Xiaowei Zhang
Orcid: 0000-0001-8562-416XAffiliations:
- Lanzhou University, School of Information Science and Engineering, China
According to our database1,
Xiaowei Zhang
authored at least 42 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Dual-Path TokenLearner for Remote Photoplethysmography-Based Physiological Measurement With Facial Videos.
IEEE Trans. Comput. Soc. Syst., June, 2024
Emotion Recognition From Multimodal Physiological Signals via Discriminative Correlation Fusion With a Temporal Alignment Mechanism.
IEEE Trans. Cybern., May, 2024
Discriminative Joint Knowledge Transfer With Online Updating Mechanism for EEG-Based Emotion Recognition.
IEEE Trans. Comput. Soc. Syst., April, 2024
Dynamic Alignment and Fusion of Multimodal Physiological Patterns for Stress Recognition.
IEEE Trans. Affect. Comput., 2024
2023
STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition.
Health Inf. Sci. Syst., December, 2023
Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss.
IEEE J. Biomed. Health Informatics, July, 2023
IEEE Trans. Comput. Soc. Syst., February, 2023
MTLFuseNet: A novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning.
Knowl. Based Syst., 2023
STLDA: A Spatiotemporal Linear Discriminant Analysis for Single-trial ERP-based Depression Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Fusing of Electroencephalogram and Eye Movement With Group Sparse Canonical Correlation Analysis for Anxiety Detection.
IEEE Trans. Affect. Comput., 2022
An Improved Empirical Mode Decomposition of Electroencephalogram Signals for Depression Detection.
IEEE Trans. Affect. Comput., 2022
A personality-guided affective brain - computer interface for implementation of emotional intelligence in machines.
Frontiers Inf. Technol. Electron. Eng., 2022
A novel ensemble learning method using multiple objective particle swarm optimization for subject-independent EEG-based emotion recognition.
Comput. Biol. Medicine, 2022
2021
An Optimal Channel Selection for EEG-Based Depression Detection via Kernel-Target Alignment.
IEEE J. Biomed. Health Informatics, 2021
Fatigue Detection With Covariance Manifolds of Electroencephalography in Transportation Industry.
IEEE Trans. Ind. Informatics, 2021
Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of Kernel Machine.
IEEE Trans. Cybern., 2021
Donald J. Trump's Presidency in Cyberspace: A Case Study of Social Perception and Social Influence in Digital Oligarchy Era.
IEEE Trans. Comput. Soc. Syst., 2021
Fatigue Detection with Spatial-Temporal Fusion Method on Covariance Manifolds of Electroencephalography.
Entropy, 2021
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
2020
EEG-based Depression Detection Using Convolutional Neural Network with Demographic Attention Mechanism.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Anxiety Detection with Nonlinear Group Correlation Fusion of Electroencephalogram and Eye Movement.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Spatial-temporal Joint optimization Network on Covariance Manifolds of Electroencephalography for Fatigue Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Multimodal Depression Detection: Fusion of Electroencephalography and Paralinguistic Behaviors Using a Novel Strategy for Classifier Ensemble.
IEEE J. Biomed. Health Informatics, 2019
Proceedings of the Human Centered Computing - 5th International Conference, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Depression Detection from Electroencephalogram Signals Induced by Affective Auditory Stimuli.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019
2018
Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Emotion Recognition Based on Electroencephalogram Using a Multiple Instance Learning Framework.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
Proceedings of the Brain Informatics - International Conference, 2017
Normalized mutual information feature selection for electroencephalogram data based on grassberger entropy estimator.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Proceedings of the Wisdom Web of Things, 2016
2015
Electroencephalogram-based emotion assessment system using ontology and data mining techniques.
Appl. Soft Comput., 2015
Bayesian classification with local probabilistic model assumption in aiding medical diagnosis.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Feature selection of high-dimensional biomedical data using improved SFLA for disease diagnosis.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Comput. Methods Programs Biomed., 2014
EmotionO+: Physiological signals knowledge representation and emotion reasoning model for mental health monitoring.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
World Wide Web, 2013
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
Proceedings of the Pervasive Computing and the Networked World, 2012
2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011