Non-linear Dynamic Data Reconciliation For Industrial Processes. - Xuemin Tian; Bokai Xia; Zuojun Yu; Shuang-Hua Yang (SMC, 2006)

Reference Model Based Maintenance of Control System Performance for Industrial Processes. - Chengwei Dai; Shuang-Hua Yang; Xuemin Tian; Bokai Xia (ICNSC, 2007)

A novel signals splitting method for intermittent sampling in deficient period. - Zhenhua Sun; Xuemin Tian; Ping Wang (ISKE, 2008)

A hybrid DE-SQP algorithm with switching procedure for dynamic optimization. - Ping Wang; Xuemin Tian (CDC, 2009)

Multiway kernel independent component analysis based on feature samples for batch process monitoring. - Xuemin Tian; Xiaoling Zhang; Xiaogang Deng; Sheng Chen 001 (Neurocomputing, 2009)

Seismic denoising based on modified BP neural network. - Yinxue Zhang; Xuemin Tian; Xiaogang Deng; Yuping Cao (ICNC, 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 001 (Int. J. Model. Identif. Control., 2010)

A data-based approach for multivariate model predictive control performance monitoring. - Xuemin Tian; Gongquan Chen; Sheng Chen 001 (Neurocomputing, 2011)

Guaranteed cost control of linear uncertain time-delay switched singular systems based on an LMI approach. - Xuemin Tian; Chun-ming Li; Sheng Chen 001 (Int. J. Model. Identif. Control., 2012)

Nonlinear Process Fault Diagnosis Using Kernel ICA and Improved FDA. - Lianfang Cai; Xuemin Tian; Honglong Chen (ALCOSP, 2013)

Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor. - Xiaogang Deng; Xuemin Tian (Neurocomputing, 2013)

A process monitoring method based on noisy independent component analysis. - Lianfang Cai; Xuemin Tian; Sheng Chen 001 (Neurocomputing, 2014)

An adaptive bilateral filter based framework for image denoising. - Yinxue Zhang; Xuemin Tian; Peng Ren 001 (Neurocomputing, 2014)

Exact observability canonical forms of stochastic time-invariant systems based on ℋ-representation technique. - Xiushan Jiang; Xuemin Tian; Weihai Zhang (ICIA, 2015)

FIM-Based Pairwise Selection for Active Learning on Imbalanced Datasets. - Lixing Chen; Xuemin Tian; Lianfang Cai (SMC, 2015)

Process fault detection based on dynamic kernel slow feature analysis. - Ni Zhang; Xuemin Tian; Lianfang Cai; Xiaogang Deng (Comput. Electr. Eng., 2015)

Stability and l1-Gain Analysis for Switched Delay Positive Systems with Stable and Unstable Subsystems. - Ruiqin Shi; Xuemin Tian; Xudong Zhao 001; Xiaolong Zheng 004 (Circuits Syst. Signal Process., 2015)

Noise-resistant joint diagonalization independent component analysis based process fault detection. - Xuemin Tian; Lianfang Cai; Sheng Chen 001 (Neurocomputing, 2015)

Deep learning based nonlinear principal component analysis for industrial process fault detection. - Xiaogang Deng; Xuemin Tian; Sheng Chen 001; Chris J. Harris (IJCNN, 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)

Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis. - Hanyuan Zhang; Xuemin Tian; Xiaogang Deng (IEEE Access, 2017)

Semi-supervised selective ensemble learning based on distance to model for nonlinear soft sensor development. - Weiming Shao; Xuemin Tian (Neurocomputing, 2017)

Monitoring Nonlinear and Non-Gaussian Processes Using Gaussian Mixture Model-Based Weighted Kernel Independent Component Analysis. - Lianfang Cai; Xuemin Tian; Sheng Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis. - Hanyuan Zhang; Xuemin Tian; Xiaogang Deng; Yuping Cao (Neurocomputing, 2018)

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis. - Xiaogang Deng; Xuemin Tian; Sheng Chen 001; Chris J. Harris (IEEE Trans. Neural Networks Learn. Syst., 2018)

Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring. - Xiaogang Deng; Xuemin Tian; Sheng Chen 001; Chris J. Harris (IEEE Trans. Control. Syst. Technol., 2019)