Jian Shen

Orcid: 0000-0001-6099-3209

Affiliations:
  • 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 20 papers between 2017 and 2024.

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Bibliography

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

Network representation learning via improved random walk with restart.
Knowl. Based Syst., March, 2023

Explainable Stuttering Recognition Using Axial Attention.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Explainable Depression Recognition from EEG Signals via Graph Convolutional Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Fundamentals of Computational Psychophysiology: Theory and Methodology.
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

Individual Similarity Guided Transfer Modeling for EEG-based Emotion Recognition.
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
Wearable EEG-Based Real-Time System for Depression Monitoring.
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


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