Graph-based knowledge reuse for supporting knowledge-driven decision-making in new product development. - Chao Zhang 037; Guanghui Zhou; Qi Lu; Fengtian Chang (Int. J. Prod. Res., 2017)

Identification of influential nodes in multi-layer mapping service network for high-end manufacturing equipment. - Fengtian Chang; Guanghui Zhou; Changle Tian; Chao Zhang 037; Chuang Wang (ICNSC, 2018)

A low-carbon game-based job scheduling considering material transit. - Changle Tian; Guanghui Zhou; Fengtian Chang; Junjie Zhang; Chuang Wang (ICNSC, 2018)

A function availability-based integrated product-service network model for high-end manufacturing equipment. - Fengtian Chang; Guanghui Zhou; Xiaoping Xiao; Changle Tian; Chao Zhang 037 (Comput. Ind. Eng., 2018)

Generating significant subassemblies from 3D assembly models for design reuse. - Chao Zhang 037; Guanghui Zhou; Qi Lu; Fengtian Chang (Int. J. Prod. Res., 2018)

A service-oriented multi-player maintenance grouping strategy for complex multi-component system based on game theory. - Fengtian Chang; Guanghui Zhou; Wei Cheng; Chao Zhang 037; Changle Tian (Adv. Eng. Informatics, 2019)

Research on adaptive transmission and controls of COVID-19 on the basis of a complex network. - Fengjiao Chang; Feng Wu; Fengtian Chang; Hongyu Hou (Comput. Ind. Eng., 2021)

A Rule-enhanced Collaborative Design Method for Automobiles Considering Manufacturing Constraints. - Yanzhen Jing; Guanghui Zhou; Fengtian Chang; Chao Zhang 037; Hairui Yan; Zhongdong Xiao (CSCWD, 2022)

A Digital Twin-Based Automatic Programming Method for Adaptive Control of Manufacturing Cells. - Chao Zhang 037; Guanghui Zhou; Yanzhen Jing; Rui Wang; Fengtian Chang (IEEE Access, 2022)

KAiPP: An interaction recommendation approach for knowledge aided intelligent process planning with reinforcement learning. - Chao Zhang 037; Guanghui Zhou; Jingjing Li; Tianyu Qin; Kai Ding 004; Fengtian Chang (Knowl. Based Syst., 2022)

A New Prediction Method of Tool Life Considering Cognitive Uncertainty by Delayed Rejection Adaptive Sampling. - Zenghui Wang 010; Guanghui Zhou; Chao Zhang 037; Fengtian Chang; Yaguang Zhou; Dan Zhao (CASE, 2023)

Reinforcement learning-based dynamic production-logistics-integrated tasks allocation in smart factories. - Jingyuan Lei; Jizhuang Hui; Fengtian Chang; Salim Dassari; Kai Ding 004 (Int. J. Prod. Res., 2023)

Energy-efficient multi-pass cutting parameters optimisation for aviation parts in flank milling with deep reinforcement learning. - Fengyi Lu; Guanghui Zhou; Chao Zhang 037; Yang Liu 034; Fengtian Chang; Zhongdong Xiao (Robotics Comput. Integr. Manuf., 2023)

A dynamic multi-layer maintenance service network evolution and decision-making method for service-oriented complex equipment. - Fengtian Chang; Guanghui Zhou; Qian Huang; Kai Ding 004; Wei Cheng; Jizhuang Hui; Yifan Zhi; Chao Zhang 037 (Comput. Ind. Eng., 2023)

Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review. - Chao Zhang 037; Zenghui Wang 010; Guanghui Zhou; Fengtian Chang; Dongxu Ma; Yanzhen Jing; Wei Cheng; Kai Ding 004; Dan Zhao (Adv. Eng. Informatics, 2023)

Analysis of value co-creation pattern of household appliance supply chain enterprises based on technology innovation. - Zhongdong Xiao; Xinrui Yang; Huaping Dang; Fengtian Chang; Guanghui Zhou (IMMS, 2024)

XMKR: Explainable manufacturing knowledge recommendation for collaborative design with graph embedding learning. - Yanzhen Jing; Guanghui Zhou; Chao Zhang 037; Fengtian Chang; Hairui Yan; Zhongdong Xiao (Adv. Eng. Informatics, 2024)

A large language model-enabled machining process knowledge graph construction method for intelligent process planning. - Qingfeng Xu; Fei Qiu; Guanghui Zhou; Chao Zhang 037; Kai Ding 004; Fengtian Chang; Fengyi Lu; Yongrui Yu; Dongxu Ma; Jiancong Liu (Adv. Eng. Informatics, 2025)

Heterogeneous knowledge graph-driven subassembly identification with ensemble deep learning in Industry 4.0. - Chao Zhang 037; Yanzhen Jing; Guanghui Zhou; Hairui Yan; Fengtian Chang (Int. J. Prod. Res., 2025)

A survey on potentials, pathways and challenges of large language models in new-generation intelligent manufacturing. - Chao Zhang 037; Qingfeng Xu; Yongrui Yu; Guanghui Zhou; Keyan Zeng; Fengtian Chang; Kai Ding 004 (Robotics Comput. Integr. Manuf., 2025)

An adaptive RUL prediction approach for cutting tools incorporated with interpretability and uncertainty. - Zenghui Wang 010; Guanghui Zhou; Chao Zhang 037; Jiancong Liu; Fengtian Chang; Yaguang Zhou; Chong Han; Dan Zhao (Reliab. Eng. Syst. Saf., 2025)

Defining a feature-level digital twin process model by extracting machining features from MBD models for intelligent process planning. - Jingjing Li; Guanghui Zhou; Chao Zhang 037; Junsheng Hu; Fengtian Chang; Andrea Matta (J. Intell. Manuf., 2025)

Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning. - Fengyi Lu; Guanghui Zhou; Chao Zhang 037; Yang Liu 034; Fengtian Chang; Qi Lu; Zhongdong Xiao (J. Intell. Manuf., 2025)