The application of wavelet neural networks to nonlinear predictive control. - Dexian Huang; Yihui Jin (ICNN, 1997)

RBFNN-Based Multiple Steady States Controller for Nonlinear System and Its Application. - Xiugai Li; Dexian Huang; Yihui Jin (ISNN (3), 2005)

Designing Neural Networks Using Hybrid Particle Swarm Optimization. - Bo Liu 008; Ling Wang 001; Yihui Jin; Dexian Huang (ISNN (1), 2005)

Nonlinear Predictive Control Based on Wavelet Neural Network Applied to Polypropylene Process. - Xiaohua Xia; Zhiyan Luan; Dexian Huang; Yihui Jin (ISNN (3), 2005)

Multi-units Unified Process Optimization Under Uncertainty Based on Differential Evolution with Hypothesis Test. - Wenxiang Lv; Bin Qian 001; Dexian Huang; Yihui Jin (ICIC (2), 2007)

DE and NLP Based QPLS Algorithm. - Xiaodong Yu; Dexian Huang; Xiong Wang; Bo Liu (ICIC (2), 2007)

Designing Neural Networks Using PSO-Based Memetic Algorithm. - Bo Liu 008; Ling Wang 001; Yihui Jin; Dexian Huang (ISNN (3), 2007)

An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers. - Bin Qian 001; Ling Wang 001; Dexian Huang; Wanliang Wang; Xiong Wang (Comput. Oper. Res., 2009)

Multi-objective no-wait flow-shop scheduling with a memetic algorithm based on differential evolution. - Bin Qian 001; Ling Wang 001; Dexian Huang; Xiong Wang (Soft Comput., 2009)

Optimization on distillation via piecewise linear approximation. - Ying Zhu; Wenxiang Lu; Xiaoyong Gao; Yongheng Jiang; Dexian Huang (ICCA, 2010)

Intelligent switching expert system for delayed coking unit based on iterative learning strategy. - Xiaodong Yu; Yujie Wei; Dexian Huang; Yongheng Jiang; Bo Liu 008; Yihui Jin (Expert Syst. Appl., 2011)

Extended-AUDI method for simultaneous determination of causality and models from process data. - Benben Jiang; Fan Yang 005; Dexian Huang; Wei Wang 016 (ACC, 2013)

A novel high level canonical piecewise linear model based on the simplicial partition and its application. - Xiaoyong Gao; Yongheng Jiang; Dexian Huang; Zhihua Xiong (ICCA, 2013)

Prediction of syngas compositions in shell coal gasification process via dynamic soft-sensing method. - Pengfei Ji; Xinqing Gao; Dexian Huang; Yue Yang (ICCA, 2013)

A novel probabilistic approximate subgradient method in Lagrangian Relaxation for flow-shop scheduling problems. - Lei Shi; Yongheng Jiang; Dexian Huang (ICCA, 2013)

Novel Bayesian Framework for Dynamic Soft Sensor Based on Support Vector Machine With Finite Impulse Response. - Chao Shang 002; Xinqing Gao; Fan Yang 005; Dexian Huang (IEEE Trans. Control. Syst. Technol., 2014)

Detecting and isolating plant-wide oscillations via slow feature analysis. - Xinqing Gao; Chao Shang 002; Fan Yang 005; Dexian Huang (ACC, 2015)

Extracting latent dynamics from process data for quality prediction and performance assessment via slow feature regression. - Chao Shang 002; Fan Yang 005; Xinqing Gao; Dexian Huang (ACC, 2015)

Simultaneous identification of bi-directional paths in closed-loop systems with coloured noise. - Benben Jiang; Fan Yang 005; Wei Wang 016; Dexian Huang (Autom., 2015)

Optimizing scheduling of refinery operations based on piecewise linear models. - Xiaoyong Gao; Yongheng Jiang; Tao Chen 009; Dexian Huang (Comput. Chem. Eng., 2015)

A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis. - Benben Jiang; Xiaoxiang Zhu 005; Dexian Huang; Joel A. Paulson; Richard D. Braatz (Comput. Chem. Eng., 2015)

Simultaneous Identification of Bidirectional Path Models Based on Process Data. - Benben Jiang; Fan Yang 005; Wei Wang 016; Dexian Huang (IEEE Trans Autom. Sci. Eng., 2015)

A robust integrated predictive iterative learning control based on updating reference for point-to-point tracking. - Weiwei Qiu; Jie Ma; Zhihua Xiong; Dexian Huang; Wanzhou Li (ACC, 2016)

Fault detection for ironmaking process based on stacked denoising autoencoders. - Tongshuai Zhang; Wei Wang 016; Hao Ye 001; Dexian Huang; Haifeng Zhang 005; Mingliang Li (ACC, 2016)

