A survey on multistage/multiphase statistical modeling methods for batch processes. - Yuan Yao 002; Furong Gao (Annu. Rev. Control., 2009)

An edge-based optimization method for shape recognition using atomic potential function. - Bai Li 002; Yuan Yao 002 (Eng. Appl. Artif. Intell., 2014)

Iterative improvement of parameter estimation for model migration by means of sequential experiments. - Linkai Luo; Yuan Yao 002; Furong Gao (Comput. Chem. Eng., 2015)

A Method of Ridge-NNG-Based Multivariate Fault Isolation in Presentence of Collinearity. - Yimin Guo; Jianguo Wang; Banghua Yang; Shiwei Ma; Minrui Fei; Yuan Yao 002; Tao Chen 009 (LSMS/ICSEE (2), 2017)

Multivariate Fault Isolation in Presence of Outliers Based on Robust Nonnegative Garrote. - Jianguo Wang; Zhifu Deng; Banghua Yang; Shiwei Ma; Minrui Fei; Yuan Yao 002; Tao Chen 009 (LSMS/ICSEE (2), 2017)

Transfer of Qualitative and Quantitative Knowledge for Similar Batch Process Monitoring. - Jinlin Zhu; Yuan Yao 002; Furong Gao (IEEE Access, 2018)

Fault Detection, Isolation, and Prognosis for Complex System. - Chunhui Zhao 001; Furong Gao; Yuan Yao 002; Zhixing Cao; Yongji Fu (J. Control. Sci. Eng., 2018)

Sparse Principal Component Thermography for Subsurface Defect Detection in Composite Products. - Jin-Yi Wu; Stefano Sfarra; Yuan Yao 002 (IEEE Trans. Ind. Informatics, 2018)

Orthogonal Locality Preserving Projections Thermography for Subsurface Defect Detection. - Kaixin Liu; Yuwei Tang; Yuan Yao 002; Yi Liu 024; Jianguo Yang (CAA SAFEPROCESS, 2019)

Personalized EEG Feature Extraction Method Based on Filter Bank and Elastic Network. - Jianguo Wang; Zeng Chen; Yuan Yao 002 (BICT, 2020)

Causal Network Analysis and Fault Root Point Detection Based on Symbolic Transfer Entropy. - Jianguo Wang; Xiang-Yun Ye; Yuan Yao 002 (BICT, 2020)

Physically Consistent Soft-Sensor Development Using Sequence-to-Sequence Neural Networks. - Cheng-Hung Chou; Haibin Wu; Jia-Lin Kang; David Shan-Hill Wong; Yuan Yao 002; Yao-Chen Chuang; Shi-Shang Jang; John Di-Yi Ou (IEEE Trans. Ind. Informatics, 2020)

Spatial-Neighborhood Manifold Learning for Nondestructive Testing of Defects in Polymer Composites. - Yi Liu 024; Kaixin Liu; Jianguo Yang; Yuan Yao 002 (IEEE Trans. Ind. Informatics, 2020)

Multiview Learning for Subsurface Defect Detection in Composite Products: A Challenge on Thermographic Data Analysis. - Haibin Wu; Kaiyi Zheng; Stefano Sfarra; Yi Liu 024; Yuan Yao 002 (IEEE Trans. Ind. Informatics, 2020)

Generative Principal Component Thermography for Enhanced Defect Detection and Analysis. - Kaixin Liu; Yingjie Li; Jianguo Yang; Yi Liu 024; Yuan Yao 002 (IEEE Trans. Instrum. Meas., 2020)

A Personalized Feature Extraction and Classification Method for Motor Imagery Recognition. - Jianguo Wang; Hui-Min Shao; Yuan Yao 002; Jian-Long Liu; Shi-Wei Ma (Mob. Networks Appl., 2021)

Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection. - Katherine Tu; Clemente Ibarra-Castanedo; Stefano Sfarra; Yuan Yao 002; Xavier P. V. Maldague (Sensors, 2021)

Actively Exploring Informative Data for Smart Modeling of Industrial Multiphase Flow Processes. - Hongying Deng; Keyun Yang; Yi Liu 024; Shengchang Zhang; Yuan Yao 002 (IEEE Trans. Ind. Informatics, 2021)

Thermographic Data Analysis for Defect Detection by Imposing Spatial Connectivity and Sparsity Constraints in Principal Component Thermography. - Ching-Mei Wen; Stefano Sfarra; Gianfranco Gargiulo; Yuan Yao 002 (IEEE Trans. Ind. Informatics, 2021)

