J. Qiao

发表

No-Reference Quality Assessment of Screen Content Pictures

Ke Gu, Guangtao Zhai, Alan Conrad Bovik, 2017, IEEE Transactions on Image Processing.

Q-Learning Based on Dynamical Structure Neural Network for Robot Navigation in Unknown Environment

Xiaogang Ruan, Junfei Qiao, Honggui Han, 2009, ISNN.

Dioxin Emission Concentration Forecasting Model for MSWI Process with Random Forest-Based Transfer Learning

J. Qiao, Heng Xia, Jian Tang, 2020, 2020 39th Chinese Control Conference (CCC).

Brief paper - Improved zonotopic method to set membership identification for systems with time-varying parameters

J. Qiao, Xuejiao Sun, W. Chai, 2011 .

Neural Network On‐Line Modeling and Controlling Method for Multi‐Variable Control of Wastewater Treatment Processes

J. Qiao, Hong-gui Han, Guang Han, 2014 .

Comparative Study of Latent Structure Modeling Approaches with Its Application to Prediction Dioxin Emission Concentration

J. Qiao, Jian Tang, Zhe Xu, 2019, 2019 Chinese Control And Decision Conference (CCDC).

Deflection monitoring of thin-walled wing spar subjected to bending load using multi-element FBG sensors

J. Qiao, M. Dong, Lianqing Zhu, 2018, Optik.

Numerical Simulation Model of Dioxin Production in Grate Furnace-Based Municipal Solid Waste Incineration Process

J. Qiao, Jian Tang, Zihao Guo, 2018, 2018 37th Chinese Control Conference (CCC).

A fast feature selection method in polynomial echo state networks

Junfei Qiao, Xinxin Zhu, Cuili Yang, 2019, 2019 Chinese Control Conference (CCC).

Intelligent Optimal Control System With Flexible Objective Functions and Its Applications in Wastewater Treatment Process

Junfei Qiao, Honggui Han, Lu Zhang, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Prediction of PM2.5 concentration based on recurrent fuzzy neural network

Junfei Qiao, Wenjing Li, Shanshan Zhou, 2017, 2017 36th Chinese Control Conference (CCC).

Leader-following consensus for nonlinear multiagent systems with large delays

Wei Li, Junfei Qiao, Sheng-Li Du, 2018, Trans. Inst. Meas. Control.

Batch Gradient Training Method with Smoothing l_0 Regularization for Echo State Networks

J. Qiao, Cuili Yang, Zohaib Y Ahmad, 2019, MLICOM.

Structure optimization for echo state network based on contribution

Rong Li, Fu Liu, Junfei Qiao, 2019, Tsinghua Science and Technology.

A self-organizing deep belief network for nonlinear system modeling

Junfei Qiao, Wenjing Li, Xiaoli Li, 2018, Appl. Soft Comput..

Deep forest regression based on cross-layer full connection

Jian Tang, Junfei Qiao, Wen Yu, 2021, Neural Computing and Applications.

A fast and efficient two-phase sequential learning algorithm for spatial architecture neural network

Junfei Qiao, Gang Yang, J. Qiao, 2014, Appl. Soft Comput..

Path planning and tracking for Agricultural master-slave robot system

Junfei Qiao, Hengyi Zhang, Peng Zhang, 2010, 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering.

Singular value decomposition based functional link learning machine and its application to process modeling

Junfei Qiao, Bao Zhu, J. Qiao, 2019, 2019 Chinese Automation Congress (CAC).

A Self-Organizing Recurrent Neural Network Based on Dynamic Analysis

Junfei Qiao, Qili Chen, Yi Ming Zou, 2017 .

Neural network predictive optimal control for wastewater treatment

Junfei Qiao, Xiongwei Shi, J. Qiao, 2010, 2010 International Conference on Intelligent Control and Information Processing.

An ART-like algorithm for constructing RBF neural networks

Junfei Qiao, Honggui Han, Xi Meng, 2015, IJCNN.

Command-filter-based adaptive neural tracking control for strict-feedback stochastic nonlinear systems with input dead-zone

Junfei Qiao, Huanqing Wang, Ben Niu, 2021, Int. J. Syst. Sci..

Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant

Junfei Qiao, Ding Wang, Mingming Ha, 2021, IEEE Transactions on Industrial Electronics.

Design of water distribution network via ant colony optimization

Junfei Qiao, Lei Tong, Guang Han, 2011, 2011 2nd International Conference on Intelligent Control and Information Processing.

Urban PM2.5 prediction based on temporal convolution network

Junfei Qiao, Ting Shi, Wu Yang, 2021, Other Conferences.

A fuzzy neural network approach for online fault detection in waste water treatment process

Junfei Qiao, Ying Li, Honggui Han, 2014, Comput. Electr. Eng..

An adaptive multi-objective differential evolution algorithm based on evolutionary process information

Junfei Qiao, Ying Hou, Honggui Han, 2017, 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).

A GPRFNN-based control system for wastewater treatment process

Junfei Qiao, Honggui Han, Gaitang Han, 2016, CCC 2016.

Prediction of activated sludge bulking based on a self-organizing RBF neural network☆

J. Qiao, Hong-gui Han, 2012 .

An intelligent detection method for bulking sludge of wastewater treatment process

J. Qiao, Hong-gui Han, Zheng Liu, 2018, Journal of Process Control.

Mill Load Parameter Forecasting Based on Multi-source Single-scale Mechanical Frequency Spectral Multiple feature Subsets

Jian Tang, Junfei Qiao, J. J. Zhao, 2018 .

Approximate neural optimal control with reinforcement learning for a torsional pendulum device

Junfei Qiao, Ding Wang, Ding Wang, 2019, Neural Networks.

