Junhui Jiang

Orcid: 0000-0002-7667-4760

Affiliations:
  • Harbin Engineering University, College of Computer Science and Technology, Heilongjiang, China
  • Hanyang University, Department of electronic engineering, Korea (PhD 2022)


According to our database1, Junhui Jiang authored at least 12 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
A Novel YJQR-LSTM Model for Nonparametric Probabilistic Sustainable Agriculture Wind Power Forecasting Based on Intelligent IoT.
IEEE Internet Things J., 2025

A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN).
Entropy, 2025

FLoV2T: A fine-grained malicious traffic classification method based on federated learning for AIoT.
Comput. Commun., 2025

2023
Demand Response Flexibility Potential Trading in Smart Grids: A Multileader Multifollower Stackelberg Game Approach.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023

Assessing the traffic scheduling method for time-sensitive networking (TSN) by practical implementation.
J. Ind. Inf. Integr., 2023

2022
Deep Reinforcement Learning-Based Demand Response for Smart Facilities Energy Management.
IEEE Trans. Ind. Electron., 2022

Joint Traffic Routing and Scheduling Algorithm Eliminating the Nondeterministic Interruption for TSN Networks Used in IIoT.
IEEE Internet Things J., 2022

2021
Assessing the Feasibility of Game-Theory-Based Demand Response Management by Practical Implementation.
IEEE Access, 2021

2020
Practical Implementation of an OPC UA TSN Communication Architecture for a Manufacturing System.
IEEE Access, 2020

2019
Demand Response Management for Industrial Facilities: A Deep Reinforcement Learning Approach.
IEEE Access, 2019

Incentivizing Strategy for Demand Response Aggregator Considering Market Entry Criterion: A Game Theoretical Approach.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

A Simulation Model for Time-sensitive Networking (TSN) with Experimental Validation.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019


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