Xiaofeng Yuan

发表

Development of NVW-SAEs with nonlinear correlation metrics for quality-relevant feature learning in process data modeling

Xiaofeng Yuan, Chen Ou, Yalin Wang, 2020, Measurement Science and Technology.

A Fast Algorithm for the Quasi-Synchronous Window

Shuhong Chen, Xiaofeng Yuan, Hualong Xu, 2006, First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06).

Rapid vision-based system for secondary copper content estimation

Xiaofeng Yuan, Zhihuan Song, Hongwei Zhang, 2014 .

Nonlinear feature extraction for soft sensor modeling based on weighted probabilistic PCA

Zhiqiang Ge, Zhihuan Song, Xiaofeng Yuan, 2015 .

Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process

Chunhua Yang, Xiaofeng Yuan, Yalin Wang, 2019, 2019 12th Asian Control Conference (ASCC).

Temperature Prediction Model for Roller Kiln by ALD-Based Double Locally Weighted Kernel Principal Component Regression

Ning Chen, Weihua Gui, Heikki N. Koivo, 2018, IEEE Transactions on Instrumentation and Measurement.

Run‐to‐run optimization of batch processes with self‐optimizing control strategy

Xiaofeng Yuan, Hongwei Guan, Xiushui Ma, 2017 .

FDUQA on TREC2006 QA Track

Xuanjing Huang, Lide Wu, Xiaofeng Yuan, 2006 .

A soft-sensor for estimating copper quality by image analysis technology

Zhihuan Song, Hongwei Zhang, Xiaofeng Yuan, 2013, 2013 10th IEEE International Conference on Control and Automation (ICCA).

An Approach for Extrapolating Far Field Radar Cross-Section from Near Field Measurement

Yang Bai, Chao Gao, Xiaofeng Yuan, 2013, GreenCom/iThings/CPScom.

Retrofit Self-Optimizing Control: A Step Forward Toward Real Implementation

Zhihuan Song, Yi Cao, Xiaofeng Yuan, 2017, IEEE Transactions on Industrial Electronics.

Preliminary data-based matrix factorization approach for recommendation

Licai Zhu, Xiaofeng Yuan, Hong Yan, 2021, Inf. Process. Manag..

A Novel Sliding Window PCA-IPF Based Steady-State Detection Framework and Its Industrial Application

Yue Cao, Ling Li, Yalin Wang, 2018, IEEE Access.

Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR

Zhiqiang Ge, Biao Huang, Zhihuan Song, 2017, IEEE Transactions on Industrial Informatics.

Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion

Ling Li, Yalin Wang, Xiaofeng Yuan, 2018, Multimedia Tools and Applications.

A Time Window based Two-Dimensional PCA for Process Monitoring and Its Application to Tennessee Eastman Process

Di Wang, Weiming Shao, Xiaofeng Yuan, 2020, 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS).

A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network.

Weihua Gui, Yalin Wang, Chunhua Yang, 2019, ISA transactions.

Temperature prediction for roller kiln based on hybrid first-principle model and data-driven MW-DLWKPCR model.

Weihua Gui, Xiaofeng Yuan, Jiayang Dai, 2020, ISA transactions.

Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder

Weihua Gui, Chunhua Yang, Xiaofeng Yuan, 2020 .

Classification for raw oil inlet conditions of hydrocracking process based on ratio cluster

Ling Li, Yalin Wang, Xiaofeng Yuan, 2017, 2017 36th Chinese Control Conference (CCC).

Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling

Chunhua Yang, Xiaofeng Yuan, Chen Ou, 2018, IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society.

A hierarchical data reconciliation based on multiple time-delay interval estimation for industrial processes.

Huaizhi Wang, Xiaofeng Yuan, Sen Xie, 2020, ISA transactions.

Soft sensor model development in multiphase/multimode processes based on Gaussian mixture regression

Zhiqiang Ge, Zhihuan Song, Xiaofeng Yuan, 2014 .

New synthesis time accumulation sea spike restraint method

Xiaofeng Yuan, Xujin Yuan, 2015, 2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI).

Improvement on the Constrained Association Rule Mining Algorithm of Separate

Shuhong Chen, Xiaofeng Yuan, Hualong Xu, 2007, 2006 1st International Conference on Digital Information Management.

A two‐layer ensemble learning framework for data‐driven soft sensor of the diesel attributes in an industrial hydrocracking process

Xiaofeng Yuan, Yalin Wang, Dongzhe Wu, 2019, Journal of Chemometrics.

A correction method for the proportion of key components in basic HYSYS library based on an improved squirrel search algorithm

Xiaofeng Yuan, Yalin Wang, Dandan Shang, 2019, 2019 12th Asian Control Conference (ASCC).

Computer Vision-Based Online Heterogeneity Assessment of the Sintering Transversal Thermal State

Xiaofeng Yuan, Yalin Wang, Chunhua Yang, 2020, 2020 39th Chinese Control Conference (CCC).

