Jianhai Zhang

Orcid: 0000-0002-5992-0405

According to our database1, Jianhai Zhang authored at least 86 papers between 2007 and 2024.

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Bibliography

2024
Instance-representation transfer method based on joint distribution and deep adaptation for EEG emotion recognition.
Medical Biol. Eng. Comput., February, 2024

Robust Diffusion Models for Adversarial Purification.
CoRR, 2024

Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization.
CoRR, 2024

2023
SPD matrices representing artery anatomy for first-pass effect prediction by aggregated networks with multi-scale attentions.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

ULFAC-Net: Ultra-Lightweight Fully Asymmetric Convolutional Network for Skin Lesion Segmentation.
IEEE J. Biomed. Health Informatics, June, 2023

Multi-Source geometric metric transfer learning for EEG classification.
Biomed. Signal Process. Control., March, 2023

Domain Adaptive Algorithm Based on Multi-Manifold Embedded Distributed Alignment for Brain-Computer Interfaces.
IEEE J. Biomed. Health Informatics, 2023

Tree-Based Mix-Order Polynomial Fusion Network for Multimodal Sentiment Analysis.
Syst., 2023

Weighted extreme learning machine for P300 detection with application to brain computer interface.
J. Ambient Intell. Humaniz. Comput., 2023

Multi-Subdomain Adversarial Network for Cross-Subject EEG-based Emotion Recognition.
CoRR, 2023

Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT.
CoRR, 2023

ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human.
CoRR, 2023

An improved feature extraction method using low-rank representation for motor imagery classification.
Biomed. Signal Process. Control., 2023

Similarity constraint style transfer mapping for emotion recognition.
Biomed. Signal Process. Control., 2023

2022
Dual-Branch Discrimination Network Using Multiple Sparse Priors for Image Deblurring.
Sensors, 2022

A new patterns of self-organization activity of brain: Neural energy coding.
Inf. Sci., 2022

Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coupling for Human EEG After Stroke.
Frontiers Comput. Neurosci., 2022

Odor pattern recognition of a novel bio-inspired olfactory neural network based on kernel clustering.
Commun. Nonlinear Sci. Numer. Simul., 2022

A new feature selection approach for driving fatigue EEG detection with a modified machine learning algorithm.
Comput. Biol. Medicine, 2022

Multisource Wasserstein Adaptation Coding Network for EEG emotion recognition.
Biomed. Signal Process. Control., 2022

MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Adaptive semantic attribute decoupling for precise face image editing.
Vis. Comput., 2021

Bayesian Covariance Representation with Global Informative Prior for 3D Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Adoption value of deep learning and serological indicators in the screening of atrophic gastritis based on artificial intelligence.
J. Supercomput., 2021

EEG-Based Sleep Staging Analysis with Functional Connectivity.
Sensors, 2021

Ventral & Dorsal Stream Theory based Zero-Shot Action Recognition.
Pattern Recognit., 2021

EEG Signal Classification Using Manifold Learning and Matrix-Variate Gaussian Model.
Comput. Intell. Neurosci., 2021

Disentangling style on dynamic aligned poses for individual identification.
Ad Hoc Networks, 2021

Automatic Label Welding Robot System for Bundled Rebars.
IEEE Access, 2021

Speaker recognition with voice evoked EEG.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
An Image Cues Coding Approach for 3D Human Pose Estimation.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Cross-covariance matrix: Time-shifted correlations for 3D action recognition.
Signal Process., 2020

Joint low-rank representation and spectral regression for robust subspace learning.
Knowl. Based Syst., 2020

Spatio-temporal metric learning for individual recognition from locomotion.
J. Vis. Commun. Image Represent., 2020

Low rank spectral regression via matrix factorization for efficient subspace learning.
J. Intell. Fuzzy Syst., 2020

Single Shot Reversible GAN for BCG artifact removal in simultaneous EEG-fMRI.
CoRR, 2020

A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification.
Appl. Soft Comput., 2020

EEG-based approach for recognizing human social emotion perception.
Adv. Eng. Informatics, 2020

Big Data Analysis of Beijing Urban Rail Transit Fares Based on Passenger Flow.
IEEE Access, 2020

Emotion Recognition Using Multi-core Tensor Learning and Multimodal Physiological Signal.
Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

