Generalized Adversarial Examples: Attacks and Defenses. - Haojing Shen; Sihong Chen; Ran Wang 001; Xizhao Wang (CoRR, 2020)

A study on the uncertainty of convolutional layers in deep neural networks. - Haojing Shen; Sihong Chen; Ran Wang 001 (Int. J. Mach. Learn. Cybern., 2021)

Adaptive conditional bias-penalized Kalman filter with minimization of degrees of freedom for noise for superior state estimation and prediction of extremes. - Dong-Jun Seo; Haojing Shen; Haksu Lee (Comput. Geosci., 2022)

Towards improving fast adversarial training in multi-exit network. - Sihong Chen; Haojing Shen; Ran Wang 001; Xizhao Wang (Neural Networks, 2022)

Adversarial Learning With Cost-Sensitive Classes. - Haojing Shen; Sihong Chen; Ran Wang 001; Xizhao Wang (IEEE Trans. Cybern., 2023)