A dynamic CNN for nonlinear dynamic feature learning in soft sensor modeling of industrial process data

Xiaofeng Yuan, Yalin Wang, Shuaibin Qi, 2020 .

Singular value decomposition based recommendation using imputed data

Hong Yan, Xiaofeng Yuan, Lixin Han, 2019, Knowl. Based Syst..

A Comparative Study of Adaptive Soft Sensors for Quality Prediction in an Industrial Refining Hydrocracking Process

Xiaofeng Yuan, Jiao Zhou, Yalin Wang, 2018, 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS).

VISUAL COMFORT EVALUATION METHOD AND PREDICTION MODEL RELATING TO DISCOMFORT GLARE: A MOCK-UP STUDY OF LUMINOUS ENVIRONMENT IN AIRPLANE COCKPIT

Biao Yang, Xiaofeng Yuan, Chunze Wu, 2019, PROCEEDINGS OF the 29th Quadrennial Session of the CIE.

Parameter identification for breakage distribution function of bauxite based on state transition algorithm

Ling Li, Yalin Wang, Xiaofeng Yuan, 2017, 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP).

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

Biao Huang, Weihua Gui, Yalin Wang, 2018, IEEE Transactions on Industrial Informatics.

Spatio‐temporal adaptive soft sensor for nonlinear time‐varying and variable drifting processes based on moving window LWPLS and time difference model

Zhiqiang Ge, Zhihuan Song, Xiaofeng Yuan, 2016 .

A fuzzy clustering‐based denoising model for evaluating uncertainty in collaborative filtering recommender systems

Jun Zhu, Xiaofeng Yuan, Lixin Han, 2018, J. Assoc. Inf. Sci. Technol..

Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression

Zhiqiang Ge, Zhihuan Song, Hongwei Zhang, 2017, IEEE Transactions on Instrumentation and Measurement.

On the curve and impedance-wall improvement of quad-ridged horn in the application of compact range simulation

Xiaofeng Yuan, Jingxuan Yang, Xin Hou, 2018, IIKI.

Stacked locality preserving autoencoder for feature extraction and its application for industrial process data modeling

Xiaofeng Yuan, Yalin Wang, Chenliang Liu, 2020 .

Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression

Yalin Wang, Zhiwen Chen, Xiaofeng Yuan, 2018, IEEE Access.

Soft Sensor for Multiphase and Multimode Processes Based on Gaussian Mixture Regression

Xiaofeng Yuan, Zhihuan Song, Hongwei Zhang, 2014 .

Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes

Zhiqiang Ge, Zhihuan Song, Weihua Gui, 2018, IEEE Transactions on Industrial Electronics.

Study on Discretization in Rough Set Via Modified Quantum Genetic Algorithm

Shuhong Chen, Xiaofeng Yuan, 2008, ICIC.

Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process

Xiaofeng Yuan, Lingjian Ye, Yalin Wang, 2021, Inf. Sci..

A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes

Weihua Gui, Xiaofeng Yuan, Chunhua Yang, 2021, Knowl. Based Syst..

Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes

Xiaofeng Yuan, Lingjian Ye, Yalin Wang, 2021, IEEE Transactions on Instrumentation and Measurement.

Online Adaptive Modeling Framework for Deep Belief Network-Based Quality Prediction in Industrial Processes

Xiaofeng Yuan, Yalin Wang, Kai Wang, 2021, Industrial & Engineering Chemistry Research.

Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes

Xiaofeng Yuan, Yalin Wang, Chenliang Liu, 2021, Eng. Appl. Artif. Intell..

Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network

Xiaofeng Yuan, Yalin Wang, Kai Wang, 2021, Eng. Appl. Artif. Intell..

Hierarchical hybrid distributed PCA for plant-wide monitoring of chemical processes

Weihua Gui, Xiaofeng Yuan, Yalin Wang, 2021 .

Supervised neighborhood preserving embedding for feature extraction and its application for soft sensor modeling

Zhiqiang Ge, Zhihuan Song, Xiaofeng Yuan, 2016 .

Double locally weighted principal component regression for soft sensor with sample selection under supervised latent structure

Zhiqiang Ge, Biao Huang, Zhihuan Song, 2016 .

Global Approximation of Self-Optimizing Controlled Variables with Average Loss Minimization

Yi Cao, Xiaofeng Yuan, Lingjian Ye, 2015 .

Weihua Gui, Chunhua Yang, Xiaofeng Yuan, 2017, 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP).

Soft sensor model for dynamic processes based on multichannel convolutional neural network

Weihua Gui, Chunhua Yang, Xiaofeng Yuan, 2020 .

Probabilistic density-based regression model for soft sensing of nonlinear industrial processes

Weihua Gui, Chunhua Yang, Xiaofeng Yuan, 2017 .