| A discriminative CNN video representation for event detection Z Xu, Y Yang, AG Hauptmann The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1798-1807, 2015 | 496 | 2015 |
| Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning P Pan, Z Xu, Y Yang, F Wu, Y Zhuang The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 411 | 2016 |
| Meta-gradient reinforcement learning Z Xu, HP van Hasselt, D Silver Advances in Neural Information Processing Systems, 2396-2407, 2018 | 225 | 2018 |
| Uncovering the temporal context for video question answering L Zhu, Z Xu, Y Yang, AG Hauptmann International Journal of Computer Vision 124 (3), 409-421, 2017 | 198 | 2017 |
| Bidirectional multirate reconstruction for temporal modeling in videos L Zhu, Z Xu, Y Yang The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 84 | 2017 |
| Complex event detection via multi-source video attributes Z Ma, Y Yang, Z Xu, S Yan, N Sebe, AG Hauptmann The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2627-2633, 2013 | 80 | 2013 |
| Discovery of useful questions as auxiliary tasks V Veeriah, M Hessel, Z Xu, J Rajendran, RL Lewis, J Oh, HP van Hasselt, ... Advances in Neural Information Processing Systems 32, 2019 | 62 | 2019 |
| How related exemplars help complex event detection in web videos? Y Yang, Z Ma, Z Xu, S Yan, AG Hauptmann The IEEE International Conference on Computer Vision (ICCV), 2104-2111, 2013 | 59 | 2013 |
| Few-shot object recognition from machine-labeled web images Z Xu, L Zhu, Y Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 58 | 2017 |
| Watching a small portion could be as good as watching all: Towards efficient video classification H Fan, Z Xu, L Zhu, C Yan, J Ge, Y Yang IJCAI International Joint Conference on Artificial Intelligence, 2018 | 57 | 2018 |
| Feature weighting via optimal thresholding for video analysis Z Xu, Y Yang, I Tsang, N Sebe, AG Hauptmann The IEEE International Conference on Computer Vision (ICCV), 3440-3447, 2013 | 53 | 2013 |
| Discovering reinforcement learning algorithms J Oh, M Hessel, WM Czarnecki, Z Xu, HP van Hasselt, S Singh, D Silver Advances in Neural Information Processing Systems 33, 1060-1070, 2020 | 52 | 2020 |
| Joint attributes and event analysis for multimedia event detection Z Ma, X Chang, Z Xu, N Sebe, AG Hauptmann IEEE transactions on neural networks and learning systems 29 (7), 2921-2930, 2017 | 52 | 2017 |
| Robust semi-supervised learning through label aggregation Y Yan, Z Xu, I Tsang, G Long, Y Yang Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 47 | 2016 |
| A self-tuning actor-critic algorithm T Zahavy, Z Xu, V Veeriah, M Hessel, J Oh, HP van Hasselt, D Silver, ... Advances in Neural Information Processing Systems 33, 20913-20924, 2020 | 43* | 2020 |
| What can learned intrinsic rewards capture? Z Zheng, J Oh, M Hessel, Z Xu, M Kroiss, H Van Hasselt, D Silver, S Singh International Conference on Machine Learning, 11436-11446, 2020 | 38 | 2020 |
| Informedia@TRECVID 2014 MED and MER SI Yu, L Jiang, Z Xu, Z Lan, S Xu, X Chang, X Li, Z Mao, C Gan, Y Miao, ... NIST TRECVID Video Retrieval Evaluation Workshop, 2014 | 38 | 2014 |
| Image classification with manifold learning for out-of-sample data Y Han, Z Xu, Z Ma, Z Huang Signal Processing 93 (8), 2169-2177, 2013 | 38 | 2013 |
| Eta prediction with graph neural networks in google maps A Derrow-Pinion, J She, D Wong, O Lange, T Hester, L Perez, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 36 | 2021 |
| Meta-gradient reinforcement learning with an objective discovered online Z Xu, HP van Hasselt, M Hessel, J Oh, S Singh, D Silver Advances in Neural Information Processing Systems 33, 15254-15264, 2020 | 36 | 2020 |
Yi YangZhejiang UniversityVerified email at zju.edu.cn
