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 | 194 | 2022 |
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 | 126 | 2017 |
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 | 107 | 2018 |
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 | 54 | 2021 |
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 | 45 | 2015 |
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 | 39 | 2017 |
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 | 37 | 2021 |
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 | 30 | 2023 |
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 | 26 | 2022 |
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 | 22 | 2017 |
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 | 17 | 2022 |
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 | 16 | 2017 |
A novel decision tree for depression recognition in speech Z Liu, D Wang, L Zhang, B Hu arXiv preprint arXiv:2002.12759, 2020 | 15 | 2020 |
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 | 11 | 2023 |
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 | 10 | 2021 |
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 | 10 | 2017 |
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 | 9 | 2022 |
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 | 9 | 2018 |
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 | 8 | 2023 |
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 | 7 | 2023 |