| Transformer for skeleton-based action recognition: A review of recent advances W Xin, R Liu, Y Liu, Y Chen, W Yu, Q Miao Neurocomputing 537, 164-186, 2023 | 61 | 2023 |
| Attention adjacency matrix based graph convolutional networks for skeleton-based action recognition J Xie, Q Miao, R Liu, W Xin, L Tang, S Zhong, X Gao Neurocomputing 440, 230-239, 2021 | 55 | 2021 |
| Skeleton mixformer: Multivariate topology representation for skeleton-based action recognition W Xin, Q Miao, Y Liu, R Liu, CM Pun, C Shi Proceedings of the 31st ACM International Conference on Multimedia, 2211-2220, 2023 | 28 | 2023 |
| Multi-scale attention 3D convolutional network for multimodal gesture recognition H Chen, Y Li, H Fang, W Xin, Z Lu, Q Miao Sensors 22 (6), 2405, 2022 | 20 | 2022 |
| Cross-channel graph convolutional networks for skeleton-based action recognition J Xie, W Xin, R Liu, L Sheng, X Liu, X Gao, S Zhong, L Tang, Q Miao IEEE Access 9, 9055-9065, 2021 | 10 | 2021 |
| Auto-learning-gcn: An ingenious framework for skeleton-based action recognition W Xin, Y Liu, R Liu, Q Miao, C Shi, CM Pun Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 29-42, 2023 | 6 | 2023 |
| Global co-occurrence feature and local spatial feature learning for skeleton-based action recognition J Xie, W Xin, R Liu, Q Miao, L Sheng, L Zhang, X Gao Entropy 22 (10), 1135, 2020 | 6 | 2020 |
| Is really correlation information represented well in self-attention for skeleton-based action recognition? W Xin, H Lin, R Liu, Y Liu, Q Miao 2023 IEEE International Conference on Multimedia and Expo (ICME), 780-785, 2023 | 5 | 2023 |
| Action Jitter Killer: joint noise optimization cascade for skeleton-based action recognition R Liu, Y Liu, W Xin, Q Miao, L Li IEEE Transactions on Instrumentation and Measurement, 2024 | 4 | 2024 |
| Focus on hierarchical features: Soft-weighted hierarchical features network H Lin, W Xin, S Chang, Q Yang, Q Miao, R Liu, L Chang Neurocomputing 516, 182-193, 2023 | 2 | 2023 |
| SG-CLR: Semantic representation-guided contrastive learning for self-supervised skeleton-based action recognition R Liu, Y Liu, M Wu, W Xin, Q Miao, X Liu, L Li Pattern Recognition, 111377, 2025 | 1 | 2025 |
| 面向智慧教育行为分析的图卷积骨架动作识别方法 苗启广， 辛文天， 刘如意， 谢琨， 王泉， 杨宗凯 计算机科学 49 (2), 156r161, 2022 | 1 | 2022 |
| Adaptive Pitfall: Exploring the Effectiveness of Adaptation in Skeleton-based Action Recognition Q Miao, W Xin, R Liu, Y Liu, M Wu, C Shi, CM Pun IEEE Transactions on Multimedia, 2024 | | 2024 |
| Language-Skeleton Pre-training to Collaborate with Self-Supervised Human Action Recognition Y Liu, R Liu, W Xin, Q Miao, Y Hu, J Qi Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 409-423, 2024 | | 2024 |
| A Systematic Review of Skeleton-Based Action Recognition: Recent Advances, Challenges, and Future Directions Y Liu, R Liu, Y Hu, M Wu, W Xin, Q Miao, S Wu, L Li Challenges, and Future Directions, 0 | | |
qiguang miaoprofessor of xidian university，xi'an, ChinaПідтверджена електронна адреса в mail.xidian.edu.cn