Articles by Bing Wang
A robust hybrid structural learning framework for robust structural learning and feature selection for credit risk prediction
The authors propose a robust hybrid structural learning framework for feature selection designed to address key challenges in credit risk prediction.
A method of classifying imbalanced credit data based on the AC-CTGAN hybrid sampling algorithm
The authors put forward a novel method with which to identify risk in consumer credit data and demonstrate its enhanced generalization ability compared to commonly used methods.