A sludge volume index (SVI) model based on the multivariate local quadratic polynomial regression method

J. Qiao, Hong-gui Han, Xiaolong Wu, 2017 .

Cooperative strategy for constructing interval type-2 fuzzy neural network

Junfei Qiao, Honggui Han, Xiaolong Wu, 2019, Neurocomputing.

Prediction of $${\mathrm{PM}}_{2.5}$$ concentration based on multi-source data and self-organizing fuzzy neural network

Junfei Qiao, Shengli Du, Zengzeng He, 2020 .

A metric-based meta-learning approach combined attention mechanism and ensemble learning for few-shot learning

Junfei Qiao, Nan Guo, Hongyan Liu, 2021, Displays.

Input-to-state stability of coupled hyperbolic PDE-ODE systems via boundary feedback control

Junfei Qiao, Liguo Zhang, Jianru Hao, 2019, Science China Information Sciences.

Hybrid Structure Based PSO for ESN Optimization

Junfei Qiao, Cuili Yang, Kaizhe Nie, 2019, 2019 IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN).

Improved deep CNNs based on Nonlinear Hybrid Attention Module for image classification

Ke Gu, Junfei Qiao, Nan Guo, 2021, Neural Networks.

A novel echo state network design method based on differential evolution algorithm

Junfei Qiao, Lei Wang, Cuili Yang, 2017, 2017 36th Chinese Control Conference (CCC).

Set membership state estimation with improved zonotopic description of feasible solution set

Junfei Qiao, Xianfang Sun, Wei Chai, 2013 .

Optimal Structure Design for RBFNN Structure: Optimal Structure Design for RBFNN Structure

Jun-Fei Qiao, Hong-Gui Han, J. Qiao, 2010 .

Robust fault detection using set membership estimation and TS fuzzy neural network *

Heng Wang, J. Qiao, W. Chai, 2013 .

Nonlinear system modeling and fault detection method using set membership estimation and T-S fuzzy model

Junfei Qiao, Wei Chai, J. Qiao, 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.

Hybrid Approaches Tabu Learning Algorithm Based Neural Network

J. Qiao, Hong-gui Han, Jian Ye, 2008 .

Intelligent Modeling Approach to Predict Effluent Quality of Wastewater Treatment Process

J. Qiao, Hong-gui Han, Lu Zhang, 2018, Wastewater and Water Quality.

A data-derived soft-sensor method for monitoring effluent total phosphorus

J. Qiao, Hong-gui Han, Shuguang Zhu, 2017 .

Emotional Neural Network Based on Improved CLPSO Algorithm For Time Series Prediction

J. Qiao, Cuili Yang, Hongye Zhang, 2021, Neural Processing Letters.

A modified hopfield neural network for solving TSP problem

Junfei Qiao, Wenjing Li, J. Qiao, 2016, 2016 12th World Congress on Intelligent Control and Automation (WCICA).

Soft sensing of effluent ammonia nitrogen using rule automatic formation-based adaptive fuzzy neural network

Junfei Qiao, Hongbiao Zhou, J. Qiao, 2019, DESALINATION AND WATER TREATMENT.

Recurrent Air Quality Predictor Based on Meteorology- and Pollution-Related Factors

Ke Gu, Junfei Qiao, Weisi Lin, 2018, IEEE Transactions on Industrial Informatics.

Prediction of $$\hbox {PM}_{2.5}$$ concentration based on weighted bagging and image contrast-sensitive features

Junfei Qiao, Shengli Du, Zengzeng He, 2020 .

Set membership identification using SLLE and NMC

Xianfang Sun, J. Qiao, W. Chai, 2010, 2010 8th World Congress on Intelligent Control and Automation.

Accelerated gradient algorithm for RBF neural network

Junfei Qiao, Honggui Han, Miaoli Ma, 2021, Neurocomputing.

A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization

Shengxiang Yang, Junfei Qiao, Weichao Yue, 2021, Swarm Evol. Comput..

A new growing self-organizing neuron-fuzzy network with application to wastewater treatment

Junfei Qiao, Honggui Han, J. Qiao, 2008, FUZZ-IEEE.

Biological oxygen demand (BOD) soft measuring based on dynamic neural network (DNN): A simulation study

Junfei Qiao, Honggui Han, J. Qiao, 2009, 2009 7th Asian Control Conference.

Design of Syncretic Fuzzy-Neural Control for WWTP

Junfei Qiao, Honggui Han, Zheng Liu, 2022, IEEE Transactions on Fuzzy Systems.

Intelligent optimal tracking with asymmetric constraints of a nonlinear wastewater treatment system

Junfei Qiao, Ding Wang, Mingming Zhao, 2021, International Journal of Robust and Nonlinear Control.

Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning

MengChu Zhou, Qing-Shan Jia, Junfei Qiao, 2021, Neurocomputing.

Identification of fuzzy neural networks by forward recursive input-output clustering and accurate similarity analysis

Wei Li, Xiao-Jun Zeng, Junfei Qiao, 2016, Appl. Soft Comput..

Predicting PM 2 . 5 Concentrations at a Regional Background Station Using Second Order Self-Organizing Fuzzy Neural Network

J. Qiao, Hong-gui Han, Jianxian Cai, 2017 .

Online and Self-Learning Approach to the Identification of Fuzzy Neural Networks

Xiao-jun Zeng, J. Qiao, Wei Li, 2020, IEEE Transactions on Fuzzy Systems.

A PLS-based pruning algorithm for simplified long-short term memory neural network in time series prediction

Xiaoxiao Wang, J. Qiao, Hong-gui Han, 2022, Knowl. Based Syst..

