Cloud manufacturing: a new manufacturing paradigm. - Lin Zhang 009; Yongliang Luo; Fei Tao 001; Bo Hu Li 001; Lei Ren 001; Xuesong Zhang; Hua Guo; Ying Cheng 001; Anrui Hu; Yongkui Liu 002 (Enterp. Inf. Syst., 2014)

A Modeling Framework for Resource Service Sharing in a Cloud Manufacturing System. - Yongkui Liu 002; Xun Xu 001; Lin Zhang 009; Fei Tao 001 (APMS (2), 2015)

A method of 3D reconstruction based on panoramic cameras. - Huagang Liang; Wen-Xiu Qian; Yong-Kui Liu 002; Feng Ru (Int. J. Model. Simul. Sci. Comput., 2015)

An Extensible Model for Multitask-Oriented Service Composition and Scheduling in Cloud Manufacturing. - Yongkui Liu 002; Xun Xu 001; Lin Zhang 009; Fei Tao 001 (J. Comput. Inf. Sci. Eng., 2016)

A clustering network-based approach to service composition in cloud manufacturing. - Feng Li 007; Lin Zhang 009; Yongkui Liu 002; Yuanjun Laili; Fei Tao 001 (Int. J. Comput. Integr. Manuf., 2017)

Resource service sharing in cloud manufacturing based on the Gale-Shapley algorithm: advantages and challenge. - Yongkui Liu 002; Lin Zhang 009; Fei Tao 001; Long Wang 001 (Int. J. Comput. Integr. Manuf., 2017)

Agent-based simulation platform for cloud manufacturing. - Chun Zhao; Lin Zhang 009; Yongkui Liu 002; Zhiqiang Zhang 004; Gengjiao Yang; Bo Hu Li 001 (Int. J. Model. Simul. Sci. Comput., 2017)

A framework for scheduling in cloud manufacturing with deep reinforcement learning. - Yongkui Liu 002; Lin Zhang 008; Lihui Wang 001; Yingying Xiao; Xun Xu 001; Mei Wang (INDIN, 2019)

Cloud manufacturing: key issues and future perspectives. - Yongkui Liu 002; Lihui Wang 001; Xi Vincent Wang; Xun Xu 001; Pingyu Jiang (Int. J. Comput. Integr. Manuf., 2019)

Multi-objective optimisation of multi-task scheduling in cloud manufacturing. - Feng Li 007; Lin Zhang 009; T. Warren Liao; Yongkui Liu 002 (Int. J. Prod. Res., 2019)

Scheduling in cloud manufacturing: state-of-the-art and research challenges. - Yongkui Liu 002; Lihui Wang 001; Xi Vincent Wang; Xun Xu 001; Lin Zhang 009 (Int. J. Prod. Res., 2019)

A multi-agent architecture for scheduling in platform-based smart manufacturing systems. - Yong-kui Liu 002; Xuesong Zhang; Lin Zhang 009; Fei Tao 001; Li-hui Wang 001 (Frontiers Inf. Technol. Electron. Eng., 2019)

IoT - and blockchain-enabled credible scheduling in cloud manufacturing: a systemic framework. - Yongkui Liu 002; Jingxin Zhang 007; Lin Zhang 009; Huagang Liang (INDIN, 2020)

QoS-Aware Service Composition in Cloud Manufacturing: A Gale-Shapley Algorithm-Based Approach. - Feng Li 007; Lin Zhang 009; Yongkui Liu 002; Yuanjun Laili (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Logistics-involved QoS-aware service composition in cloud manufacturing with deep reinforcement learning. - Huagang Liang; Xiaoqian Wen; Yongkui Liu 002; Haifeng Zhang; Lin Zhang 009; Lihui Wang 001 (Robotics Comput. Integr. Manuf., 2021)

Industrial Internet for Manufacturing. - Yongkui Liu 002; Lihui Wang 001; Xun Xu 001; Lin Zhang 009; Xi Vincent Wang (Robotics Comput. Integr. Manuf., 2021)

Model maturity-based model service composition in cloud environments. - Ying Liu 029; Lin Zhang 009; Yongkui Liu 002; Yuanjun Laili; Weicun Zhang (Simul. Model. Pract. Theory, 2021)

Dual manipulator collaborative shaft slot assembly via MADDPG. - Junying Yao; Xiaojuan Wang; Renqiang Li; Wenxiao Wang 007; Xubin Ping; Yongkui Liu 002 (ROBIO, 2022)

Logistics-involved service composition in a dynamic cloud manufacturing environment: A DDPG-based approach. - Yongkui Liu 002; Huagang Liang; Yingying Xiao; Haifeng Zhang; Jingxin Zhang 007; Lin Zhang 009; Lihui Wang 001 (Robotics Comput. Integr. Manuf., 2022)

