Kai Wang - RankMe

65 papers B 1C 3Journal 58Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Concurrent historical data clustering and common feature learning for new-mode zero-shot industrial anomaly detection. Eng. Appl. Artif. Intell. Kai Wang, Xin Yuan, Xun Lang, Xiaofeng Yuan, Jie Han, Yalin Wang
2025	J	`jnl`	A Difference Metric Attention With Position Distance-Based Weighting for Transformer in Data Sequence Modeling of Industrial Processes. IEEE Trans. Ind. Informatics Ziyi Yang, Kai Wang, Lingjian Ye, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui
2025	J	`jnl`	A Domain-Knowledge Embedded Framework for Soft Sensing in Complex Industrial Processes With Cascading Equipment. IEEE Trans. Ind. Informatics Bochun Yue, Kai Wang, Hongqiu Zhu, Chunhua Yang
2025	J	`jnl`	A knowledge and data augmentation-based method for combustion state recognition in cogeneration systems. Expert Syst. Appl. Zhifei Sun, Defeng He, Xiuli Wang, Wei Zhu, Hongtian Chen, Kai Wang
2025	J	`jnl`	A sampling interval-adaptive transformer for industrial time sequence modeling with heterogeneou s sampling rates in quality prediction. Eng. Appl. Artif. Intell. Zijian Xu, Nuo Xu, Kai Wang, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui, Shuqiao Cheng, Lingjian Ye
2025	J	`jnl`	Asynchronous Multi-Agent Collaborative Framework for Integrated Production and Procurement Optimization in Refinery. IEEE Trans Autom. Sci. Eng. Ya Liu, Bo Chen, Kai Wang, Fei Qiao, Hanli Wang
2025	J	`jnl`	Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application. IEEE Trans. Ind. Informatics Qingkai Sui, Yalin Wang, Chenliang Liu, Kai Wang, Bei Sun
2025	J	`jnl`	Boosting industrial anomaly detection performance using generated artificial fault data. Eng. Appl. Artif. Intell. Kai Wang, Jiayi Zhang, Yishun Liu, Jie Han, Xiaofeng Yuan, Le Zhou
2025	J	`jnl`	Dynamic optimal decision-making for scaling cleaning in the sodium aluminate solution evaporation process. Appl. Intell. Liang Zhu, Jie Han, Zhuo Zhao, Yishun Liu, Kai Wang, Chunhua Yang
2025	J	`jnl`	Gaussian-based Interval-Aware Transformer With Interval Embedding for Data Sequence Modeling With Irregular Sampling Frequency in Industrial Processes. IEEE Trans. Ind. Informatics Ziyi Yang, Kai Wang, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui, Lingjian Ye, Feifan Shen
2025	J	`jnl`	Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences. IEEE Trans. Neural Networks Learn. Syst. Xiaofeng Yuan, Zhenzhen Jia, Zijian Xu, Nuo Xu, Lingjian Ye, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen
2025	J	`jnl`	Multi-step difference-driven domain adversarial network for few-sample fault detection in dynamic industrial systems. Eng. Appl. Artif. Intell. Ruiyi Fang, Kai Wang, Xiaofeng Yuan, Zeyu Yang, Yalin Wang, Chunhua Yang
2025	J	`jnl`	Performance-Driven Distillation and Confident Pseudo Labeling for Semi-Supervised Industrial Soft-Sensor Application. IEEE Trans. Cybern. Bochun Yue, Kai Wang, Hongqiu Zhu, Chunhua Yang, Weihua Gui
2025	J	`jnl`	Rectifying Systematical Measurement Error Through Majority Pattern Mining and Semi-Supervised Prediction for Industrial Instrument. IEEE Trans Autom. Sci. Eng. Saige Cheng, Yonggang Li, Kai Wang, Chunhua Yang
2025	J	`jnl`	Reinforcement learning control for systems with unknown coupling induced by the compensator. Adv. Eng. Informatics Saige Cheng, Yonggang Li, Kai Wang, Chunhua Yang
2025	J	`jnl`	Worst-case robust optimization based on an adaptive incremental Kriging metamodel. Expert Syst. Appl. Jie Han, Yuxuan Zheng, Kai Wang, Chunhua Yang, Xin Yuan
2024	J	`jnl`	A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion. Appl. Soft Comput. Kai Wang, Daojie He, Qingqiang Sun, Lizhi Yi, Xiaofeng Yuan, Yalin Wang
2024	J	`jnl`	A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications. Eng. Appl. Artif. Intell. Yalin Wang, Rao Dai, Diju Liu, Kai Wang, Xiaofeng Yuan, Chenliang Liu
