A neurocomputing model for real coded genetic algorithm with the minimal generation gap. - Daoxiong Gong; Xiaogang Ruan; Junfei Qiao 001 (Neural Comput. Appl., 2004)

State-PID feedback control with application to a robot vibration absorber. - Ge Guo 001; Zi Ma; Junfei Qiao 001 (Int. J. Model. Identif. Control., 2006)

Infinite-Horizon Optimal Control Based on Continuous-Time Continuous-State Hopfield Neural Networks. - Ming-Ai Li; Naigong Yu; Junfei Qiao 001; Xiaogang Ruan (Int. J. Wavelets Multiresolution Inf. Process., 2006)

On-line adaptive control for inverted pendulum balancing based on feedback-error-learning. - Xiaogang Ruan; Mingxiao Ding; Daoxiong Gong; Junfei Qiao 001 (Neurocomputing, 2007)

A tabu based neural network learning algorithm. - Jian Ye; Junfei Qiao 001; Ming-Ai Li; Xiaogang Ruan (Neurocomputing, 2007)

A new growing self-organizing neuron-fuzzy network with application to wastewater treatment. - Junfei Qiao 001; Honggui Han (FUZZ-IEEE, 2008)

Research on Fuzzy Neural Network Based on Lyapunov Stability Theory and its Application. - Junfei Qiao 001; Honggui Han; Xiaogang Ruan (ICNSC, 2008)

Structure Automatic Change in Neural Network. - Honggui Han; Junfei Qiao 001; Xinyuan Li (ISNN (1), 2008)

Fast unit pruning algorithm for feedforward neural network design. - Junfei Qiao 001; Ying Zhang; Hong-Gui Han (Appl. Math. Comput., 2008)

A self-organizing fuzzy neural network and its applications to function approximation and forecast modeling. - Junfei Qiao 001; Huidong Wang (Neurocomputing, 2008)

A novel pruning algorithm for self-organizing neural network. - Honggui Han; Junfei Qiao 001 (IJCNN, 2009)

A self-organizing neural network using fast training and pruning. - Junfei Qiao 001; Miao Li; Hong-Gui Han (IJCNN, 2009)

Q-Learning Based on Dynamical Structure Neural Network for Robot Navigation in Unknown Environment. - Junfei Qiao 001; Ruiyuan Fan; Honggui Han; Xiaogang Ruan (ISNN (3), 2009)

An improved recurrent neural network and its application in nonlinear control. - Qili Chen; Honggui Han; Junfei Qiao 001 (BIC-TA, 2010)

A merging and splitting algorithm based on mutual information for design neural networks. - Zhaozhao Zhang; Qili Chen; Junfei Qiao 001 (BIC-TA, 2010)

Research on structure dynamic neural networks. - Honggui Han; Junfei Qiao 001; Xinyuan Li (Int. J. Model. Identif. Control., 2010)

A Repair Algorithm for Radial Basis Function Neural Network and its Application to Chemical oxygen Demand Modeling. - Junfei Qiao 001; Hong-Gui Han (Int. J. Neural Syst., 2010)

Research on an online self-organizing radial basis function neural network. - Honggui Han; Qili Chen; Junfei Qiao 001 (Neural Comput. Appl., 2010)

A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm. - Honggui Han; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2010)

Research on Design Method of Small World Property ESN. - Yingchun Bo; Junfei Qiao 001; Shuwei Wang (ISNN (1), 2011)

A Stable Online Self-Constructing Recurrent Neural Network. - Qili Chen; Wei Chai; Junfei Qiao 001 (ISNN (3), 2011)

A Novel Spatial Architecture Artificial Neural Network Based on Multilayer Feedforward Network with Mutual Inhibition among Hidden Units. - Gang Yang 004; Junfei Qiao 001; Mingzhe Yuan (ISNN (1), 2011)

Adaptive dissolved oxygen control based on dynamic structure neural network. - Hong-Gui Han; Junfei Qiao 001 (Appl. Soft Comput., 2011)

Optimal water distribution network design with improved particle swarm optimisation. - Junfei Qiao 001; Yu-Fang Wang; Wei Chai; Lin-Bo Sun (Int. J. Comput. Sci. Eng., 2011)

Research on artificial neural networks with spatial architecture based on span connection and lateral inhibition mechanism. - Gang Yang 004; Junfei Qiao 001; Yingchun Bo (Int. J. Comput. Sci. Eng., 2011)

Recurrent High Order Neural Network Modeling for Wastewater Treatment Process. - Junfei Qiao 001; Weiwei Yang; Ming zhe Yuan (J. Comput., 2011)

An efficient self-organizing RBF neural network for water quality prediction. - Hong-Gui Han; Qili Chen; Junfei Qiao 001 (Neural Networks, 2011)

The sludge volume index soft sensor model based on PCA-ElmanNN. - Xichun Yuan; Honggui Han; Junfei Qiao 001 (IJCNN, 2012)

Recurrent Neural Network-Based Control for Wastewater Treatment Process. - Junfei Qiao 001; Xiaoqi Huang; Honggui Han (ISNN (2), 2012)

Soft Measurement Modeling Based on Hierarchically Neural Network (HNN) for Wastewater Treatment. - Junfei Qiao 001; Donghong Ren; Honggui Han (ISNN (2), 2012)

Identification and modeling of nonlinear dynamical systems using a novel self-organizing RBF-based approach. - Junfei Qiao 001; Hong-Gui Han (Autom., 2012)

Adaptive Computation Algorithm for RBF Neural Network. - Hong-Gui Han; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Robust fault detection using set membership estimation and T-S fuzzy neural network. - Wei Chai; Junfei Qiao 001; Heng Wang (ACC, 2013)

The Effect of Lateral Inhibitory Connections in Spatial Architecture Neural Network. - Gang Yang 004; Junfei Qiao 001; Wei Li 165; Wei Chai (ISNN (1), 2013)

Non-linear system identification and fault detection method using RBF neural networks with set membership estimation. - Wei Chai; Junfei Qiao 001 (Int. J. Model. Identif. Control., 2013)

A structure optimisation algorithm for feedforward neural network construction. - Hong-Gui Han; Junfei Qiao 001 (Neurocomputing, 2013)

Efficient self-organizing multilayer neural network for nonlinear system modeling. - Hong-Gui Han; Lidan Wang; Junfei Qiao 001 (Neural Networks, 2013)

Hierarchical Neural Network Modeling Approach to Predict Sludge Volume Index of Wastewater Treatment Process. - Honggui Han; Junfei Qiao 001 (IEEE Trans. Control. Syst. Technol., 2013)

Real-Time Model Predictive Control Using a Self-Organizing Neural Network. - Hong-Gui Han; Xiao-Long Wu; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

An input-output clustering approach for structure identification of T-S fuzzy neural networks. - Wei Li 165; Honggui Han; Junfei Qiao 001 (CICA, 2014)

A Spiking-based mechanism for self-organizing RBF neural networks. - Honggui Han; Lidan Wang; Junfei Qiao 001; Gang Feng 001 (IJCNN, 2014)

An improved RBM based on Bayesian Regularization. - Guangyuan Pan; Junfei Qiao 001; Wei Chai; Nikitas Dimopoulos (IJCNN, 2014)

A brain-like multi-hierarchical modular neural network with applications to gas concentration forecasting. - Zhaozhao Zhang; Jun-Fei Qiao 001 (IJCNN, 2014)

A fast and efficient two-phase sequential learning algorithm for spatial architecture neural network. - Gang Yang 004; Junfei Qiao 001 (Appl. Soft Comput., 2014)

A fuzzy neural network approach for online fault detection in waste water treatment process. - Honggui Han; Ying Li; Junfei Qiao 001 (Comput. Electr. Eng., 2014)

Passive robust fault detection using RBF neural modeling based on set membership identification. - Wei Chai; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2014)

Hierarchical extreme learning machine for feedforward neural network. - Hong-Gui Han; Lidan Wang; Junfei Qiao 001 (Neurocomputing, 2014)

An online self-adaptive modular neural network for time-varying systems. - Junfei Qiao 001; Zhaozhao Zhang; Yingchun Bo (Neurocomputing, 2014)

Nonlinear Systems Modeling Based on Self-Organizing Fuzzy-Neural-Network With Adaptive Computation Algorithm. - Honggui Han; Xiao-Long Wu; Junfei Qiao 001 (IEEE Trans. Cybern., 2014)

Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process. - Honggui Han; Junfei Qiao 001 (IEEE Trans. Ind. Electron., 2014)

Accurate similarity analysis and computing of Gaussian membership functions for FNN simplification. - Wei Li 165; Junfei Qiao 001; Xiao-Jun Zeng (FSKD, 2015)

Dissolved oxygen control system based on the T-S fuzzy neural network. - Wen-Tao Fu; Junfei Qiao 001; Gaitang Han; Xi Meng (IJCNN, 2015)

An ART-like algorithm for constructing RBF neural networks. - Xi Meng; Junfei Qiao 001; Hong-Gui Han (IJCNN, 2015)

A Direct Self-Constructing Neural Controller Design for a Class of Nonlinear Systems. - Honggui Han; Wendong Zhou; Junfei Qiao 001; Gang Feng 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

A soft computing method to predict sludge volume index based on a recurrent self-organizing neural network. - Honggui Han; Ying Li; Ya-Nan Guo; Junfei Qiao 001 (Appl. Soft Comput., 2016)

A self-organizing cascade neural network with random weights for nonlinear system modeling. - Fanjun Li; Junfei Qiao 001; Honggui Han; Cuili Yang (Appl. Soft Comput., 2016)

Identification of fuzzy neural networks by forward recursive input-output clustering and accurate similarity analysis. - Junfei Qiao 001; Wei Li 165; Xiao-Jun Zeng; Honggui Han (Appl. Soft Comput., 2016)

An adaptive second order fuzzy neural network for nonlinear system modeling. - Hong-Gui Han; Lu-Ming Ge; Junfei Qiao 001 (Neurocomputing, 2016)

Constructive algorithm for fully connected cascade feedforward neural networks. - Junfei Qiao 001; Fanjun Li; Honggui Han; Wenjing Li 004 (Neurocomputing, 2016)

Mutual information based weight initialization method for sigmoidal feedforward neural networks. - Junfei Qiao 001; Sanyi Li; Wenjing Li 004 (Neurocomputing, 2016)

Self-organizing fuzzy control for dissolved oxygen concentration using fuzzy neural network. - Junfei Qiao 001; Wei Zhang 131; Honggui Han (J. Intell. Fuzzy Syst., 2016)

Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network. - Hong-Gui Han; Lu Zhang 031; Ying Hou; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Modeling mill load parameter based on LASSO using multi-scale high dimensional frequency spectra data1. - Jian Tang 003; Jun-Fei Qiao 001; Zhuo Liu; Tianyou Chai; Wen Yu 001 (ICIA, 2017)

Using multiscale analysis for blind quality assessment of DIBR-synthesized images. - Ke Gu 001; Junfei Qiao 001; Patrick Le Callet; Zhifang Xia; Weisi Lin (ICIP, 2017)

Temporal request scheduling for energy-efficient cloud data centers. - Jing Bi 001; Haitao Yuan 001; Junfei Qiao 001; MengChu Zhou; Xiao Song 001 (ICNSC, 2017)

Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model. - Jian Tang 003; Junfei Qiao 001; Zhiwei Wu; Jian Zhang 054; Aijun Yan (ICONIP (1), 2017)

Compression-Based Quality Predictor of 3D-Synthesized Views. - Sanyi Li; Junfei Qiao 001; Maoshen Liu; Li Wu (IFTC, 2017)

How to Efficiently Identify Real and Pseudo 4K Video Contents? - Maoshen Liu; Junfei Qiao 001; Li Wu; Huiqing Zhang (IFTC, 2017)

An adaptive multi-objective differential evolution algorithm based on evolutionary process information. - Ying Hou; Cuili Yang; Junfei Qiao 001; Honggui Han (SPAC, 2017)

Wastewater treatment control method based on a rule adaptive recurrent fuzzy neural network. - Junfei Qiao 001; Gaitang Han; Honggui Han; Wei Chai (Int. J. Intell. Comput. Cybern., 2017)

Self-organization of a recurrent RBF neural network using an information-oriented algorithm. - Hong-Gui Han; Ya-Nan Guo; Junfei Qiao 001 (Neurocomputing, 2017)

Modeling of nonlinear systems using the self-organizing fuzzy neural network with adaptive gradient algorithm. - Hong-Gui Han; Zheng-Lai Lin; Junfei Qiao 001 (Neurocomputing, 2017)

