Learning Hierarchical Emotion Context for Continuous Dimensional Emotion Recognition From Video Sequences. - Qirong Mao; Qing Zhu 002; Qiyu Rao; Hongjie Jia; Sidian Luo (IEEE Access, 2019)

Learning to disentangle emotion factors for facial expression recognition in the wild. - Qing Zhu 002; Lijian Gao; Heping Song; Qirong Mao (Int. J. Intell. Syst., 2021)

Convolutional relation network for facial expression recognition in the wild with few-shot learning. - Qing Zhu 002; Qirong Mao; Hongjie Jia; Ocquaye Elias Nii Noi; Juanjuan Tu (Expert Syst. Appl., 2022)

Key Clues Guided Video Character Social Relationship Recognition Enhanced by LLM. - Wenlong Dong; Qing Zhu 002; Qirong Mao (ICASSP, 2025)

Joint Multi-Scale Contextual and Noise Suppression for Group Emotion Recognition. - Wangdong Guo; Qing Zhu 002; Qirong Mao (ICASSP, 2025)

Towards a Robust Group-Level Emotion Recognition via Uncertainty-Aware Learning. - Qing Zhu 002; Qirong Mao; Jialin Zhang; Xiaohua Huang; Wenming Zheng (IEEE Trans. Affect. Comput., 2025)

Dynamic prompting class distribution optimization for semi-supervised sound event detection. - Lijian Gao; Qing Zhu 002; Yaxin Shen; Qirong Mao; Yongzhao Zhan 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

Incorporating Scene Context and Semantic Labels for Enhanced Group-level Emotion Recognition. - Qing Zhu 002; Wangdong Guo; Qirong Mao; Xiaohua Huang; Xiuyan Shao; Wenming Zheng (CoRR, 2025)