Xiaofeng Yuan

92 papers C 3Journal 75Unranked 14
YearRankTypeTitle / 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
2026 J jnl
Safe reinforcement learning for optimization of batch processes with uncertainties: A Bayesian predictive exploration approach.
Comput. Chem. Eng.
Jingsheng Qin, Lingjian Ye, Xiaofeng Yuan
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 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
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
Corrections to "Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes".
IEEE Trans. Ind. Informatics
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
2025 J jnl
Design of enhanced two-dimensional self-optimizing control system for batch process.
Comput. Chem. Eng.
Lingjian Ye, Zeyu Yang, Feifan Shen, Xiaofeng Yuan
2025 — conf
ECSR-Net: An Efficient Classroom Speech Recognition Network Based on Convolutional Neural Networks with Mixup Attention.
BDICN
Xiaofeng Yuan, Sizhu Wang, Qi Chen, Weizhong Zhang, Yingshan Shen
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
Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors.
IEEE Trans. Neural Networks Learn. Syst.
Chen Ou, Hongqiu Zhu, Yuri A. W. Shardt, Lingjian Ye, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
2025 — conf
SANet: Multi-scale Dynamic Aggregation for Chinese Handwriting Recognition.
ICDAR (2)
Sizhu Wang, Yingshan Shen, Xiaofeng Yuan
2025 J jnl
Semantic segmentation model based on edge information for rock structural surface traces detection.
Eng. Appl. Artif. Intell.
Xiaofeng Yuan, Dun Wu, Yalin Wang, Chunhua Yang, Weihua Gui, Shuqiao Cheng, Lingjian Ye, Feifan Shen
2024 J jnl
A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process.
IEEE CAA J. Autom. Sinica
Xiaofeng Yuan, Weiwei Xu, Yalin Wang, Chunhua Yang, Weihua Gui
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
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
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
Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes.
IEEE Trans. Instrum. Meas.
Chen Ou, Hongqiu Zhu, Yuri A. W. Shardt, Lingjian Ye, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui
2024 J jnl
Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes.
IEEE Trans. Instrum. Meas.
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang
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
Correction to: H-BLS: a hierarchical broad learning system with deep and sparse feature learning.
Appl. Intell.
Wei Guo, Shuangshuang Chen, Xiaofeng Yuan
2023 J jnl
Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes.
IEEE Trans. Ind. Informatics
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
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
H-BLS: a hierarchical broad learning system with deep and sparse feature learning.
Appl. Intell.
Wei Guo, Shuangshuang Chen, Xiaofeng Yuan
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 — conf
Oriented Classroom Instructional Behavior Recognition Benchmark.
SETE (1)
Muxin Xu, Yingshan Shen, Sizhu Wang, Xiaofeng Yuan
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 Comparative Study of Deep Neural Network-Aided Canonical Correlation Analysis-Based Process Monitoring and Fault Detection Methods.
IEEE Trans. Neural Networks Learn. Syst.
Zhiwen Chen, Ketian Liang, Steven X. Ding, Chao Yang, Tao Peng, Xiaofeng Yuan
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
Combined angular margin and cosine margin softmax loss for music classification based on spectrograms.
Neural Comput. Appl.
Jingxian Li, Lixin Han, Yang Wang, Baohua Yuan, Xiaofeng Yuan, Yi Yang, Hong Yan
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
2022 J jnl
Row and Column Structure-Based Biclustering for Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Subin Qian, Huiyi Liu, Xiaofeng Yuan, Wei Wei, Shuangshuang Chen, Hong Yan
2021 J jnl
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.
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang, Weihua Gui
2021 J jnl
A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes.
Knowl. Based Syst.
Zhuofu Pan, Yalin Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
2021 J jnl
A robust personalized location recommendation based on ensemble learning.
Expert Syst. Appl.
Jun Zhu, Lixin Han, Zhinan Gou, Yi Yang, Xiaofeng Yuan, Jingxian Li, Shu Li
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 With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development.
IEEE Trans. Ind. Electron.
Xiaofeng Yuan, Lin Li, Yuri A. W. Shardt, Yalin Wang, 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 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 J jnl
Preliminary data-based matrix factorization approach for recommendation.
Inf. Process. Manag.
Xiaofeng Yuan, Lixin Han, Subin Qian, Licai Zhu, Jun Zhu, Hong Yan
2021 J jnl
Supervised Deep Belief Network for Quality Prediction in Industrial Processes.
IEEE Trans. Instrum. Meas.
Xiaofeng Yuan, Yongjie Gu, Yalin 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
A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst.
Xiaofeng Yuan, Yongjie Gu, Yalin Wang, Chunhua Yang, Weihua Gui
2020 J jnl
Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE.
Neurocomputing
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang, Weihua Gui
2020 J jnl
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy.
