Soft sensors of nonlinear industrial processes based on self-learning kernel regression model. - Chihang Wei; Junghui Chen; Zhihuan Song; Chun-I Chen (ASCC, 2017)

Development of Self-Learning Kernel Regression Models for Virtual Sensors on Nonlinear Processes. - Chihang Wei; Junghui Chen; Zhihuan Song; Chun-I Chen (IEEE Trans Autom. Sci. Eng., 2019)

Generalized Semisupervised Self-Optimizing Kernel Model for Quality-Related Industrial Process Monitoring. - Chihang Wei; Zhihuan Song (IEEE Trans. Ind. Electron., 2020)

Virtual Sensor Development for Multioutput Nonlinear Processes Based on Bilinear Neighborhood Preserving Regression Model With Localized Construction. - Chihang Wei; Weiming Shao; Zhihuan Song (IEEE Trans. Ind. Informatics, 2021)

Identification of important factors influencing nonlinear counting systems. - Xinmin Zhang; Jingbo Wang 004; Chihang Wei; Zhihuan Song (Frontiers Inf. Technol. Electron. Eng., 2022)

Hessian Semisupervised Scatter Regularized Classification Model With Geometric and Discriminative Information for Nonlinear Process. - Chihang Wei; Liyun Zuo; Xinmin Zhang; Zhihuan Song (IEEE Trans. Cybern., 2022)

Real-Time Forecasting of Subsurface Inclusion Defects for Continuous Casting Slabs: A Data-Driven Comparative Study. - Chihang Wei; Zhihuan Song (Sensors, 2023)

A novel semi-supervised robust learning framework for dynamic generative latent variable models and its application to industrial virtual metrology. - Wenxue Han; Weiming Shao; Chihang Wei; Wei Song; Can Chen; Junghui Chen (Adv. Eng. Informatics, 2024)

A Novel Sequence Discriminative Feature Extraction Network and Its Application in Offline Industrial Fault Pattern Clustering. - Jinchuan Qian; Chihang Wei; Zhihuan Song (IEEE Trans. Ind. Informatics, 2024)

Virtual Sensing of Key Variables in the Hydrogen Production Process: A Comparative Study of Data-Driven Models. - Yating Yao; Yupeng Xing; Ziteng Zuo; Chihang Wei; Weiming Shao (Sensors, 2024)