Miaojiang Chen

Orcid: 0009-0007-2863-6202

According to our database1, Miaojiang Chen authored at least 19 papers between 2017 and 2026.

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Bibliography

2026
Learning-based data fusion joint optimization of energy cost and resource allocation in modern energy systems.
Inf. Fusion, 2026

2025
ANNS: An Intelligent Advanced Non-Convex Non-Smooth Scheme for IRS-Aided Next Generation Mobile Communication Networks.
IEEE Trans. Mob. Comput., September, 2025

Self-Attention Policy Optimization for Task Offloading and Resource Allocation in Low-Carbon Agricultural Consumer Electronic Devices.
IEEE Trans. Consumer Electron., May, 2025

Holographic Counterpart Computation Offloading via Reconfigurable Intelligent Surfaces in VEC Consumer Electronics.
IEEE Trans. Consumer Electron., May, 2025

FT-MoE: Sustainable-learning Mixture of Experts Model for Fault-Tolerant Computing with Multiple Tasks.
CoRR, April, 2025

MVPOA: A Learning-Based Vehicle Proposal Offloading for Cloud-Edge-Vehicle Networks.
IEEE Internet Things J., March, 2025

GraphEdge: Dynamic graph partition and task scheduling for GNNs computing in edge network.
Inf. Fusion, 2025

2024
SGPL: An Intelligent Game-Based Secure Collaborative Communication Scheme for Metaverse Over 5G and Beyond Networks.
IEEE J. Sel. Areas Commun., March, 2024

2023
A novel deep policy gradient action quantization for trusted collaborative computation in intelligent vehicle networks.
Expert Syst. Appl., July, 2023

A DRL-Driven Intelligent Joint Optimization Strategy for Computation Offloading and Resource Allocation in Ubiquitous Edge IoT Systems.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

2022
RDRL: A Recurrent Deep Reinforcement Learning Scheme for Dynamic Spectrum Access in Reconfigurable Wireless Networks.
IEEE Trans. Netw. Sci. Eng., 2022

A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems.
Knowl. Based Syst., 2022

A novel differential dynamic gradient descent optimization algorithm for resource allocation and offloading in the COMEC system.
Int. J. Intell. Syst., 2022

GPDS: A multi-agent deep reinforcement learning game for anti-jamming secure computing in MEC network.
Expert Syst. Appl., 2022

2021
Deep reinforcement learning for computation offloading in mobile edge computing environment.
Comput. Commun., 2021

Edge intelligence computing for mobile augmented reality with deep reinforcement learning approach.
Comput. Networks, 2021

2020
Intelligent resource allocation management for vehicles network: An A3C learning approach.
Comput. Commun., 2020

2019
Research on the 2-Good-Neighbor Conditional Diagnosability of Augmented Cubes.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2017
基于比较诊断模型的超立方网络诊断算法 (Hypercube Network Diagnosis Algorithm under Comparison Model).
计算机科学, 2017


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