Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer. - Zhida Shang; Hefeng Meng; Yibowen Zhao; Ronghua Xu; Yonghui Xu; Lizhen Cui (Int. J. Crowd Sci., 2023)

EAPR: explainable and augmented patient representation learning for disease prediction. - Jiancheng Zhang; Yonghui Xu; Bicui Ye; Yibowen Zhao; Xiaofang Sun 003; Qi Meng; Yang Zhang; Lizhen Cui (Health Inf. Sci. Syst., 2023)

Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation. - Yibowen Zhao; Yonghui Xu; Yixin Zhang; Wei He 020; Lizhen Cui (DASFAA (6), 2024)

Causal Denoising Framework for Generalizable Recommendation System using Graph Neural Network. - Yibowen Zhao; Yonghui Xu; Ning Liu 014; Yixin Zhang; Wei Guo 017; Xudong Lu; Lizhen Cui (ICME, 2024)

Effective test-time personalization for federated semantic segmentation. - Haotian Chen 002; Yonghui Xu; Yanyu Xu; Yibowen Zhao; Yixin Zhang; Lizhen Cui (Expert Syst. Appl., 2025)

Conditional Potential User Mining framework via explainable surrogate models. - Yibowen Zhao; Yonghui Xu; Yong Liu 020; Luwei Yang; Wen Jiang; Wei Ning; Xiaofang Sun 003; Lizhen Cui (Expert Syst. Appl., 2025)