| Conditional adversarial domain adaptation M Long, Z Cao, J Wang, MI Jordan Advances in neural information processing systems 31, 2018 | 2440 | 2018 |
| Multi-adversarial domain adaptation Z Pei, Z Cao, M Long, J Wang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 895 | 2018 |
| Hashnet: Deep learning to hash by continuation Z Cao, M Long, J Wang, PS Yu Proceedings of the IEEE international conference on computer vision, 5608-5617, 2017 | 774 | 2017 |
| Transferable representation learning with deep adaptation networks M Long, Y Cao, Z Cao, J Wang, MI Jordan IEEE transactions on pattern analysis and machine intelligence 41 (12), 3071 …, 2018 | 548 | 2018 |
| Universal domain adaptation K You, M Long, Z Cao, J Wang, MI Jordan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 527 | 2019 |
| Partial adversarial domain adaptation Z Cao, L Ma, M Long, J Wang Proceedings of the European conference on computer vision (ECCV), 135-150, 2018 | 511 | 2018 |
| Partial transfer learning with selective adversarial networks Z Cao, M Long, J Wang, MI Jordan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 496 | 2018 |
| Learning multiple tasks with multilinear relationship networks M Long, Z Cao, J Wang, PS Yu Advances in neural information processing systems 30, 2017 | 341 | 2017 |
| Learning to transfer examples for partial domain adaptation Z Cao, K You, M Long, J Wang, Q Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 337 | 2019 |
| Separate to adapt: Open set domain adaptation via progressive separation H Liu, Z Cao, M Long, J Wang, Q Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 324 | 2019 |
| Few-shot video classification via temporal alignment K Cao, J Ji, Z Cao, CY Chang, JC Niebles Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 248 | 2020 |
| Learning to detect open classes for universal domain adaptation B Fu, Z Cao, M Long, J Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 165 | 2020 |
| Robust learning through cross-task consistency AR Zamir, A Sax, N Cheerla, R Suri, Z Cao, J Malik, LJ Guibas Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 164 | 2020 |
| Spatiotemporal relationship reasoning for pedestrian intent prediction B Liu, E Adeli, Z Cao, KH Lee, A Shenoi, A Gaidon, JC Niebles IEEE Robotics and Automation Letters 5 (2), 3485-3492, 2020 | 158 | 2020 |
| Open domain generalization with domain-augmented meta-learning Y Shu, Z Cao, C Wang, J Wang, M Long Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 137 | 2021 |
| Transferable curriculum for weakly-supervised domain adaptation Y Shu, Z Cao, M Long, J Wang Proceedings of the AAAI conference on artificial intelligence 33 (01), 4951-4958, 2019 | 110 | 2019 |
| Adversarial cross-domain action recognition with co-attention B Pan, Z Cao, E Adeli, JC Niebles Proceedings of the AAAI conference on artificial intelligence 34 (07), 11815 …, 2020 | 108 | 2020 |
| 3d object classification via spherical projections Z Cao, Q Huang, R Karthik 2017 international conference on 3D Vision (3DV), 566-574, 2017 | 86 | 2017 |
| Transferable query selection for active domain adaptation B Fu, Z Cao, J Wang, M Long Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 79 | 2021 |
| Reinforcement learning based control of imitative policies for near-accident driving Z Cao, E Bıyık, WZ Wang, A Raventos, A Gaidon, G Rosman, D Sadigh arXiv preprint arXiv:2007.00178, 2020 | 65 | 2020 |
Mingsheng LongAssociate Professor, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