Remote Sensing Inversion for River Turbidity Estimation Based on Noise Injection and Ensemble Learning

J. Qiao, Hongyan Liu, Yazhen Zhou, 2021, 2021 China Automation Congress (CAC).

Soft Measuring Method of Dioxin Emission Concentration for MSWI Process Based on RF and GBDT

J. Qiao, Heng Xia, Jian Tang, 2020, 2020 Chinese Control And Decision Conference (CCDC).

Neural-Network-Based Self-Learning Disturbance Rejection Design for Continuous-Time Nonlinear Constrained Systems

Ding Wang, J. Qiao, Meng Li, 2021, 2021 40th Chinese Control Conference (CCC).

Model-Free Off-Policy Iterative Adaptive Dynamic Programming for Nitrate-Nitrogen Concentration Control

Ding Wang, J. Qiao, Ruyue Yang, 2021, 2021 33rd Chinese Control and Decision Conference (CCDC).

A weight initialization method for fuzzy neural network based on rule partition

J. Qiao, Wenjing Li, Xue-fei Wang, 2021, 2021 33rd Chinese Control and Decision Conference (CCDC).

Multi‐Variable Direct Self‐Organizing Fuzzy Neural Network Control for Wastewater Treatment Process

Junfei Qiao, Wei Zhang, J. Qiao, 2018, Asian Journal of Control.

Flare Soot Monitoring Based on Thermal Infrared Image Processing and Attention-based Meta-learning

J. Qiao, Ke Gu, Nan Guo, 2021, 2021 China Automation Congress (CAC).

Resilient Output Synchronization of Heterogeneous Multiagent Systems With DoS Attacks Under Distributed Event-/Self-Triggered Control

D. Ho, Wenying Xu, J. Qiao, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Control Methods of Municipal Solid Wastes Incineration Process: A Survey

J. Qiao, Jian Tang, Haixu Ding, 2021, 2021 40th Chinese Control Conference (CCC).

Artificial neural networks for water quality soft-sensing in wastewater treatment: a review

A. Abusorrah, J. Qiao, Qing-Shan Jia, 2021, Artificial Intelligence Review.

Virtual sample generation method based on generative adversarial fuzzy neural network

J. Qiao, Heng Xia, Jian Tang, 2022, Neural Computing and Applications.

Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network

J. Qiao, Longyang Wang, 2020, Applied Intelligence.

Hybrid Water Quality Prediction with Bidirectional Long Short-Term Memory and Encoder-Decoder

J. Qiao, Lu Zhang, Haitao Yuan, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Design of a hierarchy modular neural network and its application in multimodal emotion recognition

J. Qiao, Wenjing Li, Minghui Chu, 2019, Soft Computing.

A Multitask Learning Model for the Prediction of NOx Emissions in Municipal Solid Waste Incineration Processes

J. Qiao, Xi Meng, Jianglong Zhou, 2023, IEEE Transactions on Instrumentation and Measurement.

A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling

Junfei Qiao, Wenjing Li, Minghui Chu, 2020, Neural Networks.

Mutual information based weight initialization method for sigmoidal feedforward neural networks

Junfei Qiao, Wenjing Li, Sanyi Li, 2016, Neurocomputing.

An online self-adaptive modular neural network for time-varying systems

Junfei Qiao, Zhaozhao Zhang, Yingchun Bo, 2014, Neurocomputing.

Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances

Weisi Lin, Xin Xu, Junfei Qiao, 2020, IEEE Transactions on Big Data.

Evaluating Quality of Screen Content Images Via Structural Variation Analysis

Daniel Thalmann, Xiongkuo Min, Ke Gu, 2018, IEEE Transactions on Visualization and Computer Graphics.

Artificial neural networks for water quality soft-sensing in wastewater treatment: a review

Abdullah Abusorrah, Qing-Shan Jia, Junfei Qiao, 2021, Artif. Intell. Rev..

Data-based composite control design with critic intelligence for a wastewater treatment platform

Jun Yan, Ding Wang, Junfei Qiao, 2020, Artificial Intelligence Review.

Fault detection of sludge bulking using a self-organizing type-2 fuzzy-neural-network

Junfei Qiao, Honggui Han, Zheng Liu, 2019, Control Engineering Practice.

Multiobjective design of fuzzy neural network controller for wastewater treatment process

Junfei Qiao, Lu Zhang, Honggui Han, 2018, Appl. Soft Comput..

Knowledge-Data-Driven Model Predictive Control for a Class of Nonlinear Systems

Zheng Liu, Junfei Qiao, Honggui Han, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Highly Efficient Picture-Based Prediction of PM2.5 Concentration

Ke Gu, Xiaoli Li, Junfei Qiao, 2019, IEEE Transactions on Industrial Electronics.

Dynamic multi-objective optimization control for wastewater treatment process

Wei Zhang, Junfei Qiao, Wei Zhang, 2018, Neural Computing and Applications.

An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines

Qing-Shan Jia, Junfei Qiao, MengChu Zhou, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Multiphase batch process monitoring based on higher‐order cumulant analysis

Zhang Xiangyu, Junfei Qiao, Lu Ruiwei, 2020, The Canadian Journal of Chemical Engineering.

DF classification algorithm for constructing a small sample size of data-oriented DF regression model

J. Qiao, Heng Xia, Wen Yu, 2022, Neural Computing and Applications.

Design of a self-organizing reciprocal modular neural network for nonlinear system modeling

Meng Li, Junfei Qiao, Wenjing Li, 2020, Neurocomputing.

A feature clustering-based adaptive modular neural network for nonlinear system modeling.

