| Multi-agent tensor fusion for contextual trajectory prediction T Zhao, Y Xu, M Monfort, W Choi, C Baker, Y Zhao, Y Wang, YN Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 469 | 2019 |
| Generative pointnet: Deep energy-based learning on unordered point sets for 3d generation, reconstruction and classification J Xie, Y Xu, Z Zheng, SC Zhu, YN Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 73 | 2021 |
| Energy-based continuous inverse optimal control Y Xu, J Xie, T Zhao, C Baker, Y Zhao, YN Wu arXiv preprint arXiv:1904.05453, 2019 | 38* | 2019 |
| Interactive image search for clothing recommendation Z Zhou, Y Xu, J Zhou, L Zhang Proceedings of the 24th ACM international conference on Multimedia, 754-756, 2016 | 13 | 2016 |
| SAS: Self-Augmentation Strategy for Language Model Pre-training Y Xu, J Zhang, R He, L Ge, C Yang, C Yang, YN Wu Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11586 …, 2022 | 3 | 2022 |
| Generative hierarchical learning of sparse FRAME models J Xie, Y Xu, E Nijkamp, Y Nian Wu, SC Zhu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 2 | 2017 |
| Deep Energy-Based Generative Modeling and Learning Y Xu University of California, Los Angeles, 2022 | | 2022 |
| Generative Model on Inverse Reinforcement Learning Y Xu | | |
| Continuous Inverse Optimal Control by Energy-based Model Y Xu | | |
Ying Nian WuUCLA Department of Statistics在 stat.ucla.edu 的电子邮件经过验证
