Xichen Ye

According to our database, Xichen Ye authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Label-wise reliability-aware classifier for robust chest X-ray multi-label classification.

Wenkai Ye, Xichen Ye, Hang Yao, Kequan Yang, Xiaoqiang Li

Expert Syst. Appl., 2026

When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF.

Yifan Xu, Xichen Ye, Yifan Chen, Qiaosheng Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Embedding Empirical Distributions for Computing Optimal Transport Maps.

Mingchen Jiang, Peng Xu, Xichen Ye, Xiaohui Chen, Yun Yang, Yifan Chen

CoRR, April, 2025

ProxyMatting: Transformer-based image matting via region proxy.

Jide Li, Kequan Yang, Yuanchen Wu, Xichen Ye, Hanqi Yang, Xiaoqiang Li

Knowl. Based Syst., 2025

Mutual learning with discrepancy for weakly supervised object detection.

Kequan Yang, Xichen Ye, Yuanchen Wu, Jide Li, Xiaoqiang Li, Pinpin Zhu

Expert Syst. Appl., 2025

Embedding Empirical Distributions for Computing Optimal Transport Maps.

Mingchen Jiang, Peng Xu, Xichen Ye, Yun Yang, Yifan Chen

Proceedings of the IEEE International Symposium on Information Theory, 2025

Towards Robust Influence Functions with Flat Validation Minima.

Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Optimized Gradient Clipping for Noisy Label Learning.

Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Scale and spatial awareness-based prohibited item detection in X-ray image.

Shengyu Wang, Kequan Yang, Xichen Ye, Yifan Wu, Gang Liu, Xiaoqiang Li

J. Electronic Imaging, 2024

Revisiting Energy-Based Model for Out-of-Distribution Detection.

Yifan Wu, Xichen Ye, Songmin Dai, Dengye Pan, Xiaoqiang Li, Weizhong Zhang, Yifan Chen

CoRR, 2024

Active Negative Loss: A Robust Framework for Learning with Noisy Labels.

Xichen Ye, Yifan Wu, Yiwen Xu, Xiaoqiang Li, Weizhong Zhang, Yifan Chen

CoRR, 2024

DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation.

Yuanchen Wu, Xichen Ye, Kequan Yang, Jide Li, Xiaoqiang Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Active Negative Loss Functions for Learning with Noisy Labels.

Xichen Ye, Xiaoqiang Li, Songmin Dai, Tong Liu, Yan Sun, Weiqin Tong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting.

Songmin Dai, Xiaoqiang Li, Yue Zhou, Xichen Ye, Tong Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023