Zhenyu Liu

According to our database, Zhenyu Liu authored at least 22 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Combining Informative Regions and Clips for Detecting Depression from Facial Expressions.

Xiaoyan Yuan, Zhenyu Liu, Qiongqiong Chen, Gang Li, Zhijie Ding, Zixuan Shangguan, Bin Hu

Cogn. Comput., November, 2023

Depression recognition base on acoustic speech model of Multi-task emotional stimulus.

Yujuan Xing, Zhenyu Liu, Qiongqiong Chen, Gang Li, Zhijie Ding, Lei Feng, Bin Hu

Biomed. Signal Process. Control., August, 2023

A radius-incorporated localized multiple kernel learning algorithm for detecting depression in speech.

Haihua Jiang, Bin Hu, Zhenyu Liu, Gang Wang, Lan Zhang

Int. J. Speech Technol., 2023

A Visually Interpretable Convolutional-Transformer Model for Assessing Depression from Facial Images.

Yutong Li, Zhenyu Liu, Gang Li, Qiongqiong Chen, Zhijie Ding, Xiping Hu, Bin Hu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Event-Based Bias Correction of the GPM IMERG V06 Product by Random Forest Method over Mainland China.

Zhenyu Liu, Haowen Hou, Lanhui Zhang, Bin Hu

Remote. Sens., 2022

2-level hierarchical depression recognition method based on task-stimulated and integrated speech features.

Yujuan Xing, Zhenyu Liu, Gang Li, ZhiJie Ding, Bin Hu

Biomed. Signal Process. Control., 2022

2021

Undisturbed Mental State Assessment in the 5G Era: A Case Study of Depression Detection Based on Facial Expressions.

Minqiang Yang, Yu Ma, Zhenyu Liu, Hanshu Cai, Xiping Hu, Bin Hu

IEEE Wirel. Commun., 2021

2020

A Behaviour Patterns Extraction Method for Recognizing Generalized Anxiety Disorder.

Minqiang Yang, Jingsheng Tang, Yushan Wu, Zhenyu Liu, Xiping Hu, Bin Hu

Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

A Novel Bimodal Fusion-based Model for Depression Recognition.

Zhenyu Liu, Dongyu Wang, ZhiJie Ding, Qiongqiong Chen

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.

Zhenyu Liu, Yaping Xu, ZhiJie Ding, Qiongqiong Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Deep Neural Networks for Depression Recognition Based on Facial Expressions Caused by Stimulus Tasks.

Weitong Guo, Hongwu Yang, Zhenyu Liu

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

2018

Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features.

Haihua Jiang, Bin Hu, Zhenyu Liu, Gang Wang, Lan Zhang, Xiaoyu Li, Huanyu Kang

Comput. Math. Methods Medicine, 2018

A novel study for MDD detection through task-elicited facial cues.

Jinlong Li, Zhenyu Liu, Zhijie Ding, Gangping Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Investigation of different speech types and emotions for detecting depression using different classifiers.

Haihua Jiang, Bin Hu, Zhenyu Liu, Lihua Yan, Tianyang Wang, Fei Liu, Huanyu Kang, Xiaoyu Li

Speech Commun., 2017

Detecting Depression in Speech Under Different Speaking Styles and Emotional Valences.

Zhenyu Liu, Bin Hu, Xiaoyu Li, Fei Liu, Gang Wang, Jing Yang

Proceedings of the Brain Informatics - International Conference, 2017

Detecting depression in speech: Comparison and combination between different speech types.

Hailiang Long, Zhenghao Guo, Xia Wu, Bin Hu, Zhenyu Liu, Hanshu Cai

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Ensemble-based depression detection in speech.

Zhenyu Liu, Changcong Li, Xiang Gao, Gang Wang, Jing Yang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Speech pause time: A potential biomarker for depression detection.

Zhenyu Liu, Huanyu Kang, Lei Feng, Lan Zhang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Evaluation of Depression Severity in Speech.

Zhenyu Liu, Bin Hu, Fei Liu, Huanyu Kang, Xiaoyu Li, Lihua Yan, Tianyang Wang

Proceedings of the Brain Informatics and Health - International Conference, 2016

Assessing stress levels via speech using three reading patterns.

Zhenyu Liu, Lihua Yan, Tianyang Wang, Bin Hu, Fei Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Feature selection and classification of speech under long-term stress.

Bin Hu, Zhenyu Liu, Lihua Yan, Tianyang Wang, Fei Liu, Xiaoyu Li, Huanyu Kang

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Detection of depression in speech.

Zhenyu Liu, Bin Hu, Lihua Yan, Tianyang Wang, Fei Liu, Xiaoyu Li, Huanyu Kang

Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015