Meng Li, Xin Guo, Junfei Qiao, 2019, ISA transactions.

How Deep Is Deep Enough for Deep Belief Network for Approximating Model Predictive Control Law

Junfei Qiao, Gongming Wang, Caixia Liu, 2021, IEEE Transactions on Automation Science and Engineering.

Investigation on dioxins emission characteristic during complete maintenance operating period of municipal solid waste incineration.

J. Qiao, Heng Xia, Loai Aljerf, 2022, Environmental pollution.

A self-organizing fuzzy neural network and its applications to function approximation and forecast modeling

Junfei Qiao, Huidong Wang, J. Qiao, 2008, Neurocomputing.

Nonlinear system modeling using a self-organizing recurrent radial basis function neural network

Junfei Qiao, Honggui Han, Ya-Nan Guo, 2017, Appl. Soft Comput..

Adaptive Computation Algorithm for RBF Neural Network

Junfei Qiao, Honggui Han, J. Qiao, 2012, IEEE Transactions on Neural Networks and Learning Systems.

A pseudo-inverse decomposition-based self-organizing modular echo state network for time series prediction

J. Qiao, Lei Wang, Feng Deng, 2021, Appl. Soft Comput..

A deep belief network with PLSR for nonlinear system modeling

Junfei Qiao, Wenjing Li, Xiaoli Li, 2017, Neural Networks.

Double Window Concept Drift Detection Method Based on Sample Distribution Statistical Test

Junfei Qiao, Jian Tang, Zijian Sun, 2019, 2019 Chinese Automation Congress (CAC).

Data-Driven Multiobjective Predictive Control for Wastewater Treatment Process

Zheng Liu, Junfei Qiao, Honggui Han, 2020, IEEE Transactions on Industrial Informatics.

Multiobjective optimal control for wastewater treatment process using adaptive MOEA/D

J. Qiao, Hongbiao Zhou, 2018, Applied Intelligence.

Adaptive optimal control for a wastewater treatment plant based on a data-driven method.

Wei Chai, Jun-Fei Qiao, Ying-Chun Bo, 2013, Water science and technology : a journal of the International Association on Water Pollution Research.

Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network

Junfei Qiao, Honggui Han, Qili Chen, 2012 .

A self-organizing cascade neural network for nonlinear system modeling

Junfei Qiao, Cuili Yang, Yin Su, 2019, 2019 Chinese Control Conference (CCC).

A novel modular RBF neural network based on a brain-like partition method

Wen-Jing Li, Bogdan M. Wilamowski, Xi Meng, 2018, Neural Computing and Applications.

Nonlinear System Modeling Using RBF Networks for Industrial Application

Bogdan M. Wilamowski, Xi Meng, Jun-Fei Qiao, 2018, IEEE Transactions on Industrial Informatics.

A self-organizing cascade neural network with random weights for nonlinear system modeling

Junfei Qiao, Honggui Han, Fanjun Li, 2016, Appl. Soft Comput..

Constructive algorithm for fully connected cascade feedforward neural networks

Junfei Qiao, Honggui Han, Wenjing Li, 2016, Neurocomputing.

On-line adaptive control for inverted pendulum balancing based on feedback-error-learning

Xiaogang Ruan, Junfei Qiao, Daoxiong Gong, 2007, Neurocomputing.

Dynamical regularized echo state network for time series prediction

Junfei Qiao, Lei Wang, Cuili Yang, 2019, Neural Computing and Applications.

PI boundary control of linear hyperbolic balance laws with stabilization of ARZ traffic flow models

Junfei Qiao, Christophe Prieur, Liguo Zhang, 2019, Syst. Control. Lett..

Hierarchical extreme learning machine for feedforward neural network

Junfei Qiao, Lidan Wang, Honggui Han, 2014, Neurocomputing.

Self-organization of a recurrent RBF neural network using an information-oriented algorithm

Junfei Qiao, Honggui Han, Ya-Nan Guo, 2017, Neurocomputing.

A novel decomposition-based multiobjective evolutionary algorithm using improved multiple adaptive dynamic selection strategies

Junfei Qiao, Ding Wang, Baocai Yin, 2020, Inf. Sci..

A self-organizing recurrent fuzzy neural network based on multivariate time series analysis

Junfei Qiao, Wenjing Li, Ding Haixu, 2020, Neural Computing and Applications.

An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design

Junfei Qiao, Long Cheng, Ding Wang, 2020, IEEE Transactions on Cybernetics.

Modeling of energy consumption and effluent quality using density peaks-based adaptive fuzzy neural network

Junfei Qiao, Hongbiao Zhou, J. Qiao, 2018, IEEE/CAA Journal of Automatica Sinica.

Event-triggered PID control for wastewater treatment plants

Junfei Qiao, Shengli Du, Qiushuo Yan, 2020 .

An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection

Fei Li, Ke Gu, Junfei Qiao, 2020, Inf. Sci..

Modelling the furnace temperature field of a municipal solid waste incinerator using the numerical simulation and the deep forest regression algorithm

J. Qiao, Heng Xia, Jian Tang, 2023, Fuel.

Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner

J. Qiao, Tingmeng Shi, Hongyan Liu, 2022, IEEE Transactions on Instrumentation and Measurement.

An online self-organizing modular neural network for nonlinear system modeling

Xin Guo, Junfei Qiao, Wenjing Li, 2020, Appl. Soft Comput..

A self-organizing deep belief network based on information relevance strategy

Junfei Qiao, Honggui Han, Min Guo, 2020, Neurocomputing.

