An Interpretable Model with Globally Consistent Explanations for Credit Risk. - Chaofan Chen; Kangcheng Lin; Cynthia Rudin; Yaron Shaposhnik; Sijia Wang; Tong Wang 011 (CoRR, 2018)

A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results. - Kangcheng Lin; Bohao Huang; Leslie M. Collins; Kyle Bradbury; Jordan M. Malof (IGARSS, 2019)

A holistic approach to interpretability in financial lending: Models, visualizations, and summary-explanations. - Chaofan Chen; Kangcheng Lin; Cynthia Rudin; Yaron Shaposhnik; Sijia Wang; Tong Wang 011 (Decis. Support Syst., 2022)