Houpu Yao
Houpu Yao
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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
FEA-Net: A physics-guided data-driven model for efficient mechanical response prediction
H Yao, Y Gao, Y Liu
Computer Methods in Applied Mechanics and Engineering 363, 112892, 2020
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
Aircraft dynamics simulation using a novel physics-based learning method
Y Yu, H Yao, Y Liu
Aerospace Science and Technology 87, 254-264, 2019
A recurrent neural network approach for aircraft trajectory prediction with weather features from sherlock
Y Pang, H Yao, J Hu, Y Liu
AIAA Aviation 2019 Forum, 3413, 2019
A nonlinear dynamic model and parameters identification method for predicting the shock pulse of rubber waveform generator
J Wen, C Liu, H Yao, B Wu
International Journal of Impact Engineering 120, 1-15, 2018
Structural dynamics simulation using a novel physics-guided machine learning method
Y Yu, H Yao, Y Liu
Engineering Applications of Artificial Intelligence 96, 103947, 2020
Physics-based learning for aircraft dynamics simulation
Y Yu, H Yao, Y Liu
Phm society conference 10 (1), 2018
On fault diagnosis for high-g accelerometers via data-driven models
J Wen, H Yao, Z Ji, B Wu, M Xia
IEEE Sensors Journal 21 (2), 1359-1368, 2020
Low-cost Measurement of Industrial Shock Signals via Deep Learning Calibration
H Yao, J Wen, Y Ren, B Wu, Z Ji
2019 IEEE International Conference on Acoustics, Speech and Signal …, 2019
Physics-based deep learning for probabilistic fracture analysis of composite materials
Y Gao, H Yao, H Wei, Y Liu
AIAA Scitech 2020 Forum, 1860, 2020
Impressionist: a 3D Peekaboo game for crowdsourcing shape saliency
H Yao, MY Ren
International Design Engineering Technical Conferences and Computers and …, 2016
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
B Liu, C Tan, J Wang, T Zeng, H Shan, H Yao, H Huang, P Dai, L Bo, ...
arXiv preprint arXiv:2107.04129, 2021
Improving Model Robustness with Transformation-Invariant Attacks
H Yao, Z Wang, G Nie, Y Mazboudi, Y Yang, Y Ren
CVPR 2019 Workshop on Adversarial Machine Learning in Real-World Computer …, 2019
A Deep Learning Approach to Recover High-g Shock Signals from the Faulty Accelerometer
J Wen, H Yao, B Wu, Y Ren, Z Ji
IEEE Sensors Journal, 2019
Self-validating high-g accelerometers through data-driven methods
J Wen, H Yao, Z Ji, B Wu, F Xu
Sensors and Actuators A: Physical 328, 112803, 2021
Fracture pattern prediction with random microstructure using a physics-informed deep neural networks
H Wei, H Yao, Y Pang, Y Liu
Engineering Fracture Mechanics 268, 108497, 2022
Image Decomposition and Classification through a Generative Model
H Yao, M Regan, Y Yang, Y Ren
The 26th IEEE International Conference on Image Processing (ICIP), 2019
Robust and Generalizable Machine Learning Through Generative Models, Adversarial Training, and Physics Priors
H Yao
Arizona State University, 2019
A hybrid learning approach for the simulation of aircraft dynamical systems
Y Yu, H Yao, Y Liu
AIAA Scitech 2019 Forum, 0436, 2019
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