Guoqing Mu

According to our database, Guoqing Mu authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

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

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