| Ood-bench: Quantifying and understanding two dimensions of out-of-distribution generalization N Ye, K Li, H Bai, R Yu, L Hong, F Zhou, Z Li, J Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 72 | 2022 |
| Slimmable dataset condensation S Liu, J Ye, R Yu, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 42 | 2023 |
| Distribution Shift Inversion for Out-of-Distribution Prediction R Yu, S Liu, X Yang, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms R Yu, H Zhu, K Li, L Hong, R Zhang, N Ye, SL Huang, X He Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8945-8953, 2022 | 3 | 2022 |
| Generator Born from Classifier R Yu, X Wang Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Y Xia, R Yu, Y Liang, X Bresson, X Wang, R Zimmermann arXiv preprint arXiv:2401.09953, 2024 | | 2024 |
| Robust Long-Tailed Learning via Label-Aware Bounded CVaR H Zhu, R Yu, X Tang, Y Wang, Y Fang, Y Wang arXiv preprint arXiv:2308.15405, 2023 | | 2023 |
Xinchao WangNational University of SingaporePotvrđena adresa e-pošte na nus.edu.sg
