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ORCIDXuefeng Yan 0003
Person information
- affiliation: East China University of Science and Technology, Shanghai, China
Other persons with the same name
- Xuefeng Yan — disambiguation page
- Xuefeng Yan 0001
![[0000-0001-6030-0855]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6030-0855")
— Nanjing University of Aeronautics and Astronautics, Nanjing, China - Xuefeng Yan 0002 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
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2020 – today
- 2025
[j75]Jiawei Yin, Jianbo Yu, Qingchao Jiang, Xuefeng Yan:
Adaptive temporal diffusion-based reconstruction model for industrial dynamic uncertain process monitoring. Appl. Soft Comput. 181: 113407 (2025)- [j74]Yifei Sun, Xuefeng Yan:
Spatial-Temporal relation inference Transformer combined with dynamic relationship and static causality for batch process modeling and the application of erythromycin fermentation. Eng. Appl. Artif. Intell. 146: 110271 (2025) - [j73]Weijun Wang, Qingchao Jiang, Xuefeng Yan, Weimin Zhong:
VGMTNet: A variational Gaussian mixture label transfer network for industrial fault diagnosis. Expert Syst. Appl. 291: 128472 (2025) - [j72]Le Wang, Qinqin Fan, Xuefeng Yan:
Two-space interaction enhanced particle swarm optimization for tackling high-dimensional problems. Evol. Syst. 16(2): 52 (2025) - [j71]Le Wang, Qinqin Fan, Xuefeng Yan:
A surrogate archive assisted multi-objective evolutionary algorithm under limited computational budget. Soft Comput. 29(2): 723-753 (2025) - [j70]Jianbo Yu, Jian Huang, Xuewei Fu, Yu Jin, Xuefeng Yan, Xiaofeng Yang:
Disentangled Feature Representation Based on Multiscale Content Learning in Industrial Heterogeneous Nonstationary Fault Detection. IEEE Trans. Instrum. Meas. 74: 1-12 (2025) - 2024
- [j69]Jianbo Yu, Zhaomin Lv, Hang Ruan, Shijie Hu, Qingchao Jiang, Xuefeng Yan, Yuping Liu, Xiaofeng Yang:
Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations. Adv. Eng. Informatics 62: 102837 (2024) - [j68]Le Wang, Jiahang Li, Xuefeng Yan:
A variable population size opposition-based learning for differential evolution algorithm and its applications on feature selection. Appl. Intell. 54(11-12): 959-984 (2024) - [j67]Zhongyi Zhang, Xueting Wang, Guan Wang, Qingchao Jiang, Xuefeng Yan, Yingping Zhuang:
A data enhancement method based on generative adversarial network for small sample-size with soft sensor application. Comput. Chem. Eng. 186: 108707 (2024) - [j66]Zhenhua Yu, Zhongyi Zhang, Qingchao Jiang, Xuefeng Yan:
Neural network-based hybrid modeling approach incorporating Bayesian optimization with industrial soft sensor application. Knowl. Based Syst. 301: 112341 (2024) - [j65]Shifu Yan, Xuefeng Yan:
Learning Output Relevant Features by Joint Autoencoder. IEEE Trans. Cybern. 54(2): 1075-1083 (2024) - [j64]Jiandong Yang, Jiangsheng Li, Shifu Yan, Yangfeng Wang, Ying Zhang, Xuefeng Yan:
Fluid catalytic cracking process quality-driven fault detection based on partial least squares and deep feedforward neural network. Trans. Inst. Meas. Control 46(1): 78-92 (2024) - 2023
- [j63]Zhichao Li, Li Tian, Xuefeng Yan:
Ensemble Monitoring Model Based on Multi-Subspace Partition of Deep Features. IEEE Access 11: 128911-128922 (2023) - [j62]Zhichao Li, Li Tian, Xuefeng Yan:
A multi-objective optimization based deep feature multi-subspace partitioning method for process monitoring. Expert Syst. Appl. 225: 120097 (2023) - [j61]Shifu Yan, Lihua Lv, Xuefeng Yan:
Neural representations for quality-related kernel learning and fault detection. Soft Comput. 27(18): 13543-13551 (2023) - [j60]Qiqi Wu, Xuefeng Yan:
