Thermally-induced error compensation of spindle system based on long short term memory neural networks. - Jialan Liu; Chi Ma; Hongquan Gui; Shilong Wang (Appl. Soft Comput., 2021)

Geometric-thermal error control system for gear profile grinding machine. - Jialan Liu; Chi Ma; Hongquan Gui; Mengyuan Li (Adv. Eng. Informatics, 2022)

Correlation analysis-based thermal error control with ITSA-GRU-A model and cloud-edge-physical collaboration framework. - Qiang Yuan; Chi Ma; Jialan Liu; Hongquan Gui; Mengyuan Li; Shilong Wang (Adv. Eng. Informatics, 2022)

New mist-edge-fog-cloud system architecture for thermal error prediction and control enabled by deep-learning. - Hongquan Gui; Jialan Liu; Chi Ma; Mengyuan Li; Shilong Wang (Eng. Appl. Artif. Intell., 2022)

Transfer learning-based thermal error prediction and control with deep residual LSTM network. - Jialan Liu; Chi Ma; Hongquan Gui; Shilong Wang (Knowl. Based Syst., 2022)

Digital twin system of thermal error control for a large-size gear profile grinder enabled by gated recurrent unit. - Jialan Liu; Hongquan Gui; Chi Ma (J. Ambient Intell. Humaniz. Comput., 2023)

Self learning-empowered thermal error control method of precision machine tools based on digital twin. - Chi Ma; Hongquan Gui; Jialan Liu (J. Intell. Manuf., 2023)

Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework. - Shuang Zeng; Chi Ma; Jialan Liu; Mengyuan Li; Hongquan Gui (Appl. Soft Comput., 2023)

Thermal error prediction and control method combining residual-based one-dimensional convolution-minimum gate unit model with physical-data-edge-cloud terminal architecture. - Fangqiong Luo; Chi Ma; Jialan Liu; Hongquan Gui; Mengyuan Li (Neural Comput. Appl., 2023)

Intelligent digital-twin prediction and reverse control system architecture for thermal errors enabled by deep learning and cloud-edge computing. - Jialan Liu; Chi Ma; Hongquan Gui; Shilong Wang (Expert Syst. Appl., 2023)

Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial-temporal feature interaction fusion network. - Qian Chen; Xuesong Mei; Jialong He; Jun Yang; Kuo Liu; Yuansheng Zhou; Chi Ma; Jialan Liu; Shuang Zeng; Lin Zhang; Hongquan Gui; Jianqiang Zhou; et al. (Adv. Eng. Informatics, 2024)

A behavioral conditional diffusion probabilistic model for human motion modeling in multi-action mixed human-robot collaboration. - Hongquan Gui; Ming Li 055; Zhaolin Yuan (Adv. Eng. Informatics, 2024)

Predicting and compensating for small-sample thermal information data in precision machine tools: A spatial-temporal interactive integration network and digital twin system approach. - Zheng Wu; Chi Ma; Lang Zhang; Hongquan Gui; Jialan Liu; Zijie Liu (Appl. Soft Comput., 2024)

Revolutionizing gear hobbing machine precision: Innovative thermal error compensation and intelligent error control with enhanced crystal structure algorithm and self-attention bidirectional minimal gated unit network. - Jinrui Fan; Zihan Li; Tianshu Wang; Jialan Liu; Chi Ma; Hongquan Gui; Zijie Liu (Expert Syst. Appl., 2024)

Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system. - Mengyuan Li; Chi Ma; Jialan Liu; Hongquan Gui; Shuang Zeng; Fangqiong Luo (Eng. Appl. Artif. Intell., 2024)

Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model. - Hongquan Gui; Jialan Liu; Chi Ma; Mengyuan Li (J. Intell. Manuf., 2024)