Jianhai Zhang
Orcid: 0000-0002-5992-0405
According to our database1,
Jianhai Zhang
authored at least 96 papers
between 2007 and 2025.
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Bibliography
2025
Expert Syst. Appl., 2025
2024
Automatically Extracting and Utilizing EEG Channel Importance Based on Graph Convolutional Network for Emotion Recognition.
IEEE J. Biomed. Health Informatics, August, 2024
DSFE: Decoding EEG-Based Finger Motor Imagery Using Feature-Dependent Frequency, Feature Fusion and Ensemble Learning.
IEEE J. Biomed. Health Informatics, August, 2024
Instance-representation transfer method based on joint distribution and deep adaptation for EEG emotion recognition.
Medical Biol. Eng. Comput., February, 2024
DMF-GAN: Deep Multimodal Fusion Generative Adversarial Networks for Text-to-Image Synthesis.
IEEE Trans. Multim., 2024
Visual-Guided Dual-Spatial Interaction Network for Fine-Grained Brain Semantic Decoding.
IEEE Trans. Instrum. Meas., 2024
Micro-defect Varifocal Network: Channel attention and spatial feature fusion for turbine blade surface micro-defect detection.
Eng. Appl. Artif. Intell., 2024
A coarse-to-fine adaptive spatial-temporal graph convolution network with residuals for motor imagery decoding from the same limb.
Biomed. Signal Process. Control., 2024
Identifying multilayer differential core networks and effective discriminant features for driver fatigue detection.
Biomed. Signal Process. Control., 2024
Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-Contrast CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization.
Proceedings of the Twelfth International Conference on Learning Representations, 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
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
Syst., 2023
Weighted extreme learning machine for P300 detection with application to brain computer interface.
J. Ambient Intell. Humaniz. Comput., 2023
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
Biomed. Signal Process. Control., 2023
2022
Dual-Branch Discrimination Network Using Multiple Sparse Priors for Image Deblurring.
Sensors, 2022
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
Biomed. Signal Process. Control., 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
2021
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
Pattern Recognit., 2021
Comput. Intell. Neurosci., 2021
Ad Hoc Networks, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
2020
ACM Trans. Multim. Comput. Commun. Appl., 2020
Signal Process., 2020
Knowl. Based Syst., 2020
J. Vis. Commun. Image Represent., 2020
Low rank spectral regression via matrix factorization for efficient subspace learning.
J. Intell. Fuzzy Syst., 2020
CoRR, 2020
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification.
Appl. Soft Comput., 2020
Adv. Eng. Informatics, 2020
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
Sensors, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
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
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019
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
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
ACM Trans. Multim. Comput. Commun. Appl., 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
Proceedings of the Neural Information Processing - 24th International Conference, 2017
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
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
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
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015
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
Sensors, 2013
Neural Comput. Appl., 2013
Center of rotation automatic measurement for fan-beam CT system based on sinogram image features.
Neurocomputing, 2013
Neurocomputing, 2013
2012
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