An adaptive growing and pruning algorithm for designing recurrent neural network. - Hong-Gui Han; Shuo Zhang; Junfei Qiao 001 (Neurocomputing, 2017)

An improved algorithm for building self-organizing feedforward neural networks. - Junfei Qiao 001; Sanyi Li; Honggui Han; Dianhui Wang 001 (Neurocomputing, 2017)

A Hybrid Intelligent Optimal Control System Design for Wastewater Treatment Process. - Junfei Qiao 001; Gaitang Han; Honggui Han; Cuili Yang; Wei Li 165 (Inf. Technol. Control., 2017)

An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods. - Honggui Han; Wei Lu; Junfei Qiao 001 (IEEE Trans. Cybern., 2017)

No-Reference Quality Assessment of Screen Content Pictures. - Ke Gu 001; Jun Zhou 007; Junfei Qiao 001; Guangtao Zhai; Weisi Lin; Alan Conrad Bovik (IEEE Trans. Image Process., 2017)

Growing Echo-State Network With Multiple Subreservoirs. - Junfei Qiao 001; Fanjun Li; Honggui Han; Wenjing Li 004 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Convolutional Neural Network for Smoke Image Super-Resolution. - Maoshen Liu; Ke Gu 001; Junfei Qiao 001 (CSAE, 2018)

Selective Ensemble Modeling Approach based on Variable Importance of Projection With its Application. - Jian Tang 003; Jun-Fei Qiao 001; Wen Yu 001 (ICIA, 2018)

Learn a Deep Convolutional Neural Network for Image Smoke Detection. - Maoshen Liu; Ke Gu 001; Li Wu; Xin Xu; Junfei Qiao 001 (IFTC, 2018)

Data-Based Predictive Control for Wastewater Treatment Process. - Honggui Han; Lu Zhang 031; Junfei Qiao 001 (IEEE Access, 2018)

Design of Dynamic Modular Neural Network Based on Adaptive Particle Swarm Optimization Algorithm. - Junfei Qiao 001; Chao Lu 004; Wen-Jing Li (IEEE Access, 2018)

Highly Efficient Quality Assessment of 3D-Synthesized Views Based on Compression Technology. - Junfei Qiao 001; Maoshen Liu; Sanyi Li; Zengzeng He; Zhuang Yang (IEEE Access, 2018)

Adaptive Levenberg-Marquardt Algorithm Based Echo State Network for Chaotic Time Series Prediction. - Junfei Qiao 001; Lei Wang 173; Cuili Yang; Ke Gu 001 (IEEE Access, 2018)

Bare-Bones Multiobjective Particle Swarm Optimization Based on Parallel Cell Balanceable Fitness Estimation. - Junfei Qiao 001; Hongbiao Zhou; Cuili Yang (IEEE Access, 2018)

Design of Incremental Echo State Network Using Leave-One-Out Cross-Validation. - Cuili Yang; Xinxin Zhu; Zohaib Ahmad; Lei Wang 173; Junfei Qiao 001 (IEEE Access, 2018)

Nonlinear system modeling using a self-organizing recurrent radial basis function neural network. - Hong-Gui Han; Ya-Nan Guo; Junfei Qiao 001 (Appl. Soft Comput., 2018)

Multiobjective design of fuzzy neural network controller for wastewater treatment process. - Hong-Gui Han; Lu Zhang 031; Hong-Xu Liu; Junfei Qiao 001 (Appl. Soft Comput., 2018)

A self-organizing deep belief network for nonlinear system modeling. - Junfei Qiao 001; Gongming Wang; Xiaoli Li 011; Wenjing Li 004 (Appl. Soft Comput., 2018)

Local Exponential Stabilization of Semi-Linear Hyperbolic Systems by Means of a Boundary Feedback Control. - Liguo Zhang; Christophe Prieur 001; Junfei Qiao 001 (IEEE Control. Syst. Lett., 2018)

Modeling of energy consumption and effluent quality using density peaks-based adaptive fuzzy neural network. - Junfei Qiao 001; Hongbiao Zhou (IEEE CAA J. Autom. Sinica, 2018)

Stability analysis and L1-gain controller synthesis of switched positive T-S fuzzy systems with time-varying delays. - Shengli Du 001; Junfei Qiao 001 (Neurocomputing, 2018)

A self-organizing interval Type-2 fuzzy-neural-network for modeling nonlinear systems. - Hong-Gui Han; Zhi-Yuan Chen; Hong-Xu Liu; Junfei Qiao 001 (Neurocomputing, 2018)

Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation. - Junfei Qiao 001; Ying Hou; Lu Zhang 031; Hong-Gui Han (Neurocomputing, 2018)

An incremental neuronal-activity-based RBF neural network for nonlinear system modeling. - Junfei Qiao 001; Xi Meng; Wenjing Li 004 (Neurocomputing, 2018)

Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model. - Jian Tang 003; Junfei Qiao 001; Jian Zhang 054; Zhiwei Wu; Tianyou Chai; Wen Yu 001 (Neurocomputing, 2018)

Design of polynomial echo state networks for time series prediction. - Cuili Yang; Junfei Qiao 001; Honggui Han; Lei Wang 173 (Neurocomputing, 2018)

Stability and L1-gain analysis for switched positive T-S fuzzy systems under asynchronous switching. - Shengli Du 001; Junfei Qiao 001; Xudong Zhao 001; Rui Wang 023 (J. Frankl. Inst., 2018)

Dynamic multi-objective optimization control for wastewater treatment process. - Junfei Qiao 001; Wei Zhang 131 (Neural Comput. Appl., 2018)

An adaptive deep Q-learning strategy for handwritten digit recognition. - Junfei Qiao 001; Gongming Wang; Wenjing Li 004; Min Chen (Neural Networks, 2018)

A deep belief network with PLSR for nonlinear system modeling. - Junfei Qiao 001; Gongming Wang; Wenjing Li 004; Xiaoli Li 011 (Neural Networks, 2018)

Adaptive Gradient Multiobjective Particle Swarm Optimization. - Honggui Han; Wei Lu; Lu Zhang 031; Junfei Qiao 001 (IEEE Trans. Cybern., 2018)

Design of Self-Organizing Intelligent Controller Using Fuzzy Neural Network. - Hong-Gui Han; Xiao-Long Wu; Zheng Liu 018; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2018)

Recurrent Air Quality Predictor Based on Meteorology- and Pollution-Related Factors. - Ke Gu 001; Junfei Qiao 001; Weisi Lin (IEEE Trans. Ind. Informatics, 2018)

Nonlinear System Modeling Using RBF Networks for Industrial Application. - Xi Meng; Pawel Rózycki; Junfei Qiao 001; Bogdan M. Wilamowski (IEEE Trans. Ind. Informatics, 2018)

Model-Based Referenceless Quality Metric of 3D Synthesized Images Using Local Image Description. - Ke Gu 001; Vinit Jakhetiya; Junfei Qiao 001; Xiaoli Li 011; Weisi Lin; Daniel Thalmann (IEEE Trans. Image Process., 2018)

Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data. - Ke Gu 001; Dacheng Tao; Junfei Qiao 001; Weisi Lin (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Adaptive-PSO-Based Self-Organizing RBF Neural Network. - Hong-Gui Han; Wei Lu; Ying Hou; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Evaluating Quality of Screen Content Images Via Structural Variation Analysis. - Ke Gu 001; Junfei Qiao 001; Xiongkuo Min; Guanghui Yue 001; Weisi Lin; Daniel Thalmann (IEEE Trans. Vis. Comput. Graph., 2018)

Batch Gradient Training Method with Smoothing l_0 Regularization for Echo State Networks. - Zohaib Ahmad; Kaizhe Nie; Junfei Qiao 001; Cuili Yang (MLICOM, 2019)

An Accelerated PSO Based Self-organizing RBF Neural Network for Nonlinear System Identification and Modeling. - Zohaib Ahmad; Cuili Yang; Junfei Qiao 001 (MLICOM, 2019)

Sewage Treatment Control Method Based on Genetic-SOFNN. - Zhuang Yang; Cuili Yang; Junfei Qiao 001 (MLICOM, 2019)

A Backward Learning Algorithm in Polynomial Echo State Networks. - Cuili Yang; Xinxin Zhu; Junfei Qiao 001 (MLICOM, 2019)

An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling. - Gongming Wang; Junfei Qiao 001; Jing Bi 001; Mengchu Zhou (SMC, 2019)

An Improved Decomposition-based Multi-objective Evolutionary Algorithm with Enhanced Differential Evolution Strategy. - Yingbo Xie; Ying Hou; Junfei Qiao 001; Baocai Yin (SSCI, 2019)

Phase Partition and Fault Diagnosis of Batch Process Based on KECA Angular Similarity. - Chang Peng 001; Junfei Qiao 001; Xiangyu Zhang; Ruiwei Lu (IEEE Access, 2019)

Multiobjective optimal control for wastewater treatment process using adaptive MOEA/D. - Hongbiao Zhou; Junfei Qiao 001 (Appl. Intell., 2019)

A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty. - Junfei Qiao 001; Hongbiao Zhou; Cuili Yang; Shengxiang Yang (Appl. Soft Comput., 2019)

Input-to-state stability of coupled hyperbolic PDE-ODE systems via boundary feedback control. - Liguo Zhang; Jianru Hao; Junfei Qiao 001 (Sci. China Inf. Sci., 2019)

Fuzzy Neural Network-Based Model Predictive Control for Dissolved Oxygen Concentration of WWTPs. - Hong-Gui Han; Zheng Liu 018; Junfei Qiao 001 (Int. J. Fuzzy Syst., 2019)

Cooperative strategy for constructing interval type-2 fuzzy neural network. - Hong-Gui Han; Jia-Ming Li; Xiao-Long Wu; Junfei Qiao 001 (Neurocomputing, 2019)

Design and Implementation of the Visual Detection System for amphibious robots. - Yanlin He; Xu Zhang 051; Lianqing Zhu; Guangkai Sun; Junfei Qiao 001 (Int. J. Robotics Autom., 2019)

A regularization-reinforced DBN for digital recognition. - Junfei Qiao 001; Guangyuan Pan; Honggui Han (Nat. Comput., 2019)

Optimal control for wastewater treatment process based on an adaptive multi-objective differential evolution algorithm. - Junfei Qiao 001; Ying Hou; Hong-Gui Han (Neural Comput. Appl., 2019)

Hysteretic noisy frequency conversion sinusoidal chaotic neural network for traveling salesman problem. - Junfei Qiao 001; Zhiqiang Hu; Wenjing Li 004 (Neural Comput. Appl., 2019)

Adaptive lasso echo state network based on modified Bayesian information criterion for nonlinear system modeling. - Junfei Qiao 001; Lei Wang 173; Cuili Yang (Neural Comput. Appl., 2019)

Dynamical regularized echo state network for time series prediction. - Cuili Yang; Junfei Qiao 001; Lei Wang 173; Xinxin Zhu (Neural Comput. Appl., 2019)

Approximate neural optimal control with reinforcement learning for a torsional pendulum device. - Ding Wang 001; Junfei Qiao 001 (Neural Networks, 2019)

Online sequential echo state network with sparse RLS algorithm for time series prediction. - Cuili Yang; Junfei Qiao 001; Zohaib Ahmad; Kaizhe Nie; Lei Wang 173 (Neural Networks, 2019)

PI boundary control of linear hyperbolic balance laws with stabilization of ARZ traffic flow models. - Liguo Zhang; Christophe Prieur 001; Junfei Qiao 001 (Syst. Control. Lett., 2019)

Design of a hierarchy modular neural network and its application in multimodal emotion recognition. - Wenjing Li 004; Minghui Chu; Junfei Qiao 001 (Soft Comput., 2019)

Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum. - Jian Tang 003; Junfei Qiao 001; Zhuo Liu; Xiaojie Zhou; Gang Yu; Jianjun Zhao (Soft Comput., 2019)

TL-GDBN: Growing Deep Belief Network With Transfer Learning. - Gongming Wang; Junfei Qiao 001; Jing Bi 001; Wenjing Li 004; MengChu Zhou (IEEE Trans Autom. Sci. Eng., 2019)

Stability Analysis for a Class of Discrete-Time Switched Systems With Partial Unstable Subsystems. - Shengli Du 001; Hamid Reza Karimi; Junfei Qiao 001; Di Wu 038; Chao Feng (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

A Self-Organizing Sliding-Mode Controller for Wastewater Treatment Processes. - Honggui Han; Xiao-Long Wu; Junfei Qiao 001 (IEEE Trans. Control. Syst. Technol., 2019)