2024	J	`jnl`	Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder. Eng. Appl. Artif. Intell. Kai Wang, Caoyin Yan, Yanfang Mo, Yalin Wang, Xiaofeng Yuan, Chenliang Liu
2024	J	`jnl`	Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry. IEEE Trans. Ind. Informatics Xiaofeng Yuan, Nuo Xu, Lingjian Ye, Kai Wang, Feifan Shen, Yalin Wang, Chunhua Yang, Weihua Gui
2024	J	`jnl`	Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework. IEEE Trans Autom. Sci. Eng. Diju Liu, Yalin Wang, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang
2024	J	`jnl`	Historical Information-Aided Monitoring of Few-Sample Modes in Industrial Processes With Orthogonal Transferred Projection. IEEE Trans. Ind. Informatics Kai Wang, Xiang Lei, Wenxuan Zhou, Saige Cheng, Jing Li
2024	J	`jnl`	Interdependence-Adaptive Mutual Information Maximization for Graph Contrastive Learning. IEEE Trans. Knowl. Data Eng. Qingqiang Sun, Kai Wang, Wenjie Zhang, Peng Cheng, Xuemin Lin
2024	J	`jnl`	Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network. IEEE Trans. Artif. Intell. Yalin Wang, Qingkai Sui, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Guangfeng Dong
2024	J	`jnl`	Machine learning for industrial sensing and control: A survey and practical perspective. CoRR 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
2024	J	`jnl`	Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems. IEEE Trans Autom. Sci. Eng. Kai Wang, Zhiying Guo, Yanfang Mo, Yalin Wang, Xiaofeng Yuan
2024	J	`jnl`	Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process. IEEE Trans. Cybern. Yalin Wang, Silong Li, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
2024	J	`jnl`	Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. IEEE Trans. Cybern. Xiaofeng Yuan, Lingfeng Huang, Lingjian Ye, Yalin Wang, Kai Wang, Chunhua Yang, Weihua Gui, Feifan Shen
2024	J	`jnl`	Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes. Expert Syst. Appl. Yitao Chen, Yalin Wang, Qingkai Sui, Xiaofeng Yuan, Kai Wang, Chenliang Liu
2024	J	`jnl`	Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer. IEEE Trans. Knowl. Data Eng. Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2024	J	`jnl`	Spiking autoencoder for nonlinear industrial process fault detection. Inf. Sci. Bochun Yue, Kai Wang, Hongqiu Zhu, Xiaofeng Yuan, Chunhua Yang
2024	J	`jnl`	Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. IEEE Trans. Instrum. Meas. Xiaofeng Yuan, Yichen Wang, Chen Wang, Lingjian Ye, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen
2024	—	`conf`	Wasserstein Distance Based Domain Adversarial Autoencoder for Industrial Few-sample Fault Detection. ASCC Ruiyi Fang, Kai Wang, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
2023	C	`conf`	Communication and Self-Learning Strategies Incorporated State Transition Algorithm for Optimization of Complex Systems. SAFEPROCESS Xujie Tan, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang
2023	J	`jnl`	Domain adaptation for few-sample nonlinear process monitoring with deep networks. Inf. Sci. Yalin Wang, Hansheng Wu, Chenliang Liu, Kai Wang, Xiaofeng Yuan
2023	J	`jnl`	Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder. IEEE Trans. Cybern. Zhuofu Pan, Yalin Wang, Kai Wang, Hongtian Chen, Chunhua Yang, Weihua Gui
2023	J	`jnl`	Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection. IEEE Trans. Ind. Informatics Kai Wang, Caoyin Yan, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
2023	C	`conf`	Promoting Decision-Making in Industrial Flotation Process by Collaborating Multiple Flotation Cells. IECON Chenliang Liu, Yalin Wang, Yijing Fang, Kai Wang
2023	J	`jnl`	Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes. Eng. Appl. Artif. Intell. Yiyin Tang, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2023	J	`jnl`	Semi-supervised deep embedded clustering with pairwise constraints and subset allocation. Neural Networks Yalin Wang, Jiangfeng Zou, Kai Wang, Chenliang Liu, Xiaofeng Yuan
