| Deep stable learning for out-of-distribution generalization X Zhang, P Cui, R Xu, L Zhou, Y He, Z Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 325 | 2021 |
| Nico++: Towards better benchmarking for domain generalization X Zhang, Y He, R Xu, H Yu, Z Shen, P Cui Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 92 | 2023 |
| Towards unsupervised domain generalization X Zhang, L Zhou, R Xu, P Cui, Z Shen, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 73 | 2022 |
| Algorithmic decision making with conditional fairness R Xu, P Cui, K Kuang, B Li, L Zhou, Z Shen, W Cui Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 40 | 2020 |
| Learning to select base classes for few-shot classification L Zhou, P Cui, X Jia, S Yang, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 36 | 2020 |
| Stable adversarial learning under distributional shifts J Liu, Z Shen, P Cui, L Zhou, K Kuang, B Li, Y Lin Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8662-8670, 2021 | 31 | 2021 |
| Learning to learn image classifiers with visual analogy L Zhou, P Cui, S Yang, W Zhu, Q Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 25 | 2019 |
| Distributionally robust learning with stable adversarial training J Liu, Z Shen, P Cui, L Zhou, K Kuang, B Li IEEE Transactions on Knowledge and Data Engineering 35 (11), 11288-11300, 2022 | 13 | 2022 |
| Adversarial eigen attack on black-box models L Zhou, P Cui, X Zhang, Y Jiang, S Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 12 | 2022 |
| A framework for multi-stage bonus allocation in meal delivery platform Z Wu, L Wang, F Huang, L Zhou, Y Song, C Ye, P Nie, H Ren, J Hao, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
| Learning to learn image classifiers with informative visual analogy L Zhou, P Cui, S Yang, WW Zhu, Q Tian arXiv preprint arXiv:1710.06177, 2017 | 3 | 2017 |
| Meta Adaptive Task Sampling for Few-Domain Generalization Z Shen, H Yu, P Cui, J Liu, X Zhang, L Zhou, F Liu arXiv preprint arXiv:2305.15644, 2023 | 1 | 2023 |
| Invariant Adversarial Learning for Distributional Robustness. J Liu, Z Shen, P Cui, L Zhou, K Kuang, B Li, Y Lin arXiv preprint arXiv:2006.04414, 2020 | 1 | 2020 |
| Sample Balancing for Improving Generalization under Distribution Shifts X Zhang, P Cui, R Xu, Y He, L Zhou, Z Shen | | |
Peng CuiDepartment of Computer Science, Tsinghua UniversityVahvistettu sähköpostiosoite verkkotunnuksessa tsinghua.edu.cn