Self-Organizing RBF Neural Network Using an Adaptive Gradient Multiobjective Particle Swarm Optimization. - Honggui Han; Xiao-Long Wu; Lu Zhang 031; Yu Tian; Junfei Qiao 001 (IEEE Trans. Cybern., 2019)

An Efficient Second-Order Algorithm for Self-Organizing Fuzzy Neural Networks. - Honggui Han; Lu Zhang 031; Xiao-Long Wu; Junfei Qiao 001 (IEEE Trans. Cybern., 2019)

An Efficient Optimization Method for Improving Generalization Performance of Fuzzy Neural Networks. - Honggui Han; Xiao-Long Wu; Hongxu Liu; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2019)

Highly Efficient Picture-Based Prediction of PM2.5 Concentration. - Ke Gu 001; Junfei Qiao 001; Xiaoli Li 011 (IEEE Trans. Ind. Electron., 2019)

Effective and Efficient Photo-Based PM2.5 Concentration Estimation. - Guanghui Yue 001; Ke Gu 001; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2019)

Leader-following consensus for nonlinear multiagent systems with large delays. - Shengli Du 001; Junfei Qiao 001; Wei Li 165 (Trans. Inst. Meas. Control, 2019)

Design of RBF Neural Network Based on Improved Canopy-K-means algorithm. - Lijie Jia; Wenjing Li 004; Junfei Qiao 001 (HPCCT/BDAI, 2020)

Fault detection of dissolved oxygen sensor in wastewater treatment plants. - Xuemeng Li; Wei Chai; Tong Liu; Junfei Qiao 001 (IECON, 2020)

A Self-Organizing Modular Neural Network for Nonlinear System Modeling. - Xi Meng; Limin Quan; Junfei Qiao 001 (IJCNN, 2020)

Design of Echo State Network with Coordinate Descent Method and l1 Regularization. - Cuili Yang; Zhanhong Wu; Junfei Qiao 001 (NCAA, 2020)

Data-based composite control design with critic intelligence for a wastewater treatment platform. - Ding Wang 001; Mingming Ha; Junfei Qiao 001; Jun Yan 007; Yingbo Xie (Artif. Intell. Rev., 2020)

An online self-organizing modular neural network for nonlinear system modeling. - Junfei Qiao 001; Xin Guo 014; Wen-Jing Li (Appl. Soft Comput., 2020)

Design of modeling error PDF based fuzzy neural network for effluent ammonia nitrogen prediction. - Junfei Qiao 001; Limin Quan; Cuili Yang (Appl. Soft Comput., 2020)

Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis. - Wei Li 165; Junfei Qiao 001; Xiao-Jun Zeng; Shengli Du 001 (Fuzzy Sets Syst., 2020)

A self-organizing RBF neural network based on distance concentration immune algorithm. - Junfei Qiao 001; Fei Li; Cuili Yang; Wenjing Li 004; Ke Gu 001 (IEEE CAA J. Autom. Sinica, 2020)

Robust Deep Neural Network Using Fuzzy Denoising Autoencoder. - Hong-Gui Han; Hui-Juan Zhang; Junfei Qiao 001 (Int. J. Fuzzy Syst., 2020)

Design of a self-organizing reciprocal modular neural network for nonlinear system modeling. - Wenjing Li 004; Meng Li 007; Junkai Zhang; Junfei Qiao 001 (Neurocomputing, 2020)

A self-organizing deep belief network based on information relevance strategy. - Ying-Xu Wang; Hong-Gui Han; Min Guo; Junfei Qiao 001 (Neurocomputing, 2020)

Forward and backward input variable selection for polynomial echo state networks. - Cuili Yang; Xinxin Zhu; Junfei Qiao 001; Kaizhe Nie (Neurocomputing, 2020)

An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection. - Junfei Qiao 001; Fei Li; Shengxiang Yang; Cuili Yang; Wenjing Li 004; Ke Gu 001 (Inf. Sci., 2020)

Design of Extreme Learning Machine with Smoothed ℓ 0 Regularization. - Cuili Yang; Kaizhe Nie; Junfei Qiao 001; Bing Li (Mob. Networks Appl., 2020)

An online self-organizing algorithm for feedforward neural network. - Junfei Qiao 001; Xin Guo 014; Wen-Jing Li (Neural Comput. Appl., 2020)

A novel modular RBF neural network based on a brain-like partition method. - Junfei Qiao 001; Xi Meng; Wen-Jing Li; Bogdan M. Wilamowski (Neural Comput. Appl., 2020)

A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling. - Wenjing Li 004; Minghui Chu; Junfei Qiao 001 (Neural Networks, 2020)

A sparse deep belief network with efficient fuzzy learning framework. - Gongming Wang; Qing-Shan Jia; Junfei Qiao 001; Jing Bi 001; Caixia Liu (Neural Networks, 2020)

Local Proportional-Integral Boundary Feedback Stabilization for Quasilinear Hyperbolic Systems of Balance Laws. - Liguo Zhang; Christophe Prieur 001; Junfei Qiao 001 (SIAM J. Control. Optim., 2020)

Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation. - Ding Wang 001; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Autom. Control., 2020)

Multiscale Natural Scene Statistical Analysis for No-Reference Quality Evaluation of DIBR-Synthesized Views. - Ke Gu 001; Junfei Qiao 001; Sanghoon Lee 001; Hantao Liu; Weisi Lin; Patrick Le Callet (IEEE Trans. Broadcast., 2020)

Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances. - Ke Gu 001; Xin Xu; Junfei Qiao 001; Qiuping Jiang; Weisi Lin; Daniel Thalmann (IEEE Trans. Big Data, 2020)

Data-Knowledge-Based Fuzzy Neural Network for Nonlinear System Identification. - Xiao-Long Wu; Honggui Han; Zheng Liu 018; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2020)

Data-Driven Multiobjective Predictive Control for Wastewater Treatment Process. - Honggui Han; Zheng Liu 018; Ying Hou; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2020)

Stacked Selective Ensemble for PM2.5 Forecast. - Ke Gu 001; Zhifang Xia; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2020)

Vision-Based Monitoring of Flare Soot. - Ke Gu 001; Yonghui Zhang; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2020)

Random Forest Ensemble for River Turbidity Measurement From Space Remote Sensing Data. - Ke Gu 001; Yonghui Zhang; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2020)

Deep Dual-Channel Neural Network for Image-Based Smoke Detection. - Ke Gu 001; Zhifang Xia; Junfei Qiao 001; Weisi Lin (IEEE Trans. Multim., 2020)

An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines. - Gongming Wang; Junfei Qiao 001; Jing Bi 001; Qing-Shan Jia; MengChu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2020)

Design of Robust Sliding Mode Control With Adaptive Reaching Law. - Honggui Han; Xiao-Long Wu; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network. - Junfei Qiao 001; Longyang Wang (Appl. Intell., 2021)

A metric-based meta-learning approach combined attention mechanism and ensemble learning for few-shot learning. - Nan Guo; Kexin Di; Hongyan Liu 004; Yifei Wang; Junfei Qiao 001 (Displays, 2021)

Knowledge-Based Fuzzy Broad Learning Algorithm for Warning Membrane Fouling. - Hong-Gui Han; Qian Zhang; Zheng Liu 018; Junfei Qiao 001 (Int. J. Fuzzy Syst., 2021)

Accelerated gradient algorithm for RBF neural network. - Hong-Gui Han; Miaoli Ma; Junfei Qiao 001 (Neurocomputing, 2021)

Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning. - Gongming Wang; Qing-Shan Jia; MengChu Zhou; Jing Bi 001; Junfei Qiao 001 (Neurocomputing, 2021)

Command-filter-based adaptive neural tracking control for strict-feedback stochastic nonlinear systems with input dead-zone. - Ke Xu 016; Huanqing Wang 001; Qiang Zhang; Ming Chen 020; Junfei Qiao 001; Ben Niu 003 (Int. J. Syst. Sci., 2021)

A novel decomposition-based multiobjective evolutionary algorithm using improved multiple adaptive dynamic selection strategies. - Yingbo Xie; Junfei Qiao 001; Ding Wang 001; Baocai Yin (Inf. Sci., 2021)

A self-organizing recurrent fuzzy neural network based on multivariate time series analysis. - Haixu Ding; Wen-Jing Li; Junfei Qiao 001 (Neural Comput. Appl., 2021)

An adaptive task-oriented RBF network for key water quality parameters prediction in wastewater treatment process. - Xi Meng; Yin Zhang; Junfei Qiao 001 (Neural Comput. Appl., 2021)

Deep forest regression based on cross-layer full connection. - Jian Tang 003; Heng Xia; Jian Zhang 054; Junfei Qiao 001; Wen Yu 001 (Neural Comput. Appl., 2021)

Design of sparse Bayesian echo state network for time series prediction. - Lei Wang 173; Zhong Su; Junfei Qiao 001; Cuili Yang (Neural Comput. Appl., 2021)

Improved deep CNNs based on Nonlinear Hybrid Attention Module for image classification. - Nan Guo; Ke Gu 001; Junfei Qiao 001; Jing Bi 001 (Neural Networks, 2021)

Optimizations on unknown low-dimensional structures given by high-dimensional data. - Qili Chen; Jiuhe Wang; Junfei Qiao 001; Yi Ming Zou (Soft Comput., 2021)

A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization. - Sanyi Li; Shengxiang Yang; Yanfeng Wang; Weichao Yue; Junfei Qiao 001 (Swarm Evol. Comput., 2021)

Boundary Observer Design for Stochastic Phase Transition Models of Nonequilibrium Traffic Flow. - Liguo Zhang; Xiaoli Li 011; Jianru Hao; Junfei Qiao 001 (IEEE Trans. Autom. Control., 2021)

Adaptive Fuzzy Fast Finite-Time Dynamic Surface Tracking Control for Nonlinear Systems. - Huanqing Wang 001; Ke Xu 016; Peter Xiaoping Liu; Junfei Qiao 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Dynamic MOPSO-Based Optimal Control for Wastewater Treatment Process. - Hong-Gui Han; Zheng Liu 018; Wei Lu; Ying Hou; Junfei Qiao 001 (IEEE Trans. Cybern., 2021)

Cooperative Optimal Controller and Its Application to Activated Sludge Process. - Hong-Gui Han; Lu Zhang 031; Lin-Lin Zhang; Zheng He; Junfei Qiao 001 (IEEE Trans. Cybern., 2021)

Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant. - Ding Wang 001; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Ind. Electron., 2021)

Ensemble Meta-Learning for Few-Shot Soot Density Recognition. - Ke Gu 001; Yonghui Zhang; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2021)

Cooperative Fuzzy-Neural Control for Wastewater Treatment Process. - Honggui Han; Hongxu Liu; Jiaming Li; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2021)

Prediction of Oxygen Content Using Weighted PCA and Improved LSTM Network in MSWI Process. - Jian Sun 028; Xi Meng; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2021)

PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning. - Ke Gu 001; Hongyan Liu 004; Zhifang Xia; Junfei Qiao 001; Weisi Lin; Daniel Thalmann (IEEE Trans. Neural Networks Learn. Syst., 2021)

Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System. - Gongming Wang; Qing-Shan Jia; Junfei Qiao 001; Jing Bi 001; MengChu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2021)

Data-Driven Intelligent Warning Method for Membrane Fouling. - Xiao-Long Wu; Honggui Han; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Fixed-Time Cooperative Relay Tracking in Multiagent Surveillance Networks. - Shengli Du 001; Junfei Qiao 001; Daniel W. C. Ho; Lijun Zhu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Knowledge-Data-Driven Model Predictive Control for a Class of Nonlinear Systems. - Honggui Han; Zheng Liu 018; Hongxu Liu; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Intelligent Optimal Control System With Flexible Objective Functions and Its Applications in Wastewater Treatment Process. - Honggui Han; Lu Zhang 031; Hong-Xu Liu; Cuili Yang; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Rendezvous of Heterogeneous Multiagent Systems With Nonuniform Time-Varying Information Delays: An Adaptive Approach. - Jingyao Wang; Junfei Qiao 001; Guanghui Wen; Zhisheng Duan; Tingwen Huang (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Research on Air Quality Monitoring System Based on STM32 Single Chip Microcomputer. - Ting Shi; Pengyu Li; Wu Yang; Ailin Qi; Junfei Qiao 001 (ISPACS, 2022)

Hybrid Prediction for Water Quality with Bidirectional LSTM and Temporal Attention. - Jing Bi 001; Zexian Chen; Haitao Yuan 001; Yongze Lin; Junfei Qiao 001 (SMC, 2022)

