Kai Jiang

Orcid: 0000-0002-5706-7834

Affiliations:

Wuhan University, School of Cyber Science and Engineering, China

According to our database¹, Kai Jiang authored at least 20 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Reputation-Based Sensing Data Collection in Vehicular Crowdsensing: A Hybrid Incentive Approach.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., June, 2026

A Reinforcement Learning Method for UAV Delivery Scheduling Under Dynamic Pricing.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2026

2025

When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives.

[BibT_eX]

[DOI]

IEEE Commun. Surv. Tutorials, April, 2025

Reinforcement Learning for Digital Twin Empowered Ride-Sharing System Optimization.

[BibT_eX]

[DOI]

IEEE Netw., March, 2025

2024

Asynchronous Federated and Reinforcement Learning for Mobility-Aware Edge Caching in IoV.

[BibT_eX]

[DOI]

IEEE Internet Things J., May, 2024

Adaptive Dynamic Programming for Multi-Driver Order Dispatching at Large-Scale.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., April, 2024

Poster: Stackelberg Game-based Model Partition and Resource Allocation in Split Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Cost-Aware Federated Learning in Mobile Edge Networks.

[BibT_eX]

[DOI]

Proceedings of the 3rd Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, 2024

2023

Distributed Deep Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet-of-Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., December, 2023

MP-VRCR: A Multi-Dimension and Priority-Based Vehicle-Road Collaborative Routing Protocol.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., August, 2023

STALB: A Spatio-Temporal Domain Autonomous Load Balancing Routing Protocol.

[BibT_eX]

[DOI]

Chakkaphong Suthaputchakun

Yuan Zhuang

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

A3C-Based and Dependency-Aware Computation Offloading and Service Caching in Digital Twin Edge Networks.

[BibT_eX]

[DOI]

IEEE Access, 2023

2022

Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Energy-Efficient Dependency-Aware Task Offloading in Mobile Edge Computing: A Digital Twin Empowered Approach.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Smart City and Informatization, 2022

SAC-based Computation Offloading and Resource Allocation in Vehicular Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2022, 2022

DDPG-based Computation Offloading and Service Caching in Mobile Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2022, 2022

2021

Intelligence-Empowered Mobile Edge Computing: Framework, Issues, Implementation, and Outlook.

[BibT_eX]

[DOI]

IEEE Netw., 2021

Mobile Edge Computing for Ultra-Reliable and Low-Latency Communications.

[BibT_eX]

[DOI]

IEEE Commun. Stand. Mag., 2021

2020

Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet of Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

A Q-learning based Method for Energy-Efficient Computation Offloading in Mobile Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Kai Jiang

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Bibliography

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