Jianhua Zhang

发表

An adaptive human-machine control system based on multiple fuzzy predictive models of operator functional state

Shaozeng Yang, Jianhua Zhang, 2013, Biomed. Signal Process. Control..

Classification of motion direction perceived based on EEG

Xingyu Wang, Jing Jin, Jianhua Zhang, 2008, 2008 Chinese Control and Decision Conference.

Estimation of Operator Functional State Using EEG Data-Driven Fuzzy Models with Entropy-Based Partition

Rubin Wang, Shaozeng Yang, Jianhua Zhang, 2016 .

Operator functional state estimation based on EEG-data-driven fuzzy model

Rubin Wang, Shaozeng Yang, Jianhua Zhang, 2016, Cognitive Neurodynamics.

An entropy-based fuzzy membership partition method used in operator functional state prediction

Shaozeng Yang, Jianhua Zhang, 2013, Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC).

Optimizing product distribution in the heavy oil catalytic cracking (MIP) process

Jianhua Zhang, F.-Sh. Ouyang, Wei-Shuo Fang, 2017 .

Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders

Jianhua Zhang, Yongxiong Wang, Zhong Yin, 2022, Expert Syst. Appl..

Quantitative Analysis of Functional Connectivity Between Prefrontal Cortex and Striatum in Monkey

Rubin Wang, Jianhua Zhang, Xiaochuan Pan, 2018 .

Operator functional state estimation based on EEG-data-driven fuzzy model

Rubin Wang, Shaozeng Yang, Jianhua Zhang, 2016, Cognitive Neurodynamics.

Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review

Jianhua Zhang, Zhong Yin, Stefano Nichele, 2020, Inf. Fusion.

Selection of Optimal EEG Electrodes for Human Emotion Recognition

Jianhua Zhang, Peng Chen, 2020 .

Automatic ocular artifact suppression from human operator's EEG based on a combination of independent component analysis and fuzzy c-means clustering techniques

Xingyu Wang, Jianhua Zhang, Raofen Wang, 2011, Proceedings of the 30th Chinese Control Conference.

A deep learning scheme for mental workload classification based on restricted Boltzmann machines

Jianhua Zhang, Sunan Li, Jianhua Zhang, 2017, Cognition, Technology & Work.

Hierarchical MPC of Hybrid Power Systems based on Fuzzy Discrete Abstraction

Jianhua Zhang, Jia-Jun Xia, 2020 .

Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders

Wei Zhang, Jianhua Zhang, Shuo Yang, 2019, Comput. Biol. Medicine.

Pattern Classification of Instantaneous Mental Workload Using Ensemble of Convolutional Neural Networks

Jianhua Zhang, Zhong Yin, Sunan Li, 2017 .

Pattern Recognition of Momentary Mental Workload Based on Multi-Channel Electrophysiological Data and Ensemble Convolutional Neural Networks

Rubin Wang, Jianhua Zhang, Sunan Li, 2017, Front. Neurosci..

Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets

Jonathan M. Garibaldi, Rubin Wang, Jianhua Zhang, 2017, Comput. Methods Programs Biomed..

A novel PSO algorithm based on an incremental-PID-controlled search strategy

Jianhua Zhang, Shaozeng Yang, Shaozeng Yang, 2016, Soft Comput..

An incremental-PID-controlled particle swarm optimization algorithm for EEG-data-based estimation of operator functional state

Jianhua Zhang, Shaozeng Yang, Shaozeng Yang, 2014, Biomed. Signal Process. Control..

Recognition of emotions using multimodal physiological signals and an ensemble deep learning model

Zhong Yin, Mengyuan Zhao, Yongxiong Wang, 2017, Comput. Methods Programs Biomed..

Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination

Wei Zhang, Li Liu, Zhong Yin, 2017, Front. Neurorobot..

Cross-subject mental workload classification using kernel spectral regression and transfer learning techniques

Jianhua Zhang, Sunan Li, Yongcun Wang, 2017, Cognition, Technology & Work.

Task-generic mental fatigue recognition based on neurophysiological signals and dynamical deep extreme learning machine

Jianhua Zhang, Zhong Yin, Jianhua Zhang, 2018, Neurocomputing.

Recognition of Cognitive Task Load levels using single channel EEG and Stacked Denoising Autoencoder

Jianhua Zhang, Zhong Yin, Jianhua Zhang, 2016, CCC 2016.

Imbalanced classification of mental workload using a cost-sensitive majority weighted minority oversampling strategy

Xiqing Cui, Rubin Wang, Jianrong Li, 2017, Cognition, Technology & Work.

Adaptive Fuzzy Modeling Based Assessment of Operator Functional State in Complex Human–Machine Systems

Jianhua Zhang, Rubin Wang, Rubin Wang, 2016 .

Identification of temporal variations in mental workload using locally-linear-embedding-based EEG feature reduction and support-vector-machine-based clustering and classification techniques

Zhong Yin, Jianhua Zhang, Jianhua Zhang, 2014, Comput. Methods Programs Biomed..

Operator functional state classification using least-square support vector machine based recursive feature elimination technique

Zhong Yin, Jianhua Zhang, Jianhua Zhang, 2014, Comput. Methods Programs Biomed..

