Kai Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 45

Top Topics

Industrial Processes

Quality Prediction

Top Venues

Eng. Appl. Artif. Intell.

IEEE Trans. Ind. Informatics

IEEE Trans. Instrum. Meas.

IEEE Trans Autom. Sci. Eng.

Publications

Yalin Wang, Qingkai Sui, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Guangfeng Dong
Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network. IEEE Trans. Artif. Intell. 5 (1) (2024)
Kai Wang, Daojie He, Qingqiang Sun, Lizhi Yi, Xiaofeng Yuan, Yalin Wang
A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion. Appl. Soft Comput. 158 (2024)
Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, Aditya Tulsyan, Faraz Amjad, Kai Wang, Benoît Chachuat, Jong Min Lee, Biao Huang, R. Bhushan Gopaluni
Machine learning for industrial sensing and control: A survey and practical perspective. CoRR (2024)
Xiaofeng Yuan, Lingfeng Huang, Lingjian Ye, Yalin Wang, Kai Wang, Chunhua Yang, Weihua Gui, Feifan Shen
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. IEEE Trans. Cybern. 54 (5) (2024)
Yalin Wang, Rao Dai, Diju Liu, Kai Wang, Xiaofeng Yuan, Chenliang Liu
A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications. Eng. Appl. Artif. Intell. 133 (2024)
Xiaofeng Yuan, Nuo Xu, Lingjian Ye, Kai Wang, Feifan Shen, Yalin Wang, Chunhua Yang, Weihua Gui
Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry. IEEE Trans. Ind. Informatics 20 (4) (2024)
Bochun Yue, Kai Wang, Hongqiu Zhu, Xiaofeng Yuan, Chunhua Yang
Spiking autoencoder for nonlinear industrial process fault detection. Inf. Sci. 665 (2024)
Kai Wang, Zhiying Guo, Yanfang Mo, Yalin Wang, Xiaofeng Yuan
Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Yalin Wang, Silong Li, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process. IEEE Trans. Cybern. 54 (2) (2024)
Xiaofeng Yuan, Yichen Wang, Chen Wang, Lingjian Ye, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen
Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. IEEE Trans. Instrum. Meas. 73 (2024)
Diju Liu, Yalin Wang, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang
Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework. IEEE Trans Autom. Sci. Eng. 21 (2) (2024)
Kai Wang, Caoyin Yan, Yanfang Mo, Yalin Wang, Xiaofeng Yuan, Chenliang Liu
Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder. Eng. Appl. Artif. Intell. 131 (2024)
Kai Wang, Xiang Lei, Wenxuan Zhou, Saige Cheng, Jing Li
Historical Information-Aided Monitoring of Few-Sample Modes in Industrial Processes With Orthogonal Transferred Projection. IEEE Trans. Ind. Informatics 20 (8) (2024)
Yitao Chen, Yalin Wang, Qingkai Sui, Xiaofeng Yuan, Kai Wang, Chenliang Liu
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes. Expert Syst. Appl. 245 (2024)
Zhuofu Pan, Yalin Wang, Kai Wang, Hongtian Chen, Chunhua Yang, Weihua Gui
Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder. IEEE Trans. Cybern. 53 (2) (2023)
Yiyin Tang, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Yalin Wang, Jiangfeng Zou, Kai Wang, Chenliang Liu, Xiaofeng Yuan
Semi-supervised deep embedded clustering with pairwise constraints and subset allocation. Neural Networks 164 (2023)
Xujie Tan, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang
Communication and Self-Learning Strategies Incorporated State Transition Algorithm for Optimization of Complex Systems. SAFEPROCESS (2023)
Yalin Wang, Hansheng Wu, Chenliang Liu, Kai Wang, Xiaofeng Yuan
Domain adaptation for few-sample nonlinear process monitoring with deep networks. Inf. Sci. 629 (2023)
Kai Wang, Caoyin Yan, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection. IEEE Trans. Ind. Informatics 19 (7) (2023)