Prediction of $$\hbox {PM}_{2.5}$$ concentration based on weighted bagging and image contrast-sensitive features

J. Qiao, Shengli Du, Zengzeng He, 2020 .

Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network

Junfei Qiao, Longyang Wang, J. Qiao, 2020, Applied Intelligence.

A sparse deep belief network with efficient fuzzy learning framework

Junfei Qiao, Jing Bi, Qing-Shan Jia, 2020, Neural Networks.

An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling

Junfei Qiao, Jing Bi, Mengchu Zhou, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

TL-GDBN: Growing Deep Belief Network With Transfer Learning

MengChu Zhou, Jing Bi, GongMing Wang, 2019, IEEE Transactions on Automation Science and Engineering.

Modeling of nonlinear systems using the self-organizing fuzzy neural network with adaptive gradient algorithm

Junfei Qiao, Honggui Han, Zheng-Lai Lin, 2017, Neurocomputing.

Efficient self-organizing multilayer neural network for nonlinear system modeling

J. Qiao, Lidan Wang, Hong-gui Han, 2013, Neural Networks.

Hierarchical Neural Network Modeling Approach to Predict Sludge Volume Index of Wastewater Treatment Process

Junfei Qiao, Honggui Han, J. Qiao, 2013, IEEE Transactions on Control Systems Technology.

Identification and modeling of nonlinear dynamical systems using a novel self-organizing RBF-based approach

Junfei Qiao, Honggui Han, J. Qiao, 2012, Autom..

An efficient self-organizing RBF neural network for water quality prediction

Junfei Qiao, Honggui Han, Qili Chen, 2011, Neural Networks.

A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm

Junfei Qiao, Honggui Han, J. Qiao, 2010, IEEE Transactions on Fuzzy Systems.

The optimal design and application of LSTM neural network based on the hybrid coding PSO algorithm

J. Qiao, Cuili Yang, Z. Chen, 2021, The Journal of Supercomputing.

Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation

Junfei Qiao, Ding Wang, Mingming Ha, 2020, IEEE Transactions on Automatic Control.

On Structure Design for RBF Neural Network Based on Information Strength

Ying-Chun Bo, Hong-Gui Han, Jun-Fei Qiao, 2012 .

Research on Nonlinear Systems Modeling Methods Based on Neural Networks

J. Qiao, Tingmeng Shi, Wu Yang, 2021, Journal of Physics: Conference Series.

Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data

Ke Gu, Dacheng Tao, Weisi Lin, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Design of Dynamic Modular Neural Network Based on Adaptive Particle Swarm Optimization Algorithm

Chao Lu, Wen-Jing Li, Jun-Fei Qiao, 2018, IEEE Access.

Design of a hierarchy modular neural network and its application in multimodal emotion recognition

Junfei Qiao, Wenjing Li, Minghui Chu, 2019, Soft Comput..

Multiscale Natural Scene Statistical Analysis for No-Reference Quality Evaluation of DIBR-Synthesized Views

Weisi Lin, Junfei Qiao, Hantao Liu, 2020, IEEE Transactions on Broadcasting.

Active Vision for Deep Visual Learning: A Unified Pooling Framework

J. Qiao, Hantao Liu, Nan Guo, 2022, IEEE Transactions on Industrial Informatics.

An adaptive task-oriented RBF network for key water quality parameters prediction in wastewater treatment process

Junfei Qiao, Xi Meng, Yin Zhang, 2021, Neural Computing and Applications.

Soft Measurement Modeling Based on Chaos Theory for Biochemical Oxygen Demand (BOD)

Zhiqiang Hu, Junfei Qiao, Wenjing Li, 2016 .

Prediction of PM2.5 based on Elman neural network with chaos theory

Junfei Qiao, Wenjing Li, J. Qiao, 2016, CCC 2016.

Ensemble Meta-Learning for Few-Shot Soot Density Recognition

Junfei Qiao, Yonghui Zhang, Ke Gu, 2021, IEEE Transactions on Industrial Informatics.

Dual-layer optimized selective information fusion using multi-source multi-component mechanical signals for mill load parameters forecasting

Junfei Qiao, Gang Yu, Jian Tang, 2020 .

Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum

Jian Tang, Junfei Qiao, Zhuo Liu, 2018, Soft Comput..

Mechanism characteristic analysis and soft measuring method review for ball mill load based on mechanical vibration and acoustic signals in the grinding process

Junfei Qiao, Jian Tang, Zhuo Liu, 2018, Minerals Engineering.

Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum

J. Qiao, Jianjun Zhao, Jian Tang, 2018, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

Vibration and acoustic frequency spectra for industrial process modeling using selective fusion multi-condition samples and multi-source features

Jian Tang, Tianyou Chai, Jian Tang, 2018 .

Cooperative localization and evaluation of small-scaled spherical underwater robots

Lianqing Zhu, Guangkai Sun, Junfei Qiao, 2018, Microsystem Technologies.

Design of Robust Sliding Mode Control With Adaptive Reaching Law

Junfei Qiao, Honggui Han, Xiaolong Wu, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Type-2 Fuzzy Broad Learning System

C. L. P. Chen, J. Qiao, Hong-gui Han, 2021, IEEE Transactions on Cybernetics.

Vision-Based Monitoring of Flare Soot

Junfei Qiao, Yonghui Zhang, Ke Gu, 2020, IEEE Transactions on Instrumentation and Measurement.

Air Quality Controlling-Oriented Highly Efficient Method for Monitoring Particulate Matters

Ke Gu, Zhifang Xia, Yonghui Zhang, 2020, 2020 39th Chinese Control Conference (CCC).

A tabu based neural network learning algorithm

Xiaogang Ruan, Jian Ye, Junfei Qiao, 2007, Neurocomputing.

