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Kaiyang Cheng
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2020 – today
- 2023
- [j2]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
:
Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation. J. Cheminformatics 15(1): 57 (2023) - [j1]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
LogD7.4 prediction enhanced by transferring knowledge from chromatographic retention time, microscopic pKa and logP. J. Cheminformatics 15(1): 76 (2023) - 2020
- [c2]Kaiyang Cheng, Francesco Calivá, Rutwik Shah, Misung Han, Sharmila Majumdar, Valentina Pedoia:
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training. MIDL 2020: 121-135 - [i3]Francesco Calivá, Kaiyang Cheng, Rutwik Shah, Valentina Pedoia:
Adversarial Robust Training in MRI Reconstruction. CoRR abs/2011.00070 (2020)
2010 – 2019
- 2019
- [c1]Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue
Adversarial Policy Gradient for Deep Learning Image Augmentation. MICCAI (6) 2019: 450-458 - [i2]Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia:
Adversarial Policy Gradient for Deep Learning Image Augmentation. CoRR abs/1909.04108 (2019) - [i1]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
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning. CoRR abs/1909.06326 (2019)
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