Interval-Valued-Based Stacked Attention Autoencoder Model for Process Monitoring and Fault Diagnosis of Nonlinear Uncertain Systems. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j59]Qingchao Jiang, Jiashi Jiang, Weimin Zhong, Xuefeng Yan:
Optimized Gaussian-Process-Based Probabilistic Latent Variable Modeling Framework for Distributed Nonlinear Process Monitoring. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 3187-3198 (2023) - 2022
- [j58]Qiqi Wu, Weipeng Lu, Xuefeng Yan:
Process monitoring of nonlinear uncertain systems based on Part Interval Stacked Autoencoder and Support Vector Data Description. Appl. Soft Comput. 129: 109570 (2022) - [j57]Zhichao Li, Li Tian, Qingchao Jiang, Xuefeng Yan:
Dynamic nonlinear process monitoring based on dynamic correlation variable selection and kernel principal component regression. J. Frankl. Inst. 359(9): 4513-4539 (2022) - [j56]Qingchao Jiang, Shutian Chen, Xuefeng Yan, Manabu Kano, Biao Huang:
Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes. IEEE Trans Autom. Sci. Eng. 19(3): 1913-1923 (2022) - 2021
- [j55]Zhichao Li, Li Tian, Qingchao Jiang, Xuefeng Yan:
Distributed-ensemble stacked autoencoder model for non-linear process monitoring. Inf. Sci. 542: 302-316 (2021) - [j54]Weipeng Lu, Xuefeng Yan:
Visual high dimensional industrial process monitoring based on deep discriminant features and t-SNE. Multidimens. Syst. Signal Process. 32(2): 767-789 (2021) - [j53]Shifu Yan, Xuefeng Yan:
Nonlinear quality-relevant process monitoring based on maximizing correlation neural network. Neural Comput. Appl. 33(16): 10129-10139 (2021) - [j52]Jie Yin, Xuefeng Yan:
Stacked sparse autoencoders monitoring model based on fault-related variable selection. Soft Comput. 25(5): 3531-3543 (2021) - [j51]Qinqin Fan, Xuefeng Yan, Yilian Zhang, Changming Zhu:
A Variable Search Space Strategy Based on Sequential Trust Region Determination Technique. IEEE Trans. Cybern. 51(5): 2712-2724 (2021) - [j50]Huaikuan Yi, Qingchao Jiang, Xuefeng Yan, Bei Wang:
Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application. IEEE Trans. Ind. Informatics 17(9): 5867-5875 (2021) - [j49]Weipeng Lu, Xuefeng Yan:
Deep Double Supervised Embedding Neural Network Enhancing Class Separation for Visual High-Dimensional Industrial Process Monitoring. IEEE Trans. Ind. Informatics 17(9): 6357-6367 (2021) - [j48]Jie Yin, Xuefeng Yan:
Stacked sparse autoencoders that preserve the local and global feature structures for fault detection. Trans. Inst. Meas. Control 43(16) (2021) - [j47]Qingchao Jiang, Shifu Yan, Hui Cheng, Xuefeng Yan:
Local-Global Modeling and Distributed Computing Framework for Nonlinear Plant-Wide Process Monitoring With Industrial Big Data. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3355-3365 (2021) - [j46]Qinqin Fan, Xuefeng Yan:
Solving Multimodal Multiobjective Problems Through Zoning Search. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 4836-4847 (2021) - 2020
- [j45]Jian Huang, Xu Yang, Yuri A. W. Shardt, Xuefeng Yan:
Fault Classification in Dynamic Processes Using Multiclass Relevance Vector Machine and Slow Feature Analysis. IEEE Access 8: 9115-9123 (2020) - [j44]Jianbo Yu, Xuefeng Yan:
Modeling Large-Scale Industrial Processes by Multiple Deep Belief Networks With Lower-Pressure and Higher-Precision for Status Monitoring. IEEE Access 8: 20439-20448 (2020) - [j43]Li Tian, Zhichao Li, Xuefeng Yan:
Potential-Based Differential Evolution Algorithm With Joint Adaptation of Parameters and Strategies. IEEE Access 8: 100562-100577 (2020) - [j42]Jianbo Yu, Xuefeng Yan:
Multiscale intelligent fault detection system based on agglomerative hierarchical clustering using stacked denoising autoencoder with temporal information. Appl. Soft Comput. 95: 106525 (2020) - [j41]Li Tian, Zhichao Li, Xuefeng Yan:
