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Zhenyu Liu
Zhenyu Liu
在 lzu.edu.cn 的电子邮件经过验证
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A multi-modal open dataset for mental-disorder analysis
H Cai, Z Yuan, Y Gao, S Sun, N Li, F Tian, H Xiao, J Li, Z Yang, X Li, ...
Scientific Data 9 (1), 178, 2022
1942022
Investigation of different speech types and emotions for detecting depression using different classifiers
H Jiang, B Hu, Z Liu, L Yan, T Wang, F Liu, H Kang, X Li
Speech Communication 90, 39-46, 2017
1262017
Detecting depression using an ensemble logistic regression model based on multiple speech features
H Jiang, B Hu, Z Liu, G Wang, L Zhang, X Li, H Kang
Computational and mathematical methods in medicine 2018 (1), 6508319, 2018
1072018
Deep neural networks for depression recognition based on 2d and 3d facial expressions under emotional stimulus tasks
W Guo, H Yang, Z Liu, Y Xu, B Hu
Frontiers in neuroscience 15, 609760, 2021
542021
Detection of depression in speech
Z Liu, B Hu, L Yan, T Wang, F Liu, X Li, H Kang
2015 international conference on affective computing and intelligent …, 2015
452015
Detecting depression in speech: Comparison and combination between different speech types
H Long, Z Guo, X Wu, B Hu, Z Liu, H Cai
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
392017
Undisturbed mental state assessment in the 5G era: a case study of depression detection based on facial expressions
M Yang, Y Ma, Z Liu, H Cai, X Hu, B Hu
IEEE Wireless Communications 28 (3), 46-53, 2021
372021
PRA-Net: Part-and-Relation Attention Network for depression recognition from facial expression
Z Liu, X Yuan, Y Li, Z Shangguan, L Zhou, B Hu
Computers in Biology and Medicine 157, 106589, 2023
302023
TAMFN: time-aware attention multimodal fusion network for depression detection
L Zhou, Z Liu, Z Shangguan, X Yuan, Y Li, B Hu
IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 669-679, 2022
262022
Speech pause time: A potential biomarker for depression detection
Z Liu, H Kang, L Feng, L Zhang
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
222017
Dual-stream multiple instance learning for depression detection with facial expression videos
Z Shangguan, Z Liu, G Li, Q Chen, Z Ding, B Hu
IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 554-563, 2022
172022
Ensemble-based depression detection in speech
Z Liu, C Li, X Gao, G Wang, J Yang
2017 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2017
162017
A novel decision tree for depression recognition in speech
Z Liu, D Wang, L Zhang, B Hu
arXiv preprint arXiv:2002.12759, 2020
152020
CAIINET: Neural network based on contextual attention and information interaction mechanism for depression detection
L Zhou, Z Liu, X Yuan, Z Shangguan, Y Li, B Hu
Digital Signal Processing 137, 103986, 2023
112023
A novel bimodal fusion-based model for depression recognition
Z Liu, D Wang, ZJ Ding, Q Chen
2020 IEEE International Conference on E-health Networking, Application …, 2021
102021
Detecting depression in speech under different speaking styles and emotional valences
Z Liu, B Hu, X Li, F Liu, G Wang, J Yang
Brain Informatics: International Conference, BI 2017, Beijing, China …, 2017
102017
2-level hierarchical depression recognition method based on task-stimulated and integrated speech features
Y Xing, Z Liu, G Li, ZJ Ding, B Hu
Biomedical Signal Processing and Control 72, 103287, 2022
92022
A novel study for MDD detection through task-elicited facial cues
J Li, Z Liu, Z Ding, G Wang
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
92018
Ensemble learning with speaker embeddings in multiple speech task stimuli for depression detection
Z Liu, H Yu, G Li, Q Chen, Z Ding, L Feng, Z Yao, B Hu
Frontiers in Neuroscience 17, 1141621, 2023
82023
What can facial movements reveal? Depression recognition and analysis based on optical flow using bayesian networks
Y Ma, J Shen, Z Zhao, H Liang, Y Tan, Z Liu, K Qian, M Yang, B Hu
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
72023
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