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He Ming Yao
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2020 – today
- 2024
- [j6]Michael Ng, He Ming Yao:
Deep learning based source reconstruction method using asymmetric encoder-decoder structure and physics-induced loss. J. Comput. Appl. Math. 438: 115503 (2024) - 2022
- [j5]He Ming Yao, Yanming Zhang, Lijun Jiang, Hong Tat Ewe, Michael Ng:
Snow Parameters Inversion from Passive Microwave Remote Sensing Measurements by Deep Convolutional Neural Networks. Sensors 22(13): 4769 (2022) - 2021
- [j4]Rui Guo, He Ming Yao, Maokun Li, Michael Kwok-Po Ng, Lijun Jiang, Aria Abubakar:
Joint Inversion of Audio-Magnetotelluric and Seismic Travel Time Data With Deep Learning Constraint. IEEE Trans. Geosci. Remote. Sens. 59(9): 7982-7995 (2021) - 2020
- [j3]He Ming Yao, Lijun Jiang:
Enhanced PML Based on the Long Short Term Memory Network for the FDTD Method. IEEE Access 8: 21028-21035 (2020)
2010 – 2019
- 2019
- [j2]He Ming Yao, Min Li, Lijun Jiang:
Applying Deep Learning Approach to the Far-Field Subwavelength Imaging Based on Near-Field Resonant Metalens at Microwave Frequencies. IEEE Access 7: 63801-63808 (2019) - [j1]Bing Xiao, He Ming Yao, Min Li, Jing-Song Hong, Kwan L. Yeung:
Flexible Wideband Microstrip-Slotline-Microstrip Power Divider and its Application to Antenna Array. IEEE Access 7: 143973-143979 (2019)
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last updated on 2024-04-24 23:18 CEST by the dblp team
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