Review of Concept Drift Detection Method for Industrial Process Modeling

Jian Tang, Junfei Qiao, Zijian Sun, 2020, 2020 39th Chinese Control Conference (CCC).

Adaptive lasso echo state network based on modified Bayesian information criterion for nonlinear system modeling

Junfei Qiao, Cuili Yang, Lei Wang, 2019, Neural Computing and Applications.

An adaptive deep Q-learning strategy for handwritten digit recognition

Min Chen, Junfei Qiao, Wenjing Li, 2018, Neural Networks.

Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network

Junfei Qiao, Lu Zhang, Ying Hou, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Self-Organizing RBF Neural Network Using an Adaptive Gradient Multiobjective Particle Swarm Optimization

Yu Tian, Xiaolong Wu, Junfei Qiao, 2019, IEEE Transactions on Cybernetics.

A multi-objective particle swarm optimization algorithm based on two-archive mechanism

J. Qiao, Xi Meng, Ying Cui, 2022, Appl. Soft Comput..

Research on an online self-organizing radial basis function neural network

Junfei Qiao, Honggui Han, Qili Chen, 2010, Neural Computing and Applications.

Forward and backward input variable selection for polynomial echo state networks

Junfei Qiao, Xinxin Zhu, Kaizhe Nie, 2020, Neurocomputing.

Cooperative Fuzzy-Neural Control for Wastewater Treatment Process

Honggui Han, Junfei Qiao, Hong-Xu Liu, 2021, IEEE Transactions on Industrial Informatics.

Deep Dual-Channel Neural Network for Image-Based Smoke Detection

Weisi Lin, Ke Gu, Junfei Qiao, 2020, IEEE Transactions on Multimedia.

Optimal control for wastewater treatment process based on an adaptive multi-objective differential evolution algorithm

J. Qiao, Hong-gui Han, Ying Hou, 2019, Neural Computing and Applications.

Prediction of Effluent Ammonia Nitrogen Using FNN-based CBR

Xudong Ye, Junfei Qiao, Cuili Yang, 2018, 2018 37th Chinese Control Conference (CCC).

A Hybrid Intelligent Optimal Control System Design for Wastewater Treatment Process

Wei Li, Junfei Qiao, Honggui Han, 2017, Inf. Technol. Control..

Soft Computing of Biochemical Oxygen Demand Using an Improved T–S Fuzzy Neural Network☆

Junfei Qiao, Wei Li, Honggui Han, 2014 .

Guaranteed cost stabilization control of discrete‐time switched systems

Guangdeng Zong, Xudong Zhao, Shengli Du, 2020, IET Control Theory & Applications.

A Self Organizing Recurrent Neural Network

Junfei Qiao, Qili Chen, Yi Ming Zou, 2017 .

Cooperative Optimal Controller and Its Application to Activated Sludge Process

Jun-Fei Qiao, Lu Zhang, Hong-Gui Han, 2019, IEEE Transactions on Cybernetics.

Data-driven intelligent monitoring system for key variables in wastewater treatment process

Junfei Qiao, Honggui Han, Guo Min, 2018, Chinese Journal of Chemical Engineering.

LASSO and attention-TCN: a concurrent method for indoor particulate matter prediction

J. Qiao, Tingmeng Shi, Wu Yang, 2023, Applied intelligence.

Dynamic modeling of multi-input and multi-output controlled object for municipal solid waste incineration process

J. Qiao, Jian Tang, Haixu Ding, 2023, Applied Energy.

Underwater motion characteristics evaluation of multi amphibious spherical robots

Shuxiang Guo, Lianqing Zhu, Guangkai Sun, 2018, Microsystem Technologies.

Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System

Qing-Shan Jia, Junfei Qiao, MengChu Zhou, 2020, IEEE Transactions on Neural Networks and Learning Systems.

An incremental neuronal-activity-based RBF neural network for nonlinear system modeling

Junfei Qiao, Wenjing Li, Xi Meng, 2018, Neurocomputing.

Effluent ammonia nitrogen prediction using a phase space reconstruction method combining pipelined recurrent wavelet neural network

J. Qiao, Cuili Yang, Yin Su, 2022, Appl. Soft Comput..

Local Exponential Stabilization of Semi-Linear Hyperbolic Systems by Means of a Boundary Feedback Control

Junfei Qiao, Christophe Prieur, Liguo Zhang, 2018, IEEE Control Systems Letters.

Application of ESN-based Multi Indices Dual Heuristic Dynamic Programming on Wastewater Treatment Process: Application of ESN-based Multi Indices Dual Heuristic Dynamic Programming on Wastewater Treatment Process

J. Qiao, Guang Han, Yingchun Bo, 2014 .

PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning

Weisi Lin, J. Qiao, Zhifang Xia, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems

J. Qiao, Haitao Yuan, J. Bi, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

A Direct Self-Constructing Neural Controller Design for a Class of Nonlinear Systems

Gang Feng, Junfei Qiao, Honggui Han, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process

Junfei Qiao, Honggui Han, J. Qiao, 2014, IEEE Transactions on Industrial Electronics.

Real-Time Model Predictive Control Using a Self-Organizing Neural Network

Junfei Qiao, Honggui Han, Xiao-Long Wu, 2013, IEEE Transactions on Neural Networks and Learning Systems.

An intelligent detecting system for permeability prediction of MBR.

Junfei Qiao, Honggui Han, Shuo Zhang, 2018, Water science and technology : a journal of the International Association on Water Pollution Research.

Modeling of wastewater treatment process using recurrent neural network

Junfei Qiao, Wei Chai, Qili Chen, 2010, 2010 8th World Congress on Intelligent Control and Automation.

