Improvement on the Constrained Association Rule Mining Algorithm of Separate. - Xiaofeng Yuan; Hualong Xu; Shuhong Chen (ICDIM, 2006)

A Fast Algorithm for the Quasi-Synchronous Window. - Xiaofeng Yuan; Shuhong Chen; Hualong Xu; Zhi-Jie Zhou (ICICIC (2), 2006)

FDUQA on TREC 2006 QA Track. - Yaqian Zhou 001; Xiaofeng Yuan; Junkuo Cao; Xuanjing Huang 001; Lide Wu (TREC, 2006)

Study on Discretization in Rough Set Via Modified Quantum Genetic Algorithm. - Shuhong Chen; Xiaofeng Yuan (ICIC (2), 2008)

An Approach for Extrapolating Far Field Radar Cross-Section from Near Field Measurement. - Chao Gao; Xiaofeng Yuan; Yang Bai (GreenCom/iThings/CPScom, 2013)

A soft-sensor for estimating copper quality by image analysis technology. - Xiaofeng Yuan; Hongwei Zhang; Zhihuan Song (ICCA, 2013)

Retrofit self-optimizing control of Tennessee Eastman process. - Lingjian Ye; Yi Cao; Xiaofeng Yuan; Zhihuan Song (ICIT, 2016)

面向推荐系统数据安全的无证书门限解密方案 (Certificateless Threshold Decryption Scheme for Data Security of Recommendation System). - Jun Zhu; Xiaofeng Yuan; Zhinan Gou; Yi Yang 022 (计算机科学, 2017)

A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data. - Xiaofeng Yuan; Zhiqiang Ge; Biao Huang 001; Zhihuan Song (IEEE Trans. Control. Syst. Technol., 2017)

Retrofit Self-Optimizing Control: A Step Forward Toward Real Implementation. - Lingjian Ye; Yi Cao; Xiaofeng Yuan; Zhihuan Song (IEEE Trans. Ind. Electron., 2017)

Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR. - Xiaofeng Yuan; Zhiqiang Ge; Biao Huang 001; Zhihuan Song; Yalin Wang 003 (IEEE Trans. Ind. Informatics, 2017)

Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression. - Xiaofeng Yuan; Zhiqiang Ge; Zhihuan Song; Yalin Wang 003; Chunhua Yang 001; Hongwei Zhang (IEEE Trans. Instrum. Meas., 2017)

Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling. - Xiaofeng Yuan; Chen Ou; Yalin Wang 003; Chunhua Yang 001 (IECON, 2018)

On the curve and impedance-wall improvement of quad-ridged horn in the application of compact range simulation. - Jingxuan Yang; Xin Hou; Xiaofeng Yuan (IIKI, 2018)

A Novel Sliding Window PCA-IPF Based Steady-State Detection Framework and Its Industrial Application. - Yalin Wang 003; Kenan Sun; Xiaofeng Yuan; Yue Cao 004; Ling Li; Heikki N. Koivo (IEEE Access, 2018)

Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression. - Xiaofeng Yuan; Zhiwen Chen 001; Yalin Wang 003 (IEEE Access, 2018)

A fuzzy clustering-based denoising model for evaluating uncertainty in collaborative filtering recommender systems. - Jun Zhu; Lixin Han; Zhinan Gou; Xiaofeng Yuan (J. Assoc. Inf. Sci. Technol., 2018)

Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion. - Yalin Wang 003; Haibing Xia; Xiaofeng Yuan; Ling Li; Bei Sun (Multim. Tools Appl., 2018)

Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes. - Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Zhiqiang Ge; Zhihuan Song; Weihua Gui 001 (IEEE Trans. Ind. Electron., 2018)

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE. - Xiaofeng Yuan; Biao Huang 001; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2018)

Temperature Prediction Model for Roller Kiln by ALD-Based Double Locally Weighted Kernel Principal Component Regression. - Ning Chen 009; Jiayang Dai; Xiaofeng Yuan; Weihua Gui 001; Wenting Ren; Heikki N. Koivo (IEEE Trans. Instrum. Meas., 2018)

A correction method for the proportion of key components in basic HYSYS library based on an improved squirrel search algorithm. - Yalin Wang 003; Dandan Shang; Xiaofeng Yuan (ASCC, 2019)

Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process. - Xiaofeng Yuan; Jiao Zhou; Yalin Wang 003; Chunhua Yang 001 (ASCC, 2019)

Singular value decomposition based recommendation using imputed data. - Xiaofeng Yuan; Lixin Han; Subin Qian; Guoxia Xu; Hong Yan 001 (Knowl. Based Syst., 2019)

