关注
Yiming Zhang
标题
引用次数
引用次数
年份
Multifidelity surrogate based on single linear regression
Y Zhang, NH Kim, C Park, RT Haftka
AIAA Journal 56 (12), 4944-4952, 2018
942018
Advances in bayesian probabilistic modeling for industrial applications
S Ghosh, P Pandita, S Atkinson, W Subber, Y Zhang, NC Kumar, ...
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2020
352020
General Surrogate Adaptive Sampling using Interquartile Range for Design Space Exploration
Y Zhang, NH Kim, RT Haftka
AIAA Scitech 2019 Forum, 2213, 2019
282019
Mechanical performance of triply periodic minimal surface structures with a novel hybrid gradient fabricated by selective laser melting
N Qiu, J Zhang, F Yuan, Z Jin, Y Zhang, J Fang
Engineering Structures 263, 114377, 2022
242022
A strategy for adaptive sampling of multi-fidelity gaussian processes to reduce predictive uncertainty
S Ghosh, J Kristensen, Y Zhang, W Subber, L Wang
International Design Engineering Technical Conferences and Computers and …, 2019
212019
Industrial applications of intelligent adaptive sampling methods for multi-objective optimization
J Kristensen, W Subber, Y Zhang, S Ghosh, NC Kumar, G Khan, L Wang
Design and Manufacturing, 2019
182019
Remarks for scaling up a general gaussian process to model large dataset with sub-models
Y Zhang, S Ghosh, P Pandita, W Subber, G Khan, L Wang
AIAA Scitech 2020 Forum, 0678, 2020
122020
Function prediction at one inaccessible point using converging lines
Y Zhang, C Park, NH Kim, RT Haftka
Journal of Mechanical Design 139 (5), 051402, 2017
102017
On approaches to combine experimental strength and simulation with application to open-hole-tension configuration
Y Zhang, J Meeker, J Schutte, N Kim, R Haftka
Proceedings of the American Society for composites: thirty-first technical …, 2016
102016
Learning uncertainty using clustering and local gaussian process regression
Y Zhang, S Ghosh, I Asher, Y Ling, L Wang
AIAA Scitech 2019 Forum, 1730, 2019
82019
Multi-fidelity surrogate modeling for application/architecture co-design
Y Zhang, A Neelakantan, N Kumar, C Park, RT Haftka, NH Kim, H Lam
High Performance Computing Systems. Performance Modeling, Benchmarking, and …, 2018
82018
Probabilistic machine learning assisted feature-based qualification of DED TI64
S Nag, Y Zhang, S Karnati, L Kerwin, A Kitt, E MacDonald, D Cheung, ...
JOM 73 (10), 3064-3081, 2021
72021
Finding maximum expected improvement for high-dimensional design optimization
Y Zhang, J Kristensen, S Ghosh, T Vandeputte, J Tallman, L Wang
AIAA Aviation 2019 Forum, 2985, 2019
72019
Adaptive sampling with varying sampling cost for design space exploration
Y Zhang, A Neelakantan, C Park, NH Kim, H Lam, RT Haftka
AIAA Journal 57 (3), 1032-1043, 2019
62019
Predicting B-basis allowable at untested points from experiments and simulations of plates with holes
Y Zhang, J Schutte, J Meeker, U Palliyaguru, NH Kim, RT Haftka
12th world congress on structural and multidisciplinary optimization …, 2017
62017
Efficient bayesian inverse method using robust gaussian processes for design under uncertainty
S Ghosh, P Pandita, W Subber, Y Zhang, L Wang
AIAA Scitech 2020 Forum, 1877, 2020
52020
Sampling by exploration and replication for estimating experimental strength of composite structures
Y Zhang, JF Schutte, WP Seneviratne, NH Kim, RT Haftka
AIAA Journal 55 (10), 3594-3602, 2017
52017
Allocation of samples between exploration and replication for open-hole-tension test
Y ZHANG, RT HAFTKA, NAMHO KIM, JF SCHUTTE, WP SENEVIRATNE
American Society of Composites-30th Technical Conference, 2015
52015
One-dimensional Function Extrapolation Using Surrogates
RTH Yiming Zhang, Nam-Ho Kim., Chanyoung Park
11th World Congress on Structural and Multidisciplinary Optimization, 2015
5*2015
Aerodynamic optimization of a transonic fan rotor by blade sweeping using adaptive Gaussian process
J Luo, Z Fu, Y Zhang, W Fu, J Chen
Aerospace Science and Technology 137, 108255, 2023
42023
系统目前无法执行此操作,请稍后再试。
文章 1–20