Wanzeng Kong

Orcid: 0000-0002-0113-6968

According to our database1, Wanzeng Kong authored at least 126 papers between 2010 and 2024.

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Bibliography

2024
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment.
Health Inf. Sci. Syst., December, 2024

Semi-supervised bipartite graph construction with active EEG sample selection for emotion recognition.
Medical Biol. Eng. Comput., September, 2024

Unbiased Semantic Representation Learning Based on Causal Disentanglement for Domain Generalization.
ACM Trans. Multim. Comput. Commun. Appl., 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

Disentangled Adversarial Generalization Network for Cross-Session Task-Independent Brainprint Recognition.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Temporal-channel cascaded transformer for imagined handwriting character recognition.
Neurocomputing, March, 2024

Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection.
J. Classif., March, 2024

DMF-GAN: Deep Multimodal Fusion Generative Adversarial Networks for Text-to-Image Synthesis.
IEEE Trans. Multim., 2024

Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction.
CoRR, 2024

VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Lifelong Learning.
CoRR, 2024

A Privacy-Preserving Brainprint Recognition System Based on Feature Homomorphic Encryption.
Proceedings of the International Joint Conference on Neural Networks, 2024

Fine-grained Dual-space Context Analysis Network for Multimodal Emotion Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024

Time-Frequency Jointed Imperceptible Adversarial Attack to Brainprint Recognition with Deep Learning Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Label Rectified and Graph Adaptive Semi-Supervised Regression for Electrode Shifted Gesture Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

AEGIS-Net: Attention-Guided Multi-Level Feature Aggregation for Indoor Place Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2023

Causal Graph Convolutional Neural Network for Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., December, 2023

Brain-Machine Coupled Learning Method for Facial Emotion Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition.
J. King Saud Univ. Comput. Inf. Sci., September, 2023

DM-RE2I: A framework based on diffusion model for the reconstruction from EEG to image.
Biomed. Signal Process. Control., September, 2023

Two-Dimensional Embedded Fuzzy Data Clustering.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

A bidirectional interaction-based hybrid network architecture for EEG cognitive recognition.
Comput. Methods Programs Biomed., August, 2023

Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition.
IEEE Trans. Ind. Informatics, July, 2023

EEG-based emotion recognition with cascaded convolutional recurrent neural networks.
Pattern Anal. Appl., May, 2023

Quantification of body ownership awareness induced by the visual movement illusion of the lower limbs: a study of electroencephalogram and surface electromyography.
Medical Biol. Eng. Comput., May, 2023

BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis.
IEEE Trans. Circuits Syst. Video Technol., April, 2023

Fusion Graph Representation of EEG for Emotion Recognition.
Sensors, February, 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

Effect of music stimuli on corticomuscular coupling and the brain functional connectivity network.
Biomed. Signal Process. Control., 2023

Aspect-Category Enhanced Learning with a Neural Coherence Model for Implicit Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
A semi-supervised label distribution learning model with label correlations and data manifold exploration.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

Analysis of Functional Corticomuscular Coupling Based on Multiscale Transfer Spectral Entropy.
IEEE J. Biomed. Health Informatics, 2022

An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection.
IEEE Trans. Instrum. Meas., 2022

Siam-GCAN: A Siamese Graph Convolutional Attention Network for EEG Emotion Recognition.
IEEE Trans. Instrum. Meas., 2022

S<sup>3</sup>LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition.
IEEE Trans. Instrum. Meas., 2022

Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., 2022

Dynamic Distribution Alignment With Dual-Subspace Mapping for Cross-Subject Driver Mental State Detection.
IEEE Trans. Cogn. Dev. Syst., 2022

Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals.
IEEE Trans. Affect. Comput., 2022

Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG.
Syst., 2022

Adaptive multi-task learning using lagrange multiplier for automatic art analysis.
Multim. Tools Appl., 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

InterMulti: Multi-view Multimodal Interactions with Text-dominated Hierarchical High-order Fusion for Emotion Analysis.
CoRR, 2022

EffMulti: Efficiently Modeling Complex Multimodal Interactions for Emotion Analysis.
CoRR, 2022

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

A deep subdomain associate adaptation network for cross-session and cross-subject EEG emotion recognition.
Biomed. Signal Process. Control., 2022

Dynamically Adjust Word Representations Using Unaligned Multimodal Information.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

MMT: Multi-way Multi-modal Transformer for Multimodal Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-source Domain Adaptation Based on Data Selector with Soft Actor-Critic.
Proceedings of the Human Brain and Artificial Intelligence - Third International Workshop, 2022