IEEE Trans. Ind. Informatics
Xiaofeng Yuan, Jiao Zhou, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui
2020 J jnl
LDA-based deep transfer learning for fault diagnosis in industrial chemical processes.
Comput. Chem. Eng.
Yalin Wang, Dongzhe Wu, Xiaofeng Yuan
2020 J jnl
Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network.
IEEE Trans. Ind. Informatics
Xiaofeng Yuan, Lin Li, Yalin Wang
2020 J jnl
Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable.
IEEE Trans. Instrum. Meas.
Xiaofeng Yuan, Shuaibin Qi, Yalin Wang
2020 J jnl
Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit.
Inf. Sci.
Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui
2019 — conf
A correction method for the proportion of key components in basic HYSYS library based on an improved squirrel search algorithm.
ASCC
Yalin Wang, Dandan Shang, Xiaofeng Yuan
2019 — conf
Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process.
ASCC
Xiaofeng Yuan, Jiao Zhou, Yalin Wang, Chunhua Yang
2019 J jnl
Singular value decomposition based recommendation using imputed data.
Knowl. Based Syst.
Xiaofeng Yuan, Lixin Han, Subin Qian, Guoxia Xu, Hong Yan
2018 J jnl
A Novel Sliding Window PCA-IPF Based Steady-State Detection Framework and Its Industrial Application.
IEEE Access
Yalin Wang, Kenan Sun, Xiaofeng Yuan, Yue Cao, Ling Li, Heikki N. Koivo
2018 J jnl
A fuzzy clustering-based denoising model for evaluating uncertainty in collaborative filtering recommender systems.
J. Assoc. Inf. Sci. Technol.
Jun Zhu, Lixin Han, Zhinan Gou, Xiaofeng Yuan
2018 J jnl
Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE.
IEEE Trans. Ind. Informatics
Xiaofeng Yuan, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui
2018 J jnl
Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion.
Multim. Tools Appl.
Yalin Wang, Haibing Xia, Xiaofeng Yuan, Ling Li, Bei Sun
2018 C conf
Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling.
IECON
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang
2018 — conf
On the curve and impedance-wall improvement of quad-ridged horn in the application of compact range simulation.
IIKI
Jingxuan Yang, Xin Hou, Xiaofeng Yuan
2018 J jnl
Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression.
IEEE Access
Xiaofeng Yuan, Zhiwen Chen, Yalin Wang
2018 J jnl
Temperature Prediction Model for Roller Kiln by ALD-Based Double Locally Weighted Kernel Principal Component Regression.
IEEE Trans. Instrum. Meas.
Ning Chen, Jiayang Dai, Xiaofeng Yuan, Weihua Gui, Wenting Ren, Heikki N. Koivo
2018 J jnl
Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes.
IEEE Trans. Ind. Electron.
Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Zhiqiang Ge, Zhihuan Song, Weihua Gui
2017 J jnl
A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data.
IEEE Trans. Control. Syst. Technol.
Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song
2017 J jnl
Retrofit Self-Optimizing Control: A Step Forward Toward Real Implementation.
IEEE Trans. Ind. Electron.
Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song
2017 J jnl
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR.
IEEE Trans. Ind. Informatics
Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song, Yalin Wang
2017 J jnl
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression.
IEEE Trans. Instrum. Meas.
Xiaofeng Yuan, Zhiqiang Ge, Zhihuan Song, Yalin Wang, Chunhua Yang, Hongwei Zhang
2017 J jnl
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
Jun Zhu, Xiaofeng Yuan, Zhinan Gou, Yi Yang
2016 — conf
Retrofit self-optimizing control of Tennessee Eastman process.
ICIT
Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song
2013 — conf
A soft-sensor for estimating copper quality by image analysis technology.
ICCA
Xiaofeng Yuan, Hongwei Zhang, Zhihuan Song
2013 — conf
An Approach for Extrapolating Far Field Radar Cross-Section from Near Field Measurement.
GreenCom/iThings/CPScom
Chao Gao, Xiaofeng Yuan, Yang Bai
2008 — conf
Study on Discretization in Rough Set Via Modified Quantum Genetic Algorithm.
ICIC (2)
Shuhong Chen, Xiaofeng Yuan
2006 — conf
A Fast Algorithm for the Quasi-Synchronous Window.
ICICIC (2)
Xiaofeng Yuan, Shuhong Chen, Hualong Xu, Zhi-Jie Zhou
2006 — conf
FDUQA on TREC 2006 QA Track.
TREC
Yaqian Zhou, Xiaofeng Yuan, Junkuo Cao, Xuanjing Huang, Lide Wu
2006 — conf
Improvement on the Constrained Association Rule Mining Algorithm of Separate.
ICDIM
Xiaofeng Yuan, Hualong Xu, Shuhong Chen