Adversarial Policy Gradient for Deep Learning Image Augmentation. - Kaiyang Cheng; Claudia Iriondo; Francesco Calivá; Justin Krogue; Sharmila Majumdar; Valentina Pedoia (MICCAI (6), 2019)

Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning. - Justin D. Krogue; Kaiyang V. Cheng; Kevin M. Hwang; Paul Toogood; Eric G. Meinberg; Erik J. Geiger; Musa B. Zaid; Kevin C. McGill; Rina Patel; Jae Ho Sohn; Alexandra Wright; Bryan F. Darger; et al. (CoRR, 2019)

Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training. - Kaiyang Cheng; Francesco Calivá; Rutwik Shah; Misung Han; Sharmila Majumdar; Valentina Pedoia (MIDL, 2020)

Adversarial Robust Training in MRI Reconstruction. - Francesco Calivá; Kaiyang Cheng; Rutwik Shah; Valentina Pedoia (CoRR, 2020)

LogD7.4 prediction enhanced by transferring knowledge from chromatographic retention time, microscopic pKa and logP. - Yitian Wang; Jiacheng Xiong; Fu Xiao; Wei Zhang; Kaiyang Cheng; Jingxin Rao; Buying Niu; Xiaochu Tong; Ning Qu; Runze Zhang; Dingyan Wang; Kaixian Chen; et al. (J. Cheminformatics, 2023)

Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation. - Zimei Zhang; Gang Wang; Rui Li; Lin Ni; Runze Zhang; Kaiyang Cheng; Qun Ren; Xiangtai Kong; Shengkun Ni; Xiaochu Tong; Li Luo; Dingyan Wang; et al. (J. Cheminformatics, 2023)