Random Forest Ensemble for River Turbidity Measurement From Space Remote Sensing Data

Yonghui Zhang, Ke Gu, Junfei Qiao, 2020, IEEE Transactions on Instrumentation and Measurement.

Multi-indicator Water Time Series Imputation with Autoregressive Generative Adversarial Networks

J. Qiao, Haitao Yuan, J. Bi, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

State-PID feedback control with application to a robot vibration absorber

Junfei Qiao, Ge Guo, Zi Ma, 2006, Int. J. Model. Identif. Control..

Recognition of Combustion Condition in MSWI Process Based on Multi-scale Color Moment Features and Random Forest

Junfei Qiao, Jian Tang, Haoshan Duan, 2019, 2019 Chinese Automation Congress (CAC).

The prediction of daily water demand based on fuzzy neural network with an improved Levenberg-Marquardt algorithm

Li Zhang, Jun Fei Qiao, Wen Jing Li, 2017, 2017 36th Chinese Control Conference (CCC).

Multi-swarm Genetic Gray Wolf Optimizer with Embedded Autoencoders for High-dimensional Expensive Problems

J. Qiao, Haitao Yuan, J. Bi, 2023, IEEE International Conference on Robotics and Automation.

Stacked Selective Ensemble for PM2.5 Forecast

Junfei Qiao, Zhifang Xia, Ke Gu, 2020, IEEE Transactions on Instrumentation and Measurement.

Online sequential echo state network with sparse RLS algorithm for time series prediction

Junfei Qiao, Lei Wang, Cuili Yang, 2019, Neural Networks.

Online Measurement of Dioxin Emission in Solid Waste Incineration Using Fuzzy Broad Learning

J. Qiao, Heng Xia, Jian Tang, 2024, IEEE Transactions on Industrial Informatics.

Local Proportional-Integral Boundary Feedback Stabilization for Quasilinear Hyperbolic Systems of Balance Laws

Christophe Prieur, Junfei Qiao, Liguo Zhang, 2020, SIAM J. Control. Optim..

Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation

Junfei Qiao, Lu Zhang, Ying Hou, 2018, Neurocomputing.

Growing Echo-State Network With Multiple Subreservoirs

Junfei Qiao, Honggui Han, Wenjing Li, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Dynamic MOPSO-Based Optimal Control for Wastewater Treatment Process

Wei Lu, Ying Hou, Zheng Liu, 2019, IEEE Transactions on Cybernetics.

A Self-Organizing Sliding-Mode Controller for Wastewater Treatment Processes

Xiaolong Wu, Junfei Qiao, Honggui Han, 2019, IEEE Transactions on Control Systems Technology.

A self-organizing RBF neural network based on distance concentration immune algorithm

Ke Gu, Junfei Qiao, Wenjing Li, 2020, IEEE/CAA Journal of Automatica Sinica.

An Adaptive-PSO-Based Self-Organizing RBF Neural Network

Wei Lu, Ying Hou, Jun-Fei Qiao, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Integrated Spatio-Temporal Prediction for Water Quality with Graph Attention Network and WaveNet

J. Qiao, Haitao Yuan, J. Bi, 2022, IEEE International Conference on Systems, Man and Cybernetics.

Hybrid Water Quality Prediction with Graph Attention and Spatio-Temporal Fusion

J. Qiao, Haitao Yuan, J. Bi, 2022, IEEE International Conference on Systems, Man and Cybernetics.

Adaptive dissolved oxygen control based on dynamic structure neural network

Junfei Qiao, Honggui Han, J. Qiao, 2011, Appl. Soft Comput..

Robust Deep Neural Network Using Fuzzy Denoising Autoencoder

Junfei Qiao, Hui-Juan Zhang, Hong-Gui Han, 2020, Int. J. Fuzzy Syst..

Design of polynomial echo state networks for time series prediction

Lei Wang, Junfei Qiao, Honggui Han, 2018, Neurocomputing.

Adaptive Gradient Multiobjective Particle Swarm Optimization

Wei Lu, Junfei Qiao, Lu Zhang, 2018, IEEE Transactions on Cybernetics.

A Gradient Multiobjective Particle Swarm Optimization

Junfei Qiao, Lu Zhang, Honggui Han, 2018, Optimization Algorithms - Examples.

An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods

Junfei Qiao, Honggui Han, Wei Lu, 2017, IEEE Transactions on Cybernetics.

Fuzzy Neural Network-Based Model Predictive Control for Dissolved Oxygen Concentration of WWTPs

Junfei Qiao, Honggui Han, Zheng Liu, 2019, Int. J. Fuzzy Syst..

Adaptive Levenberg-Marquardt Algorithm Based Echo State Network for Chaotic Time Series Prediction

Ke Gu, Junfei Qiao, Lei Wang, 2018, IEEE Access.

Design of Extreme Learning Machine with Smoothed ℓ0 Regularization

Bing Li, Junfei Qiao, Cuili Yang, 2020, Mobile Networks and Applications.

Model-Based Referenceless Quality Metric of 3D Synthesized Images Using Local Image Description

Daniel Thalmann, Ke Gu, Xiaoli Li, 2018, IEEE Transactions on Image Processing.

Data-Driven Intelligent Warning Method for Membrane Fouling

Junfei Qiao, Honggui Han, Xiaolong Wu, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Effective and Efficient Photo-Based PM2.5 Concentration Estimation

Ke Gu, Junfei Qiao, Guanghui Yue, 2019, IEEE Transactions on Instrumentation and Measurement.