Intelligent computing budget allocation for on-road trajectory planning based on candidate curves. - Xiao-xin Fu; Yongheng Jiang; Dexian Huang; Jing-Chun Wang; Kaisheng Huang (Frontiers Inf. Technol. Electron. Eng., 2016)

Automatic hyper-parameter tuning for soft sensor modeling based on dynamic deep neural network. - Kangcheng Wang; Chao Shang 002; Fan Yang 005; Yongheng Jiang; Dexian Huang (SMC, 2017)

Soft sensor development and applications based on LSTM in deep neural networks. - Wensi Ke Tsinghua; Dexian Huang; Fan Yang 005; Yongheng Jiang (SSCI, 2017)

Dynamic Soft Sensor Based on Impulse Response Template and Deep Neural Network for Industrial Processes. - Lei Liu; Kangcheng Wang; Chao Shang 002; Fan Yang 005; Wenxiang Lyu; Dexian Huang (FSDM, 2018)

Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes. - Chao Shang 002; Fan Yang 005; Biao Huang 001; Dexian Huang (IEEE Trans. Ind. Electron., 2018)

Reaction temperature estimation in Shell coal gasification process. - Kangcheng Wang; Chao Shang 002; Fan Yang 005; Yongheng Jiang; Dexian Huang (CASE, 2019)

A Probability Model-based Memetic Algorithm for Distributed Heterogeneous Flow-Shop Scheduling. - Jingfang Chen 001; Ling Wang 001; Xiao He; Dexian Huang (CEC, 2019)

Multiple Kernel Learning-Based Uncertainty Set Construction for Robust optimization. - Biao Han; Chao Shang 002; Fan Yang 005; Dexian Huang (ICCA, 2019)

Multiple kernel learning-aided robust optimization: Learning algorithm, computational tractability, and usage in multi-stage decision-making. - Biao Han; Chao Shang 002; Dexian Huang (Eur. J. Oper. Res., 2021)

A Holistic Probabilistic Framework for Monitoring Nonstationary Dynamic Industrial Processes. - David Scott; Chao Shang 002; Biao Huang 001; Dexian Huang (IEEE Trans. Control. Syst. Technol., 2021)

Distributionally robust chance constraint with unimodality-skewness information and conic reformulation. - Chao Shang 002; Chao Wang; Keyou You; Dexian Huang (Oper. Res. Lett., 2022)

Accelerated Nonconvex ADMM with Self-Adaptive Penalty for Rank-Constrained Model Identification. - Qingyuan Liu; Zhengchao Huang; Hao Ye 001; Dexian Huang; Chao Shang 002 (CDC, 2023)

Data-Driven Predictive Control Using Closed-Loop Data: An Instrumental Variable Approach. - Yibo Wang; Yiwen Qiu; Malika Sader; Dexian Huang; Chao Shang 002 (IEEE Control. Syst. Lett., 2023)

Efficient Relay Autotuner of Industrial Controllers via Rank-Constrained Identification of Low-Order Time-Delay Models. - Qingyuan Liu; Chao Shang 002; Tao Liu 002; Dexian Huang (IEEE Trans. Control. Syst. Technol., 2023)

From Generalized Gauss Bounds to Distributionally Robust Fault Detection With Unimodality Information. - Chao Shang 002; Hao Ye 001; Dexian Huang; Steven X. Ding (IEEE Trans. Autom. Control., 2023)

Data-Driven Fault Detection for Lithium-Ion Battery Packs via Behavioral System Representation. - Hailang Jin; Yibo Wang; Dexian Huang; Chao Shang 002 (CCTA, 2024)

Data-Driven Output Containment Control of Heterogeneous Multiagent Systems: A Hierarchical Scheme. - Malika Sader; Wenyu Li; Yanhui Yin; Zhongmei Li; Dexian Huang; Zhongxin Liu 001; Xiao He; Chao Shang 002 (CDC, 2024)

Data-driven output prediction and control of stochastic systems: An innovation-based approach. - Yibo Wang; Keyou You; Dexian Huang; Chao Shang 002 (Autom., 2025)

Dynamic-Inner White Component Analysis: A New Latent Variable Model for Dynamic Data Analytics and Process Monitoring. - Kaida Huo; Dexian Huang; Fan Yang 005; Chao Shang 002 (IEEE Trans Autom. Sci. Eng., 2025)

A Novel Accuracy-Constrained Scheme for Efficient Trend Extraction of Industrial Time-Series Data. - Ju Liu; Jiayi Zhao; Hao Ye 001; Dexian Huang; Chao Shang 002 (IEEE Trans. Instrum. Meas., 2025)

Causality-Informed Data-Driven Predictive Control. - Malika Sader; Yibo Wang; Dexian Huang; Chao Shang 002; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2025)