Stimulus-Response Pattern: The Core of Robust Cross-Stimulus Facial Depression Recognition.
IEEE Trans. Affect. Comput., 2025
Stimulus-Response Patterns: The Key to Giving Generalizability to Text-Based Depression Detection Models.
IEEE J. Biomed. Health Informatics, August, 2024
NeuroPpred-SHE: An interpretable neuropeptides prediction model based on selected features from hand-crafted features and embeddings of T5 model.
Comput. Biol. Medicine, 2024
Combining Informative Regions and Clips for Detecting Depression from Facial Expressions.
Cogn. Comput., November, 2023
Depression recognition base on acoustic speech model of Multi-task emotional stimulus.
Biomed. Signal Process. Control., August, 2023
A Visually Interpretable Convolutional-Transformer Model for Assessing Depression from Facial Images.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
An Improved Empirical Mode Decomposition of Electroencephalogram Signals for Depression Detection.
IEEE Trans. Affect. Comput., 2022
2-level hierarchical depression recognition method based on task-stimulated and integrated speech features.
Biomed. Signal Process. Control., 2022
An Optimal Channel Selection for EEG-Based Depression Detection via Kernel-Target Alignment.
IEEE J. Biomed. Health Informatics, 2021
Summary of MIMO System Signal Detection Algorithms Under Deep Learning.
Proceedings of the AIPR 2021: 4th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, September 24, 2021
Attention Bias in Emotional Conflict in Major Depression Disorder: An Eye Tracking Study.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
A Novel Bimodal Fusion-based Model for Depression Recognition.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
Time-frequency Analysis Based on Hilbert-Huang Transform for Depression Recognition in Speech.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Toward Depression Recognition Using EEG and Eye Tracking: An Ensemble Classification Model CBEM.
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
A Pervasive Approach to EEG-Based Depression Detection.
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Complex., 2018
Attentional bias in MDD: ERP components analysis and classification using a dot-probe task.
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Comput. Methods Programs Biomed., 2018
A novel study for MDD detection through task-elicited facial cues.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Subject-independent emotion recognition based on physiological signals: a three-stage decision method.
BMC Medical Informatics Decis. Mak., 2017
A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering.
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Complex., 2017
Predicting MCI progression with individual metabolic network based on longitudinal FDG-PET.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017