Kai Jiang

Orcid: 0000-0002-5706-7834

According to our database1, Kai Jiang authored at least 17 papers between 2020 and 2025.

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Bibliography

2025
When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives.
IEEE Commun. Surv. Tutorials, April, 2025

Reinforcement Learning for Digital Twin Empowered Ride-Sharing System Optimization.
IEEE Netw., March, 2025

2024
Asynchronous Federated and Reinforcement Learning for Mobility-Aware Edge Caching in IoV.
IEEE Internet Things J., May, 2024

Adaptive Dynamic Programming for Multi-Driver Order Dispatching at Large-Scale.
IEEE Trans. Cogn. Commun. Netw., April, 2024

Poster: Stackelberg Game-based Model Partition and Resource Allocation in Split Federated Learning.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

2023
Distributed Deep Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet-of-Vehicles.
IEEE Trans. Wirel. Commun., December, 2023

MP-VRCR: A Multi-Dimension and Priority-Based Vehicle-Road Collaborative Routing Protocol.
IEEE Trans. Veh. Technol., August, 2023

STALB: A Spatio-Temporal Domain Autonomous Load Balancing Routing Protocol.
IEEE Trans. Netw. Serv. Manag., March, 2023

A3C-Based and Dependency-Aware Computation Offloading and Service Caching in Digital Twin Edge Networks.
IEEE Access, 2023

2022
Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing.
IEEE Internet Things J., 2022

Energy-Efficient Dependency-Aware Task Offloading in Mobile Edge Computing: A Digital Twin Empowered Approach.
Proceedings of the 10th IEEE International Conference on Smart City and Informatization, 2022

SAC-based Computation Offloading and Resource Allocation in Vehicular Edge Computing.
Proceedings of the IEEE INFOCOM 2022, 2022

DDPG-based Computation Offloading and Service Caching in Mobile Edge Computing.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
Intelligence-Empowered Mobile Edge Computing: Framework, Issues, Implementation, and Outlook.
IEEE Netw., 2021

Mobile Edge Computing for Ultra-Reliable and Low-Latency Communications.
IEEE Commun. Stand. Mag., 2021

2020
Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet of Vehicles.
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.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020


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