Based Cooperative Jamming for Secure Terahertz Transmissions in Indoor Networks.

[BibT_eX]

[DOI]

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

A Reinforcement Learning-based DAG Tasks Scheduling in Edge-Cloud Collaboration Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

Vehicle Selection and Resource Optimization for Federated Learning in Vehicular Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Heterogeneous Computation and Resource Allocation for Wireless Powered Federated Edge Learning Systems.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2022

Blockchain-Enabled Efficient Dynamic Cross-Domain Deduplication in Edge Computing.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Channel Estimation Algorithm for IM/DD-OFDM/OQAM-PON System in Industrial Internet Based on Compressed Sensing.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021

Intelligent Reflecting Surface Enhanced D2D Cooperative Computing.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2021

Cost-Effective Optimization for Blockchain-Enabled NOMA-Based MEC Networks.

[BibT_eX]

[DOI]

Secur. Commun. Networks, 2021

Blockchain-Enabled Secure Data Sharing Scheme in Mobile-Edge Computing: An Asynchronous Advantage Actor-Critic Learning Approach.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Service Characteristics-Oriented Joint Optimization of Radio and Computing Resource Allocation in Mobile-Edge Computing.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Task Scheduling and Resource Management in MEC-Enabled Computing Networks.

[BibT_eX]

[DOI]

Proceedings of the Mobile Networks and Management - 11th EAI International Conference, 2021

A Scalable and Secure Consensus Scheme Based on Proof of Stake in Blockchain.

[BibT_eX]

[DOI]

Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

2020

Joint Optimization of Radio and Computational Resources Allocation in Blockchain-Enabled Mobile Edge Computing Systems.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2020

Dynamic Network Slicing and Resource Allocation in Mobile Edge Computing Systems.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

Deep Reinforcement Learning for Blockchain-Enabled Mobile Edge Computing Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom Workshops, 2020

Energy-efficient User Clustering and Resource Management for NOMA Based MEC Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom Workshops, 2020

2019

Computation Offloading and Resource Allocation for Wireless Powered Mobile Edge Computing With Latency Constraint.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2019

Enabling Low-Latency Applications in LTE-A Based Mixed Fog/Cloud Computing Systems.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2019

Computation Offloading and Resource Allocation in Vehicular Networks Based on Dual-Side Cost Minimization.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2019

Low-Complexity and Hardware-Friendly H.265/HEVC Encoder for Vehicular Ad-Hoc Networks.

[BibT_eX]

[DOI]

Sensors, 2019

2018

Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2018

Computation Offloading and Resource Allocation in D2D-Enabled Mobile Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Energy-Efficient Resource Allocation in Fog Computing Supported IoT with Min-Max Fairness Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Economical Revenue Maximization in Cache Enhanced Mobile Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017

Identity Based Generalized Signcryption Scheme in the Standard Model.

[BibT_eX]

[DOI]

Xiaoqin Shen

Yang Ming

Jie Feng

Entropy, 2017

2016

User-Oriented Load Balance in Software-Defined Campus WLANs.

[BibT_eX]

[DOI]

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Jie Feng

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...