Hongquan Gui

According to our database, Hongquan Gui authored at least 16 papers between 2021 and 2024.

Collaborative distances:

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

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., March, 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., January, 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

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

A behavioral conditional diffusion probabilistic model for human motion modeling in multi-action mixed human-robot collaboration.

Hongquan Gui, Ming Li, Zhaolin Yuan

Adv. Eng. Informatics, 2024

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, Shengbin Weng

Adv. Eng. Informatics, 2024

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., September, 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., July, 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., May, 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., February, 2023

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., February, 2023

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

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

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

Geometric-thermal error control system for gear profile grinding machine.

Jialan Liu, Chi Ma, Hongquan Gui, Mengyuan Li

Adv. Eng. Informatics, 2022

2021

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