| Interventional few-shot learning Z Yue, H Zhang, Q Sun, XS Hua Advances in neural information processing systems 33, 2734-2746, 2020 | 257 | 2020 |
| Counterfactual zero-shot and open-set visual recognition Z Yue, T Wang, Q Sun, XS Hua, H Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 220 | 2021 |
| Self-supervised learning disentangled group representation as feature T Wang, Z Yue, J Huang, Q Sun, H Zhang Advances in Neural Information Processing Systems 34, 18225-18240, 2021 | 70 | 2021 |
| Transporting causal mechanisms for unsupervised domain adaptation Z Yue, Q Sun, XS Hua, H Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 69 | 2021 |
| Unbiased multiple instance learning for weakly supervised video anomaly detection H Lv, Z Yue, Q Sun, B Luo, Z Cui, H Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 60 | 2023 |
| Random boxes are open-world object detectors Y Wang, Z Yue, XS Hua, H Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| Make the u in uda matter: Invariant consistency learning for unsupervised domain adaptation Z Yue, Q Sun, H Zhang Advances in Neural Information Processing Systems 36, 26991-27004, 2023 | 8 | 2023 |
| Invariant feature regularization for fair face recognition J Ma, Z Yue, K Tomoyuki, S Tomoki, K Jayashree, S Pranata, H Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Exploring diffusion time-steps for unsupervised representation learning Z Yue, J Wang, Q Sun, L Ji, EI Chang, H Zhang arXiv preprint arXiv:2401.11430, 2024 | 4 | 2024 |
| Few-shot Learner Parameterization by Diffusion Time-steps Z Yue, P Zhou, R Hong, H Zhang, Q Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector X Liu, Z Yue, XS Hua arXiv preprint arXiv:2311.02342, 2023 | | 2023 |
| Unbiased multiple instance learning for weakly supervised video anomaly detection.(2023) H LYU, Z YUE, Q SUN, B LUO, Z CUI, H ZHANG Proceedings of the 2023 Conference on Computer Vision and Pattern …, 2023 | | 2023 |
| HUA, Xian-Sheng. Interventional few-shot learning.(2020) Z YUE, Z Hanwang, Q SUN Proceedings of the 34th Conference on Neural Information Processing Systems …, 2020 | | 2020 |
| Supplementary Material for Interventional Few-Shot Learning Z Yue, H Zhang, Q Sun, XS Hua | | |
