| Constructing a fair classifier with generated fair data T Jang, F Zheng, X Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7908-7916, 2021 | 36 | 2021 |
| Fairness without demographics through knowledge distillation J Chai, T Jang, X Wang Advances in Neural Information Processing Systems 35, 19152-19164, 2022 | 30 | 2022 |
| Group-aware threshold adaptation for fair classification T Jang, P Shi, X Wang Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6988-6995, 2022 | 29 | 2022 |
| Adversarial Fairness Network T Jang, X Wang, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22159 …, 2024 | 11* | 2024 |
| Difficulty-based sampling for debiased contrastive representation learning T Jang, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning T Jang, H Gao, P Shi, X Wang International Conference on Artificial Intelligence and Statistics, 28-36, 2024 | | 2024 |
| FADES: Fair Disentanglement with Sensitive Relevance T Jang, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Fair Adversarial Training: on the Adversarial Attack and Defense of Fairness J Chai, T Jang, J Gao, X Wang | | |
Xiaoqian WangPurdue University在 purdue.edu 的电子邮件经过验证
Xiaoqian WangPurdue University在 purdue.edu 的电子邮件经过验证