LBPSC: A Hybrid Prediction Model for Chinese Named Entity Recognition in Water Environment. - Jing Bi 001; Kun Ni; Haitao Yuan 001; Junfei Qiao 001 (SMC, 2022)

Multi-indicator Water Time Series Imputation with Autoregressive Generative Adversarial Networks. - Jing Bi 001; Zichao Wang 004; Haitao Yuan 001; Kun Ni; Junfei Qiao 001 (SMC, 2022)

Multi-indicator Water Quality Prediction with ProbSparse Self-attention and Generative Decoder. - Jing Bi 001; Chunhui Zhang; Haitao Yuan 001; Ziyue Guan; Junfei Qiao 001 (SMC, 2022)

Integrated Spatio-Temporal Prediction for Water Quality with Graph Attention Network and WaveNet. - Jing Bi 001; Jun Zhang; Haitao Yuan 001; Junfei Qiao 001 (SMC, 2022)

Hybrid Water Quality Prediction with Graph Attention and Spatio-Temporal Fusion. - Yongze Lin; Junfei Qiao 001; Jing Bi 001; Haitao Yuan 001; Han Gao; MengChu Zhou (SMC, 2022)

Hybrid Water Quality Prediction with Bidirectional Long Short-Term Memory and Encoder-Decoder. - Luyao Zhang; Jing Bi 001; Haitao Yuan 001; Jun Zhang; Junfei Qiao 001 (SMC, 2022)

Artificial neural networks for water quality soft-sensing in wastewater treatment: a review. - Gongming Wang; Qing-Shan Jia; MengChu Zhou; Jing Bi 001; Junfei Qiao 001; Abdullah Abusorrah (Artif. Intell. Rev., 2022)

A pseudo-inverse decomposition-based self-organizing modular echo state network for time series prediction. - Lei Wang 173; Zhong Su; Junfei Qiao 001; Feng Deng (Appl. Soft Comput., 2022)

A multi-objective particle swarm optimization algorithm based on two-archive mechanism. - Yingying Cui; Xi Meng; Junfei Qiao 001 (Appl. Soft Comput., 2022)

Effluent ammonia nitrogen prediction using a phase space reconstruction method combining pipelined recurrent wavelet neural network. - Yin Su; Cuili Yang; Junfei Qiao 001 (Appl. Soft Comput., 2022)

Design of a modular neural network based on an improved soft subspace clustering algorithm. - Meng Li 007; Wenjing Li 004; Junfei Qiao 001 (Expert Syst. Appl., 2022)

Intelligent Warning of Membrane Fouling Based on Robust Deep Neural Network. - Xiao-Long Wu; Hong-Gui Han; Hui-Juan Zhang; Junfei Qiao 001 (Int. J. Fuzzy Syst., 2022)

Self-organizing radial basis function neural network using accelerated second-order learning algorithm. - Hong-Gui Han; Miao-Li Ma; Hong-Yan Yang 001; Junfei Qiao 001 (Neurocomputing, 2022)

Neural critic learning for tracking control design of constrained nonlinear multi-person zero-sum games. - Menghua Li; Ding Wang 001; Junfei Qiao 001 (Neurocomputing, 2022)

Multi-objective model predictive control with gradient eigenvector algorithm. - Honggui Han; Cong Chen; Haoyuan Sun; Shengli Du 001; Junfei Qiao 001 (Inf. Sci., 2022)

Robust echo state network with sparse online learning. - Cuili Yang; Kaizhe Nie; Junfei Qiao 001; Danlei Wang (Inf. Sci., 2022)

Stability and stabilization for switched positive systems under a weighted MDADT method. - Shengli Du 001; Jiangtao Dong; Xu Li; Junfei Qiao 001 (J. Frankl. Inst., 2022)

A PLS-based pruning algorithm for simplified long-short term memory neural network in time series prediction. - Wenjing Li 004; Xiaoxiao Wang; Honggui Han; Junfei Qiao 001 (Knowl. Based Syst., 2022)

A novel self-organizing TS fuzzy neural network for furnace temperature prediction in MSWI process. - Haijun He; Xi Meng; Jian Tang 003; Junfei Qiao 001 (Neural Comput. Appl., 2022)

DF classification algorithm for constructing a small sample size of data-oriented DF regression model. - Heng Xia; Jian Tang 003; Junfei Qiao 001; Jian Zhang 054; Wen Yu 001 (Neural Comput. Appl., 2022)

Emotional Neural Network Based on Improved CLPSO Algorithm For Time Series Prediction. - Hongye Zhang; Cuili Yang; Junfei Qiao 001 (Neural Process. Lett., 2022)

How Deep Is Deep Enough for Deep Belief Network for Approximating Model Predictive Control Law. - Gongming Wang; Junfei Qiao 001; Caixia Liu; Zhaoxu Shen (IEEE Trans Autom. Sci. Eng., 2022)

Secure Consensus of Multiagent Systems With Input Saturation and Distributed Multiple DoS Attacks. - Shengli Du 001; Qiushuo Yan; Lijing Dong; Junfei Qiao 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Online Value Iteration for Intelligent Discounted Tracking Design of Constrained Systems. - Ding Wang 001; Junlong Wu; Jin Ren; Junfei Qiao 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Knowledge-Data-Driven Flexible Switching Control for Wastewater Treatment Process. - Honggui Han; Hongxu Liu; Junfei Qiao 001 (IEEE Trans. Control. Syst. Technol., 2022)

Type-2 Fuzzy Broad Learning System. - Honggui Han; Zheng Liu 018; Hongxu Liu; Junfei Qiao 001; C. L. Philip Chen (IEEE Trans. Cybern., 2022)

Observer-Based Adaptive Fuzzy Control for Nonlinear State-Constrained Systems Without Involving Feasibility Conditions. - Dapeng Li 004; Honggui Han; Junfei Qiao 001 (IEEE Trans. Cybern., 2022)

An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design. - Ding Wang 001; Junfei Qiao 001; Long Cheng 001 (IEEE Trans. Cybern., 2022)

Self-Adjusting Multitask Particle Swarm Optimization. - Honggui Han; Xing Bai; Huayun Han; Ying Hou; Junfei Qiao 001 (IEEE Trans. Evol. Comput., 2022)

Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge. - Yingbo Xie; Shengxiang Yang; Ding Wang 001; Junfei Qiao 001; Baocai Yin (IEEE Trans. Evol. Comput., 2022)

Interactive Transfer Learning-Assisted Fuzzy Neural Network. - Honggui Han; Hongxu Liu; Zheng Liu 018; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2022)

Design of Syncretic Fuzzy-Neural Control for WWTP. - Honggui Han; Zheng Liu 018; Jiaming Li; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2022)

Training Fuzzy Neural Network via Multiobjective Optimization for Nonlinear Systems Identification. - Honggui Han; Chenxuan Sun; Xiaolong Wu; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2022)

Online and Self-Learning Approach to the Identification of Fuzzy Neural Networks. - Wei Li 165; Junfei Qiao 001; Xiao-Jun Zeng (IEEE Trans. Fuzzy Syst., 2022)

An Efficient Self-Organizing Deep Fuzzy Neural Network for Nonlinear System Modeling. - Gongming Wang; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2022)

Active Vision for Deep Visual Learning: A Unified Pooling Framework. - Nan Guo; Ke Gu 001; Junfei Qiao 001; Hantao Liu (IEEE Trans. Ind. Informatics, 2022)

NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes. - Xi Meng; Jian Tang 003; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2022)

Policy Gradient Adaptive Critic Design With Dynamic Prioritized Experience Replay for Wastewater Treatment Process Control. - Ruyue Yang; Ding Wang 001; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2022)

Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner. - Ke Gu 001; Hongyan Liu 004; Jing Liu 047; Xiaofeng Yu; Ting Shi; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2022)

Self-Organizing Multichannel Deep Learning System for River Turbidity Monitoring. - Ke Gu 001; Jing Liu 047; Shuang Shi; Shuangyi Xie; Ting Shi; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2022)

The optimal design and application of LSTM neural network based on the hybrid coding PSO algorithm. - Zhonglin Chen; Cuili Yang; Junfei Qiao 001 (J. Supercomput., 2022)

The Power Series Method to Compute Backstepping Kernel Gains: Theory and Practice. - Rafael Vázquez; Guangwei Chen; Junfei Qiao 001; Miroslav Krstic (CDC, 2023)

Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems. - Jing Bi 001; Ziqi Wang 011; Haitao Yuan 001; Junfei Qiao 001; Jia Zhang 001; MengChu Zhou (ICRA, 2023)

Multi-swarm Genetic Gray Wolf Optimizer with Embedded Autoencoders for High-dimensional Expensive Problems. - Jing Bi 001; Jiahui Zhai; Haitao Yuan 001; Ziqi Wang 011; Junfei Qiao 001; Jia Zhang 001; MengChu Zhou (ICRA, 2023)

Hybrid Water Quality Prediction with Frequency Domain Conversion Enhancement and Seasonal Decomposition. - Jing Bi 001; Yibo Li; Xingyang Chang; Haitao Yuan 001; Junfei Qiao 001 (SMC, 2023)

Multi-Step Water Quality Prediction with Series Decomposition and Auto-Correlation. - Jing Bi 001; Mingxing Yuan; Haitao Yuan 001; Junfei Qiao 001 (SMC, 2023)

An online adjusting RBF neural network for nonlinear system modeling. - Lijie Jia; Wenjing Li 004; Junfei Qiao 001 (Appl. Intell., 2023)

Block Backstepping for Isotachic Hyperbolic PDEs and Multilayer Timoshenko Beams. - Guangwei Chen; Rafael Vázquez; Junfei Qiao 001; Miroslav Krstic (CoRR, 2023)

Data-driven tracking control design with reinforcement learning involving a wastewater treatment application. - Ding Wang 001; Xin Li 055; Lingzhi Hu; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2023)

Modeling and control of wastewater treatment process with time delay based on event-triggered recursive least squares. - Hong-Gui Han; Shijia Fu; Haoyuan Sun; Chenhui Qin; Jun-Fei Qiao 001 (Eng. Appl. Artif. Intell., 2023)

Self-organizing pipelined recurrent wavelet neural network for time series prediction. - Yin Su; Cuili Yang; Junfei Qiao 001 (Expert Syst. Appl., 2023)

Knowledge Reconstruction for Dynamic Multi-objective Particle Swarm Optimization Using Fuzzy Neural Network. - Honggui Han; Yucheng Liu; Linlin Zhang; Hongxu Liu; Hongyan Yang 001; Junfei Qiao 001 (Int. J. Fuzzy Syst., 2023)

Event-triggered constrained neural critic control of nonlinear continuous-time multiplayer nonzero-sum games. - Menghua Li; Ding Wang 001; Mingming Zhao; Junfei Qiao 001 (Inf. Sci., 2023)

A self-organizing fuzzy neural network with hybrid learning algorithm for nonlinear system modeling. - Xi Meng; Yin Zhang; Limin Quan; Junfei Qiao 001 (Inf. Sci., 2023)

H∞ fuzzy intermittent boundary control for nonlinear parabolic distributed parameter systems. - Zipeng Wang 001; Feng-Liang Zhao; Huai-Ning Wu; Junfei Qiao 001; Tingwen Huang (J. Frankl. Inst., 2023)

A modular neural network with empirical mode decomposition and multi-view learning for time series prediction. - Xin Guo 014; Wen-Jing Li; Junfei Qiao 001 (Soft Comput., 2023)

Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games. - Mingming Zhao; Ding Wang 001; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Cybern., 2023)

Multitask Particle Swarm Optimization With Dynamic On-Demand Allocation. - Honggui Han; Xing Bai; Ying Hou; Junfei Qiao 001 (IEEE Trans. Evol. Comput., 2023)

Multitask Particle Swarm Optimization With Dynamic Transformation. - Honggui Han; Xing Bai; Hongyan Yang 001; Ying Hou; Junfei Qiao 001 (IEEE Trans. Emerg. Top. Comput., 2023)

Fault-Tolerant Stochastic Sampled-Data Fuzzy Control for Nonlinear Delayed Parabolic PDE Systems. - Qian-Qian Li; Zipeng Wang 001; Tingwen Huang; Huai-Ning Wu; Han-Xiong Li; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2023)

Takagi-Sugeno Fuzzy Regression Trees With Application to Complex Industrial Modeling. - Heng Xia; Jian Tang 003; Wen Yu 001; Canlin Cui; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2023)

