| 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), 2017 | 72 | 2017 |
| When crowdsourcing fails: A study of expertise on crowdsourced design evaluation A Burnap, Y Ren, R Gerth, G Papazoglou, R Gonzalez, PY Papalambros Journal of Mechanical Design 137 (3), 031101, 2015 | 65 | 2015 |
| 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 | 55 | 2018 |
| Design of hybrid-electric vehicle architectures using auto-generation of feasible driving modes AE Bayrak, Y Ren, PY Papalambros ASME 2013 international design engineering technical conferences and …, 2013 | 47 | 2013 |
| ecoracer: Game-based optimal electric vehicle design and driver control using human players Y Ren, AE Bayrak, PY Papalambros Journal of Mechanical Design 138 (6), 2016 | 38 | 2016 |
| A Design Preference Elicitation Query as an Optimization Process Y Ren, PY Papalambros Journal of Mechanical Design 133, 111004, 2011 | 33 | 2011 |
| Improving design preference prediction accuracy using feature learning A Burnap, Y Pan, Y Liu, Y Ren, H Lee, R Gonzalez, PY Papalambros Journal of Mechanical Design 138 (7), 2016 | 32 | 2016 |
| Topology generation for hybrid electric vehicle architecture design AE Bayrak, Y Ren, PY Papalambros Journal of Mechanical Design 138 (8), 081401, 2016 | 28 | 2016 |
| A simulation based estimation of crowd ability and its influence on crowdsourced evaluation of design concepts A Burnap, Y Ren, PY Papalambros, R Gonzalez, R Gerth ASME Paper No. DETC2013-13020, 2013 | 23 | 2013 |
| Deep network-based feature extraction and reconstruction of complex material microstructures R Cang, MY Ren ASME 2016 International Design Engineering Technical Conferences and …, 2016 | 22 | 2016 |
| Public investment and electric vehicle design: a model-based market analysis framework with application to a USA–China comparison study N Kang, Y Ren, FM Feinberg, PY Papalambros Design Science 2, 2016 | 22 | 2016 |
| 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 | 21 | 2018 |
| Quantification of perceptual design attributes using a crowd Y Ren, A Burnap, P Papalambros DS 75-6: Proceedings of the 19th International Conference on Engineering …, 2013 | 21 | 2013 |
| Optimal dual-mode hybrid electric vehicle powertrain architecture design for a variety of loading scenarios AE Bayrak, Y Ren, PY Papalambros International Design Engineering Technical Conferences and Computers and …, 2014 | 16 | 2014 |
| 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 | 14* | 2019 |
| Learning an optimization algorithm through human design iterations T Sexton, MY Ren Journal of Mechanical Design 139 (10), 2017 | 13 | 2017 |
| On design preference elicitation with crowd implicit feedback Y Ren, PY Papalambros International Design Engineering Technical Conferences and Computers and …, 2012 | 11 | 2012 |
| Hierarchical n-point polytope functions for quantitative representation of complex heterogeneous materials and microstructural evolution PE Chen, W Xu, N Chawla, Y Ren, Y Jiao Acta Materialia 179, 317-327, 2019 | 8 | 2019 |
| Fea-net: A deep convolutional neural network with physicsprior for efficient data driven pde learning H Yao, Y Ren, Y Liu AIAA Scitech 2019 Forum, 0680, 2019 | 7 | 2019 |
| Design Preference Elicitation, Derivative-Free Optimization and Support Vector Machine Search Y Ren, PY Papalambros ASME, 2010 | 7 | 2010 |
Panos Y. PapalambrosProfessor of Mechanical Engineering, University of MichiganVerified email at umich.edu
