Xiaofeng Yuan

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 69

Top Topics

Industrial Process

Quality Prediction

Top Venues

IEEE Trans. Instrum. Meas.

IEEE Trans. Ind. Informatics

Eng. Appl. Artif. Intell.

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)
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)
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang
Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes. IEEE Trans. Instrum. Meas. 73 (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)
Xiaofeng Yuan, Weiwei Xu, Yalin Wang, Chunhua Yang, Weihua Gui
A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process. IEEE CAA J. Autom. Sinica 11 (8) (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)
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)
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)
Wei Guo, Shuangshuang Chen, Xiaofeng Yuan
Correction to: H-BLS: a hierarchical broad learning system with deep and sparse feature learning. Appl. Intell. 53 (23) (2023)
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes. IEEE Trans. Ind. Informatics 19 (9) (2023)
Wei Guo, Shuangshuang Chen, Xiaofeng Yuan
H-BLS: a hierarchical broad learning system with deep and sparse feature learning. Appl. Intell. 53 (1) (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)
Muxin Xu, Yingshan Shen, Sizhu Wang, Xiaofeng Yuan
Oriented Classroom Instructional Behavior Recognition Benchmark. SETE (1) (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)
Subin Qian, Huiyi Liu, Xiaofeng Yuan, Wei Wei, Shuangshuang Chen, Hong Yan
Row and Column Structure-Based Biclustering for Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
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, 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)
Jingxian Li, Lixin Han, Yang Wang, Baohua Yuan, Xiaofeng Yuan, Yi Yang, Hong Yan
Combined angular margin and cosine margin softmax loss for music classification based on spectrograms. Neural Comput. Appl. 34 (13) (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)
Zhiwen Chen, Ketian Liang, Steven X. Ding, Chao Yang, Tao Peng, Xiaofeng Yuan
A Comparative Study of Deep Neural Network-Aided Canonical Correlation Analysis-Based Process Monitoring and Fault Detection Methods. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
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)
Xiaofeng Yuan, Yongjie Gu, Yalin Wang
Supervised Deep Belief Network for Quality Prediction in Industrial Processes. IEEE Trans. Instrum. Meas. 70 (2021)
Zhuofu Pan, Yalin Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes. Knowl. Based Syst. 230 (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)
Xiaofeng Yuan, Lin Li, Yuri A. W. Shardt, Yalin Wang, Chunhua Yang
Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development. IEEE Trans. Ind. Electron. 68 (5) (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)
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang, Weihua Gui
A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Xiaofeng Yuan, Lixin Han, Subin Qian, Licai Zhu, Jun Zhu, Hong Yan
Preliminary data-based matrix factorization approach for recommendation. Inf. Process. Manag. 58 (1) (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)
Jun Zhu, Lixin Han, Zhinan Gou, Yi Yang, Xiaofeng Yuan, Jingxian Li, Shu Li
A robust personalized location recommendation based on ensemble learning. Expert Syst. Appl. 167 (2021)
Xiaofeng Yuan, Yongjie Gu, Yalin Wang, Chunhua Yang, Weihua Gui
A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Xiaofeng Yuan, Jiao Zhou, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy. IEEE Trans. Ind. Informatics 16 (6) (2020)
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang, Weihua Gui
Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE. Neurocomputing 396 (2020)
Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui
Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit. Inf. Sci. 534 (2020)
Xiaofeng Yuan, Shuaibin Qi, Yalin Wang
Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable. IEEE Trans. Instrum. Meas. 69 (10) (2020)
