| Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model R Cang, H Li, H Yao, Y Jiao, Y Ren Computational Materials Science 150, 212-221, 2018 | 209 | 2018 |
| Microstructure representation and reconstruction of heterogeneous materials via deep belief network for computational material design R Cang, Y Xu, S Chen, Y Liu, Y Jiao, M Yi Ren Journal of Mechanical Design 139 (7), 071404, 2017 | 195 | 2017 |
| An indirect design representation for topology optimization using variational autoencoder and style transfer T Guo, DJ Lohan, R Cang, MY Ren, JT Allison 2018 AIAA/ASCE/AHS/ASC structures, structural dynamics, and materials …, 2018 | 104 | 2018 |
| One-shot generation of near-optimal topology through theory-driven machine learning R Cang, H Yao, Y Ren Computer-Aided Design 109, 12-21, 2019 | 70 | 2019 |
| Deep network-based feature extraction and reconstruction of complex material microstructures R Cang, MY Ren International Design Engineering Technical Conferences and Computers and …, 2016 | 37 | 2016 |
| Scalable microstructure reconstruction with multi-scale pattern preservation R Cang, A Vipradas, Y Ren International Design Engineering Technical Conferences and Computers and …, 2017 | 7 | 2017 |
| One-Shot Optimal Topology Generation through Theory-Driven Machine Learning R Cang, H Yao, Y Ren arXiv preprint arXiv:1807.10787, 2018 | 3 | 2018 |
| Controllable One-Shot Face Video Synthesis With Semantic Aware Prior K Liu, YC Su, R Cang, X Jia arXiv preprint arXiv:2304.14471, 2023 | 2 | 2023 |
| Data-Augmented Structure-Property Mapping for Accelerating Computational Design of Advanced Material Systems R Cang Arizona State University, 2018 | | 2018 |
