A Novel Predictive Maintenance Method Based on Deep Adversarial Learning in the Intelligent Manufacturing System. - Changchun Liu; Dunbing Tang; Haihua Zhu; Qingwei Nie (IEEE Access, 2021)

Research on Workers Integration in Smart Factories With Multi-Agent Control System. - Zequn Zhang; Dunbing Tang; Qingwei Nie (IEEE Access, 2021)

A flexible configuration method of distributed manufacturing resources in the context of social manufacturing. - Yi Zhang 136; Dunbing Tang; Haihua Zhu; Shipei Li; Qingwei Nie (Comput. Ind., 2021)

A multi-agent and internet of things framework of digital twin for optimized manufacturing control. - Qingwei Nie; Dunbing Tang; Haihua Zhu; Hongwei Sun (Int. J. Comput. Integr. Manuf., 2022)

Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing. - Changchun Liu; Haihua Zhu; Dunbing Tang; Qingwei Nie; Tong Zhou; Liping Wang 017; Yejia Song (Robotics Comput. Integr. Manuf., 2022)

An Augmented Reality-Assisted Prognostics and Health Management System Based on Deep Learning for IoT-Enabled Manufacturing. - Liping Wang 017; Dunbing Tang; Changchun Liu; Qingwei Nie; Zhen Wang; Linqi Zhang (Sensors, 2022)

A transfer learning CNN-LSTM network-based production progress prediction approach in IIoT-enabled manufacturing. - Changchun Liu; Haihua Zhu; Dunbing Tang; Qingwei Nie; Shipei Li; Yi Zhang 136; Xuan Liu (Int. J. Prod. Res., 2023)

A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control. - Qingwei Nie; Dunbing Tang; Changchun Liu; Liping Wang 017; Jiaye Song (Robotics Comput. Integr. Manuf., 2023)

A mixed perception-based human-robot collaborative maintenance approach driven by augmented reality and online deep reinforcement learning. - Changchun Liu; Zequn Zhang; Dunbing Tang; Qingwei Nie; Linqi Zhang; Jiaye Song (Robotics Comput. Integr. Manuf., 2023)

Probing a point cloud based expeditious approach with deep learning for constructing digital twin models in shopfloor. - Zhen Zhao; Zequn Zhang; Qingwei Nie; Changchun Liu; Haihua Zhu; Kai Chen; Dunbing Tang (Adv. Eng. Informatics, 2024)

Probing an LSTM-PPO-Based reinforcement learning algorithm to solve dynamic job shop scheduling problem. - Wei Chen 139; Zequn Zhang; Dunbing Tang; Changchun Liu; Yong Gui; Qingwei Nie; Zhen Zhao (Comput. Ind. Eng., 2024)

An augmented reality-assisted interaction approach using deep reinforcement learning and cloud-edge orchestration for user-friendly robot teaching. - Changchun Liu; Dunbing Tang; Haihua Zhu; Qingwei Nie; Wei Chen 139; Zhen Zhao (Robotics Comput. Integr. Manuf., 2024)

Probing an Easy-to-Deploy Multi-Agent Manufacturing System Based on Agent Computing Node: Architecture, Implementation, and Case Study. - Liping Wang 017; Qingwei Nie; Zequn Zhang; Dunbing Tang; Changchun Liu (J. Comput. Inf. Sci. Eng., 2024)

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

Enhancing machine tool predictive maintenance: A dual-model approach integrating improved deep autoencoders and graph attention network. - Changchun Liu; Dunbing Tang; Haihua Zhu; Qixiang Cai; Zequn Zhang; Qingwei Nie (Comput. Ind. Eng., 2025)

It is Not Easy Diffusing Green: The Impact of Mandatory Regulations on the Diffusion Breadth and Depth of Voluntary Environmental Standards. - Liumiao Qin; Qinghua He; Ge Wang; Qingwei Nie; Jian Zuo (IEEE Trans. Engineering Management, 2025)