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)

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)

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)