Fault diagnosis for processes with feedback control loops by shifted output sampling approach. - Kai Wang 024; Junghui Chen; Zhihuan Song (J. Frankl. Inst., 2018)

A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method. - Kai Wang 024; Junghui Chen; Zhihuan Song (J. Frankl. Inst., 2018)

Fault Detection Based on Variational Autoencoders for Complex Nonlinear Processes. - Kai Wang 024; Junghui Chen; Zhihuan Song (ASCC, 2019)

Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes. - Kai Wang 024; Michael G. Forbes; R. Bhushan Gopaluni; Junghui Chen; Zhihuan Song (IEEE Access, 2019)

Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems With Measured Disturbances. - Kai Wang 024; Junghui Chen; Zhihuan Song (IEEE Trans Autom. Sci. Eng., 2019)

Performance Analysis of Dynamic PCA for Closed-Loop Process Monitoring and Its Improvement by Output Oversampling Scheme. - Kai Wang 024; Junghui Chen; Zhihuan Song (IEEE Trans. Control. Syst. Technol., 2019)

Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction. - Kai Wang 024; R. Bhushan Gopaluni; Junghui Chen; Zhihuan Song (IEEE Trans. Ind. Informatics, 2020)

Quality-Sensitive Feature Extraction for End Product Quality Prediction in Injection Molding Processes. - Fangyang Liu; Yalin Wang 003; Kai Wang 024 (Big Data (CCF), 2021)

A fault reconstruction strategy for fault diagnosis of state-related multiplicative faults. - Kai Wang 024; Zhiying Guo; Yalin Wang 003 (CAA SAFEPROCESS, 2021)

An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties. - Yalin Wang 003; Ling Li; Kai Wang 024 (Comput. Chem. Eng., 2021)

Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes. - Chenliang Liu; Yalin Wang 003; Kai Wang 024; Xiaofeng Yuan (Eng. Appl. Artif. Intell., 2021)

Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network. - Kai Wang 024; Zhiying Guo; Yalin Wang 003; Xiaofeng Yuan; Chunhua Yang 001 (Eng. Appl. Artif. Intell., 2021)

Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process. - Chenliang Liu; Kai Wang 024; Lingjian Ye; Yalin Wang 003; Xiaofeng Yuan (Inf. Sci., 2021)

Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. - Kai Wang 024; Xiaofeng Yuan; Junghui Chen; Yalin Wang 003 (Neural Networks, 2021)

Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE. - Chenliang Liu; Kai Wang 024; Yalin Wang 003; Shengli Xie; Chunhua Yang 001 (IEEE Trans. Instrum. Meas., 2021)

Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes. - Xiaofeng Yuan; Lu Feng; Kai Wang 024; Yalin Wang 003; Lingjian Ye (IEEE Trans. Instrum. Meas., 2021)

A multi-source transfer learning method for new mode monitoring in industrial processes. - Kai Wang 024; Wenxuan Zhou; Chenliang Liu; Xiaofeng Yuan; Yalin Wang 003 (CoDIT, 2022)

Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling. - Yalin Wang 003; Diju Liu; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024; Chunhua Yang 001 (Adv. Eng. Informatics, 2022)

Online reconstruction and diagnosibility analysis of multiplicative fault models for process-related faults. - Kai Wang 024; Zhiying Guo; Yalin Wang 003; Xiaofeng Yuan (J. Frankl. Inst., 2022)

New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer. - Kai Wang 024; Wenxuan Zhou; Yanfang Mo; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001 (Knowl. Based Syst., 2022)

A reduced nonstationary discrete convolution kernel for multimode process monitoring. - Kai Wang 024; Caoyin Yan; Xiaofeng Yuan; Yalin Wang 003; Chenliang Liu (Int. J. Mach. Learn. Cybern., 2022)

A Monitoring Method Based on FDALM and Its Application in the Sintering Process of Ternary Cathode Material. - Ning Chen 009; Fuhai Hu; Jiayao Chen; Kai Wang 024; Chunhua Yang 001; Weihua Gui 001 (Sensors, 2022)

Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application. - Chenliang Liu; Kai Wang 024; Yalin Wang 003; Xiaofeng Yuan (IEEE Trans. Ind. Informatics, 2022)

Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction. - Yalin Wang 003; Jiang Luo; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024; Chunhua Yang 001 (IEEE Trans. Instrum. Meas., 2022)

Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. - Kai Wang 024; Junghui Chen; Zhihuan Song; Yalin Wang 003; Chunhua Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Communication and Self-Learning Strategies Incorporated State Transition Algorithm for Optimization of Complex Systems. - Xujie Tan; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024 (SAFEPROCESS, 2023)

Promoting Decision-Making in Industrial Flotation Process by Collaborating Multiple Flotation Cells. - Chenliang Liu; Yalin Wang 003; Yijing Fang; Kai Wang 024 (IECON, 2023)

Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes. - Yiyin Tang; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024; Chunhua Yang 001 (Eng. Appl. Artif. Intell., 2023)

Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder. - Zhuofu Pan; Yalin Wang 003; Kai Wang 024; Hongtian Chen; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Cybern., 2023)

Domain adaptation for few-sample nonlinear process monitoring with deep networks. - Yalin Wang 003; Hansheng Wu; Chenliang Liu; Kai Wang 024; Xiaofeng Yuan (Inf. Sci., 2023)

Semi-supervised deep embedded clustering with pairwise constraints and subset allocation. - Yalin Wang 003; Jiangfeng Zou; Kai Wang 024; Chenliang Liu; Xiaofeng Yuan (Neural Networks, 2023)

Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection. - Kai Wang 024; Caoyin Yan; Yanfang Mo; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001 (IEEE Trans. Ind. Informatics, 2023)

Wasserstein Distance Based Domain Adversarial Autoencoder for Industrial Few-sample Fault Detection. - Ruiyi Fang; Kai Wang 024; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001 (ASCC, 2024)

A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion. - Kai Wang 024; Daojie He; Qingqiang Sun; Lizhi Yi; Xiaofeng Yuan; Yalin Wang 003 (Appl. Soft Comput., 2024)

Machine learning for industrial sensing and control: A survey and practical perspective. - Nathan P. Lawrence; Seshu Kumar Damarla; Jong Woo Kim; Aditya Tulsyan; Faraz Amjad; Kai Wang 024; Benoît Chachuat; Jong Min Lee 002; Biao Huang 001; R. Bhushan Gopaluni (CoRR, 2024)

A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications. - Yalin Wang 003; Rao Dai; Diju Liu; Kai Wang 024; Xiaofeng Yuan; Chenliang Liu (Eng. Appl. Artif. Intell., 2024)

Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder. - Kai Wang 024; Caoyin Yan; Yanfang Mo; Yalin Wang 003; Xiaofeng Yuan; Chenliang Liu (Eng. Appl. Artif. Intell., 2024)

Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes. - Yitao Chen; Yalin Wang 003; Qingkai Sui; Xiaofeng Yuan; Kai Wang 024; Chenliang Liu (Expert Syst. Appl., 2024)

Spiking autoencoder for nonlinear industrial process fault detection. - Bochun Yue; Kai Wang 024; Hongqiu Zhu; Xiaofeng Yuan; Chunhua Yang 001 (Inf. Sci., 2024)

Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. - Xiaofeng Yuan; Yichen Wang; Chen Wang 018; Lingjian Ye; Kai Wang 024; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Feifan Shen (IEEE Trans. Instrum. Meas., 2024)

Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network. - Yalin Wang 003; Qingkai Sui; Chenliang Liu; Kai Wang 024; Xiaofeng Yuan; Guangfeng Dong (IEEE Trans. Artif. Intell., 2024)

Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process. - Yalin Wang 003; Silong Li; Chenliang Liu; Kai Wang 024; Xiaofeng Yuan; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Cybern., 2024)

Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework. - Diju Liu; Yalin Wang 003; Chenliang Liu; Kai Wang 024; Xiaofeng Yuan; Chunhua Yang 001 (IEEE Trans Autom. Sci. Eng., 2024)

Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry. - Xiaofeng Yuan; Nuo Xu; Lingjian Ye; Kai Wang 024; Feifan Shen; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2024)

Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. - Xiaofeng Yuan; Lingfeng Huang; Lingjian Ye; Yalin Wang 003; Kai Wang 024; Chunhua Yang 001; Weihua Gui 001; Feifan Shen (IEEE Trans. Cybern., 2024)

Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems. - Kai Wang 024; Zhiying Guo; Yanfang Mo; Yalin Wang 003; Xiaofeng Yuan (IEEE Trans Autom. Sci. Eng., 2024)

Historical Information-Aided Monitoring of Few-Sample Modes in Industrial Processes With Orthogonal Transferred Projection. - Kai Wang 024; Xiang Lei; Wenxuan Zhou; Saige Cheng; Jing Li 009 (IEEE Trans. Ind. Informatics, 2024)

Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer. - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024; Chunhua Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Interdependence-Adaptive Mutual Information Maximization for Graph Contrastive Learning. - Qingqiang Sun; Kai Wang 024; Wenjie Zhang 001; Peng Cheng 003; Xuemin Lin 001 (IEEE Trans. Knowl. Data Eng., 2024)

Reinforcement learning control for systems with unknown coupling induced by the compensator. - Saige Cheng; Yonggang Li; Kai Wang 024; Chunhua Yang 001 (Adv. Eng. Informatics, 2025)

Multi-step difference-driven domain adversarial network for few-sample fault detection in dynamic industrial systems. - Ruiyi Fang; Kai Wang 024; Xiaofeng Yuan; Zeyu Yang; Yalin Wang 003; Chunhua Yang 001 (Eng. Appl. Artif. Intell., 2025)

Worst-case robust optimization based on an adaptive incremental Kriging metamodel. - Jie Han 004; Yuxuan Zheng; Kai Wang 024; Chunhua Yang 001; Xin Yuan 008 (Expert Syst. Appl., 2025)

A knowledge and data augmentation-based method for combustion state recognition in cogeneration systems. - Zhifei Sun; Defeng He; Xiuli Wang; Wei Zhu; Hongtian Chen; Kai Wang 024 (Expert Syst. Appl., 2025)

Rectifying Systematical Measurement Error Through Majority Pattern Mining and Semi-Supervised Prediction for Industrial Instrument. - Saige Cheng; Yonggang Li; Kai Wang 024; Chunhua Yang 001 (IEEE Trans Autom. Sci. Eng., 2025)

Asynchronous Multi-Agent Collaborative Framework for Integrated Production and Procurement Optimization in Refinery. - Ya Liu; Bo Chen; Kai Wang 024; Fei Qiao; Hanli Wang (IEEE Trans Autom. Sci. Eng., 2025)

A Difference Metric Attention With Position Distance-Based Weighting for Transformer in Data Sequence Modeling of Industrial Processes. - Ziyi Yang; Kai Wang 024; Lingjian Ye; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2025)

A Domain-Knowledge Embedded Framework for Soft Sensing in Complex Industrial Processes With Cascading Equipment. - Bochun Yue; Kai Wang 024; Hongqiu Zhu; Chunhua Yang 001 (IEEE Trans. Ind. Informatics, 2025)

Dynamic optimal decision-making for scaling cleaning in the sodium aluminate solution evaporation process. - Liang Zhu; Jie Han 004; Zhuo Zhao; Yishun Liu; Kai Wang 024; Chunhua Yang 001 (Appl. Intell., 2025)

Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application. - Qingkai Sui; Yalin Wang 003; Chenliang Liu; Kai Wang 024; Bei Sun (IEEE Trans. Ind. Informatics, 2025)

Gaussian-based Interval-Aware Transformer With Interval Embedding for Data Sequence Modeling With Irregular Sampling Frequency in Industrial Processes. - Ziyi Yang; Kai Wang 024; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Lingjian Ye; Feifan Shen (IEEE Trans. Ind. Informatics, 2025)

Performance-Driven Distillation and Confident Pseudo Labeling for Semi-Supervised Industrial Soft-Sensor Application. - Bochun Yue; Kai Wang 024; Hongqiu Zhu; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Cybern., 2025)