GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting. - Songmin Dai; Xiaoqiang Li; Yue Zhou; Xichen Ye; Tong Liu (AAAI, 2023)

Active Negative Loss Functions for Learning with Noisy Labels. - Xichen Ye; Xiaoqiang Li; Songmin Dai; Tong Liu 001; Yan Sun; Weiqin Tong (NeurIPS, 2023)

DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation. - Yuanchen Wu; Xichen Ye; Kequan Yang; Jide Li; Xiaoqiang Li (CVPR, 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)

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)

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)

Optimized Gradient Clipping for Noisy Label Learning. - Xichen Ye; Yifan Wu; Weizhong Zhang; Xiaoqiang Li; Yifan Chen 004; Cheng Jin 001 (AAAI, 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)

ProxyMatting: Transformer-based image matting via region proxy. - Jide Li; Kequan Yang; Yuanchen Wu; Xichen Ye; Hanqi Yang; Xiaoqiang Li (Knowl. Based Syst., 2025)

Embedding Empirical Distributions for Computing Optimal Transport Maps. - Mingchen Jiang; Peng Xu; Xichen Ye; Xiaohui Chen; Yun Yang; Yifan Chen (CoRR, 2025)

Towards Robust Influence Functions with Flat Validation Minima. - Xichen Ye; Yifan Wu; Weizhong Zhang; Cheng Jin; Yifan Chen (CoRR, 2025)