High-performance differential evolution algorithm guided by information from individuals with potential. Appl. Soft Comput. 95: 106531 (2020) - [j40]Xuefeng Yan, Jie Wang, Qingchao Jiang:
Deep relevant representation learning for soft sensing. Inf. Sci. 514: 263-274 (2020) - [j39]Zhichao Li, Xuefeng Yan:
Performance-driven ensemble ICA chemical process monitoring based on fault-relevant models. Soft Comput. 24(16): 12289-12302 (2020) - [j38]Diehao Kong, Xuefeng Yan:
Adaptive parameter tuning stacked autoencoders for process monitoring. Soft Comput. 24(17): 12937-12951 (2020) - [j37]Qingchao Jiang, Xuefeng Yan, Biao Huang:
Deep Discriminative Representation Learning for Nonlinear Process Fault Detection. IEEE Trans Autom. Sci. Eng. 17(3): 1410-1419 (2020) - [j36]Zhichao Li, Xuefeng Yan:
Fault-Relevant Optimal Ensemble ICA Model for Non-Gaussian Process Monitoring. IEEE Trans. Control. Syst. Technol. 28(6): 2581-2590 (2020) - [j35]Jianbo Yu, Xuefeng Yan:
Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network. IEEE Trans. Cybern. 50(9): 3998-4007 (2020) - [j34]Qingchao Jiang, Xuefeng Yan, Hui Yi, Furong Gao:
Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares. IEEE Trans. Ind. Electron. 67(5): 4098-4107 (2020) - [j33]Qingchao Jiang, Shifu Yan, Xuefeng Yan, Hui Yi, Furong Gao:
Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring. IEEE Trans. Ind. Informatics 16(4): 2839-2848 (2020) - [j32]Bei Wang, Zhichao Li, Zhenwen Dai, Neil D. Lawrence, Xuefeng Yan:
Data-Driven Mode Identification and Unsupervised Fault Detection for Nonlinear Multimode Processes. IEEE Trans. Ind. Informatics 16(6): 3651-3661 (2020)
2010 – 2019
- 2019
- [j31]Jie Wang, Xuefeng Yan:
Mutual Information-Weighted Principle Components Identified From the Depth Features of Stacked Autoencoders and Original Variables for Oil Dry Point Soft Sensor. IEEE Access 7: 1981-1990 (2019) - [j30]Qingchao Jiang, Xuefeng Yan:
Quality-Driven Kernel Projection to Latent Structure Model for Nonlinear Process Monitoring. IEEE Access 7: 74450-74458 (2019) - [j29]Qinqin Fan, Weili Wang, Xuefeng Yan:
Differential evolution algorithm with strategy adaptation and knowledge-based control parameters. Artif. Intell. Rev. 51(2): 219-253 (2019) - [j28]Li Tian, Zhichao Li, Xuefeng Yan:
Differential evolution algorithm directed by individual difference information between generations and current individual information. Appl. Intell. 49(2): 628-649 (2019) - [j27]Shifu Yan, Xuefeng Yan:
Design teacher and supervised dual stacked auto-encoders for quality-relevant fault detection in industrial process. Appl. Soft Comput. 81 (2019) - [j26]Bei Wang, Zhichao Li, Zhenwen Dai, Neil D. Lawrence, Xuefeng Yan:
A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant. Appl. Soft Comput. 82 (2019) - [j25]Qinqin Fan, Ning Li, Yilian Zhang, Xuefeng Yan:
Zoning search using a hyper-heuristic algorithm. Sci. China Inf. Sci. 62(9): 199102:1-199102:3 (2019) - [j24]Qinqin Fan, Yaochu Jin, Weili Wang, Xuefeng Yan:
A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation. Swarm Evol. Comput. 44: 1-17 (2019) - [j23]Qingchao Jiang, Xuefeng Yan:
Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis. IEEE Trans Autom. Sci. Eng. 16(4): 1814-1824 (2019) - [j22]Qingchao Jiang, Furong Gao, Hui Yi, Xuefeng Yan:
Multivariate Statistical Monitoring of Key Operation Units of Batch Processes Based on Time-Slice CCA. IEEE Trans. Control. Syst. Technol. 27(3): 1368-1375 (2019) - [j21]Qingchao Jiang, Xuefeng Yan, Biao Huang:
Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring With Missing Data. IEEE Trans. Control. Syst. Technol. 27(6): 2330-2339 (2019) - [j20]Junping Huang, Xuefeng Yan:
Quality-Driven Principal Component Analysis Combined With Kernel Least Squares for Multivariate Statistical Process Monitoring. IEEE Trans. Control. Syst. Technol. 27(6): 2688-2695 (2019) - [j19]Qingchao Jiang, Furong Gao, Xuefeng Yan, Hui Yi:
