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 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)

A view-based 3D CAD model reuse framework enabling product lifecycle reuse. - Chao Zhang 037; Guanghui Zhou (Adv. Eng. Softw., 2019)

Deep learning enabled cutting tool selection for special-shaped machining features of complex products. - Guanghui Zhou; Xiongjun Yang; Chao Zhang 037; Zhi Li; Zhongdong Xiao (Adv. Eng. Softw., 2019)

Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing. - Guanghui Zhou; Chao Zhang 037; Zhi Li; Kai Ding 004; Chuang Wang (Int. J. Prod. Res., 2020)

Manufacturing Blockchain of Things for the Configuration of a Data- and Knowledge-Driven Digital Twin Manufacturing Cell. - Chao Zhang 037; Guanghui Zhou; Han Li; Yan Cao (IEEE Internet Things J., 2020)

Deep learning-enabled intelligent process planning for digital twin manufacturing cell. - Chao Zhang 037; Guanghui Zhou; Junsheng Hu; Jing Li (Knowl. Based Syst., 2020)

View-Based 3-D CAD Model Retrieval With Deep Residual Networks. - Chao Zhang 037; Guanghui Zhou; Haidong Yang; Zhongdong Xiao; Xiongjun Yang (IEEE Trans. Ind. Informatics, 2020)

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)

A twin data and knowledge-driven intelligent process planning framework of aviation parts. - Jingjing Li; Guanghui Zhou; Chao Zhang 037 (Int. J. Prod. Res., 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)

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)

A deep learning-enabled human-cyber-physical fusion method towards human-robot collaborative assembly. - Chao Zhang 037; Guanghui Zhou; Dongxu Ma; Rui Wang; Jiacheng Xiao; Dan Zhao (Robotics Comput. Integr. Manuf., 2023)

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)

Hybrid mechanism and data-driven digital twin model for assembly quality traceability and optimization of complex products. - Chao Zhang 037; Yongrui Yu; Guanghui Zhou; Junjie Hu; Ying Zhang; Dongxu Ma; Wei Cheng; Songchen Men (Adv. Eng. Informatics, 2024)

Digital twin-driven multi-dimensional assembly error modeling and control for complex assembly process in Industry 4.0. - Chao Zhang 037; Guanghui Zhou; Dongxu Ma; Zenghui Wang 010; Yongcheng Zou (Adv. Eng. Informatics, 2024)

A multi-level modelling and fidelity evaluation method of digital twins for creating smart production equipment in Industry 4.0. - Chao Zhang 037; Jingjing Li; Guanghui Zhou; Qian Huang; Min Zhang; Yifan Zhi; Zhibo Wei (Int. J. Prod. Res., 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)

Interpretable knowledge recommendation for intelligent process planning with graph embedded deep reinforcement learning. - Guanghui Zhou; Chong Han; Chao Zhang 037; Yaguang Zhou; Keyan Zeng; Jiancong Liu; Jiacheng Li; Kai Ding 004; Felix T. S. Chan (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)

Integrated optimisation of multi-pass cutting parameters and tool path with hierarchical reinforcement learning towards green manufacturing. - Fengyi Lu; Guanghui Zhou; Chao Zhang 037; Yang Liu 034; Marco Taisch (Robotics Comput. Integr. Manuf., 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)

A Systematic Review on Vision-Based Proactive Human Assembly Intention Recognition for Human-Centric Smart Manufacturing in Industry 5.0. - Dongxu Ma; Chao Zhang 037; Guanghui Zhou; Qingfeng Xu; Jinqiang Li; Dan Zhao; Jiewu Leng (IEEE Internet Things J., 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)

Large and small-scale models' fusion-driven proactive robotic manipulation control for human-robot collaborative assembly in industry 5.0. - Dongxu Ma; Chao Zhang 037; Qingfeng Xu; Guanghui Zhou (Robotics Comput. Integr. Manuf., 2026)