| Conditional adversarial domain adaptation M Long, Z Cao, J Wang, MI Jordan Advances in neural information processing systems 31, 2018 | 1431 | 2018 |
| Multi-adversarial domain adaptation Z Pei, Z Cao, M Long, J Wang Thirty-second AAAI conference on artificial intelligence, 2018 | 606 | 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 | 545 | 2017 |
| 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 | 360 | 2018 |
| Partial adversarial domain adaptation Z Cao, L Ma, M Long, J Wang Proceedings of the European conference on computer vision (ECCV), 135-150, 2018 | 345 | 2018 |
| 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 | 337 | 2018 |
| Learning multiple tasks with multilinear relationship networks M Long, Z Cao, J Wang, PS Yu Advances in neural information processing systems 30, 2017 | 334 | 2017 |
| 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 | 265 | 2019 |
| 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 | 215 | 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 | 171 | 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 | 131 | 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 | 89 | 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 | 81 | 2020 |
| 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 | 75 | 2020 |
| 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 | 74 | 2019 |
| 3d object classification via spherical projections Z Cao, Q Huang, R Karthik 2017 international conference on 3D Vision (3DV), 566-574, 2017 | 73 | 2017 |
| 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 | 61 | 2020 |
| Alignflow: Cycle consistent learning from multiple domains via normalizing flows A Grover, C Chute, R Shu, Z Cao, S Ermon Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4028-4035, 2020 | 45 | 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 | 41 | 2021 |
| Domain adaptation with randomized multilinear adversarial networks M Long, Z Cao, J Wang, MI Jordan arXiv preprint arXiv:1705.10667, 2017 | 35 | 2017 |
Mingsheng LongAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
