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2020 – today
- 2024
- [j60]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: 111542 (2024) - [j59]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: 107839 (2024) - [j58]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: 108361 (2024) - [j57]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: 123078 (2024) - [j56]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): 1777-1785 (2024) - [j55]Bochun Yue, Kai Wang
, Hongqiu Zhu, Xiaofeng Yuan, Chunhua Yang:
Spiking autoencoder for nonlinear industrial process fault detection. Inf. Sci. 665: 120389 (2024) - [j54]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): 334-345 (2024) - [j53]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): 1138-1150 (2024) - [j52]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): 974-987 (2024) - [j51]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): 2696-2707 (2024) - [j50]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): 5253-5262 (2024) - [j49]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: 1-13 (2024) - [j48]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: 1-10 (2024) - 2023
- [j47]Wei Guo
, Shuangshuang Chen, Xiaofeng Yuan:
H-BLS: a hierarchical broad learning system with deep and sparse feature learning. Appl. Intell. 53(1): 153-168 (2023) - [j46]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): 29556 (2023) - [j45]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): 105547 (2023) - [j44]Yalin Wang, Hansheng Wu, Chenliang Liu
, Kai Wang, Xiaofeng Yuan:
Domain adaptation for few-sample nonlinear process monitoring with deep networks. Inf. Sci. 629: 456-470 (2023) - [j43]Yalin Wang, Jiangfeng Zou, Kai Wang, Chenliang Liu
, Xiaofeng Yuan:
Semi-supervised deep embedded clustering with pairwise constraints and subset allocation. Neural Networks 164: 310-322 (2023) - [j42]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): 7914-7924 (2023) - [j41]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): 9325-9336 (2023) - [c14]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: 1-6 - [c13]Muxin Xu, Yingshan Shen, Sizhu Wang, Xiaofeng Yuan:
Oriented Classroom Instructional Behavior Recognition Benchmark. SETE (1) 2023: 130-141 - 2022
- [j40]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: 101590 (2022) - [j39]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): 3291-3312 (2022) - [j38]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: 108851 (2022) - [j37]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): 3711-3725 (2022) - [j36]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): 10337-10353 (2022) - [j35]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): 1117-1129 (2022) - [j34]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): 5849-5858 (2022) - [j33]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: 1-11 (2022) - [j32]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): 6158-6172 (2022) - [c12]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: 124-129 - 2021
- [j31]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: 104341 (2021) - [j30]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: 104381 (2021) - [j29]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: 114065 (2021) - [j28]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): 102384 (2021) - [j27]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: 42-57 (2021) - [j26]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: 107350 (2021) - [j25]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: 54-62 (2021) - [j24]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): 4404-4414 (2021) - [j23]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: 1-11 (2021) - [j22]Xiaofeng Yuan
, Yongjie Gu
, Yalin Wang
:
Supervised Deep Belief Network for Quality Prediction in Industrial Processes. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j21]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): 3296-3305 (2021) - 2020
- [j20]Yalin Wang, Dongzhe Wu, Xiaofeng Yuan:
LDA-based deep transfer learning for fault diagnosis in industrial chemical processes. Comput. Chem. Eng. 140: 106964 (2020) - [j19]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: 375-382 (2020) - [j18]Xiaofeng Yuan
, Yalin Wang, Chunhua Yang
, Weihua Gui:
Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit. Inf. Sci. 534: 72-84 (2020) - [j17]Xiaofeng Yuan
, Lin Li
, Yalin Wang
:
Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network. IEEE Trans. Ind. Informatics 16(5): 3168-3176 (2020) - [j16]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): 3721-3730 (2020) - [j15]Xiaofeng Yuan
, Shuaibin Qi
, Yalin Wang
:
Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable. IEEE Trans. Instrum. Meas. 69(10): 7953-7961 (2020) - [j14]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): 4737-4746 (2020)
2010 – 2019
- 2019
- [j13]Xiaofeng Yuan
, Lixin Han, Subin Qian, Guoxia Xu, Hong Yan:
Singular value decomposition based recommendation using imputed data. Knowl. Based Syst. 163: 485-494 (2019) - [c11]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: 236-241 - [c10]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: 242-247 - 2018
- [j12]Xiaofeng Yuan
, Zhiwen Chen, Yalin Wang:
Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression. IEEE Access 6: 10445-10452 (2018) - [j11]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: 20995-21004 (2018) - [j10]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): 1109-1121 (2018) - [j9]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): 16741-16770 (2018) - [j8]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): 1508-1517 (2018) - [j7]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): 3235-3243 (2018) - [j6]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): 2001-2010 (2018) - [c9]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: 5400-5405 - [c8]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: 625-631 - 2017
- [j5]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): 253-263 (2017) - [j4]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): 1124-1132 (2017) - [j3]Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song:
Retrofit Self-Optimizing Control: A Step Forward Toward Real Implementation. IEEE Trans. Ind. Electron. 64(6): 4662-4670 (2017) - [j2]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): 532-541 (2017) - [j1]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): 837-845 (2017) - 2016
- [c7]Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song:
Retrofit self-optimizing control of Tennessee Eastman process. ICIT 2016: 866-871 - 2013
- [c6]Chao Gao, Xiaofeng Yuan, Yang Bai:
An Approach for Extrapolating Far Field Radar Cross-Section from Near Field Measurement. GreenCom/iThings/CPScom 2013: 1604-1607 - [c5]Xiaofeng Yuan, Hongwei Zhang, Zhihuan Song:
A soft-sensor for estimating copper quality by image analysis technology. ICCA 2013: 991-996
2000 – 2009
- 2008
- [c4]Shuhong Chen, Xiaofeng Yuan:
Study on Discretization in Rough Set Via Modified Quantum Genetic Algorithm. ICIC (2) 2008: 300-307 - 2006
- [c3]Xiaofeng Yuan, Hualong Xu, Shuhong Chen:
Improvement on the Constrained Association Rule Mining Algorithm of Separate. ICDIM 2006: 205-208 - [c2]Xiaofeng Yuan, Shuhong Chen, Hualong Xu, Zhi-Jie Zhou:
A Fast Algorithm for the Quasi-Synchronous Window. ICICIC (2) 2006: 366-369 - [c1]Yaqian Zhou, Xiaofeng Yuan, Junkuo Cao, Xuanjing Huang, Lide Wu:
FDUQA on TREC 2006 QA Track. TREC 2006
Coauthor Index
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last updated on 2024-08-06 22:02 CEST by the dblp team
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