Multiscale Modeling Using GAN and Deep Forest Regression With Application to Dioxin Emission Soft Sensor. - Canlin Cui; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2023)

A Multitask Learning Model for the Prediction of NOx Emissions in Municipal Solid Waste Incineration Processes. - Junfei Qiao 001; Jianglong Zhou; Xi Meng (IEEE Trans. Instrum. Meas., 2023)

Dioxin Emission Concentration Prediction Using the Selective Ensemble Algorithm Based on Bayesian Inference and Binary Tree. - Chaofan Xu; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2023)

Evolving Deep Delay Echo State Network for Effluent NH4-N Prediction in Wastewater Treatment Plants. - Cuili Yang; Sheng Yang; Jian Tang 003; Junfei Qiao 001; Wen Yu 001 (IEEE Trans. Instrum. Meas., 2023)

An event-triggered neural critic technique for nonzero-sum game design with control constraints. - Lingzhi Hu; Ding Wang 001; Jin Ren; Jiangyu Wang; Junfei Qiao 001 (Int. J. Syst. Sci., 2023)

Off-Policy Model-Free Learning for Multi-Player Non-Zero-Sum Games With Constrained Inputs. - Yu Huo; Ding Wang 001; Junfei Qiao 001; Menghua Li (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Robust secure consensus of multiagent systems with DoS attacks. - Shengli Du 001; Qiushuo Yan; Junfei Qiao 001 (Trans. Inst. Meas. Control, 2023)

Robust Non-fragile H∞ Fuzzy Control for Uncertain Nonlinear-Delayed Hyperbolic PDE Systems. - Xu Zhang 051; Zipeng Wang 001; Huai-Ning Wu; Xiao-Wei Zhang; Han-Xiong Li; Junfei Qiao 001 (Int. J. Fuzzy Syst., 2023)

Virtual sample generation method based on generative adversarial fuzzy neural network. - Canlin Cui; Jian Tang 003; Heng Xia; Junfei Qiao 001; Wen Yu 001 (Neural Comput. Appl., 2023)

Piecewise Sliding-Mode Control for Sludge Bulking Under Multiple Operating Conditions. - Honggui Han; Chenhui Qin; Haoyuan Sun; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2023)

Resilient Output Synchronization of Heterogeneous Multiagent Systems With DoS Attacks Under Distributed Event-/Self-Triggered Control. - Shengli Du 001; Wenying Xu; Junfei Qiao 001; Daniel W. C. Ho (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dual Event-Triggered Constrained Control Through Adaptive Critic for Discrete-Time Zero-Sum Games. - Ding Wang 001; Lingzhi Hu; Mingming Zhao; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Decentralised tracking control based on critic learning for nonlinear disturbed interconnected systems. - Ding Wang 001; Wenqian Fan; Menghua Li; Junfei Qiao 001 (Int. J. Syst. Sci., 2023)

Data-driven robust optimal control for nonlinear system with uncertain disturbances. - Honggui Han; Jiacheng Zhang; Hongyan Yang 001; Ying Hou; Junfei Qiao 001 (Inf. Sci., 2023)

An improved stochastic configuration network for concentration prediction in wastewater treatment process. - Kang Li 009; Cuili Yang; Wei Wang 372; Junfei Qiao 001 (Inf. Sci., 2023)

Discounted Near-Optimal Control of Affine Systems via a Progressive Cost Evolution Formulation. - Ding Wang 001; Junlong Wu; Lingzhi Hu; Junfei Qiao 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Knowledge-Aided and Data-Driven Fuzzy Decision Making for Sludge Bulking. - Zheng Liu 018; Honggui Han; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2023)

Security Control of Sampled-Data T-S Fuzzy Systems Subject to Cyberattacks and Successive Packet Losses. - Haoyuan Sun; Hong-Gui Han; Jian Sun 003; Hong-Yan Yang 001; Jun-Fei Qiao 001 (IEEE Trans. Fuzzy Syst., 2023)

Robust Optimal Control for Wastewater Treatment Process With Uncertain Time Delays. - Honggui Han; Jiacheng Zhang; Ying Hou; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2023)

Design of Broad Learning-Based Self-Healing Predictive Control for Sludge Bulking in Wastewater Treatment Process. - Zheng Liu 018; Honggui Han; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2023)

Adaptive multiple selection strategy for multi-objective particle swarm optimization. - Honggui Han; Linlin Zhang; A. Yinga; Junfei Qiao 001 (Inf. Sci., 2023)

Online-Growing Neural Network Control for Dissolved Oxygen Concentration. - Junfei Qiao 001; Yin Su; Cuili Yang (IEEE Trans. Ind. Informatics, 2023)

Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process. - Gongming Wang; Jing Bi 001; Qing-Shan Jia; Junfei Qiao 001; Lei Wang 173 (IEEE Trans. Ind. Informatics, 2023)

Data-Driven Model-Predictive Control for Nonlinear Systems With Stochastic Sampling Interval. - Honggui Han; Shijia Fu; Haoyuan Sun; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Multi-modal multi-objective particle swarm optimization with self-adjusting strategy. - Honggui Han; Yucheng Liu; Ying Hou; Junfei Qiao 001 (Inf. Sci., 2023)

Self-Organizing Interval Type-2 Fuzzy Neural Network With Adaptive Discriminative Strategy. - Honggui Han; Chenxuan Sun; Xiaolong Wu; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2023)

Dynamic Fuzzy Boundary Output Feedback Control for Nonlinear Delayed Parabolic Partial Differential Equation Systems Under Noncollocated Boundary Measurement. - Zipeng Wang 001; Xu Zhang 051; Huai-Ning Wu; Mohammed Chadli; Tingwen Huang; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2023)

Data-Driven Multimodel Predictive Control for Multirate Sampled-Data Nonlinear Systems. - Honggui Han; Shijia Fu; Haoyuan Sun; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2023)

Dynamic Optimal Control for Wastewater Treatment Process Under Multiple Operating Conditions. - Hong-Gui Han; Lu Zhang 031; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2023)

Deterministic Learning-Based Adaptive Neural Control for Nonlinear Full-State Constrained Systems. - Dapeng Li 004; Honggui Han; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

LASSO and attention-TCN: a concurrent method for indoor particulate matter prediction. - Ting Shi; Wu Yang; Ailin Qi; Pengyu Li; Junfei Qiao 001 (Appl. Intell., 2023)

Time-series prediction using a regularized self-organizing long short-term memory neural network. - Hao-shan Duan; Xi Meng; Jian Tang 003; Jun-Fei Qiao 001 (Appl. Soft Comput., 2023)

A self-organizing modular neural network based on empirical mode decomposition with sliding window for time series prediction. - Xin Guo 014; Wenjing Li 004; Jun-Fei Qiao 001 (Appl. Soft Comput., 2023)

Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control. - Ding Wang 001; Jiangyu Wang; Mingming Zhao; Peng Xin; Junfei Qiao 001 (IEEE CAA J. Autom. Sinica, 2023)

Robust Event-Triggered Sampled-Data Fuzzy Control with Non-fragile for Nonlinear Delayed Distributed Parameter Systems. - Feng-Liang Zhao; Zipeng Wang 001; Huai-Ning Wu; Junfei Qiao 001; Xue-Hua Yan; Han-Xiong Li (Int. J. Fuzzy Syst., 2023)

Adaptive event-triggered extended dissipative synchronization of delayed reaction-diffusion neural networks under deception attacks. - Feng-Liang Zhao; Zipeng Wang 001; Junfei Qiao 001; Huai-Ning Wu; Tingwen Huang (Neural Networks, 2023)

Iterative Learning Model Predictive Control With Fuzzy Neural Network for Nonlinear Systems. - Hong-Gui Han; Chen-Yang Wang; Haoyuan Sun; Hong-Yan Yang 001; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2023)

Guest Editorial: Special Issue on Theory, Algorithms, and Applications for Hybrid Intelligent Dynamic Optimization. - Jun Fu 001; Junfei Qiao 001; Kok Lay Teo; Rolf Findeisen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Self-Organizing Interval Type-2 Fuzzy Neural Network Using Information Aggregation Method. - Honggui Han; Chenxuan Sun; Xiaolong Wu; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Adaptive Critic for Event-Triggered Unknown Nonlinear Optimal Tracking Design With Wastewater Treatment Applications. - Ding Wang 001; Lingzhi Hu; Mingming Zhao; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

System Stability of Learning-Based Linear Optimal Control With General Discounted Value Iteration. - Ding Wang 001; Jin Ren; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Advanced value iteration for discrete-time intelligent critic control: A survey. - Mingming Zhao; Ding Wang 001; Junfei Qiao 001; Mingming Ha; Jin Ren (Artif. Intell. Rev., 2023)

Observer-based control for networked Takagi-Sugeno fuzzy systems with stochastic packet losses. - Haoyuan Sun; Hong-Gui Han; Jun-Fei Qiao 001 (Inf. Sci., 2023)

Dichotomy value iteration with parallel learning design towards discrete-time zero-sum games. - Jiangyu Wang; Ding Wang 001; Xin Li 055; Junfei Qiao 001 (Neural Networks, 2023)

Periodic Event-Triggered CACC and Communication Co-design for Vehicle Platooning. - Anqi Fu; Sijia Chen; Junfei Qiao 001; Chengpu Yu (ACM Trans. Cyber Phys. Syst., 2023)

Secure Consensus of Multiagent Systems With DoS Attacks via Fully Distributed Dynamic Event-Triggered Control. - Shengli Du 001; Hong Sheng; Daniel W. C. Ho; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Combustion state identification of MSWI processes using ViT-IDFC. - Xiaotong Pan; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2023)

Synchronization of reaction-diffusion neural networks with random time-varying delay via intermittent boundary control. - Zipeng Wang 001; Xu Zhang 051; Junfei Qiao 001; Huai-Ning Wu; Tingwen Huang (Neurocomputing, 2023)

Consensus of MASs With Input and Communication Delays by Predictor-Based Protocol. - Hao-Yuan Sun; Hong-Yan Yang 001; Hong-Gui Han; Jian Sun 003; Jun-Fei Qiao 001 (IEEE Trans. Cybern., 2023)

A Comprehensively Improved Interval Type-2 Fuzzy Neural Network for NOx Emissions Prediction in MSWI Process. - Junfei Qiao 001; Zijian Sun; Xi Meng (IEEE Trans. Ind. Informatics, 2023)

Transfer Learning Algorithm With Knowledge Division Level. - Honggui Han; Hongxu Liu; Cuili Yang; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Stability and Admissibility Analysis for Zero-Sum Games Under General Value Iteration Formulation. - Ding Wang 001; Mingming Zhao; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Novel Discounted Optimal Tracking Design Under Offline and Online Formulations for Asymmetric Constrained Systems. - Ding Wang 001; Junlong Wu; Jin Ren; Peng Xin; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Multiobjective Integrated Optimal Control for Nonlinear Systems. - Hong-Gui Han; Cong Chen; Hao-Yuan Sun; Jun-Fei Qiao 001 (IEEE Trans. Cybern., 2023)

Data-Driven Optimal Control for Municipal Solid Waste Incineration Process. - Jian Sun 028; Xi Meng; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2023)

Filter Transfer Learning Algorithm for Missing Data Imputation in Wastewater Treatment Process. - Honggui Han; Mengmeng Li; Junfei Qiao 001; Qing Yang; Yongzhen Peng (IEEE Trans. Knowl. Data Eng., 2023)

Anomaly Detection of Nonstationary Long-Memory Processes Based on Fractional Cointegration Vector Autoregression. - Ruiyao Zhang; Ping Zhou 003; Junfei Qiao 001 (IEEE Trans. Reliab., 2023)

Block Backstepping for Isotachic Hyperbolic PIDE-ODE Systems. - Guangwei Chen; Rafael Vázquez; Junfei Qiao 001; Miroslav Krstic (ECC, 2024)

Water Quality Anomaly Detection with Dual Sliding Windows and Convolutional LSTM. - Jing Bi 001; Ming Yuan; Haitao Yuan 001; Ziqi Wang 011; Junfei Qiao 001 (SMC, 2024)

Long-Term Water Quality Prediction with Patch Savitsky-Golay Filtering and Transformer. - Yongze Lin; Junfei Qiao 001; Jing Bi 001; Haitao Yuan 001; Jiahui Zhai; MengChu Zhou (SMC, 2024)

Self-organizing broad network with frequency-domain analysis. - Honggui Han; Zecheng Tang; Xiaolong Wu; Hongyan Yang 001; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2024)

Reinforcement learning control with n-step information for wastewater treatment systems. - Xin Li 055; Ding Wang 001; Mingming Zhao; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2024)

