科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
H
He Ming Yao
tsinghua university
18
H指数
53
论文数
1.1K
被引数
0
相关解读
订阅
收录论文
10
发表时间
发表时间
IF
被引数
Deep Learning Approach for Microwave Imaging Based on Deep Convolutional Asymmetric Encoder-Decoder Structure and Physics-Induced Loss
基于深度卷积非对称编解码结构及物理诱导损失的微波成像深度学习方法
IEEE Transactions on Computational Imaging
IF
4.8
2026-06-12
0
PRE
AI
He Ming Yao; Shiji Song; Michael Kwok Po NG; Lijun Jiang
分享
收藏
Deep Learning-Based Fast Full-Wave Electromagnetic Forward Solver Using Physics-Induced Loss
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
IF
4.8
2024-09-01
0
PRE
AI
Guo, Xingyue; Yao, He Ming; Liu, Yuanan; Ng, Michael
分享
收藏
Enhanced Deep Learning Approach for Electromagnetic Forward Modeling of Dielectric Target Within the Wide Frequency Band Using Deep Residual Convolutional Neural Network
基于深度残差卷积神经网络的宽频带介电目标电磁正演增强深度学习方法
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
IF
4.8
2024-06-01
1
PRE
AI
Yao, He Ming; Zhang, Huan Huan; Jiang, Lijun; Ng, Michael
分享
收藏
Fast Full-Wave Electromagnetic Forward Solver Based on Deep Conditional Convolutional Autoencoders
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
IF
4.8
2023-04-01
6
PRE
AI
Zhang, Huan Huan; Yao, He Ming; Jiang, Lijun; Ng, Michael
分享
收藏
Joint Inversion of Audio-Magnetotelluric and Seismic Travel Time Data With Deep Learning Constraint
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
IF
8.6
2021-09-01
59
PRE
AI
Guo, Rui; Yao, He Ming; Li, Maokun; Ng, Michael Kwok Po; Jiang, Lijun; Abubakar, Aria
分享
收藏
Enhanced Deep Learning Approach Based on the Deep Convolutional Encoder-Decoder Architecture for Electromagnetic Inverse Scattering Problems
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
IF
4.8
2020-07-01
66
PRE
AI
Yao, He Ming; Jiang, Lijun; Sha, Wei E. I.
分享
收藏
Enhanced PML Based on the Long Short Term Memory Network for the FDTD Method
IEEE ACCESS
IF
3.6
2020-01-01
23
OA
AI
Yao, He Ming; Jiang, Lijun
分享
收藏
Two-Step Enhanced Deep Learning Approach for Electromagnetic Inverse Scattering Problems
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
IF
4.8
2019-11-01
108
PRE
AI
Yao, He Ming; Sha, Wei E. I.; Jiang, Lijun
分享
收藏
Applying Deep Learning Approach to the Far-Field Subwavelength Imaging Based on Near-Field Resonant Metalens at Microwave Frequencies
IEEE ACCESS
IF
3.6
2019-01-01
30
OA
AI
Yao, He Ming; Li, Min; Jiang, Lijun
分享
收藏
Machine-Learning-Based PML for the FDTD Method
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
IF
4.8
2019-01-01
67
PRE
AI
Yao, He Ming; Jiang, Lijun
分享
收藏
研究方向
暂时未获取到该数据
合作学者
合作期刊
暂无数据