Qingwei Nie

Orcid: 0000-0003-3274-543X

According to our database1, Qingwei Nie authored at least 14 papers between 2021 and 2025.

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

Timeline

2021
2022
2023
2024
2025
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1
2
3
4
5
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3
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3

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
A blockchain-based LLM-driven energy-efficient scheduling system towards distributed multi-agent manufacturing scenario of new energy vehicles within the circular economy.
Comput. Ind. Eng., 2025

2024
Probing an Easy-to-Deploy Multi-Agent Manufacturing System Based on Agent Computing Node: Architecture, Implementation, and Case Study.
J. Comput. Inf. Sci. Eng., April, 2024

An augmented reality-assisted interaction approach using deep reinforcement learning and cloud-edge orchestration for user-friendly robot teaching.
Robotics Comput. Integr. Manuf., February, 2024

Probing an LSTM-PPO-Based reinforcement learning algorithm to solve dynamic job shop scheduling problem.
Comput. Ind. Eng., 2024

Probing a point cloud based expeditious approach with deep learning for constructing digital twin models in shopfloor.
Adv. Eng. Informatics, 2024

2023
A mixed perception-based human-robot collaborative maintenance approach driven by augmented reality and online deep reinforcement learning.
Robotics Comput. Integr. Manuf., October, 2023

A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control.
Robotics Comput. Integr. Manuf., August, 2023

A transfer learning CNN-LSTM network-based production progress prediction approach in IIoT-enabled manufacturing.
Int. J. Prod. Res., 2023

2022
An Augmented Reality-Assisted Prognostics and Health Management System Based on Deep Learning for IoT-Enabled Manufacturing.
Sensors, 2022

Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing.
Robotics Comput. Integr. Manuf., 2022

A multi-agent and internet of things framework of digital twin for optimized manufacturing control.
Int. J. Comput. Integr. Manuf., 2022

2021
A flexible configuration method of distributed manufacturing resources in the context of social manufacturing.
Comput. Ind., 2021

Research on Workers Integration in Smart Factories With Multi-Agent Control System.
IEEE Access, 2021

A Novel Predictive Maintenance Method Based on Deep Adversarial Learning in the Intelligent Manufacturing System.
IEEE Access, 2021


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