| 2026 | AAAI | Investigating Data Pruning for Pretraining Biological Foundation Models at Scale. | Yifan Wu, Jiyue Jiang, Xichen Ye, Yiqi Wang, Chang Zhou, Yitao Xu, Jiayang Chen, He Hu, Weizhong Zhang, Cheng Jin, Jiao Yuan, Yu Li |
| 2026 | AAAI | When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF. | Yifan Xu, Xichen Ye, Yifan Chen, Qiaosheng Zhang |
| 2025 | AAAI | Optimized Gradient Clipping for Noisy Label Learning. | Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin |
| 2025 | ICML | Towards Robust Influence Functions with Flat Validation Minima. | Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen |
| 2025 | ISIT | Embedding Empirical Distributions for Computing Optimal Transport Maps. | Mingchen Jiang, Peng Xu, Xichen Ye, Yun Yang, Yifan Chen |
| 2024 | CVPR | DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation. | Yuanchen Wu, Xichen Ye, Kequan Yang, Jide Li, Xiaoqiang Li |
| 2023 | AAAI | GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting. | Songmin Dai, Xiaoqiang Li, Yue Zhou, Xichen Ye, Tong Liu |