Enhancing Monitoring Performance of Pharmaceutical Processes Using Dual-Attention Latent Dynamic Conditional State-Space Model. - Yi Shan Lee; Junghui Chen (ASCC, 2022)

Using source data to aid and build variational state-space autoencoders with sparse target data for process monitoring. - Yi Shan Lee; Junghui Chen (Neural Networks, 2022)

Establishing Convolutional Neural Network Kalman Recurrent Variational Autoencoder Using Infrared Imaging for Process Monitoring: An Application in Spinning Disk Processes. - Yongci Zhang; Yi Shan Lee; Huanting Lin; Junghui Chen (IEEE Trans. Instrum. Meas., 2022)

A robust semi-supervised learning scheme for development of within-batch quality prediction soft-sensors. - Yi Shan Lee; Junghui Chen (Eng. Appl. Artif. Intell., 2024)

A novel reinforced incomplete cyber-physics ensemble with error compensation learning for within-batch quality prediction. - Yi Shan Lee; Junghui Chen (Adv. Eng. Informatics, 2025)

Erratum to "A robust semi-supervised learning scheme for development of within-batch quality prediction soft-sensors"[Eng. Appl. Artif. Intell. 133 (2024) 107920]. - Yi Shan Lee; Junghui Chen (Eng. Appl. Artif. Intell., 2025)