Detection of depression in speech. - Zhenyu Liu 006; Bin Hu 001; Lihua Yan; Tianyang Wang; Fei Liu 037; Xiaoyu Li; Huanyu Kang (ACII, 2015)

Feature selection and classification of speech under long-term stress. - Bin Hu 001; Zhenyu Liu 006; Lihua Yan; Tianyang Wang; Fei Liu 037; Xiaoyu Li; Huanyu Kang (BIBM, 2015)

Assessing stress levels via speech using three reading patterns. - Zhenyu Liu 006; Lihua Yan; Tianyang Wang; Bin Hu 001; Fei Liu 037 (BIBM, 2016)

Evaluation of Depression Severity in Speech. - Zhenyu Liu 006; Bin Hu 001; Fei Liu 037; Huanyu Kang; Xiaoyu Li; Lihua Yan; Tianyang Wang (BIH, 2016)

Speech pause time: A potential biomarker for depression detection. - Zhenyu Liu 006; Huanyu Kang; Lei Feng 005; Lan Zhang (BIBM, 2017)

Ensemble-based depression detection in speech. - Zhenyu Liu 006; Changcong Li; Xiang Gao; Gang Wang; Jing Yang (BIBM, 2017)

Detecting depression in speech: Comparison and combination between different speech types. - Hailiang Long; Zhenghao Guo; Xia Wu 001; Bin Hu 001; Zhenyu Liu 006; Hanshu Cai (BIBM, 2017)

Detecting Depression in Speech Under Different Speaking Styles and Emotional Valences. - Zhenyu Liu 006; Bin Hu 001; Xiaoyu Li; Fei Liu 037; Gang Wang; Jing Yang (BI, 2017)

Investigation of different speech types and emotions for detecting depression using different classifiers. - Haihua Jiang; Bin Hu 001; Zhenyu Liu 006; Lihua Yan; Tianyang Wang; Fei Liu 037; Huanyu Kang; Xiaoyu Li (Speech Commun., 2017)

A novel study for MDD detection through task-elicited facial cues. - Jinlong Li; Zhenyu Liu 006; Zhijie Ding; Gangping Wang (BIBM, 2018)

Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features. - Haihua Jiang; Bin Hu 001; Zhenyu Liu 006; Gang Wang; Lan Zhang; Xiaoyu Li; Huanyu Kang (Comput. Math. Methods Medicine, 2018)

Deep Neural Networks for Depression Recognition Based on Facial Expressions Caused by Stimulus Tasks. - Weitong Guo; Hongwu Yang; Zhenyu Liu 006 (ACII Workshops, 2019)

Time-frequency Analysis Based on Hilbert-Huang Transform for Depression Recognition in Speech. - Zhenyu Liu 006; Yaping Xu; ZhiJie Ding; Qiongqiong Chen (BIBM, 2020)

A Novel Bimodal Fusion-based Model for Depression Recognition. - Zhenyu Liu 006; Dongyu Wang; ZhiJie Ding; Qiongqiong Chen (HealthCom, 2020)

A Behaviour Patterns Extraction Method for Recognizing Generalized Anxiety Disorder. - Minqiang Yang; Jingsheng Tang; Yushan Wu; Zhenyu Liu 006; Xiping Hu; Bin Hu 001 (HealthCom, 2020)

MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis. - Hanshu Cai; Yiwen Gao 006; Shuting Sun; Na Li; Fuze Tian; Han Xiao; Jianxiu Li; Zhengwu Yang; Xiaowei Li 005; Qinglin Zhao; Zhenyu Liu 006; Zhijun Yao; et al. (CoRR, 2020)

A Novel Decision Tree for Depression Recognition in Speech. - Zhenyu Liu 006; Dongyu Wang; Lan Zhang; Bin Hu 001 (CoRR, 2020)

Undisturbed Mental State Assessment in the 5G Era: A Case Study of Depression Detection Based on Facial Expressions. - Minqiang Yang; Yu Ma; Zhenyu Liu 006; Hanshu Cai; Xiping Hu; Bin Hu 001 (IEEE Wirel. Commun., 2021)

2-level hierarchical depression recognition method based on task-stimulated and integrated speech features. - Yujuan Xing; Zhenyu Liu 006; Gang Li; ZhiJie Ding; Bin Hu 001 (Biomed. Signal Process. Control., 2022)