LDA-based deep transfer learning for fault diagnosis in industrial chemical processes. - Yalin Wang 003; Dongzhe Wu; Xiaofeng Yuan (Comput. Chem. Eng., 2020)

Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE. - Xiaofeng Yuan; Chen Ou; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (Neurocomputing, 2020)

Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit. - Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (Inf. Sci., 2020)

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network. - Xiaofeng Yuan; Lin Li 043; Yalin Wang 003 (IEEE Trans. Ind. Informatics, 2020)

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy. - Xiaofeng Yuan; Jiao Zhou; Biao Huang 001; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2020)

Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable. - Xiaofeng Yuan; Shuaibin Qi; Yalin Wang 003 (IEEE Trans. Instrum. Meas., 2020)

A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes. - Xiaofeng Yuan; Yongjie Gu; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

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)

A robust personalized location recommendation based on ensemble learning. - Jun Zhu; Lixin Han; Zhinan Gou; Yi Yang 022; Xiaofeng Yuan; Jingxian Li; Shu Li (Expert Syst. Appl., 2021)

Preliminary data-based matrix factorization approach for recommendation. - Xiaofeng Yuan; Lixin Han; Subin Qian; Licai Zhu; Jun Zhu; Hong Yan 001 (Inf. Process. Manag., 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)

A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes. - Zhuofu Pan; Yalin Wang 003; Xiaofeng Yuan; Chunhua Yang 001; Weihua Gui 001 (Knowl. Based Syst., 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 Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development. - Xiaofeng Yuan; Lin Li 043; Yuri A. W. Shardt; Yalin Wang 003; Chunhua Yang 001 (IEEE Trans. Ind. Electron., 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)

Supervised Deep Belief Network for Quality Prediction in Industrial Processes. - Xiaofeng Yuan; Yongjie Gu; Yalin Wang 003 (IEEE Trans. Instrum. Meas., 2021)

A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process. - Xiaofeng Yuan; Chen Ou; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 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)

Combined angular margin and cosine margin softmax loss for music classification based on spectrograms. - Jingxian Li; Lixin Han; Yang Wang; Baohua Yuan; Xiaofeng Yuan; Yi Yang 022; Hong Yan 001 (Neural Comput. Appl., 2022)

Row and Column Structure-Based Biclustering for Gene Expression Data. - Subin Qian; Huiyi Liu; Xiaofeng Yuan; Wei Wei 056; Shuangshuang Chen; Hong Yan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 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)

A Comparative Study of Deep Neural Network-Aided Canonical Correlation Analysis-Based Process Monitoring and Fault Detection Methods. - Zhiwen Chen 001; Ketian Liang; Steven X. Ding; Chao Yang 017; Tao Peng 010; Xiaofeng Yuan (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)

Oriented Classroom Instructional Behavior Recognition Benchmark. - Muxin Xu; Yingshan Shen; Sizhu Wang; Xiaofeng Yuan (SETE (1), 2023)

H-BLS: a hierarchical broad learning system with deep and sparse feature learning. - Wei Guo 037; Shuangshuang Chen; Xiaofeng Yuan (Appl. Intell., 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)

Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes. - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 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)

Correction to: H-BLS: a hierarchical broad learning system with deep and sparse feature learning. - Wei Guo 037; Shuangshuang Chen; Xiaofeng Yuan (Appl. Intell., 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)

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)

Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes. - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Chunhua Yang 001 (IEEE Trans. Instrum. Meas., 2024)

Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes. - Chen Ou; Hongqiu Zhu; Yuri A. W. Shardt; Lingjian Ye; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 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)

A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process. - Xiaofeng Yuan; Weiwei Xu; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE CAA J. Autom. Sinica, 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)

Design of enhanced two-dimensional self-optimizing control system for batch process. - Lingjian Ye; Zeyu Yang; Feifan Shen; Xiaofeng Yuan (Comput. Chem. Eng., 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)

Semantic segmentation model based on edge information for rock structural surface traces detection. - Xiaofeng Yuan; Dun Wu; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Shuqiao Cheng; Lingjian Ye; Feifan Shen (Eng. Appl. Artif. Intell., 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)

Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors. - Chen Ou; Hongqiu Zhu; Yuri A. W. Shardt; Lingjian Ye; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Corrections to "Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes". - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Chunhua Yang 001; Weihua Gui 001 (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)

Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences. - Xiaofeng Yuan; Zhenzhen Jia; Zijian Xu 011; Nuo Xu; Lingjian Ye; Kai Wang 024; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Feifan Shen (IEEE Trans. Neural Networks Learn. Syst., 2025)