Yalin Wang, Jiang Luo, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction. IEEE Trans. Instrum. Meas. 71 (2022)
Kai Wang, Junghui Chen, Zhihuan Song, Yalin Wang, Chunhua Yang
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan
Online reconstruction and diagnosibility analysis of multiplicative fault models for process-related faults. J. Frankl. Inst. 359 (7) (2022)
Chenliang Liu, Kai Wang, Yalin Wang, Xiaofeng Yuan
Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application. IEEE Trans. Ind. Informatics 18 (9) (2022)
Yalin Wang, Diju Liu, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling. Adv. Eng. Informatics 52 (2022)
Kai Wang, Caoyin Yan, Xiaofeng Yuan, Yalin Wang, Chenliang Liu
A reduced nonstationary discrete convolution kernel for multimode process monitoring. Int. J. Mach. Learn. Cybern. 13 (12) (2022)
Kai Wang, Wenxuan Zhou, Chenliang Liu, Xiaofeng Yuan, Yalin Wang
A multi-source transfer learning method for new mode monitoring in industrial processes. CoDIT (2022)
Kai Wang, Wenxuan Zhou, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer. Knowl. Based Syst. 248 (2022)
Ning Chen, Fuhai Hu, Jiayao Chen, Kai Wang, Chunhua Yang, Weihua Gui
A Monitoring Method Based on FDALM and Its Application in the Sintering Process of Ternary Cathode Material. Sensors 22 (19) (2022)
Yalin Wang, Ling Li, Kai Wang
An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties. Comput. Chem. Eng. 144 (2021)
Xiaofeng Yuan, Lu Feng, Kai Wang, Yalin Wang, Lingjian Ye
Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes. IEEE Trans. Instrum. Meas. 70 (2021)
Chenliang Liu, Yalin Wang, Kai Wang, Xiaofeng Yuan
Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes. Eng. Appl. Artif. Intell. 104 (2021)
Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan, Chunhua Yang
Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network. Eng. Appl. Artif. Intell. 104 (2021)
Chenliang Liu, Kai Wang, Yalin Wang, Shengli Xie, Chunhua Yang
Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE. IEEE Trans. Instrum. Meas. 70 (2021)
Kai Wang, Xiaofeng Yuan, Junghui Chen, Yalin Wang
Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. Neural Networks 136 (2021)
Chenliang Liu, Kai Wang, Lingjian Ye, Yalin Wang, Xiaofeng Yuan
Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process. Inf. Sci. 567 (2021)
Kai Wang, Zhiying Guo, Yalin Wang
A fault reconstruction strategy for fault diagnosis of state-related multiplicative faults. CAA SAFEPROCESS (2021)
Fangyang Liu, Yalin Wang, Kai Wang
Quality-Sensitive Feature Extraction for End Product Quality Prediction in Injection Molding Processes. Big Data (CCF) (2021)
Kai Wang, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction. IEEE Trans. Ind. Informatics 16 (12) (2020)
Kai Wang, Michael G. Forbes, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes. IEEE Access 7 (2019)
Kai Wang, Junghui Chen, Zhihuan Song
Fault Detection Based on Variational Autoencoders for Complex Nonlinear Processes. ASCC (2019)
Kai Wang, Junghui Chen, Zhihuan Song
Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems With Measured Disturbances. IEEE Trans Autom. Sci. Eng. 16 (3) (2019)
Kai Wang, Junghui Chen, Zhihuan Song
Performance Analysis of Dynamic PCA for Closed-Loop Process Monitoring and Its Improvement by Output Oversampling Scheme. IEEE Trans. Control. Syst. Technol. 27 (1) (2019)
Kai Wang, Junghui Chen, Zhihuan Song
Fault diagnosis for processes with feedback control loops by shifted output sampling approach. J. Frankl. Inst. 355 (7) (2018)
Kai Wang, Junghui Chen, Zhihuan Song
A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method. J. Frankl. Inst. 355 (14) (2018)