Towards Practical Lipschitz Bandits. - Tianyu Wang 008; Weicheng Ye; Dawei Geng; Cynthia Rudin (FODS, 2020)

Learning Algorithm in Two-Stage Selective Prediction. - Weicheng Ye; Dangxing Chen; Ilqar Ramazanli (CACML, 2022)

Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring. - Dangxing Chen; Weicheng Ye (ICAIF, 2022)

Generalized Gloves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance. - Dangxing Chen; Weicheng Ye (CoRR, 2022)

Interpretable Selective Learning in Credit Risk. - Dangxing Chen; Weicheng Ye; Jiahui Ye (CoRR, 2022)

How to address monotonicity for model risk management? - Dangxing Chen; Weicheng Ye (ICML, 2023)

Probing sign structure using measurement-induced entanglement. - Cheng-Ju Lin; Weicheng Ye; Yijian Zou; Shengqi Sang; Timothy H. Hsieh (Quantum, 2023)

Generalized Groves of Neural Additive Models: Pursuing Transparent Machine Learning Models in Finance. - Dangxing Chen; Weicheng Ye (CIFEr, 2024)

Why Groups Matter: Necessity of Group Structures in Attributions. - Dangxing Chen; Jingfeng Chen; Weicheng Ye (ICAIF, 2024)