Xuemin Tian

According to our database, Xuemin Tian authored at least 26 papers between 2006 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring.

Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris

IEEE Trans. Control. Syst. Technol., 2019

2018

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis.

Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris

IEEE Trans. Neural Networks Learn. Syst., 2018

Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis.

Hanyuan Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao

Neurocomputing, 2018

2017

Monitoring Nonlinear and Non-Gaussian Processes Using Gaussian Mixture Model-Based Weighted Kernel Independent Component Analysis.

Lianfang Cai, Xuemin Tian, Sheng Chen

IEEE Trans. Neural Networks Learn. Syst., 2017

Semi-supervised selective ensemble learning based on distance to model for nonlinear soft sensor development.

Weiming Shao, Xuemin Tian

Neurocomputing, 2017

Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis.

Hanyuan Zhang, Xuemin Tian, Xiaogang Deng

IEEE Access, 2017

Quality-Relevant Batch Process Fault Detection Using a Multiway Multi-Subspace CVA Method.

Yuping Cao, Yongping Hu, Xiaogang Deng, Xuemin Tian

IEEE Access, 2017

Deep learning based nonlinear principal component analysis for industrial process fault detection.

Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

Noise-resistant joint diagonalization independent component analysis based process fault detection.

Xuemin Tian, Lianfang Cai, Sheng Chen

Neurocomputing, 2015

Stability and l₁-Gain Analysis for Switched Delay Positive Systems with Stable and Unstable Subsystems.

Ruiqin Shi, Xuemin Tian, Xudong Zhao, Xiaolong Zheng

Circuits Syst. Signal Process., 2015

Process fault detection based on dynamic kernel slow feature analysis.

Ni Zhang, Xuemin Tian, Lianfang Cai, Xiaogang Deng

Comput. Electr. Eng., 2015

FIM-Based Pairwise Selection for Active Learning on Imbalanced Datasets.

Lixing Chen, Xuemin Tian, Lianfang Cai

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Exact observability canonical forms of stochastic time-invariant systems based on ℋ-representation technique.

Xiushan Jiang, Xuemin Tian, Weihai Zhang

Proceedings of the IEEE International Conference on Information and Automation, 2015

2014

An adaptive bilateral filter based framework for image denoising.

Yinxue Zhang, Xuemin Tian, Peng Ren

Neurocomputing, 2014

A process monitoring method based on noisy independent component analysis.

Lianfang Cai, Xuemin Tian, Sheng Chen

Neurocomputing, 2014

2013

Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor.

Xiaogang Deng, Xuemin Tian

Neurocomputing, 2013

Nonlinear Process Fault Diagnosis Using Kernel ICA and Improved FDA.

Lianfang Cai, Xuemin Tian, Honglong Chen

Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2012

Guaranteed cost control of linear uncertain time-delay switched singular systems based on an LMI approach.

Xuemin Tian, Chun-ming Li, Sheng Chen

Int. J. Model. Identif. Control., 2012

2011

A data-based approach for multivariate model predictive control performance monitoring.

Xuemin Tian, Gongquan Chen, Sheng Chen

Neurocomputing, 2011

2010

Inferential control with the aid of modified QPLS-based soft sensor for an industrial FCCU fractionator.

Xuemin Tian, Ling Tu, Minghui Yang, Sheng Chen

Int. J. Model. Identif. Control., 2010

Seismic denoising based on modified BP neural network.

Yinxue Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao

Proceedings of the Sixth International Conference on Natural Computation, 2010

2009

Multiway kernel independent component analysis based on feature samples for batch process monitoring.

Xuemin Tian, Xiaoling Zhang, Xiaogang Deng, Sheng Chen

Neurocomputing, 2009

A hybrid DE-SQP algorithm with switching procedure for dynamic optimization.

Ping Wang, Xuemin Tian

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

A novel signals splitting method for intermittent sampling in deficient period.

Zhenhua Sun, Xuemin Tian, Ping Wang

Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

2007

Reference Model Based Maintenance of Control System Performance for Industrial Processes.

Chengwei Dai, Shuang-Hua Yang, Xuemin Tian, Bokai Xia

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

2006

Non-linear Dynamic Data Reconciliation For Industrial Processes.

Xuemin Tian, Bokai Xia, Zuojun Yu, Shuang-Hua Yang

Proceedings of the IEEE International Conference on Systems, 2006