| Recurrent spatial-temporal attention network for action recognition in videos W Du, Y Wang, Y Qiao IEEE Transactions on Image Processing 27 (3), 1347-1360, 2017 | 227 | 2017 |
| Rpan: An end-to-end recurrent pose-attention network for action recognition in videos W Du, Y Wang, Y Qiao Proceedings of the IEEE international conference on computer vision, 3725-3734, 2017 | 221 | 2017 |
| Gait phase recognition for lower-limb exoskeleton with only joint angular sensors DX Liu, X Wu, W Du, C Wang, T Xu Sensors 16 (10), 1579, 2016 | 92 | 2016 |
| Object-scene convolutional neural networks for event recognition in images L Wang, Z Wang, W Du, Y Qiao Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 81 | 2015 |
| Deep spatial-temporal model for rehabilitation gait: Optimal trajectory generation for knee joint of lower-limb exoskeleton DX Liu, X Wu, W Du, C Wang, C Chen, T Xu Assembly Automation 37 (3), 369-378, 2017 | 45 | 2017 |
| Deep rehabilitation gait learning for modeling knee joints of lower-limb exoskeleton DX Liu, W Du, X Wu, C Wang, Y Qiao 2016 IEEE international conference on robotics and biomimetics (ROBIO), 1058 …, 2016 | 41 | 2016 |
| Product image recognition with guidance learning and noisy supervision Q Li, X Peng, L Cao, W Du, H Xing, Y Qiao, Q Peng Computer Vision and Image Understanding 196, 102963, 2020 | 22 | 2020 |
| Exploring fisher vector and deep networks for action spotting Z Wang, L Wang, W Du, Y Qiao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 18 | 2015 |
| Action recognition and pose estimation method and apparatus Y Qiao, W Du, Y Wang, L Jiang, J Liu US Patent 11,478,169, 2022 | 7 | 2022 |
| Approximate Bayesian computation design for phase I clinical trials H Jin, W Du, G Yin Statistical methods in medical research 31 (12), 2310-2322, 2022 | 2 | 2022 |
| Deep Reinforcement Learning for Bandit Arm Localization W Du, H Jin, C Yu, G Yin 2022 IEEE International Conference on Big Data (Big Data), 5243-5252, 2022 | | 2022 |
| Text classification with pixel embedding B Liu, G Yin, W Du arXiv preprint arXiv:1911.04115, 2019 | | 2019 |
| Supporting information for “Approximate Bayesian Computation Design for Phase I Clinical Trials” H Jin, W Du, G Yin | | |
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CASVerified email at siat.ac.cn
