| Towards a Theoretical Framework of Out-of-Distribution Generalization H Ye, C Xie, T Cai, R Li, Z Li, L Wang NeurlPS 2021, 2021 | 123 | 2021 |
| Boosting out-of-distribution detection with typical features Y Zhu, YF Chen, C Xie, X Li, R Zhang, H Xue, X Tian, Y Chen Advances in Neural Information Processing Systems 35, 20758-20769, 2022 | 52 | 2022 |
| Risk variance penalization C Xie, H Ye, F Chen, Y Liu, S Rui, Z Li arXiv preprint arXiv:2006.07544, 2020 | 49 | 2020 |
| A nonparametric test for covariate-adjusted models J Zhao, C Xie Statistics & Probability Letters 133, 65-70, 2018 | 44 | 2018 |
| MetaAugment: Sample-Aware Data Augmentation Policy Learning F Zhou, J Li, C Xie, F Chen, L Hong, R Sun, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11097 …, 2021 | 39 | 2021 |
| Policy diagnosis via measuring role diversity in cooperative multi-agent RL S Hu, C Xie, X Liang, X Chang International Conference on Machine Learning, 9041-9071, 2022 | 29 | 2022 |
| A goodness-of-fit test for variable-adjusted models C Xie, L Zhu Computational Statistics & Data Analysis 138, 27-48, 2019 | 26 | 2019 |
| Mixacm: Mixup-based robustness transfer via distillation of activated channel maps A Muhammad, F Zhou, C Xie, J Li, SH Bae, Z Li Advances in Neural Information Processing Systems 34, 4555-4569, 2021 | 19 | 2021 |
| Zood: Exploiting model zoo for out-of-distribution generalization Q Dong, A Muhammad, F Zhou, C Xie, T Hu, Y Yang, SH Bae, Z Li Advances in Neural Information Processing Systems 35, 31583-31598, 2022 | 17 | 2022 |
| Out-of-distribution generalization analysis via influence function H Ye, C Xie, Y Liu, Z Li arXiv preprint arXiv:2101.08521, 2021 | 15 | 2021 |
| Asymptotic normality and confidence intervals for prediction risk of the min-norm least squares estimator Z Li, C Xie, Q Wang International Conference on Machine Learning, 6533-6542, 2021 | 14* | 2021 |
| Enhancing the Power of OOD Detection via Sample-Aware Model Selection F Xue, Z He, Y Zhang, C Xie, Z Li, F Tan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10* | 2024 |
| Nasoa: Towards faster task-oriented online fine-tuning with a zoo of models H Xu, N Kang, G Zhang, C Xie, X Liang, Z Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 10 | 2021 |
| Sufficient dimension reduction with mixture multivariate skew-elliptical distributions Y Guan, C Xie, L Zhu Statistica Sinica, 335-355, 2017 | 8 | 2017 |
| Heavy-tailed regularization of weight matrices in deep neural networks X Xiao, Z Li, C Xie, F Zhou International Conference on Artificial Neural Networks, 236-247, 2023 | 5 | 2023 |
| A multi‐center international study of acupuncture for lateral elbow pain‐Results of a randomized controlled trial M Gadau, SP Zhang, FC Wang, S Liguori, WH Li, WH Liu, S Bangrazi, ... European Journal of Pain 24 (8), 1458-1470, 2020 | 4 | 2020 |
| Generalized kernel-based inverse regression methods for sufficient dimension reduction C Xie, L Zhu Computational Statistics & Data Analysis 150, 106995, 2020 | 3 | 2020 |
| Provable Contrastive Continual Learning Y Wen, Z Tan, K Zheng, C Xie, W Huang arXiv preprint arXiv:2405.18756, 2024 | 2 | 2024 |
| An adaptive-to-model test for parametric single-index errors-in-variables models HL Koul, C Xie, L Zhu Statistica Sinica 29 (3), 1511-1534, 2019 | 2 | 2019 |
| A minimum projected-distance test for parametric single-index Berkson models C Xie, L Zhu Test 27, 700-715, 2018 | 2 | 2018 |