Qingwei Nie

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Large language model-based multi-agent manufacturing system for intelligent shopfloors.
Adv. Eng. Informatics
Zhen Zhao, Dunbing Tang, Changchun Liu, Liping Wang, Zequn Zhang, Haihua Zhu, Kai Chen, Qingwei Nie, Yuchen Ji
2026 J jnl
Industrial knowledge-enhanced fault diagnosis method: Integrating LLM and knowledge graph for fault reasoning and maintenance recommendation in CNC machine tools.
Comput. Ind. Eng.
Qingwei Nie, Junsai Geng, Dunbing Tang, Changchun Liu
2025 J jnl
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.
Changchun Liu, Qingwei Nie
2025 J jnl
Enhancing machine tool predictive maintenance: A dual-model approach integrating improved deep autoencoders and graph attention network.
Comput. Ind. Eng.
Changchun Liu, Dunbing Tang, Haihua Zhu, Qixiang Cai, Zequn Zhang, Qingwei Nie
2025 J jnl
It is Not Easy Diffusing Green: The Impact of Mandatory Regulations on the Diffusion Breadth and Depth of Voluntary Environmental Standards.
IEEE Trans. Engineering Management
Liumiao Qin, Qinghua He, Ge Wang, Qingwei Nie, Jian Zuo
2024 J jnl
An augmented reality-assisted interaction approach using deep reinforcement learning and cloud-edge orchestration for user-friendly robot teaching.
Robotics Comput. Integr. Manuf.
Changchun Liu, Dunbing Tang, Haihua Zhu, Qingwei Nie, Wei Chen, Zhen Zhao
2024 J jnl
Probing a point cloud based expeditious approach with deep learning for constructing digital twin models in shopfloor.
Adv. Eng. Informatics
Zhen Zhao, Zequn Zhang, Qingwei Nie, Changchun Liu, Haihua Zhu, Kai Chen, Dunbing Tang
2024 J jnl
Probing an Easy-to-Deploy Multi-Agent Manufacturing System Based on Agent Computing Node: Architecture, Implementation, and Case Study.
J. Comput. Inf. Sci. Eng.
Liping Wang, Qingwei Nie, Zequn Zhang, Dunbing Tang, Changchun Liu
2024 J jnl
Probing an LSTM-PPO-Based reinforcement learning algorithm to solve dynamic job shop scheduling problem.
Comput. Ind. Eng.
Wei Chen, Zequn Zhang, Dunbing Tang, Changchun Liu, Yong Gui, Qingwei Nie, Zhen Zhao
2023 J jnl
A mixed perception-based human-robot collaborative maintenance approach driven by augmented reality and online deep reinforcement learning.
Robotics Comput. Integr. Manuf.
Changchun Liu, Zequn Zhang, Dunbing Tang, Qingwei Nie, Linqi Zhang, Jiaye Song
2023 J jnl
A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control.
Robotics Comput. Integr. Manuf.
Qingwei Nie, Dunbing Tang, Changchun Liu, Liping Wang, Jiaye Song
2023 J jnl
A transfer learning CNN-LSTM network-based production progress prediction approach in IIoT-enabled manufacturing.
Int. J. Prod. Res.
Changchun Liu, Haihua Zhu, Dunbing Tang, Qingwei Nie, Shipei Li, Yi Zhang, Xuan Liu
2022 J jnl
A multi-agent and internet of things framework of digital twin for optimized manufacturing control.
Int. J. Comput. Integr. Manuf.
Qingwei Nie, Dunbing Tang, Haihua Zhu, Hongwei Sun
2022 J jnl
An Augmented Reality-Assisted Prognostics and Health Management System Based on Deep Learning for IoT-Enabled Manufacturing.
Sensors
Liping Wang, Dunbing Tang, Changchun Liu, Qingwei Nie, Zhen Wang, Linqi Zhang
2022 J jnl
Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing.
Robotics Comput. Integr. Manuf.
Changchun Liu, Haihua Zhu, Dunbing Tang, Qingwei Nie, Tong Zhou, Liping Wang, Yejia Song
2021 J jnl
A Novel Predictive Maintenance Method Based on Deep Adversarial Learning in the Intelligent Manufacturing System.
IEEE Access
Changchun Liu, Dunbing Tang, Haihua Zhu, Qingwei Nie
2021 J jnl
A flexible configuration method of distributed manufacturing resources in the context of social manufacturing.
Comput. Ind.
Yi Zhang, Dunbing Tang, Haihua Zhu, Shipei Li, Qingwei Nie
2021 J jnl
Research on Workers Integration in Smart Factories With Multi-Agent Control System.
IEEE Access
Zequn Zhang, Dunbing Tang, Qingwei Nie