Brain Controlled Manipulator System Based on Improved Target Detection and Augmented Reality Technology. - Yiling Huang; Banghua Yang; Zhaokun Wang; Yuan Yao 002; Mengdie Xu; Xinxing Xia (HBAI@IJCAI, 2022)

Signal Enhancement in Defect Detection of CFRP Material Using a Combination of Difference of Gaussian Convolutions and Sparse Principal Component Thermography. - Wei Liu 171; Beiping Hou; Yuan Yao 002; Le Zhou (IEEE Access, 2022)

Electroencephalograph-based emotion recognition using convolutional neural network without manual feature extraction. - Jianguo Wang; Hui-Min Shao; Yuan Yao 002; Jian-Long Liu; Hua-Ping Sun; Shi-Wei Ma (Appl. Soft Comput., 2022)

Thermographic Imaging in Cultural Heritage: A Short Review. - Vasiliki Dritsa; Noemi Orazi; Yuan Yao 002; Stefano Paoloni; Maria Koui; Stefano Sfarra (Sensors, 2022)

Convolutional Graph Thermography for Subsurface Defect Detection in Polymer Composites. - Kaixin Liu; Qing Yu; Yi Liu 024; Jianguo Yang; Yuan Yao 002 (IEEE Trans. Instrum. Meas., 2022)

Semi-Supervised Process Data Regression and Application Based on Latent Factor Analysis Model. - Junhua Zheng; Yangxuan Liu; Yi Liu 024; Beiping Hou; Yuan Yao 002; Le Zhou (IEEE Trans. Instrum. Meas., 2023)

Convolutional Neural Network-Based Machine Vision for Non-Destructive Detection of Flooding in Packed Columns. - Yi Liu 024; Yuxin Jiang; Zengliang Gao; Kaixin Liu; Yuan Yao 002 (Sensors, 2023)

Deep Autoencoder Thermography for Defect Detection of Carbon Fiber Composites. - Kaixin Liu; Mingkai Zheng; Yi Liu 024; Jianguo Yang; Yuan Yao 002 (IEEE Trans. Ind. Informatics, 2023)

Generative Deep Learning-Based Thermographic Inspection of Artwork. - Yi Liu 024; Fumin Wang; Zhili Jiang; Stefano Sfarra; Kaixin Liu; Yuan Yao 002 (Sensors, 2023)

Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory. - Zhen-Feng Jiang; Xi-Zhan Wei; Jia-Lin Kang; David Shan-Hill Wong; Yuan Yao 002; Yao-Chen Chuang; Shi-Shang Jang; John Di-Yi Ou (Comput. Chem. Eng., 2024)

A hierarchical granger causality analysis framework based on information of redundancy for root cause diagnosis of process disturbances. - Jianguo Wang; Rui Chen; Xiang-Yun Ye; Zhong-Tao Xie; Yuan Yao 002; Li-Lan Liu (Comput. Chem. Eng., 2024)

Advance industrial monitoring of physio-chemical processes using novel integrated machine learning approach. - Husnain Ali; Rizwan Safdar; Muhammad Hammad Rasool; Hirra Anjum; Yuanqiang Zhou; Yuan Yao 002; Le Yao; Furong Gao (J. Ind. Inf. Integr., 2024)

Quality-aware industrial data imputation with self-supervised recovery for process soft sensor development. - Yun Dai; Chao Yang 019; Kaixin Liu; Yi Liu 024; Yuan Yao 002 (Comput. Chem. Eng., 2025)

Corrigendum to "Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory" [Computers & Chemical Engineering 189, 108790]. - Zhen-Feng Jiang; Xi-Zhan Wei; Jia-Lin Kang; David Shan-Hill Wong; Yuan Yao 002; Yao-Chen Chuang; Shi-Shang Jang; John Di-Yi Ou (Comput. Chem. Eng., 2025)

A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes. - Husnain Ali; Rizwan Safdar; Yuanqiang Zhou; Yuan Yao 002; Le Yao; Zheng Zhang; Weilong Ding; Furong Gao (Mach. Learn. Sci. Technol., 2025)

Prioritized fault detection and diagnosis in chemical industry using production loss-guided cost matrix with self-attention mechanism. - Santi Bardeeniz; Chanin Panjapornpon; Tawesin Jitchaiyapoom; David Shan-Hill Wong; Yuan Yao 002 (Reliab. Eng. Syst. Saf., 2025)

Physics-Informed Neural Networks for Defect Detection and Thermal Diffusivity Evaluation in Carbon Fiber-Reinforced Polymer Using Pulsed Thermography. - Wei Hng Lim; Stefano Sfarra; Tung-Yu Hsiao; Yuan Yao 002 (IEEE Trans. Instrum. Meas., 2025)