Compression-Based Quality Predictor of 3D-Synthesized Views

Junfei Qiao, Li Wu, Maoshen Liu, 2017, IFTC.

Using multiscale analysis for blind quality assessment of DIBR-synthesized images

Weisi Lin, Ke Gu, Patrick Le Callet, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Highly Efficient Quality Assessment of 3D-Synthesized Views Based on Compression Technology

Junfei Qiao, Zhuang Yang, Maoshen Liu, 2018, IEEE Access.

A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty

Shengxiang Yang, Junfei Qiao, Cuili Yang, 2019, Appl. Soft Comput..

An adaptive growing and pruning algorithm for designing recurrent neural network

Junfei Qiao, Honggui Han, Shuo Zhang, 2017, Neurocomputing.

A Spiking-based mechanism for self-organizing RBF neural networks

Gang Feng, Junfei Qiao, Lidan Wang, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Stability Analysis for a Class of Discrete-Time Switched Systems With Partial Unstable Subsystems

Hamid Reza Karimi, Chao Feng, Junfei Qiao, 2019, IEEE Transactions on Circuits and Systems II: Express Briefs.

Deep Forest Regression Based on Dynamic State Transition Optimization Algorithm

J. Qiao, Heng Xia, Jian Tang, 2020, 2020 Chinese Automation Congress (CAC).

Fixed-Time Cooperative Relay Tracking in Multiagent Surveillance Networks

Daniel W. C. Ho, Lijun Zhu, Junfei Qiao, 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Data-Based Predictive Control for Wastewater Treatment Process

Lu Zhang, Hong-gui Han, Jun-fei Qiao, 2018, IEEE Access.

Design of modeling error PDF based fuzzy neural network for effluent ammonia nitrogen prediction

Junfei Qiao, Cuili Yang, Limin Quan, 2020, Appl. Soft Comput..

Design of Incremental Echo State Network Using Leave-One-Out Cross-Validation

Junfei Qiao, Lei Wang, Xinxin Zhu, 2018, IEEE Access.

Design of Echo State Network with Coordinate Descent Method and l1 Regularization

Junfei Qiao, Cuili Yang, Wu Zhanhong, 2020, NCAA.

Temporal request scheduling for energy-efficient cloud data centers

MengChu Zhou, Junfei Qiao, Haitao Yuan, 2017, 2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC).

Data-driven decision-making for wastewater treatment process

Junfei Qiao, Zheng Liu, Honggui Han, 2020 .

Efficient self-organizing multilayer neural network for nonlinear system modeling

J. Qiao, Lidan Wang, Hong-gui Han, 2013, Neural Networks.

A self-organizing interval Type-2 fuzzy-neural-network for modeling nonlinear systems

Junfei Qiao, Honggui Han, Zhi-Yuan Chen, 2018, Neurocomputing.

Prediction of sludge bulking using the knowledge-leverage-based fuzzy neural network.

Zheng Liu, Junfei Qiao, Honggui Han, 2018, Water science and technology : a journal of the International Association on Water Pollution Research.

Discounted near‐optimal regulation of constrained nonlinear systems via generalized value iteration

Ding Wang, J. Qiao, Mingming Ha, 2021, International Journal of Robust and Nonlinear Control.

Recurrent Neural Network-Based Control for Wastewater Treatment Process

Junfei Qiao, Honggui Han, Xiaoqi Huang, 2012, ISNN.

A Repair Algorithm for Radial Basis Function Neural Network and its Application to Chemical oxygen Demand Modeling

Junfei Qiao, Honggui Han, J. Qiao, 2010, Int. J. Neural Syst..

Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process

J. Qiao, Hong-gui Han, 2014, IEEE Transactions on Industrial Electronics.

Design of sparse Bayesian echo state network for time series prediction

Lei Wang, Cuili Yang, Zhong Su, 2020, Neural Computing and Applications.

Mobile phone recognition method based on bilinear convolutional neural network

JunFei Qiao, HongGui Han, Qi Zhen, 2021, Science China Technological Sciences.

Data-knowledge-driven diagnosis method for sludge bulking of wastewater treatment process

Jun-Fei Qiao, Hong-Gui Han, Li-Xin Dong, 2021 .

Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis

Xiao-Jun Zeng, Junfei Qiao, Wei Li, 2020, Fuzzy Sets Syst..

Design of Self-Organizing Intelligent Controller Using Fuzzy Neural Network

Zheng Liu, Jun-Fei Qiao, Hong-Gui Han, 2018, IEEE Transactions on Fuzzy Systems.

MIMO modeling and multi-loop control based on neural network for municipal solid waste incineration

J. Qiao, Jian Tang, Haixu Ding, 2022, Control Engineering Practice.

NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes

J. Qiao, Jian Tang, Xi Meng, 2022, IEEE Transactions on Industrial Informatics.

Prediction of Oxygen Content Using Weighted PCA and Improved LSTM Network in MSWI Process

Junfei Qiao, Jian Sun, Xi Meng, 2021, IEEE Transactions on Instrumentation and Measurement.

An efficient self-organizing RBF neural network for water quality prediction

J. Qiao, Hong-gui Han, Qili Chen, 2011, Neural Networks.

Research on a Continuous Deep Belief Network for Feature Learning of Time Series Prediction

Junfei Qiao, Qili Chen, Ming Yu, 2019, 2019 Chinese Control And Decision Conference (CCDC).

A regularization-reinforced DBN for digital recognition

Junfei Qiao, Honggui Han, Guangyuan Pan, 2017, Natural Computing.

Research on Air Quality Monitoring System Based on STM32 Single Chip Microcomputer

J. Qiao, Tingmeng Shi, Wu Yang, 2022, 2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).