Multilayer adaptive critic design with digital twin for data-driven optimal tracking control and industrial applications. - Ding Wang 001; Hongyu Ma; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2024)

Adaptive critic design with weight allocation for intelligent learning control of wastewater treatment plants. - Ding Wang 001; Hongyu Ma; Jin Ren; Ning Gao; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2024)

Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process. - Tianzheng Wang 004; Jian Tang 003; Heng Xia; Cuili Yang; Wen Yu 001; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2024)

Multi-objective PSO semi-supervised random forest method for dioxin soft sensor. - Wen Xu; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2024)

Supplementary heuristic dynamic programming for wastewater treatment process control. - Ding Wang 001; Xin Li 055; Peng Xin; Ao Liu 012; Junfei Qiao 001 (Expert Syst. Appl., 2024)

Real-time local path planning strategy based on deep distributional reinforcement learning. - Shengli Du 001; Zexing Zhu; Xuefang Wang 001; Honggui Han; Junfei Qiao 001 (Neurocomputing, 2024)

Adjustable iterative Q-learning for advanced neural tracking control with stability guarantee. - Yuan Wang 056; Ding Wang 001; Mingming Zhao; Ao Liu 012; Junfei Qiao 001 (Neurocomputing, 2024)

Pinning event-triggered sampled-data synchronization of coupled reaction-diffusion neural networks. - Feng-Liang Zhao; Zipeng Wang 001; Junfei Qiao 001; Huai-Ning Wu; Tingwen Huang (Neurocomputing, 2024)

Adaptive type-2 fuzzy-neural switching control for wastewater treatment process under several operating conditions. - Honggui Han; Fei-Fan Yang; Haoyuan Sun; Junfei Qiao 001 (Inf. Sci., 2024)

Multi-task stochastic configuration network with autonomous linking and its application in wastewater treatment processes. - Kang Li 009; Limin Zhang; Junfei Qiao 001 (Inf. Sci., 2024)

Fully distributed practical fixed-time fault-tolerant consensus of nonlinear multiagent systems. - Shengli Du 001; Jin Han; Hao-Yuan Sun; Hong-Gui Han; Junfei Qiao 001 (J. Frankl. Inst., 2024)

Advanced optimal tracking integrating a neural critic technique for asymmetric constrained zero-sum games. - Menghua Li; Ding Wang 001; Jin Ren; Junfei Qiao 001 (Neural Networks, 2024)

Neural Q-learning for discrete-time nonlinear zero-sum games with adjustable convergence rate. - Yuan Wang 056; Ding Wang 001; Mingming Zhao; Nan Liu; Junfei Qiao 001 (Neural Networks, 2024)

Neural critic learning with accelerated value iteration for nonlinear model predictive control. - Peng Xin; Ding Wang 001; Ao Liu 012; Junfei Qiao 001 (Neural Networks, 2024)

Neurodynamics-Driven Prediction Model for State Evolution of Coastal Water Quality. - Gongming Wang; Hong Chen 025; Suling Jiang; Honggui Han; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2024)

Multimodal Data-Driven Interpretable Deep Modeling Approach of Dioxins Generation for Municipal Solid Waste Incineration Processes. - Heng Xia; Jian Tang 003; Xiaotong Pan; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2024)

Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization. - Cuili Yang; Danlei Wang; Jian Tang 003; Junfei Qiao 001; Wen Yu 001 (Inf. Sci., 2024)

Event-Triggered Adaptive Model Predictive Control of Oxygen Content for Municipal Solid Waste Incineration Process. - Junfei Qiao 001; Jian Sun 028; Xi Meng (IEEE Trans Autom. Sci. Eng., 2024)

Robust Modeling for Industrial Process Based on Frequency Reconstructed Fuzzy Neural Network. - Honggui Han; Zecheng Tang; Xiaolong Wu; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2024)

Cooperative Event-Triggered Fuzzy-Neural Multivariable Control With Multitask Learning for Municipal Solid Waste Incineration Process. - Haixu Ding; Junfei Qiao 001; Weimin Huang 003; Tao Yu (IEEE Trans. Ind. Informatics, 2024)

Data-Driven Robust Adaptive Control With Deep Learning for Wastewater Treatment Process. - Gongming Wang; Yidi Zhao; Caixia Liu; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Online Measurement of Dioxin Emission in Solid Waste Incineration Using Fuzzy Broad Learning. - Heng Xia; Jian Tang 003; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Adaptive NN Controller of Nonlinear State-Dependent Constrained Systems With Unknown Control Direction. - Dapeng Li 004; Hong-Gui Han; Jun-Fei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Adaptive Neural Fixed-Time Tracking Control for High-Order Nonlinear Systems. - Jiawei Ma; Huanqing Wang 001; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Large-Scale and Knowledge-Based Dynamic Multiobjective Optimization for MSWI Process Using Adaptive Competitive Swarm Optimization. - Weimin Huang 003; Haixu Ding; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Decentralized Event-Triggered Asymmetric Constrained Control Through Adaptive Critic Designs for Nonlinear Interconnected Systems. - Yu Huo; Ding Wang 001; Menghua Li; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Intelligent Optimal Control of Constrained Nonlinear Systems via Receding-Horizon Heuristic Dynamic Programming. - Ding Wang 001; Peng Xin; Mingming Zhao; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A WSFA-based adaptive feature extraction method for multivariate time series prediction. - Shuang Yang; Wenjing Li 004; Junfei Qiao 001 (Neural Comput. Appl., 2024)

Decentralized Optimal Neurocontroller Design for Mismatched Interconnected Systems via Integral Policy Iteration. - Ding Wang 001; Wenqian Fan; Ao Liu 012; Junfei Qiao 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Multitask Particle Swarm Optimization With Heterogeneous Domain Adaptation. - Honggui Han; Xing Bai; Ying Hou; Junfei Qiao 001 (IEEE Trans. Evol. Comput., 2024)

Predictor-Based Self-Organizing Control for Unknown Nonlinear Dynamical Systems. - Hong-Gui Han; Chengcheng Feng; Hao-Yuan Sun; Jun-Fei Qiao 001 (IEEE Trans. Fuzzy Syst., 2024)

Robust Self-Constructing Fuzzy Neural Network-Based Online Estimation for Industrial Product Quality. - Limin Quan; Xi Meng; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Adaptive Critic Control Design With Knowledge Transfer for Wastewater Treatment Applications. - Ding Wang 001; Xin Li 055; Mingming Zhao; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Data-Knowledge-Driven Self-Organizing Fuzzy Neural Network. - Honggui Han; Hongxu Liu; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Adjustable Iterative Q-Learning Schemes for Model-Free Optimal Tracking Control. - Junfei Qiao 001; Mingming Zhao; Ding Wang 001; Mingming Ha (IEEE Trans. Syst. Man Cybern. Syst., 2024)

An adaptive evolutionary modular neural network with intermodule connections. - Meng Li 007; Wenjing Li 004; Zhiqian Chen; Junfei Qiao 001 (Appl. Intell., 2024)

Multi-condition operational optimization with adaptive knowledge transfer for municipal solid waste incineration process. - Yingying Cui; Xi Meng; Junfei Qiao 001 (Expert Syst. Appl., 2024)

NOx emissions prediction for MSWI process based on dynamic modular neural network. - Hao-shan Duan; Xi Meng; Jian Tang 003; Junfei Qiao 001 (Expert Syst. Appl., 2024)

Diversified Knowledge Transfer Strategy for Multitasking Particle Swarm Optimization. - Xiaolong Wu; Wei Wang 372; Hongyan Yang 001; Honggui Han; Junfei Qiao 001 (IEEE Trans. Cybern., 2024)

Fuzzy Stochastic Configuration Networks for Nonlinear System Modeling. - Kang Li 009; Junfei Qiao 001; Dianhui Wang 001 (IEEE Trans. Fuzzy Syst., 2024)

Quantized Sampled-Data Stabilization for Nonlinear NCSs Subject to Successive Packet Losses and Probabilistic Sampling. - Hao-Yuan Sun; Hong-Gui Han; Jun-Fei Qiao 001 (IEEE Trans. Fuzzy Syst., 2024)

Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis. - Kang Li 009; Junfei Qiao 001; Dianhui Wang 001 (IEEE Trans. Ind. Informatics, 2024)

CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization. - Runyu Zhang; Jian Tang 003; Heng Xia; Xiaotong Pan; Wen Yu 001; Junfei Qiao 001 (Neural Comput. Appl., 2024)

Multi-Objective Integrated Robust Optimal Control for Wastewater Treatment Processes. - Cong Chen; Honggui Han; Haoyuan Sun; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2024)

Event-Triggered Online Learning Fuzzy-Neural Robust Control for Furnace Temperature in Municipal Solid Waste Incineration Process. - Haixu Ding; Junfei Qiao 001; Weimin Huang 003; Tao Yu (IEEE Trans Autom. Sci. Eng., 2024)

Interval Type-2 Fuzzy Neural Network Based on Active Semi-Supervised Learning for Non-Stationary Industrial Processes. - Junfei Qiao 001; Zijian Sun; Xi Meng (IEEE Trans Autom. Sci. Eng., 2024)

Iterative Q-Learning for Model-Free Optimal Control With Adjustable Convergence Rate. - Ding Wang 001; Yuan Wang 056; Mingming Zhao; Junfei Qiao 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Resources Scheduling for Ambient Backscatter Communication-Based Intelligent IIoT: A Collective Deep Reinforcement Learning Method. - Yudian Huang; Meng Li 007; F. Richard Yu; Pengbo Si; Haijun Zhang 001; Junfei Qiao 001 (IEEE Trans. Cogn. Commun. Netw., 2024)

Double-Closed-Loop Robust Optimal Control for Uncertain Nonlinear Systems. - Honggui Han; Jiacheng Zhang; Ying Hou; Junfei Qiao 001 (IEEE Trans. Cybern., 2024)

Hierarchical Self-Organizing Fuzzy Control for Uncertain Nonlinear Systems. - Hong-Gui Han; Chengcheng Feng; Hao-Yuan Sun; Jun-Fei Qiao 001 (IEEE Trans. Fuzzy Syst., 2024)

Modeling and Control of Discrete-Time T-S Fuzzy Systems Subject to Stochastic Packet Dropouts. - Hao-Yuan Sun; Shuang Hou; Hong-Gui Han; Jun-Fei Qiao 001 (IEEE Trans. Fuzzy Syst., 2024)

Action-Dependent Heuristic Dynamic Programming With Experience Replay for Wastewater Treatment Processes. - Junfei Qiao 001; Mingming Zhao; Ding Wang 001; Menghua Li (IEEE Trans. Ind. Informatics, 2024)

Complexity-Based Structural Optimization of Deep Belief Network and Application in Wastewater Treatment Process. - Gongming Wang; Guanghui Yuan; Zhiqiang Hu; Yuanying Chi; Qing-Shan Jia; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Asymmetric Constrained Optimal Tracking Control With Critic Learning of Nonlinear Multiplayer Zero-Sum Games. - Junfei Qiao 001; Menghua Li; Ding Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Event-Based Data-Driven Adaptive Model Predictive Control for Nonlinear Dynamic Processes. - Jian Sun 028; Xi Meng; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Fuzzy-Approximation Adaptive Fault Tolerant Control for Nonlinear Constraint Systems With Actuator and Sensor Faults. - Dapeng Li 004; Hong-Gui Han; Jun-Fei Qiao 001 (IEEE Trans. Fuzzy Syst., 2024)

Knowledge-Guided Adaptive Neuro-Fuzzy Self-Healing Control for Sludge Bulking in Wastewater Treatment Process. - Zheng Liu 018; Honggui Han; Junfei Qiao 001; Zeyu Ma (IEEE Trans. Fuzzy Syst., 2024)

Predicting Water Quality With Nonstationarity: Event-Triggered Deep Fuzzy Neural Network. - Gongming Wang; Hong Chen 025; Honggui Han; Jing Bi 001; Junfei Qiao 001; Erfan Babaee Tirkolaee (IEEE Trans. Fuzzy Syst., 2024)

Fuzzy Fault-Tolerant Boundary Control for Nonlinear DPSs With Multiple Delays and Stochastic Actuator Failures. - Zipeng Wang 001; Xu Zhang 051; Junfei Qiao 001; Huai-Ning Wu; Tingwen Huang (IEEE Trans. Fuzzy Syst., 2024)

