Jian Shen
Orcid: 0000-0001-6099-3209Affiliations:
- Lanzhou University, Gansu Provincial Key Laboratory of Wearable Computing, China
- Lanzhou University, School of Information Science and Engineering, China
According to our database1,
Jian Shen
authored at least 22 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
HEMAsNet: A Hemisphere Asymmetry Network Inspired by the Brain for Depression Recognition From Electroencephalogram Signals.
IEEE J. Biomed. Health Informatics, September, 2024
Emotion Recognition From Multimodal Physiological Signals via Discriminative Correlation Fusion With a Temporal Alignment Mechanism.
IEEE Trans. Cybern., May, 2024
A Novel Intelligence Evaluation Framework: Exploring the Psychophysiological Patterns of Gifted Students.
IEEE Trans. Comput. Soc. Syst., April, 2024
2023
Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects.
IEEE Trans. Comput. Soc. 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
Knowl. Based Syst., March, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE Trans. Comput. Soc. Syst., 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
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
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
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 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
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