Xiaofeng Yuan, Lin Li, Yalin Wang
Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network. IEEE Trans. Ind. Informatics 16 (5) (2020)
Yalin Wang, Dongzhe Wu, Xiaofeng Yuan
LDA-based deep transfer learning for fault diagnosis in industrial chemical processes. Comput. Chem. Eng. 140 (2020)
Xiaofeng Yuan, Jiao Zhou, Yalin Wang, Chunhua Yang
Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process. ASCC (2019)
Xiaofeng Yuan, Lixin Han, Subin Qian, Guoxia Xu, Hong Yan
Singular value decomposition based recommendation using imputed data. Knowl. Based Syst. 163 (2019)
Yalin Wang, Dandan Shang, Xiaofeng Yuan
A correction method for the proportion of key components in basic HYSYS library based on an improved squirrel search algorithm. ASCC (2019)
Xiaofeng Yuan, Zhiwen Chen, Yalin Wang
Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression. IEEE Access 6 (2018)
Yalin Wang, Kenan Sun, Xiaofeng Yuan, Yue Cao, Ling Li, Heikki N. Koivo
A Novel Sliding Window PCA-IPF Based Steady-State Detection Framework and Its Industrial Application. IEEE Access 6 (2018)
Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Zhiqiang Ge, Zhihuan Song, Weihua Gui
Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes. IEEE Trans. Ind. Electron. 65 (2) (2018)
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang
Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling. IECON (2018)
Jingxuan Yang, Xin Hou, Xiaofeng Yuan
On the curve and impedance-wall improvement of quad-ridged horn in the application of compact range simulation. IIKI (2018)
Jun Zhu, Lixin Han, Zhinan Gou, Xiaofeng Yuan
A fuzzy clustering-based denoising model for evaluating uncertainty in collaborative filtering recommender systems. J. Assoc. Inf. Sci. Technol. 69 (9) (2018)
Xiaofeng Yuan, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui
Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE. IEEE Trans. Ind. Informatics 14 (7) (2018)
Yalin Wang, Haibing Xia, Xiaofeng Yuan, Ling Li, Bei Sun
Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion. Multim. Tools Appl. 77 (13) (2018)
Ning Chen, Jiayang Dai, Xiaofeng Yuan, Weihua Gui, Wenting Ren, Heikki N. Koivo
Temperature Prediction Model for Roller Kiln by ALD-Based Double Locally Weighted Kernel Principal Component Regression. IEEE Trans. Instrum. Meas. 67 (8) (2018)
Jun Zhu, Xiaofeng Yuan, Zhinan Gou, Yi Yang
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). 计算机科学 44 (11) (2017)
Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song
A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data. IEEE Trans. Control. Syst. Technol. 25 (3) (2017)
Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song
Retrofit Self-Optimizing Control: A Step Forward Toward Real Implementation. IEEE Trans. Ind. Electron. 64 (6) (2017)
Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song, Yalin Wang
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR. IEEE Trans. Ind. Informatics 13 (2) (2017)
Xiaofeng Yuan, Zhiqiang Ge, Zhihuan Song, Yalin Wang, Chunhua Yang, Hongwei Zhang
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression. IEEE Trans. Instrum. Meas. 66 (4) (2017)
Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song
Retrofit self-optimizing control of Tennessee Eastman process. ICIT (2016)
Xiaofeng Yuan, Hongwei Zhang, Zhihuan Song
A soft-sensor for estimating copper quality by image analysis technology. ICCA (2013)
Chao Gao, Xiaofeng Yuan, Yang Bai
An Approach for Extrapolating Far Field Radar Cross-Section from Near Field Measurement. GreenCom/iThings/CPScom (2013)
Shuhong Chen, Xiaofeng Yuan
Study on Discretization in Rough Set Via Modified Quantum Genetic Algorithm. ICIC (2) (2008)
Xiaofeng Yuan, Shuhong Chen, Hualong Xu, Zhi-Jie Zhou
A Fast Algorithm for the Quasi-Synchronous Window. ICICIC (2) (2006)
Yaqian Zhou, Xiaofeng Yuan, Junkuo Cao, Xuanjing Huang, Lide Wu
FDUQA on TREC 2006 QA Track. TREC (2006)
Xiaofeng Yuan, Hualong Xu, Shuhong Chen
Improvement on the Constrained Association Rule Mining Algorithm of Separate. ICDIM (2006)