Consistent constraint-based video-level learning for action recognition. - Qinghongya Shi; Hongbo Zhang 002; Hao-Tian Ren; Ji-Xiang Du; Qing Lei (EURASIP J. Image Video Process., 2020)

DiffNet: Discriminative Feature Fusion Network of Multisurface Skeleton Project Images for Action Recognition. - Hao-Tian Ren; Hongbo Zhang 002; Qinghongya Shi; Qing Lei; Jixiang Du (ICMLC, 2021)

Learning and fusing multiple hidden substages for action quality assessment. - Li-Jia Dong; Hongbo Zhang 002; Qinghongya Shi; Qing Lei; Ji-Xiang Du; Shangce Gao (Knowl. Based Syst., 2021)

Shuffle-invariant Network for Action Recognition in Videos. - Qinghongya Shi; Hongbo Zhang 002; Zhe Li; Ji-Xiang Du; Qing Lei; Jing-Hua Liu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Learnable Hierarchical Label Embedding and Grouping for Visual Intention Understanding. - Qinghongya Shi; Mang Ye; Ziyi Zhang 001; Bo Du 001 (IEEE Trans. Affect. Comput., 2023)

Cross-Modality Pyramid Alignment for Visual Intention Understanding. - Mang Ye; Qinghongya Shi; Kehua Su; Bo Du 001 (IEEE Trans. Image Process., 2023)

Label-Aware Calibration and Relation-Preserving in Visual Intention Understanding. - Qinghongya Shi; Mang Ye; Wenke Huang; Weijian Ruan; Bo Du 001 (IEEE Trans. Image Process., 2024)

Uncertain Multimodal Intention and Emotion Understanding in the Wild. - Qu Yang; Qinghongya Shi; Tongxin Wang; Mang Ye (CVPR, 2025)