Kaiyang Cheng

According to our database, Kaiyang Cheng authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Xiaojie Lu, Mingyue Zheng, Xutong Li

J. Cheminformatics, December, 2023

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, Xutong Li, Mingyue Zheng

J. Cheminformatics, December, 2023

2020

Adversarial Robust Training in MRI Reconstruction.

Francesco Calivá, Kaiyang Cheng, Rutwik Shah, Valentina Pedoia

CoRR, 2020

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

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, Kevin A. Padrez, Eugene Ozhinsky, Sharmila Majumdar, Valentina Pedoia

CoRR, 2019

Adversarial Policy Gradient for Deep Learning Image Augmentation.

Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019