Event-Based Bias Correction of the GPM IMERG V06 Product by Random Forest Method over Mainland China. - Zhenyu Liu 006; Haowen Hou; Lanhui Zhang; Bin Hu 001 (Remote. Sens., 2022)

A Visually Interpretable Convolutional-Transformer Model for Assessing Depression from Facial Images. - Yutong Li 007; Zhenyu Liu 006; Gang Li; Qiongqiong Chen; Zhijie Ding; Xiping Hu; Bin Hu 001 (ICME, 2023)

JAMFN: Joint Attention Multi-Scale Fusion Network for Depression Detection. - Li Zhou 002; Zhenyu Liu 006; Zixuan Shangguan; Xiaoyan Yuan; Yutong Li 007; Bin Hu 001 (INTERSPEECH, 2023)

An Automatic Depression Detection Method with Cross-Modal Fusion Network and Multi-head Attention Mechanism. - Yutong Li 007; Juan Wang; Zhenyu Liu 006; Li Zhou 002; Haibo Zhang; Cheng Tang; Xiping Hu; Bin Hu 001 (PRCV (5), 2023)

CAIINET: Neural network based on contextual attention and information interaction mechanism for depression detection. - Li Zhou 002; Zhenyu Liu 006; Xiaoyan Yuan; Zixuan Shangguan; Yutong Li 007; Bin Hu 001 (Digit. Signal Process., 2023)

A radius-incorporated localized multiple kernel learning algorithm for detecting depression in speech. - Haihua Jiang; Bin Hu 001; Zhenyu Liu 006; Gang Wang; Lan Zhang (Int. J. Speech Technol., 2023)

PRA-Net: Part-and-Relation Attention Network for depression recognition from facial expression. - Zhenyu Liu 006; Xiaoyan Yuan; Yutong Li 007; Zixuan Shangguan; Li Zhou 002; Bin Hu 001 (Comput. Biol. Medicine, 2023)

Depression recognition base on acoustic speech model of Multi-task emotional stimulus. - Yujuan Xing; Zhenyu Liu 006; Qiongqiong Chen; Gang Li; Zhijie Ding; Lei Feng 005; Bin Hu 001 (Biomed. Signal Process. Control., 2023)

Combining Informative Regions and Clips for Detecting Depression from Facial Expressions. - Xiaoyan Yuan; Zhenyu Liu 006; Qiongqiong Chen; Gang Li; Zhijie Ding; Zixuan Shangguan; Bin Hu 001 (Cogn. Comput., 2023)

PIE: A Personalized Information Embedded model for text-based depression detection. - Yang Wu; Zhenyu Liu 006; Jiaqian Yuan; Bailin Chen; Hanshu Cai; Lin Liu; Yimiao Zhao; Huan Mei; Jiahui Deng; Yanping Bao; Bin Hu 001 (Inf. Process. Manag., 2024)

Stimulus-Response Patterns: The Key to Giving Generalizability to Text-Based Depression Detection Models. - Zhenyu Liu 006; Yang Wu; Haibo Zhang; Gang Li; Zhijie Ding; Bin Hu 001 (IEEE J. Biomed. Health Informatics, 2024)

Multi Fine-Grained Fusion Network for Depression Detection. - Li Zhou 002; Zhenyu Liu 006; Yutong Li 007; Yuchi Duan; Huimin Yu; Bin Hu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

MPDRM: A Multi-Scale Personalized Depression Recognition Model via facial movements. - Zhenyu Liu 006; Bailin Chen; Shimao Zhang; Jiaqian Yuan; Yang Wu; Hanshu Cai; Xin Chen; Lin Liu; Yimiao Zhao; Huan Mei; Jiahui Deng; Yanping Bao; et al. (Neurocomputing, 2025)

Stimulus-Response Pattern: The Core of Robust Cross-Stimulus Facial Depression Recognition. - Zhenyu Liu 006; Shimao Zhang; Bailin Chen; Gang Li; Qiongqiong Chen; Zhijie Ding; Xin Zhang 034; Bin Hu 001 (IEEE Trans. Affect. Comput., 2025)

Depression Recognition by Fuzzy Learning of Facial Movements Based on Graph Neural Networks. - Zhenyu Liu 006; Bohua Zhao; Yi Ding; Jiahang Chen; Haibo Zhang; Jiaqian Yuan; Bin Hu 001 (IEEE Trans. Fuzzy Syst., 2025)