Xichen Ye - RankMe

20 papers A* 7B 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Investigating Data Pruning for Pretraining Biological Foundation Models at Scale. AAAI 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	J	`jnl`	Label-wise reliability-aware classifier for robust chest X-ray multi-label classification. Expert Syst. Appl. Wenkai Ye, Xichen Ye, Hang Yao, Kequan Yang, Xiaoqiang Li
2026	A*	`conf`	When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF. AAAI Yifan Xu, Xichen Ye, Yifan Chen, Qiaosheng Zhang
2025	B	`conf`	Embedding Empirical Distributions for Computing Optimal Transport Maps. ISIT Mingchen Jiang, Peng Xu, Xichen Ye, Yun Yang, Yifan Chen
2025	J	`jnl`	Embedding Empirical Distributions for Computing Optimal Transport Maps. CoRR Mingchen Jiang, Peng Xu, Xichen Ye, Xiaohui Chen, Yun Yang, Yifan Chen
2025	J	`jnl`	Investigating Data Pruning for Pretraining Biological Foundation Models at Scale. CoRR Yifan Wu, Jiyue Jiang, Xichen Ye, Yiqi Wang, Chang Zhou, Yitao Xu, Jiayang Chen, He Hu, Weizhong Zhang, Cheng Jin, Jiao Yuan, Yu Li
2025	J	`jnl`	Mutual learning with discrepancy for weakly supervised object detection. Expert Syst. Appl. Kequan Yang, Xichen Ye, Yuanchen Wu, Jide Li, Xiaoqiang Li, Pinpin Zhu
2025	A*	`conf`	Optimized Gradient Clipping for Noisy Label Learning. AAAI Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin
2025	J	`jnl`	ProxyMatting: Transformer-based image matting via region proxy. Knowl. Based Syst. Jide Li, Kequan Yang, Yuanchen Wu, Xichen Ye, Hanqi Yang, Xiaoqiang Li
2025	A*	`conf`	Towards Robust Influence Functions with Flat Validation Minima. ICML Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen
2025	J	`jnl`	Towards Robust Influence Functions with Flat Validation Minima. CoRR Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen
2025	J	`jnl`	When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF. CoRR Yifan Xu, Xichen Ye, Yifan Chen, Qiaosheng Zhang
2024	J	`jnl`	Active Negative Loss: A Robust Framework for Learning with Noisy Labels. CoRR Xichen Ye, Yifan Wu, Yiwen Xu, Xiaoqiang Li, Weizhong Zhang, Yifan Chen
2024	A*	`conf`	DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation. CVPR Yuanchen Wu, Xichen Ye, Kequan Yang, Jide Li, Xiaoqiang Li
2024	J	`jnl`	DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation. CoRR Yuanchen Wu, Xichen Ye, Kequan Yang, Jide Li, Xiaoqiang Li
2024	J	`jnl`	Optimized Gradient Clipping for Noisy Label Learning. CoRR Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin
2024	J	`jnl`	Revisiting Energy-Based Model for Out-of-Distribution Detection. CoRR Yifan Wu, Xichen Ye, Songmin Dai, Dengye Pan, Xiaoqiang Li, Weizhong Zhang, Yifan Chen
2024	J	`jnl`	Scale and spatial awareness-based prohibited item detection in X-ray image. J. Electronic Imaging Shengyu Wang, Kequan Yang, Xichen Ye, Yifan Wu, Gang Liu, Xiaoqiang Li
2023	A*	`conf`	Active Negative Loss Functions for Learning with Noisy Labels. NeurIPS Xichen Ye, Xiaoqiang Li, Songmin Dai, Tong Liu, Yan Sun, Weiqin Tong
2023	A*	`conf`	GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting. AAAI Songmin Dai, Xiaoqiang Li, Yue Zhou, Xichen Ye, Tong Liu