Follow
Yiming Zhang
Title
Cited by
Cited by
Year
Multifidelity surrogate based on single linear regression
Y Zhang, NH Kim, C Park, RT Haftka
AIAA Journal 56 (12), 4944-4952, 2018
1152018
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
422020
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
392022
General Surrogate Adaptive Sampling using Interquartile Range for Design Space Exploration
Y Zhang, NH Kim, RT Haftka
AIAA Scitech 2019 Forum, 2213, 2019
362019
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
262019
Bayesian gated-transformer model for risk-aware prediction of aero-engine remaining useful life
F Xiang, Y Zhang, S Zhang, Z Wang, L Qiu, JH Choi
Expert Systems with Applications 238, 121859, 2024
222024
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
172019
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
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
112023
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
Accelerating additive design with probabilistic machine learning
Y Zhang, S Karnati, S Nag, N Johnson, G Khan, B Ribic
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2022
92022
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
92021
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
92019
Multi-orientation optimization of complex parts based on model segmentation in additive manufacturing
H Guo, J Xu, S Zhang, Y Zhang, J Tan
Journal of Mechanical Science and Technology 37 (1), 317-331, 2023
82023
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
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
72019
Guided probabilistic reinforcement learning for sampling-efficient maintenance scheduling of multi-component system
Y Zhang, D Zhang, X Zhang, L Qiu, FTS Chan, Z Wang, S Zhang
Applied Mathematical Modelling 119, 677-697, 2023
62023
Signals hierarchical feature enhancement method for CNN-based fault diagnosis
H Zhang, S Zhang, Z Wang, L Qiu, Y Zhang
Advances in Mechanical Engineering 14 (9), 16878132221125019, 2022
62022
The system can't perform the operation now. Try again later.
Articles 1–20