A digital twin-based sim-to-real transfer for deep reinforcement learning-enabled industrial robot grasping. - Yongkui Liu 002; He Xu; Ding Liu; Lihui Wang 001 (Robotics Comput. Integr. Manuf., 2022)

Scheduling of decentralized robot services in cloud manufacturing with deep reinforcement learning. - Yongkui Liu 002; Yaoyao Ping; Lin Zhang 009; Lihui Wang 001; Xun Xu 001 (Robotics Comput. Integr. Manuf., 2023)

Effects of different resource-sharing strategies in cloud manufacturing: a Stackelberg game-based approach. - Xiaoning Cao; Hongguang Bo; Yongkui Liu 002; Xiaobing Liu (Int. J. Prod. Res., 2023)

Function block-enabled operation planning and machine control in Cloud-DPP. - Mohammad Givehchi; Yongkui Liu 002; Xi Vincent Wang; Lihui Wang 001 (Int. J. Prod. Res., 2023)

Hierarchical scheduling for multi-composite tasks in cloud manufacturing. - Changcheng Wan; Hualin Zheng; Liang Guo; Yongkui Liu 002 (Int. J. Prod. Res., 2023)

Logistics-involved task scheduling in cloud manufacturing with offline deep reinforcement learning. - Xiaohan Wang; Lin Zhang 009; Yongkui Liu 002; Chun Zhao (J. Ind. Inf. Integr., 2023)

Smart robotics for manufacturing. - Yongkui Liu 002; Lihui Wang 001; Sotiris Makris; Jörg Krüger (Robotics Comput. Integr. Manuf., 2023)

Enterprises cooperation and government supervision strategies under the impact of COVID-19. - Yongkui Liu 002; Yuangang Zheng; Hongguang Bo; Kai Ding 004; Felix T. S. Chan (Comput. Ind. Eng., 2023)

Optimization of manufacturers based on agent in cloud manufacturing. - Yanjuan Hu; Chao Shi; Wenjun Lv; Yongkui Liu 002; Xi Vincent Wang (Int. J. Model. Simul. Sci. Comput., 2023)

Digital twin for a robot assembly line: Architecture and implementation. - Yongkui Liu 002; Qing Zhao; Jianyong Feng; Chunfu Zhong; Lin Zhang 009 (Int. J. Model. Simul. Sci. Comput., 2023)

A framework for development of digital twin industrial robot production lines based on a mechatronics approach. - Yuan Zhao; Yongkui Liu 002; Jianyong Feng; Jinwei Guo; Lin Zhang 009 (Int. J. Model. Simul. Sci. Comput., 2023)

An improved deep reinforcement learning-based scheduling approach for dynamic task scheduling in cloud manufacturing. - Xiaohan Wang; Lin Zhang 009; Yongkui Liu 002; Yuanjun Laili (Int. J. Prod. Res., 2024)

Federated deep reinforcement learning for dynamic job scheduling in cloud-edge collaborative manufacturing systems. - Xiaohan Wang; Lin Zhang 009; Lihui Wang 001; Xi Vincent Wang; Yongkui Liu 002 (Int. J. Prod. Res., 2024)

Enterprise and service-level scheduling of robot production services in cloud manufacturing with deep reinforcement learning. - Yaoyao Ping; Yongkui Liu 002; Lin Zhang 009; Lihui Wang 001; Xun Xu 001 (J. Intell. Manuf., 2024)

Fusing human action recognition and object detection for human-robot collaborative assembly. - Yongkui Liu 002; Sen Wang; Mingyu Yuan; Jingli Du; Lin Zhang 009; Lihui Wang 001 (Int. J. Model. Simul. Sci. Comput., 2025)

Platform-enterprise collaborative scheduling in cloud manufacturing with deep reinforcement learning. - Wenbo Niu; Yongkui Liu 002; Yaoyao Ping; Lin Zhang 009 (Int. J. Model. Simul. Sci. Comput., 2025)

Multivariate quality prediction of thin-walled parts machining using multi-task parallel deep transfer learning. - Pei Wang; Pengde Huang; Haizhen Tao; Yongkui Liu 002; Tao Wang; Hai Qu (Int. J. Prod. Res., 2025)

A multi-level multi-domain digital twin modeling method for industrial robots. - Kang Yang; Yongkui Liu 002; Benben Tuo; Yaduo Pan; Xinyu Wang; Lin Zhang 009; Lihui Wang 001 (Robotics Comput. Integr. Manuf., 2025)

Hybrid Task Scheduling in Cloud Manufacturing With Sparse-Reward Deep Reinforcement Learning. - Xiaohan Wang; Yuanjun Laili; Lin Zhang 009; Yongkui Liu 002 (IEEE Trans Autom. Sci. Eng., 2025)

Coating defect detection in intelligent manufacturing: Advances, challenges, and future trends. - Bin Zi; Kai Tang 001; Yuan Li; Kai Feng; Yongkui Liu 002; Lihui Wang (Robotics Comput. Integr. Manuf., 2026)