Dynamic System Modeling Using a Multisource Transfer Learning-Based Modular Neural Network for Industrial Application. - Hao-shan Duan; Xi Meng; Jian Tang 003; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Mechanism-Data-Driven Multiobjective Optimization for Wastewater Treatment Process. - Honggui Han; Yucheng Liu; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Data-Driven Robust Multimodal Multiobjective Particle Swarm Optimization. - Honggui Han; Yucheng Liu; Ying Hou; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Dynamic Intermittent Boundary Control for Reaction-Diffusion Systems Under Intermittent Noncollocated Boundary Measurement. - Zipeng Wang 001; Feng-Liang Zhao; Junfei Qiao 001; Huai-Ning Wu; Tingwen Huang (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A model-free deep integral policy iteration structure for robust control of uncertain systems. - Ding Wang 001; Ao Liu 012; Junfei Qiao 001 (Int. J. Syst. Sci., 2024)

Fuzzy Neural Network-Based Adaptive Asymmetric Constraint Control in Wastewater Treatment Process. - Dingyuan Chen; Cuili Yang; Junfei Qiao 001 (IEEE Trans. Artif. Intell., 2024)

Fuzzy Boundary Sampled-Data Control for Nonlinear Parabolic DPSs. - Zipeng Wang 001; Qian-Qian Li; Junfei Qiao 001; Huai-Ning Wu; Tingwen Huang (IEEE Trans. Cybern., 2024)

Multitasking Feedback Optimization Algorithm Based on an Evolutionary State Estimator. - Xiaolong Wu; Wei Wang 372; Hongyan Yang 001; Honggui Han; Junfei Qiao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Nonsingular Gradient Descent Algorithm for Interval Type-2 Fuzzy Neural Network. - Honggui Han; Chenxuan Sun; Xiaolong Wu; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Advanced Optimal Tracking Control With Stability Guarantee via Novel Value Learning Formulation. - Ding Wang 001; Junlong Wu; Mingming Ha; Mingming Zhao; Menghua Li; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Tree Broad Learning System for Small Data Modeling. - Heng Xia; Jian Tang 003; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Double-Layer Constraint Structure-Based Adaptive Neural Tracking Control for Nonlinear Strict-Feedback Systems. - Dapeng Li 004; Hong-Gui Han; Jun-Fei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Composite Boundary Structure-Based Tracking Control for Nonlinear State-Dependent Constrained Systems. - Dapeng Li 004; Hong-Gui Han; Junfei Qiao 001 (IEEE Trans. Autom. Control., 2024)

Intelligent-Critic-Based Tracking Control of Discrete-Time Input-Affine Systems and Approximation Error Analysis With Application Verification. - Ding Wang 001; Ning Gao; Mingming Ha; Mingming Zhao; Junlong Wu; Junfei Qiao 001 (IEEE Trans. Cybern., 2024)

Time-Aware Fuzzy Neural Network Based on Frequency-Enhanced Modulation Mechanism. - Honggui Han; Zecheng Tang; Xiaolong Wu; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2024)

Knowledge-Data-Driven Robust Fault-Tolerant Control for Sludge Bulking in Wastewater Treatment Process. - Honggui Han; Yumeng Xu; Zheng Liu 018; Haoyuan Sun; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Neural Network-Based Adaptive Tracking Control for Denitrification and Aeration Processes With Time Delays. - Junfei Qiao 001; Dapeng Li 004; Honggui Han (IEEE Trans. Neural Networks Learn. Syst., 2024)

Convergence and Stability of Optimal Regulation via Generalized N-Step Value Gradient Learning. - Ding Wang 001; Mingming Zhao; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Self-Organizing Fuzzy Terminal Sliding Mode Control for Wastewater Treatment Processes. - Honggui Han; Chengcheng Feng; Haoyuan Sun; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2024)

Robust Type-2 Fuzzy Neural Control for Wastewater Treatment Process With External Disturbances. - Honggui Han; Feifan Yang; Haoyuan Sun; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2024)

Offline Data-Driven Adaptive Critic Design With Variational Inference for Wastewater Treatment Process Control. - Junfei Qiao 001; Ruyue Yang; Ding Wang 001 (IEEE Trans Autom. Sci. Eng., 2024)

Adaptive Critic Tracking Design for Data-Based Nonaffine Predictive Control. - Ding Wang 001; Peng Xin; Jin Ren; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2024)

Command Filtered-Based Adaptive Predefined-Time Control for Uncertain Nonlinear Systems With Applications to RLC Circuit. - Huanqing Wang 001; Zhu Meng; Junfei Qiao 001; Siwen Liu (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Knowledge-Data Driven Optimal Control for Nonlinear Systems and Its Application to Wastewater Treatment Process. - Honggui Han; Yushuang Wang; Zheng Liu 018; Haoyuan Sun; Junfei Qiao 001 (IEEE Trans. Cybern., 2024)

Sampled-Data H∞ Dynamic Output-Feedback Control for NCSs With Successive Packet Losses and Stochastic Sampling. - Hao-Yuan Sun; Shuang Hou; Shengli Du 001; Hong-Gui Han; Junfei Qiao 001 (IEEE Trans. Cybern., 2024)

Fuzzy Boundary Sampled-Data Control for Nonlinear DPSs With Random Time-Varying Delays. - Zipeng Wang 001; Bo-Ming Chen; Junfei Qiao 001; Huai-Ning Wu; Tingwen Huang (IEEE Trans. Fuzzy Syst., 2024)

Hybrid Simulator-Based Mechanism and Data-Driven for Multidemand Dioxin Emissions Intelligent Prediction in the MSWI Process. - Heng Xia; Jian Tang 003; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Ind. Electron., 2024)

Neural Network-Based Adaptive Fault-Tolerant Control of Dissolved Oxygen and Nitrate Concentrations in WWTPs. - Junfei Qiao 001; Dapeng Li 004; Honggui Han (IEEE Trans. Ind. Informatics, 2024)

Evolution-Guided Adaptive Dynamic Programming for Nonlinear Optimal Control. - Ding Wang 001; Haiming Huang; Derong Liu 001; Mingming Zhao; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Multifidelity surrogates-assisted multi-objective particle swarm algorithm for offline data-driven optimization. - Yingying Cui; Xi Meng; Junfei Qiao 001 (Appl. Intell., 2024)

Fuzzy Intermittent Control for Nonlinear PDE-ODE Coupled Systems. - Xi-Dong Shi; Zi-Peng Wang 001; Junfei Qiao 001; Huai-Ning Wu; Xiao-Wei Zhang; Xue-Hua Yan (Int. J. Fuzzy Syst., 2024)

Dynamic Surface Intelligent Robust Control of Nonlinear Systems With Fixed-Time Sliding-Mode Observer. - Hong-Gui Han; Chengcheng Feng; Hao-Yuan Sun; Jun-Fei Qiao 001 (IEEE Trans. Cybern., 2024)

Data-Driven Tube-Based Robust Predictive Control for Constrained Wastewater Treatment Process. - Hong-Gui Han; Yan Wang 100; Hao-Yuan Sun; Zheng Liu 018; Jun-Fei Qiao 001 (IEEE Trans. Cybern., 2024)

Fault-Tolerant Event-Triggered Sampled-Data Fuzzy Control for Nonlinear Delayed Parabolic PDE Systems. - Bo-Ming Chen; Zi-Peng Wang 001; Feng-Liang Zhao; Junfei Qiao 001; Huai-Ning Wu; Tingwen Huang (IEEE Trans. Fuzzy Syst., 2024)

Prescribed Performance Fault-Tolerant Optimal Control for Wastewater Treatment Process With Multivariable. - Dingyuan Chen; Cuili Yang; Dapeng Li 004; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2024)

Data-Knowledge-Driven Multiobjective Integrated Optimal Control for Nonlinear Systems. - Honggui Han; Yue Zhang; Haoyuan Sun; Zheng Liu 018; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Adaptive multi-objective competitive swarm optimization algorithm based on kinematic analysis for municipal solid waste incineration. - Weimin Huang 003; Haixu Ding; Junfei Qiao 001 (Appl. Soft Comput., 2024)

Safe Q-Learning for Data-Driven Nonlinear Optimal Control with Asymmetric State Constraints. - Mingming Zhao; Ding Wang 001; Shijie Song; Junfei Qiao 001 (IEEE CAA J. Autom. Sinica, 2024)

Leader-Following Sampled-Data Consensus of Multiagent Systems With Successive Packet Losses and Stochastic Sampling. - Hao-Yuan Sun; Hong-Gui Han; Jian Sun 003; Junfei Qiao 001 (IEEE Trans. Cybern., 2024)

Mixed Fuzzy Intermittent Control for Nonlinear ODE-PDE Coupled Systems. - Zipeng Wang 001; Hua-Ran Su; Xi-Dong Shi; Junfei Qiao 001; Huai-Ning Wu; Tingwen Huang; Xue-Hua Yan (IEEE Trans. Fuzzy Syst., 2024)

Ensemble self-organizing recursive neural network for modeling furnace temperature in municipal solid waste incineration. - Tao Yu; Haixu Ding; Junfei Qiao 001 (Appl. Soft Comput., 2025)

General multi-step value iteration for optimal learning control. - Ding Wang 001; Jiangyu Wang; Derong Liu 001; Junfei Qiao 001 (Autom., 2025)

Dynamic sequential transfer optimization for municipal solid waste incineration process under multiple operating conditions. - Yingying Cui; Xi Meng; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2025)

A novel data-driven sample augmentation method using interpretable space and adversarial mechanism for dioxin risk warning. - Canlin Cui; Jian Tang 003; Junfei Qiao 001; Heng Xia (Eng. Appl. Artif. Intell., 2025)

Filter transfer learning algorithm for nonlinear systems modeling with heterogeneous features. - Honggui Han; Mengmeng Li; Xiaolong Wu; Hongyan Yang 001; Junfei Qiao 001 (Expert Syst. Appl., 2025)

Furnace temperature control based on interval type-2 fuzzy broad learning system for municipal solid waste incineration process. - Hao Tian; Jian Tang 003; Loai Aljerf; Tianzheng Wang 004; Junfei Qiao 001 (Expert Syst. Appl., 2025)

Intermittent sampled-data synchronization of delayed reaction-diffusion neural networks. - Hong-Yu Chen; Zi-Peng Wang 001; Junfei Qiao 001; Jin-Liang Wang 001; Huai-Ning Wu; Tingwen Huang (Neurocomputing, 2025)

Adjustable behavior-guided adaptive dynamic programming for neural learning control. - Guohan Tang; Ding Wang 001; Ao Liu 012; Junfei Qiao 001 (Neurocomputing, 2025)

Pinning boundary sampled-data synchronization of coupled reaction-diffusion neural networks. - Zi-Peng Wang; Bo-Ming Chen; Junfei Qiao 001; Biao Luo 001; Huai-Ning Wu; Tingwen Huang; Guangwei Chen (Neurocomputing, 2025)

Temporal difference learning with multi-step returns for intelligent optimal control of dynamic systems. - Peng Xin; Ding Wang 001; Ao Liu 012; Junfei Qiao 001 (Neurocomputing, 2025)

Enhancing offline reinforcement learning for wastewater treatment via transition filter and prioritized approximation loss. - Ruyue Yang; Ding Wang 001; Menghua Li; Chengyu Cui; Junfei Qiao 001 (Neurocomputing, 2025)

Evolution-guided Q-learning for tracking control of unknown dynamic systems. - Zeqiang Yuan; Ding Wang 001; Jiangyu Wang; Mingming Zhao; Junfei Qiao 001 (Neurocomputing, 2025)

Fault-tolerant and attack-tolerant cooperative event-triggered sampled-data security control for synchronization of RDNNs with stochastic actuator failures and random deception attacks. - Feng-Liang Zhao; Zipeng Wang 001; Junfei Qiao 001; Huai-Ning Wu; Tingwen Huang (Neurocomputing, 2025)

Fast control of a laminated Timoshenko beam system with only boundary inputs. - Guangwei Chen; Junfei Qiao 001 (J. Frankl. Inst., 2025)

Fully distributed practical fixed-time consensus of second-order nonlinear multiagent systems under actuator faults. - Shengli Du 001; Jin Han; Hao-Yuan Sun; Hong-Gui Han; Junfei Qiao 001 (J. Frankl. Inst., 2025)

Distributed adaptive Nash equilibrium seeking in high-order multiagent systems under time-varying unknown disturbances. - Shengli Du 001; Tianli Xu; Xuefang Wang; Honggui Han; Junfei Qiao 001 (J. Frankl. Inst., 2025)

