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Xuemin Tian
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2010 – 2019
- 2019
- [j17]Xiaogang Deng
, Xuemin Tian, Sheng Chen
Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring. IEEE Trans. Control. Syst. Technol. 27(6): 2526-2540 (2019) - 2018
- [j16]Hanyuan Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao:
Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis. Neurocomputing 293: 64-86 (2018) - [j15]Xiaogang Deng, Xuemin Tian, Sheng Chen
Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 29(3): 560-572 (2018) - 2017
- [j14]Hanyuan Zhang
Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis. IEEE Access 5: 2696-2710 (2017) - [j13]Yuping Cao
Quality-Relevant Batch Process Fault Detection Using a Multiway Multi-Subspace CVA Method. IEEE Access 5: 23256-23265 (2017) - [j12]Weiming Shao, Xuemin Tian:
Semi-supervised selective ensemble learning based on distance to model for nonlinear soft sensor development. Neurocomputing 222: 91-104 (2017) - [j11]Lianfang Cai, Xuemin Tian, Sheng Chen
Monitoring Nonlinear and Non-Gaussian Processes Using Gaussian Mixture Model-Based Weighted Kernel Independent Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 28(1): 122-135 (2017) - [c9]Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
Deep learning based nonlinear principal component analysis for industrial process fault detection. IJCNN 2017: 1237-1243 - 2015
- [j10]Ni Zhang, Xuemin Tian, Lianfang Cai, Xiaogang Deng:
Process fault detection based on dynamic kernel slow feature analysis. Comput. Electr. Eng. 41: 9-17 (2015) - [j9]Ruiqin Shi, Xuemin Tian, Xudong Zhao
Stability and l1-Gain Analysis for Switched Delay Positive Systems with Stable and Unstable Subsystems. Circuits Syst. Signal Process. 34(5): 1683-1696 (2015) - [j8]Xuemin Tian, Lianfang Cai, Sheng Chen
Noise-resistant joint diagonalization independent component analysis based process fault detection. Neurocomputing 149: 652-666 (2015) - [c8]Xiushan Jiang, Xuemin Tian, Weihai Zhang:
Exact observability canonical forms of stochastic time-invariant systems based on ℋ-representation technique. ICIA 2015: 1009-1013 - [c7]Lixing Chen, Xuemin Tian, Lianfang Cai:
FIM-Based Pairwise Selection for Active Learning on Imbalanced Datasets. SMC 2015: 1876-1881 - 2014
- [j7]Lianfang Cai, Xuemin Tian, Sheng Chen
A process monitoring method based on noisy independent component analysis. Neurocomputing 127: 231-246 (2014) - [j6]Yinxue Zhang, Xuemin Tian, Peng Ren:
An adaptive bilateral filter based framework for image denoising. Neurocomputing 140: 299-316 (2014) - 2013
- [j5]Xiaogang Deng, Xuemin Tian:
Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor. Neurocomputing 121: 298-308 (2013) - [c6]Lianfang Cai, Xuemin Tian, Honglong Chen:
Nonlinear Process Fault Diagnosis Using Kernel ICA and Improved FDA. ALCOSP 2013: 736-741 - 2012
- [j4]Xuemin Tian, Chun-ming Li, Sheng Chen:
Guaranteed cost control of linear uncertain time-delay switched singular systems based on an LMI approach. Int. J. Model. Identif. Control. 17(2): 109-115 (2012) - 2011
- [j3]Xuemin Tian, Gongquan Chen, Sheng Chen
A data-based approach for multivariate model predictive control performance monitoring. Neurocomputing 74(4): 588-597 (2011) - 2010
- [j2]Xuemin Tian, Ling Tu, Minghui Yang, Sheng Chen:
Inferential control with the aid of modified QPLS-based soft sensor for an industrial FCCU fractionator. Int. J. Model. Identif. Control. 11(1/2): 59-70 (2010) - [c5]Yinxue Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao:
Seismic denoising based on modified BP neural network. ICNC 2010: 1825-1829
2000 – 2009
- 2009
- [j1]Xuemin Tian, Xiaoling Zhang, Xiaogang Deng, Sheng Chen
Multiway kernel independent component analysis based on feature samples for batch process monitoring. Neurocomputing 72(7-9): 1584-1596 (2009) - [c4]Ping Wang, Xuemin Tian:
A hybrid DE-SQP algorithm with switching procedure for dynamic optimization. CDC 2009: 2254-2259 - 2008
- [c3]Zhenhua Sun, Xuemin Tian, Ping Wang:
A novel signals splitting method for intermittent sampling in deficient period. ISKE 2008: 656-661 - 2007
- [c2]Chengwei Dai, Shuang-Hua Yang, Xuemin Tian, Bokai Xia:
Reference Model Based Maintenance of Control System Performance for Industrial Processes. ICNSC 2007: 76-80 - 2006
- [c1]Xuemin Tian, Bokai Xia, Zuojun Yu, Shuang-Hua Yang:
Non-linear Dynamic Data Reconciliation For Industrial Processes. SMC 2006: 5291-5296
Coauthor Index
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