2021
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining.
IEEE Trans. Instrum. Meas., 2021

An EEG-Based Transfer Learning Method for Cross-Subject Fatigue Mental State Prediction.
Sensors, 2021

Multi-Scale Frequency Bands Ensemble Learning for EEG-Based Emotion Recognition.
Sensors, 2021

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

A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation.
PeerJ Comput. Sci., 2021

Transfer of semi-supervised broad learning system in electroencephalography signal classification.
Neural Comput. Appl., 2021

Emotion recognition based on sparse representation of phase synchronization features.
Multim. Tools Appl., 2021

Auto-weighted concept factorization for joint feature map and data representation learning.
J. Intell. Fuzzy Syst., 2021

Fuzzy graph clustering.
Inf. Sci., 2021

RAMST-CNN: A Residual and Multiscale Spatio-Temporal Convolution Neural Network for Personal Identification with EEG.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021

Sub-band target alignment common spatial pattern in brain-computer interface.
Comput. Methods Programs Biomed., 2021

Tensor-based dynamic brain functional network for motor imagery classification.
Biomed. Signal Process. Control., 2021

Epilepsy prediction through optimized multidimensional sample entropy and Bi-LSTM.
Biomed. Signal Process. Control., 2021

EEGNetT: EEG-based neural network for emotion recognition in real-world applications.
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Robust Distributed Stabilization of Heterogeneous Agents Over Cooperation-Competition Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

InstanceEasyTL: An Improved Transfer-Learning Method for EEG-Based Cross-Subject Fatigue Detection.
Sensors, 2020

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

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

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

A Review of Transfer Learning for EEG-Based Driving Fatigue Detection.
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

Coarse-to-Fine Classification with Phase Synchronization and Common Spatial Pattern for Motor Imagery-Based BCI.
Proceedings of the Intelligent Information Processing X, 2020

A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition.
Proceedings of the Neural Information Processing - 27th International Conference, 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
Large-scale trip planning for bike-sharing systems.
Pervasive Mob. Comput., 2019

Task-free brainprint recognition based on low-rank and sparse decomposition model.
Int. J. Data Min. Bioinform., 2019

A LightGBM-Based EEG Analysis Method for Driver Mental States Classification.
Comput. Intell. Neurosci., 2019

EEG Fingerprints: Phase Synchronization of EEG Signals as Biomarker for Subject Identification.
IEEE Access, 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

Visualizing Emotional States: A Method Based on Human Brain Activity.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

Joint Structured Graph Learning and Unsupervised Feature Selection.
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

Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization.
Proceedings of the IEEE International Conference on Acoustics, 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

Facial Emotion Recognition Based on Brain and Machine Collaborative Intelligence.
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

2018
The Dynamic EEG Microstates in Mental Rotation.
Sensors, 2018

Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification".
Complex., 2018

Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification.
Complex., 2018

Personal Identification Based on Brain Networks of EEG Signals.
Int. J. Appl. Math. Comput. Sci., 2018

Unsupervised Extreme Learning Machine via Structured Graph Construction for Data Clustering.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Comparison of Facial Emotion Recognition Based on Image Visual Features and EEG Features.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018

Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 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

Task-Independent EEG Identification via Low-Rank Matrix Decomposition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
Automatic Detection Technology of Sonar Image Target Based on the Three-Dimensional Imaging.
J. Sensors, 2017

Orthogonal extreme learning machine for image classification.
Neurocomputing, 2017

Assessment of driving fatigue based on intra/inter-region phase synchronization.
Neurocomputing, 2017

Identification of EEG features in stroke patients based on common spatial pattern and sparse representation classification.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Task-Free Brainprint Recognition Based on Degree of Brain Networks.
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

A New EEG Signal Processing Method Based on Low-Rank and Sparse Decomposition.
Proceedings of the Cognitive Systems and Signal Processing, 2016

2015
Investigating Driver Fatigue<i> versus</i> Alertness Using the Granger Causality Network.
Sensors, 2015

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

On the Use of Cognitive Neurometric Indexes in Aeronautic and Air Traffic Management Environments.
Proceedings of the Symbiotic Interaction - 4th International Workshop, 2015

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

An electroencephalographic Peak Density Function to detect memorization during the observation of TV commercials.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Evaluation of the workload and drowsiness during car driving by using high resolution EEG activity and neurophysiologic indices.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

2012
Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

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

2011
On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research.
Comput. Intell. Neurosci., 2011

Enhance of theta EEG spectral activity related to the memorization of commercial advertisings in Chinese and Italian subjects.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

Spectral analysis of brain function network for the classification of motor imagery tasks.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

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


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