Sitong Li

Generative adversarial network-based learning for multi-source heterogeneous data

Experimental results reveal that the FinWGAN-GP model achieves high-fidelity generation and expansion for high-risk samples, and a balanced dataset is conducive to improving the training effect of the early warning model.