Self-triggered neural tracking control for discrete-time nonlinear systems via adaptive critic learning. - Lingzhi Hu; Ding Wang 001; Gongming Wang; Junfei Qiao 001 (Neural Networks, 2025)

Neural-network-based accelerated safe Q-learning for optimal control of discrete-time nonlinear systems with state constraints. - Mingming Zhao; Ding Wang 001; Junfei Qiao 001 (Neural Networks, 2025)

Swarm-intelligence-based value iteration for optimal regulation of continuous-time nonlinear systems. - Ding Wang 001; Qinna Hu; Ao Liu 012; Junfei Qiao 001 (Swarm Evol. Comput., 2025)

A weighted knowledge extraction strategy for dynamic multi-objective optimization. - Yingbo Xie; Junfei Qiao 001; Ding Wang 001 (Swarm Evol. Comput., 2025)

Large-Scale Water Quality Prediction With Deep Decomposition Architecture and Auto-Correlation. - Jing Bi 001; Mingxing Yuan; Haitao Yuan 001; Jun-Fei Qiao 001; Jia Zhang 001; MengChu Zhou (IEEE Trans Autom. Sci. Eng., 2025)

An Improved Trajectory Tracking Mechanism With Adaptive Critic for Event-Based Multiplayer Zero-Sum Games. - Menghua Li; Ding Wang 001; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2025)

Dynamic Multi-Objective Operation Optimization of Municipal Solid Waste Incineration Process Based on Transfer Learning. - Junfei Qiao 001; Yingying Cui; Xi Meng (IEEE Trans Autom. Sci. Eng., 2025)

Attention-Based Spatiotemporal Graph Fusion Convolution Networks for Water Quality Prediction. - Junfei Qiao 001; Yongze Lin; Jing Bi 001; Haitao Yuan 001; Gongming Wang; MengChu Zhou (IEEE Trans Autom. Sci. Eng., 2025)

PCA-Based Sensor Drift Fault Detection With Distribution Adaptation in Wastewater Treatment Process. - Junfei Qiao 001; Jianing Zhang; Wenjing Li 004 (IEEE Trans Autom. Sci. Eng., 2025)

Discounted Stable Adaptive Critic Design for Zero-Sum Games With Application Verifications. - Jin Ren; Ding Wang 001; Menghua Li; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2025)

Adaptive Event-Triggered Sampled-Data Fuzzy Security Control for Nonlinear Delayed DPSs With DoS Attacks and Stochastic Actuator Failures. - Zipeng Wang 001; Bo-Ming Chen; Feng-Liang Zhao; Junfei Qiao 001; Huai-Ning Wu; Tingwen Huang; Guangwei Chen (IEEE Trans Autom. Sci. Eng., 2025)

Neurodynamics-Driven Model Predictive Control With Soft-Measurement for Desulfurization System. - Gongming Wang; Xinyi Li; Ke Gu 001; Hong Chen 025; Honggui Han; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2025)

Online Digital Twin Adaptive Critic Design With Long Short-Term Memory for Wastewater Treatment Plants. - Ding Wang 001; Hongyu Ma; Jin Ren; Honggui Han; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2025)

Evolution-Guided Q-Learning With Dual Swarm Intelligence for Model-Free Optimal Control. - Ding Wang 001; Zeqiang Yuan; Guohan Tang; Jiangyu Wang; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2025)

Dioxin Emission Detection Based on Dynamic Pruning Online Ensemble Binary Tree Algorithm. - Chaofan Xu; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2025)

Flue Gas Oxygen Content Control Based on Interval Type-2 Fuzzy Broad Learning System and PID for MSWI Process. - Weiwei Yang; Jian Tang 003; Hao Tian; Wen Yu 001; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2025)

Optimizing Wastewater Treatment Control Using Policy-Constrained Offline Reinforcement Learning and Lyapunov Density Model. - Ruyue Yang; Ding Wang 001; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2025)

Infrared Image Quality Evaluation: Benchmark Database and Computational Model. - Ke Gu 001; Hongyan Liu 004; Yubin Gao; Yuchen Liu; Junfei Qiao 001; Guangtao Zhai; Wenjun Zhang 001 (IEEE Trans. Instrum. Meas., 2025)

A Transfer Learning-Based Multimodal Feature Fusion Model for Bearing Fault Diagnosis. - Honggui Han; Yuan Meng; Xiaolong Wu; Xin Li 055; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2025)

CO Emission Prediction for MSWI Process Based on Dual-Space Nested Dual-Window Drift Detection. - Runyu Zhang; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2025)

Air Pollution Monitoring by Integrating Local and Global Information in Self-Adaptive Multiscale Transform Domain. - Ke Gu 001; Yuchen Liu; Hongyan Liu 004; Bo Liu 024; Junfei Qiao 001; Weisi Lin; Wenjun Zhang 001 (IEEE Trans. Multim., 2025)

Online Fault-Tolerant Tracking Control With Adaptive Critic for Nonaffine Nonlinear Systems. - Ding Wang 001; Lingzhi Hu; Xiaoli Li 011; Junfei Qiao 001 (IEEE CAA J. Autom. Sinica, 2025)

Perceptual Information Fidelity for Quality Estimation of Industrial Images. - Ke Gu 001; Hongyan Liu 004; Yuchen Liu; Junfei Qiao 001; Guangtao Zhai; Wenjun Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Bayesian Optimization-Based Interval Type-2 Fuzzy Neural Network for Furnace Temperature Control. - Hao Tian; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2025)

Self-Organizing Robust Fuzzy Neural Network for Nonlinear System Modeling. - Honggui Han; Jiaqian Wang; Zheng Liu 018; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Data-Knowledge-Driven Inductive Learning Method for Modeling Wastewater Treatment Processes. - Honggui Han; Chenxuan Sun; Xiaolong Wu; Hongyan Yang 001; Nan Zhao; Junfei Qiao 001; Dezheng Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Self-Organizing Model Predictive Control for Constrained Nonlinear Systems. - Hong-Gui Han; Yan Wang 100; Hao-Yuan Sun; Zheng Liu 018; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Nonperiodic and Periodic Event-Triggered Online H∞ Control for Constrained Nonlinear Systems. - Ding Wang 001; Lingzhi Hu; Hua Wang; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Dynamic event-based adaptive fuzzy nonsingular fixed-time output feedback consensus control for multi-agent systems. - Muxuan Li; Huanqing Wang 001; Junfei Qiao 001 (Int. J. Syst. Sci., 2025)

A Hub-Based Self-Organizing Algorithm for Feedforward Small-World Neural Network. - Wenjing Li 004; Can Chen; Junfei Qiao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

A Feature Importance Analyzable Resilient Deep Neural Network for Road Safety Performance Function Surrogate Modeling. - Guangyuan Pan; Chunhao Liu; Gongming Wang; Hao Wei; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2025)

Integrated Online Q-Learning Design for Wastewater Treatment Processes. - Mingming Zhao; Ding Wang 001; Jin Ren; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2025)

Traffic Models of Dynamic Periodic Event-Triggered Control Systems. - Shaobudao Yang; Anqi Fu; Xinyu Wei; Junfei Qiao 001 (IEEE Trans. Control. Netw. Syst., 2025)

Data-Knowledge-Driven Multiobjective Adaptive Optimal Control for Wastewater Treatment Processes Under Multiple Operating Conditions. - Hong-Gui Han; Yue Zhang; Hao-Yuan Sun; Zheng Liu 018; Junfei Qiao 001 (IEEE Trans. Cybern., 2025)

Relaxed Optimal Control With Self-Learning Horizon for Discrete-Time Stochastic Dynamics. - Ding Wang 001; Jiangyu Wang; Ao Liu 012; Derong Liu 001; Junfei Qiao 001 (IEEE Trans. Cybern., 2025)

Fuzzy Stabilization of Networked Nonlinear Systems With Multiple Stochastic Transmission Intervals, Packet Losses, and FDI Attacks. - Hao-Yuan Sun; Shan Wang; Sheng-Li Du 001; Hong-Gui Han; Jun-Fei Qiao 001 (IEEE Trans. Fuzzy Syst., 2025)

Robust Neural Network Modeling With Small-Worldness for Effluent Total Phosphorus Prediction in Wastewater Treatment Process. - Wenjing Li 004; Chong Ding; Junfei Qiao 001 (IEEE Trans. Reliab., 2025)

An online self-organizing radial basis function neural network based on Gaussian Membership. - Lijie Jia; Wenjing Li 004; Junfei Qiao 001; Xinliang Zhang (Appl. Intell., 2025)

Transformer-Based Water Quality Forecasting With Dual Patch and Trend Decomposition. - Yongze Lin; Junfei Qiao 001; Jing Bi 001; Haitao Yuan 001; Mengyuan Wang; Jia Zhang 001; MengChu Zhou (IEEE Internet Things J., 2025)

A Fast Feedforward Small-World Neural Network for Nonlinear System Modeling. - Wenjing Li 004; Zhigang Li; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Diversity-based niche genetic algorithm for bi-objective mixed fleet vehicle routing problem with time window. - Shengli Du 001; Shilong Li; Honggui Han; Junfei Qiao 001 (Neural Comput. Appl., 2025)

Predefined-Time Adaptive Neural Control for Nonlinear Systems With Unknown Interconnections. - Honggui Han; Weiyu Ji; Zheng Liu 018; Haoyuan Sun; Junfei Qiao 001 (IEEE Trans. Cybern., 2025)

Robust Reconstructed Neural Network With Spectral Reshaping Activation. - Honggui Han; Zecheng Tang; Xiaolong Wu; Hongyan Yang 001; Junfei Qiao 001 (IEEE Trans. Cybern., 2025)

Improved Evolutionary Multitasking Optimization Algorithm With Similarity Evaluation of Search Behavior. - Xiaolong Wu; Wei Wang 372; Tengfei Zhang; Honggui Han; Junfei Qiao 001 (IEEE Trans. Evol. Comput., 2025)

Model-Data Jointly Driven Method for Airborne Particulate Matter Monitoring. - Ke Gu 001; Yuchen Liu; Hongyan Liu 004; Bo Liu 024; Lai-Kuan Wong; Weisi Lin; Junfei Qiao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Multispatial-Scale Optimal Control With Multisource Information for Nitrification in Wastewater Treatment Process. - Honggui Han; Yushuang Wang; Zheng Liu 018; Haoyuan Sun; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2025)

Knowledge-Data Driven Multitime-Scale Optimal Control for Wastewater Treatment Process. - Honggui Han; Yushuang Wang; Zheng Liu 018; Haoyuan Sun; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2025)

Hybrid Event-Triggered Control with Stability Analysis. - Ding Wang 001; Lingzhi Hu; Junfei Qiao 001 (IEEE CAA J. Autom. Sinica, 2025)

Accelerated Value Iteration-Based Safe Q-Learning for Data-Driven Optimal Tracking Control. - Mingming Zhao; Ding Wang 001; Shijie Song; Junfei Qiao 001 (IEEE Trans. Cybern., 2025)

Double-Layer Fuzzy Neural Network Based Optimal Control for Wastewater Treatment Process. - Junfei Qiao 001; Dingyuan Chen; Cuili Yang; Dapeng Li 004 (IEEE Trans. Fuzzy Syst., 2025)

Adaptive Fuzzy Cooperative Control Based on a Predefined Time Disturbance Observer for MASs. - Hong-Gui Han; Han-Qian Hou; Hao-Yuan Sun; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Iterative Q-Learning Design for Zero-Sum Games With Evolving Policies. - Ding Wang 001; Yuan Wang 056; Mingming Zhao; Junfei Qiao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Boundary Consensus of Networked Hyperbolic Systems of Conservation Laws. - Jingyuan Zhan; Liguo Zhang; Junfei Qiao 001 (IEEE Trans. Autom. Control., 2025)

Self-organizing fuzzy neural network with adaptive evolution strategy for nonlinear and nonstationary processes. - Xi Meng; Qizheng Hou; Limin Quan; Junfei Qiao 001 (Artif. Intell. Rev., 2025)

An intelligent piecewise linear modeling approach from noisy data and its applications to water supply system. - Junfei Qiao 001; Shaobudao Yang; Anqi Fu (Int. J. Syst. Sci., 2025)

Model-Free Neuro-Fuzzy Q-Learning Control With Swarm Intelligence. - Ding Wang 001; Zeqiang Yuan; Ao Liu 012; Qiao Lin; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2025)

DEPFSWNN: A data-driven efficient pruning feedforward small-world neural network as a virtual sensor for total phosphorus in wastewater treatment process. - Wenjing Li 004; Zhigang Li; Junfei Qiao 001 (Expert Syst. Appl., 2026)