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Rui Guo
Rui Guo
Verified email at tsinghua.edu.cn
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Year
Supervised descent learning technique for 2-D microwave imaging
R Guo, X Song, M Li, F Yang, S Xu, A Abubakar
IEEE Transactions on Antennas and Propagation 67 (5), 3550-3554, 2019
1122019
Machine learning in electromagnetics with applications to biomedical imaging: A review
M Li, R Guo, K Zhang, Z Lin, F Yang, S Xu, X Chen, A Massa, A Abubakar
IEEE Antennas and Propagation Magazine 63 (3), 39-51, 2021
552021
Joint inversion of audio-magnetotelluric and seismic travel time data with deep learning constraint
R Guo, HM Yao, M Li, MKP Ng, L Jiang, A Abubakar
IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7982-7995, 2020
482020
A supervised descent learning technique for solving directional electromagnetic logging-while-drilling inverse problems
Y Hu, R Guo, Y Jin, X Wu, M Li, A Abubakar, J Chen
IEEE Transactions on Geoscience and Remote Sensing 58 (11), 8013-8025, 2020
482020
Physics embedded deep neural network for solving full-wave inverse scattering problems
R Guo, Z Lin, T Shan, X Song, M Li, F Yang, S Xu, A Abubakar
IEEE transactions on antennas and propagation 70 (8), 6148-6159, 2021
472021
Pixel-and model-based microwave inversion with supervised descent method for dielectric targets
R Guo, Z Jia, X Song, M Li, F Yang, S Xu, A Abubakar
IEEE Transactions on Antennas and Propagation 68 (12), 8114-8126, 2020
422020
Physics embedded deep neural network for solving volume integral equation: 2-D case
R Guo, T Shan, X Song, M Li, F Yang, S Xu, A Abubakar
IEEE Transactions on Antennas and Propagation 70 (8), 6135-6147, 2021
392021
Supervised descent learning for thoracic electrical impedance tomography
K Zhang, R Guo, M Li, F Yang, S Xu, A Abubakar
IEEE Transactions on Biomedical Engineering 68 (4), 1360-1369, 2020
362020
Application of supervised descent method for 2D magnetotelluric data inversion
R Guo, M Li, F Yang, S Xu, A Abubakar
Geophysics 85 (4), WA53-WA65, 2020
362020
Low-frequency data prediction with iterative learning for highly nonlinear inverse scattering problems
Z Lin, R Guo, M Li, A Abubakar, T Zhao, F Yang, S Xu
IEEE Transactions on Microwave Theory and Techniques 69 (10), 4366-4376, 2021
342021
Application of supervised descent method to transient electromagnetic data inversion
R Guo, M Li, G Fang, F Yang, S Xu, A Abubakar
Geophysics 84 (4), E225-E237, 2019
322019
Solving combined field integral equation with deep neural network for 2-D conducting object
R Guo, Z Lin, T Shan, M Li, F Yang, S Xu, A Abubakar
IEEE Antennas and Wireless Propagation Letters 20 (4), 538-542, 2021
242021
Neural network-based supervised descent method for 2D electrical impedance tomography
Z Lin, R Guo, K Zhang, M Li, F Yang, S Xu, A Abubakar
Physiological Measurement 41 (7), 074003, 2020
222020
Application of multitask learning for 2-D modeling of magnetotelluric surveys: TE case
T Shan, R Guo, M Li, F Yang, S Xu, L Liang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-9, 2021
182021
Physics-embedded machine learning for electromagnetic data imaging: Examining three types of data-driven imaging methods
R Guo, T Huang, M Li, H Zhang, YC Eldar
IEEE Signal Processing Magazine 40 (2), 18-31, 2023
17*2023
Enhanced supervised descent learning technique for electromagnetic inverse scattering problems by the deep convolutional neural networks
HM Yao, R Guo, M Li, L Jiang, MKP Ng
IEEE Transactions on Antennas and Propagation 70 (8), 6195-6206, 2022
162022
First arrival traveltime tomography using supervised descent learning technique
R Guo, M Li, F Yang, S Xu, A Abubakar
Inverse Problems 35 (10), 105008, 2019
162019
Spatial resolution matching of microwave radiometer data with convolutional neural network
Y Li, W Hu, S Chen, W Zhang, R Guo, J He, L Ligthart
Remote Sensing 11 (20), 2432, 2019
142019
Application of supervised descent method for transient EM data inversion
R Guo, M Li, F Yang, S Xu, G Fang, A Abubakar
SEG Technical Program Expanded Abstracts 2018, 2126-2130, 2018
132018
Physics-informed supervised residual learning for electromagnetic modeling
T Shan, J Zeng, X Song, R Guo, M Li, F Yang, S Xu
IEEE Transactions on Antennas and Propagation 71 (4), 3393-3407, 2023
122023
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