2022	J	`jnl`	A Monitoring Method Based on FDALM and Its Application in the Sintering Process of Ternary Cathode Material. Sensors Ning Chen, Fuhai Hu, Jiayao Chen, Kai Wang, Chunhua Yang, Weihua Gui
2022	C	`conf`	A multi-source transfer learning method for new mode monitoring in industrial processes. CoDIT Kai Wang, Wenxuan Zhou, Chenliang Liu, Xiaofeng Yuan, Yalin Wang
2022	J	`jnl`	A reduced nonstationary discrete convolution kernel for multimode process monitoring. Int. J. Mach. Learn. Cybern. Kai Wang, Caoyin Yan, Xiaofeng Yuan, Yalin Wang, Chenliang Liu
2022	J	`jnl`	Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. Kai Wang, Junghui Chen, Zhihuan Song, Yalin Wang, Chunhua Yang
2022	J	`jnl`	Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling. Adv. Eng. Informatics Yalin Wang, Diju Liu, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2022	J	`jnl`	Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction. IEEE Trans. Instrum. Meas. Yalin Wang, Jiang Luo, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2022	J	`jnl`	Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application. IEEE Trans. Ind. Informatics Chenliang Liu, Kai Wang, Yalin Wang, Xiaofeng Yuan
2022	J	`jnl`	New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer. Knowl. Based Syst. Kai Wang, Wenxuan Zhou, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
2022	J	`jnl`	Online reconstruction and diagnosibility analysis of multiplicative fault models for process-related faults. J. Frankl. Inst. Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan
2021	—	`conf`	A fault reconstruction strategy for fault diagnosis of state-related multiplicative faults. CAA SAFEPROCESS Kai Wang, Zhiying Guo, Yalin Wang
2021	J	`jnl`	An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties. Comput. Chem. Eng. Yalin Wang, Ling Li, Kai Wang
2021	J	`jnl`	Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network. Eng. Appl. Artif. Intell. Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan, Chunhua Yang
2021	J	`jnl`	Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes. IEEE Trans. Instrum. Meas. Xiaofeng Yuan, Lu Feng, Kai Wang, Yalin Wang, Lingjian Ye
2021	J	`jnl`	Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE. IEEE Trans. Instrum. Meas. Chenliang Liu, Kai Wang, Yalin Wang, Shengli Xie, Chunhua Yang
2021	J	`jnl`	Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process. Inf. Sci. Chenliang Liu, Kai Wang, Lingjian Ye, Yalin Wang, Xiaofeng Yuan
2021	J	`jnl`	Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes. Eng. Appl. Artif. Intell. Chenliang Liu, Yalin Wang, Kai Wang, Xiaofeng Yuan
2021	B	`conf`	Quality-Sensitive Feature Extraction for End Product Quality Prediction in Injection Molding Processes. Big Data (CCF) Fangyang Liu, Yalin Wang, Kai Wang
2021	J	`jnl`	Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. Neural Networks Kai Wang, Xiaofeng Yuan, Junghui Chen, Yalin Wang
2020	J	`jnl`	Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction. IEEE Trans. Ind. Informatics Kai Wang, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
2019	J	`jnl`	Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems With Measured Disturbances. IEEE Trans Autom. Sci. Eng. Kai Wang, Junghui Chen, Zhihuan Song
2019	—	`conf`	Fault Detection Based on Variational Autoencoders for Complex Nonlinear Processes. ASCC Kai Wang, Junghui Chen, Zhihuan Song
2019	J	`jnl`	Performance Analysis of Dynamic PCA for Closed-Loop Process Monitoring and Its Improvement by Output Oversampling Scheme. IEEE Trans. Control. Syst. Technol. Kai Wang, Junghui Chen, Zhihuan Song
2019	J	`jnl`	Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes. IEEE Access Kai Wang, Michael G. Forbes, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
2018	J	`jnl`	A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method. J. Frankl. Inst. Kai Wang, Junghui Chen, Zhihuan Song
2018	J	`jnl`	Fault diagnosis for processes with feedback control loops by shifted output sampling approach. J. Frankl. Inst. Kai Wang, Junghui Chen, Zhihuan Song