Changchun Liu

According to our database, Changchun Liu authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Changchun Liu

Robotics Comput. Integr. Manuf., 2026

A Large language model-based multi-agent manufacturing system for intelligent shopfloors.

Zhen Zhao, Dunbing Tang, Changchun Liu, Liping Wang, Zequn Zhang, Haihua Zhu, Kai Chen, Qingwei Nie, Yuchen Ji

Adv. Eng. Informatics, 2026

2025

Vision language model-enhanced embodied intelligence for digital twin-assisted human-robot collaborative assembly.

Changchun Liu, Dunbing Tang, Haihua Zhu, Zequn Zhang, Liping Wang, Yi Zhang

J. Ind. Inf. Integr., 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

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, Jiaye Song, Dunbing Tang, Liping Wang, Haihua Zhu, Qixiang Cai

Adv. Eng. Informatics, 2025

2024

Probing an Easy-to-Deploy Multi-Agent Manufacturing System Based on Agent Computing Node: Architecture, Implementation, and Case Study.

Liping Wang, Qingwei Nie, Zequn Zhang, Dunbing Tang, Changchun Liu

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.

Changchun Liu, Dunbing Tang, Haihua Zhu, Qingwei Nie, Wei Chen, Zhen Zhao

Robotics Comput. Integr. Manuf., February, 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, Wei Shi, Qixiang Cai

Int. J. Prod. Res., 2024

Probing an LSTM-PPO-Based reinforcement learning algorithm to solve dynamic job shop scheduling problem.

Wei Chen, Zequn Zhang, Dunbing Tang, Changchun Liu, Yong Gui, Qingwei Nie, Zhen Zhao

Comput. Ind. Eng., 2024

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., October, 2023

A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control.

Qingwei Nie, Dunbing Tang, Changchun Liu, Liping Wang, Jiaye Song

Robotics Comput. Integr. Manuf., August, 2023

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, Xuan Liu

Int. J. Prod. Res., 2023

2022

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

Liping Wang, Dunbing Tang, Changchun Liu, Qingwei Nie, Zhen Wang, Linqi Zhang

Sensors, 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, Yejia Song

Robotics Comput. Integr. Manuf., 2022

2021

Medical rolling bearing fault prognostics based on improved extreme learning machine.

Cheng He, Changchun Liu, Tao Wu, Ying Xu, Yang Wu, Tong Chen

J. Comb. Optim., 2021

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