Guoqing Mu

According to our database, Guoqing Mu authored at least 15 papers between 2021 and 2025.

Collaborative distances:

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

2025

A method of hierarchical feature fusion and adaptive receptive field for concrete pavement crack detection.

Zhong Qu, Bin Yuan, Guoqing Mu

Signal Image Video Process., January, 2025

Attention-Driven Supervised Dynamic Latent Variable Models for Monitoring Dynamic Industrial Process.

Jingxiang Liu, Guoqing Mu, Junghui Chen

IEEE Trans. Instrum. Meas., 2025

Integrating physical knowledge for generative-based zero-shot learning models in process fault diagnosis.

Guoqing Mu, Ching-Lien Liu, Junghui Chen

Reliab. Eng. Syst. Saf., 2025

Joint optimization of quality control and maintenance policy for a production system with quality-dependent failures.

Jingjing Wang, Lingyun Luo, Guoqing Mu, Yingying Ma, Chao Ni

Expert Syst. Appl., 2025

2024

Data-Driven Power Prediction for Proton Exchange Membrane Fuel Cell Reactor Systems.

Shuai He, Xuejing Wu, Zexu Bai, Jiyao Zhang, Shinee Lou, Guoqing Mu

Sensors, September, 2024

A method of hybrid dilated and global convolution networks for pavement crack detection.

Zhong Qu, Ming Li, Bin Yuan, Guoqing Mu

Multim. Syst., August, 2024

A concise subspace projection based meta-learning method for fast modeling and monitoring in multi-grade semiconductor process.

Jingxiang Liu, Weimin Zhu, Guoqing Mu, Chun-I Chen, Junghui Chen

Comput. Ind. Eng., 2024

Enhancing Fault Sample Generation Through Physical Knowledge Guidance.

Guoqing Mu, Ching-Lien Liu, Li Zhu, Junghui Chen

Proceedings of the 14th Asian Control Conference, 2024

Attention-based Dynamic Latent Variable Modeling Method for Process Monitoring.

Jingxiang Liu, Weimin Zhu, Guoqing Mu, Jie Hou, Junhui Chen

Proceedings of the 14th Asian Control Conference, 2024

2023

Just-In-Time Learning Based Functional Spectral Data Modeling for In-Situ Measurement of Slurry Component Concentrations via Infrared Spectroscopy.

Jingxiang Liu, Tao Liu, Guoqing Mu, Chao Shang

IEEE Trans. Instrum. Meas., 2023

Tensor slow feature analysis and its applications for batch process monitoring.

Jingxiang Liu, Guoqing Mu, Junghui Chen

Comput. Chem. Eng., 2023

2022

Variational PLS-Based Calibration Model Building With Semi-Supervised Learning for Moisture Measurement During Fluidized Bed Drying by NIR Spectroscopy.

Guoqing Mu, Tao Liu, Junghui Chen, Chao Shang, Chongquan Zhong

IEEE Trans. Instrum. Meas., 2022

Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling.

Guoqing Mu, Junghui Chen

IEEE Trans. Instrum. Meas., 2022

Tensor Slow Feature Analysis for Monitoring Batch Process.

Jingxiang Liu, Junhui Chen, Guoqing Mu

Proceedings of the 13th Asian Control Conference, 2022

2021

Semi-Supervised Learning-Based Calibration Model Building of NIR Spectroscopy for In Situ Measurement of Biochemical Processes Under Insufficiently and Inaccurately Labeled Samples.

Guoqing Mu, Tao Liu, Chuang Xue, Junghui Chen

IEEE Trans. Instrum. Meas., 2021