Hybrid-Data-Driven Fuzzy Recognition of Operator Cognitive State in Human-Machine Cooperative Control System

Jianhua Zhang, Joerg Raisch, Jianhua Zhang, 2013 .

Fuzzy Logic based Identification of Operator Functional States Using Multiple Physiological and Performance Measures

Derek A. Linkens, Jianhua Zhang, Mahdi Mahfouf, 2008, 2008 International Conference on BioMedical Engineering and Informatics.

Adaptive Fuzzy Approaches to Modelling Operator Functional States in a Human-Machine Process Control System

Derek A. Linkens, Jianhua Zhang, Mahdi Mahfouf, 2007, 2007 IEEE International Fuzzy Systems Conference.

Pattern Classification of Instantaneous Cognitive Task-load Through GMM Clustering, Laplacian Eigenmap, and Ensemble SVMs

Jianhua Zhang, Rubin Wang, Zhong Yin, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Nonlinear Dynamic Classification of Momentary Mental Workload Using Physiological Features and NARX-Model-Based Least-Squares Support Vector Machines

Rubin Wang, Zhong Yin, Jianhua Zhang, 2017, IEEE Transactions on Human-Machine Systems.

Dynamical recursive feature elimination technique for neurophysiological signal-based emotion recognition

Li Liu, Lei Liu, Zhong Yin, 2017, Cognition, Technology & Work.

Instantaneous mental workload assessment using time–frequency analysis and semi-supervised learning

Jianhua Zhang, Rubin Wang, Jianrong Li, 2020, Cognitive Neurodynamics.

Identification of Mental Workload Using Imbalanced EEG Data and DySMOTE-based Neural Network Approach

Xiqing Cui, Jianhua Zhang, Rubin Wang, 2016 .

Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling

Lei Liu, Zhanquan Sun, Ying Tian, 2019, Symmetry.

Manifold Feature Fusion with Dynamical Feature Selection for Cross-Subject Emotion Recognition

Jianhua Zhang, Zhong Yin, Bingxue Zhang, 2021, Brain sciences.

Cross-session classification of mental workload levels using EEG and an adaptive deep learning model

Zhong Yin, Jianhua Zhang, Jianhua Zhang, 2017, Biomed. Signal Process. Control..

ssessment of human operator functional state using a novel differential volution optimization based adaptive fuzzy model

Xingyu Wang, Jianhua Zhang, Yu Zhang, 2011 .

Physiological Feature Based Emotion Recognition via an Ensemble Deep Autoencoder with Parsimonious Structure

Jianhua Zhang, Zhong Yin, Yongxiong Wang, 2017 .

Design of an Adaptive Human-Machine System Based on Dynamical Pattern Recognition of Cognitive Task-Load

Rubin Wang, Zhong Yin, Jianhua Zhang, 2017, Front. Neurosci..

EMG Signals based Human Action Recognition via Deep Belief Networks

Chen Ling, Jianhua Zhang, Sunan Li, 2019, IFAC-PapersOnLine.

Guest editorial for special issue on modeling and analysis of human–machine systems in transportation

Tamsyn Edwards, Jianhua Zhang, Jianhua Zhang, 2017, Cognition, Technology & Work.

Modeling of Adaptive Human–Machine Systems Based on Fuzzy Inference Petri Nets

Jianhua Zhang, Rubin Wang, Jiajun Xia, 2016 .

Cross-subject recognition of operator functional states via EEG and switching deep belief networks with adaptive weights

Zhong Yin, Jianhua Zhang, Jianhua Zhang, 2017, Neurocomputing.

Performance Comparison of Machine Learning Algorithms for EEG-Signal-Based Emotion Recognition

Peng Chen, Jianhua Zhang, Jianhua Zhang, 2017, ICANN.

Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework

Jianhua Zhang, Zhong Yin, Mengyuan Zhao, 2019, Neurocomputing.

Recognition of Mental Workload Levels Under Complex Human–Machine Collaboration by Using Physiological Features and Adaptive Support Vector Machines

Rubin Wang, Zhong Yin, Jianhua Zhang, 2015, IEEE Transactions on Human-Machine Systems.

Cross-Subject emotion recognition from EEG using Convolutional Neural Networks

Jianhua Zhang, Xiaolong Zhong, Zhong Yin, 2020, 2020 39th Chinese Control Conference (CCC).

Application of differential evolution optimization based Gaussian Mixture Models to speaker recognition

Jianhua Zhang, Hong Zhou, 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).

Recognition of cognitive load with a stacking network ensemble of denoising autoencoders and abstracted neurophysiological features

Zhong Yin, Jianhua Zhang, Zixuan Cao, 2020, Cognitive Neurodynamics.

Identification of mental fatigue in language comprehension tasks based on EEG and deep learning pdf

Zhong Yin, Zhenqi Sun, Yixing Zhang, 2021, ArXiv.

An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction

Jianhua Zhang, Yilin Dong, Jianhua Zhang, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Neural networks and AdaBoost algorithm based ensemble models for enhanced forecasting of nonlinear time series

Jonathan M. Garibaldi, Jianhua Zhang, Yilin Dong, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).