| Prediction of composite microstructure stress-strain curves using convolutional neural networks C Yang, Y Kim, S Ryu, GX Gu Materials & Design 189, 108509, 2020 | 353 | 2020 |
| Accelerating Auxetic Metamaterial Design with Deep Learning JK Wilt, C Yang, GX Gu Advanced Engineering Materials, 1901266, 2020 | 184 | 2020 |
| Deep learning framework for material design space exploration using active transfer learning and data augmentation Y Kim, Y Kim, C Yang, K Park, GX Gu, S Ryu npj Computational Materials 7 (1), 140, 2021 | 125 | 2021 |
| Using convolutional neural networks to predict composite properties beyond the elastic limit C Yang, Y Kim, S Ryu, GX Gu MRS Communications 9 (2), 609-617, 2019 | 79 | 2019 |
| Designing an adhesive pillar shape with deep learning-based optimization Y Kim, C Yang, Y Kim, GX Gu, S Ryu ACS applied materials & interfaces 12 (21), 24458-24465, 2020 | 59 | 2020 |
| Creating prognostic systems for well-differentiated thyroid cancer using machine learning CQ Yang, L Gardiner, H Wang, MT Hueman, D Chen Frontiers in endocrinology 10, 288, 2019 | 41 | 2019 |
| Facile synthesis of ZnO@ ZIF core–shell nanofibers: crystal growth and gas adsorption X He, C Yang, D Wang, SE Gilliland III, DR Chen, WN Wang CrystEngComm 19 (18), 2445-2450, 2017 | 37 | 2017 |
| Creating prognostic systems for cancer patients: A demonstration using breast cancer MT Hueman, H Wang, CQ Yang, L Sheng, DE Henson, AM Schwartz, ... Cancer medicine 7 (8), 3611-3621, 2018 | 36 | 2018 |
| Interpretable forward and inverse design of particle spectral emissivity using common machine-learning models M Elzouka, C Yang, A Albert, RS Prasher, SD Lubner Cell Reports Physical Science 1 (12), 2020 | 30 | 2020 |
| Vibrational detection of delamination in composites using a combined finite element analysis and machine learning approach EW Jacobs, C Yang, KG Demir, GX Gu Journal of Applied Physics 128 (12), 2020 | 25 | 2020 |
| Barriers to pediatric cochlear implantation: a parental survey CQ Yang, BK Reilly, DA Preciado International journal of pediatric otorhinolaryngology 104, 224-227, 2018 | 24 | 2018 |
| An examination of TNM staging of melanoma by a machine learning algorithm D Wu, C Yang, S Wong, J Meyerle, B Zhang, D Chen 2012 international conference on computerized healthcare (ICCH), 120-126, 2012 | 12 | 2012 |
| Data-driven approach for the prediction of mechanical properties of carbon fiber reinforced composites V Shah, S Zadourian, C Yang, Z Zhang, GX Gu Materials Advances 3 (19), 7319-7327, 2022 | 10 | 2022 |
| Tonsillectomy versus tonsillotomy: a study of parental preference SD Stasio, C Yang, SE Brietzke, RK Shah International journal of pediatric otorhinolaryngology 79 (3), 359-362, 2015 | 9 | 2015 |
| Integrating additional factors into the TNM staging for cutaneous melanoma by machine learning CQ Yang, H Wang, Z Liu, MT Hueman, A Bhaskaran, DE Henson, ... PloS one 16 (9), e0257949, 2021 | 8 | 2021 |
| Interpretable inverse design of particle spectral emissivity using machine learning M Elzouka, C Yang, A Albert, S Lubner, RS Prasher arXiv preprint arXiv:2002.04223, 2020 | 4 | 2020 |
| Sequential Optimal Placement of Distributed Photovoltaics using Downstream Power Index MH Athari, C Yang, Z Wang 2017 North American Power Symposium (NAPS), 2017 | 4 | 2017 |
| Intralesional cidofovir for treatment of acyclovir-resistant laryngeal herpes manifesting as supraglottic mass CQ Yang, A Mathur, PN Kumar, VK Dhillon Annals of Otology, Rhinology & Laryngology 128 (3), 267-270, 2019 | 3 | 2019 |
| Response to Letter to the Editor for" Tonsillectomy versus Tonsillotomy: A study of parental preference". SD Stasio, C Yang, SE Brietzke, RK Shah International Journal of Pediatric Otorhinolaryngology 79 (10), 1790-1791, 2015 | 3 | 2015 |
| Machine learning for solid mechanics C Yang, Z Zhang, GX Gu Intelligent Nanotechnology, 33-45, 2023 | 2 | 2023 |
Grace X. GuAssistant Professor, Mechanical Engineering, UC BerkeleyVerified email at berkeley.edu