Multiobjective Two-Dimensional CCA-Based Monitoring for Successive Batch Processes With Industrial Injection Molding Application. IEEE Trans. Ind. Electron. 66(5): 3825-3834 (2019) - [j18]Qingchao Jiang, Xuefeng Yan:
Learning Deep Correlated Representations for Nonlinear Process Monitoring. IEEE Trans. Ind. Informatics 15(12): 6200-6209 (2019) - 2018
- [j17]Qingchao Jiang, Yang Wang, Xuefeng Yan:
Optimal Variable Transmission for Distributed Local Fault Detection Incorporating RA and Evolutionary Optimization. IEEE Access 6: 3201-3211 (2018) - [j16]Qinqin Fan, Xuefeng Yan, Yilian Zhang:
Auto-selection mechanism of differential evolution algorithm variants and its application. Eur. J. Oper. Res. 270(2): 636-653 (2018) - [j15]Qinqin Fan, Yilian Zhang, Xuefeng Yan, Zhi-Huan Wang:
Enhancing the Performance of JADE Using Two-phase Parameter Control Scheme and Its Application. Int. J. Autom. Comput. 15(4): 462-473 (2018) - [j14]Bei Wang, Zhichao Li, Xuefeng Yan:
Multi-subspace factor analysis integrated with support vector data description for multimode process monitoring. J. Frankl. Inst. 355(15): 7664-7690 (2018) - [j13]Qinqin Fan, Xuefeng Yan:
Multi-objective modified differential evolution algorithm with archive-base mutation for solving multi-objective \(p\) -xylene oxidation process. J. Intell. Manuf. 29(1): 35-49 (2018) - 2017
- [j12]Qinqin Fan, Weili Wang, Xuefeng Yan:
Multi-objective differential evolution with performance-metric-based self-adaptive mutation operator for chemical and biochemical dynamic optimization problems. Appl. Soft Comput. 59: 33-44 (2017) - [j11]Jia-Wei Tang, Xuefeng Yan:
Neural network modeling relationship between inputs and state mapping plane obtained by FDA-t-SNE for visual industrial process monitoring. Appl. Soft Comput. 60: 577-590 (2017) - [j10]Qinqin Fan, Xuefeng Yan, Yu Xue:
Prior knowledge guided differential evolution. Soft Comput. 21(22): 6841-6858 (2017) - [j9]Junping Huang, Xuefeng Yan:
Quality Relevant and Independent Two Block Monitoring Based on Mutual Information and KPCA. IEEE Trans. Ind. Electron. 64(8): 6518-6527 (2017) - [j8]Qingchao Jiang, Steven X. Ding, Yang Wang, Xuefeng Yan:
Data-Driven Distributed Local Fault Detection for Large-Scale Processes Based on the GA-Regularized Canonical Correlation Analysis. IEEE Trans. Ind. Electron. 64(10): 8148-8157 (2017) - 2016
- [j7]Bei Wang, Xuefeng Yan, Qingchao Jiang:
Independent component analysis model utilizing de-mixing information for improved non-Gaussian process monitoring. Comput. Ind. Eng. 94: 188-200 (2016) - [j6]Qingchao Jiang, Biao Huang, Xuefeng Yan:
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis. Comput. Chem. Eng. 84: 338-349 (2016) - [j5]Qinqin Fan, Xuefeng Yan:
Self-Adaptive Differential Evolution Algorithm With Zoning Evolution of Control Parameters and Adaptive Mutation Strategies. IEEE Trans. Cybern. 46(1): 219-232 (2016) - [j4]Qingchao Jiang, Xuefeng Yan, Biao Huang:
Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference. IEEE Trans. Ind. Electron. 63(1): 377-386 (2016) - [j3]Qingchao Jiang, Biao Huang, Steven X. Ding, Xuefeng Yan:
Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring. IEEE Trans. Ind. Electron. 63(10): 6316-6324 (2016) - 2015
- [j2]Qinqin Fan, Xuefeng Yan:
Self-adaptive differential evolution algorithm with discrete mutation control parameters. Expert Syst. Appl. 42(3): 1551-1572 (2015) - [j1]Qinqin Fan, Xuefeng Yan:
Differential evolution algorithm with self-adaptive strategy and control parameters for P-xylene oxidation process optimization. Soft Comput. 19(5): 1363-1391 (2015)
Coauthor Index
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