A Novel Predictive Maintenance Method Based on Deep Adversarial Learning in the Intelligent Manufacturing System. - Changchun Liu 002; Dunbing Tang; Haihua Zhu; Qingwei Nie (IEEE Access, 2021)

Medical rolling bearing fault prognostics based on improved extreme learning machine. - Cheng He; Changchun Liu 002; Tao Wu; Ying Xu; Yang Wu; Tong Chen (J. Comb. Optim., 2021)

Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing. - Changchun Liu 002; 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 002; 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 002; 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 002; 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 002; Zequn Zhang; Dunbing Tang; Qingwei Nie; Linqi Zhang; Jiaye Song (Robotics Comput. Integr. Manuf., 2023)

Probing an LSTM-PPO-Based reinforcement learning algorithm to solve dynamic job shop scheduling problem. - Wei Chen 139; Zequn Zhang; Dunbing Tang; Changchun Liu 002; Yong Gui; Qingwei Nie; Zhen Zhao (Comput. Ind. Eng., 2024)

An MBD-driven order remaining completion time prediction method based on SSA-BiLSTM in the IoT-enabled manufacturing workshop. - Haihua Zhu; Jianjie Wang; Changchun Liu 002; Wei Shi; Qixiang Cai (Int. J. Prod. Res., 2024)

An augmented reality-assisted interaction approach using deep reinforcement learning and cloud-edge orchestration for user-friendly robot teaching. - Changchun Liu 002; 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 002 (J. Comput. Inf. Sci. Eng., 2024)

Probing a novel machine tool fault reasoning and maintenance service recommendation approach through data-knowledge empowered LLMs integrated with AR-assisted maintenance guidance. - Changchun Liu 002; Jiaye Song; Dunbing Tang; Liping Wang 017; Haihua Zhu; Qixiang Cai (Adv. Eng. Informatics, 2025)

Enhancing machine tool predictive maintenance: A dual-model approach integrating improved deep autoencoders and graph attention network. - Changchun Liu 002; Dunbing Tang; Haihua Zhu; Qixiang Cai; Zequn Zhang; Qingwei Nie (Comput. Ind. Eng., 2025)

Vision language model-enhanced embodied intelligence for digital twin-assisted human-robot collaborative assembly. - Changchun Liu 002; Dunbing Tang; Haihua Zhu; Zequn Zhang; Liping Wang 017; Yi Zhang 136 (J. Ind. Inf. Integr., 2025)

A Large language model-based multi-agent manufacturing system for intelligent shopfloors. - Zhen Zhao; Dunbing Tang; Changchun Liu 002; Liping Wang 017; Zequn Zhang; Haihua Zhu; Kai Chen; Qingwei Nie; Yuchen Ji (Adv. Eng. Informatics, 2026)

Probing AR-assisted seamless HRC assembly for industry 5.0: Multi-modal mutual cognition and LLM-driven knowledge reasoning. - Ye Ma; Dunbing Tang; Haihua Zhu; Qixiang Cai; Zequn Zhang; Liping Wang 017; Changchun Liu 002 (Robotics Comput. Integr. Manuf., 2026)