Ballistocardiogram Artifact Removal for Concurrent EEG-fMRI Recordings Using Blind Source Separation Based on Dictionary Learning.
Proceedings of the Intelligent Information Processing X, 2020

Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features.
Sensors, 2019

Riemannian Spatio-Temporal Features of Locomotion for Individual Recognition.
Sensors, 2019

Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Discriminative Saliency-pose-attention Covariance for Action Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

Joint Structured Graph Learning and Clustering Based on Concept Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2019

UAV-Based Motion Target Detection and Tracking Method in Dynamic Scenes.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Accurate Object Recognition for Unmanned Aerial Vehicle Electric Power Inspection using an Improved YOLOv2 Algorithm.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Idle-State Detection in Multi-user Motor Imagery Brain Computer Interface with Cross-Brain CSP and Hyper-Brain-Network.
Proceedings of the 2019 International Conference on Cyberworlds, 2019

sEMG-based lip shapes recognition.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

Gender recognition in emotion perception using EEG features.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A CNN-based Approach for three-class classification of motor imagery EEG data including 'rest state' in hybrid multi-user BCI.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Simple and Effective Text Matching with Richer Alignment Features.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Sequential Articulated Motion Reconstruction from a Monocular Image Sequence.
ACM Trans. Multim. Comput. Commun. Appl., 2018

The Dynamic EEG Microstates in Mental Rotation.
Sensors, 2018

Brain Function Networks Reveal Movement-related EEG Potentials Associated with Exercise-induced Fatigue.
Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018

Emotional-state brain network analysis revealed by minimum spanning tree using EEG signals.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A multiple distributed representation method based on neural network for biomedical event extraction.
BMC Medical Informatics Decis. Mak., 2017

Identify Non-fatigue State to Fatigue State Using Causality Measure During Game Play.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Brain Effective Connectivity Analysis from EEG for Positive and Negative Emotion.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Recognition of Voluntary Blink and Bite Base on Single Forehead EMG.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Causality Analysis Between Soil of Different Depth Moisture and Precipitation in the United States.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Application of Data Augmentation Methods to Unmanned Aerial Vehicle Monitoring System for Facial Camouflage Recognition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Dow Jones Index is Driven Periodically by the Unemployment Rate During Economic Crisis and Non-economic Crisis Periods.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery.
IEEE Trans. Neural Networks Learn. Syst., 2016

Shortcomings/Limitations of Blockwise Granger Causality and Advances of Blockwise New Causality.
IEEE Trans. Neural Networks Learn. Syst., 2016

ReliefF-Based EEG Sensor Selection Methods for Emotion Recognition.
Sensors, 2016

PNN for EEG-based Emotion Recognition.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

DUTIR in BioNLP-ST 2016: Utilizing Convolutional Network and Distributed Representation to Extract Complicate Relations.
Proceedings of the 4th BioNLP Shared Task Workshop, BioNLP 2016, 2016

Biomedical event extraction based on distributed representation and deep learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
A System of Driving Fatigue Detection Based on Machine Vision and Its Application on Smart Device.
J. Sensors, 2015

Blockwise Granger causality and blockwise new causality.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

Biomedical event trigger detection by dependency-based word embedding.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Causality from Cz to C3/C4 or between C3 and C4 revealed by granger causality and new causality during motor imagery.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Automatic and Direct Identification of Blink Components from Scalp EEG.
Sensors, 2013

Robust and smart spectral clustering from normalized cut.
Neural Comput. Appl., 2013

Motor imagery classification based on joint regression model and spectral power.
Neural Comput. Appl., 2013

Center of rotation automatic measurement for fan-beam CT system based on sinogram image features.
Neurocomputing, 2013

Non-local means theory based Perona-Malik model for image denosing.
Neurocomputing, 2013

2012
A Comparative Study of Two Reference Estimation Methods in EEG Recording.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012

2010
Robust stabilising controller synthesis for discrete-time recurrent neural networks via state feedback.
Int. J. Model. Identif. Control., 2010

Robust output feedback controller for discrete-time nonlinear systems based on standard neural network model.
Proceedings of the Third International Workshop on Advanced Computational Intelligence, 2010

2007
LMI-Based Approach for Global Asymptotic Stability Analysis of Discrete-Time Cohen-Grossberg Neural Networks.
Proceedings of the Advances in Neural Networks, 2007


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