T
Tao Shan
Researcher at Tsinghua University
Publications - 22
Citations - 345
Tao Shan is an academic researcher from Tsinghua University. The author has contributed to research in topics: Deep learning & Artificial neural network. The author has an hindex of 6, co-authored 12 publications receiving 134 citations.
Papers
More filters
Journal ArticleDOI
Coding Programmable Metasurfaces Based on Deep Learning Techniques
TL;DR: This study shows that machines may “learn” the physics of modulating electromagnetic waves with the help of the good generalization ability in deep convolutional neural networks.
Posted Content
Study on a Poisson's Equation Solver Based On Deep Learning Technique
TL;DR: In this article, a deep convolutional neural network was used to predict the distribution of electric potential in 2D or 3D cases, with a significant reduction in CPU time compared with the traditional finite difference methods.
Journal ArticleDOI
Study on a Fast Solver for Poisson’s Equation Based on Deep Learning Technique
TL;DR: It is shown that deep neural networks have a good learning capacity for numerical simulations, which could help to build some fast solvers for some computational electromagnetic problems.
Proceedings ArticleDOI
Study on a Poisson's equation solver based on deep learning technique
TL;DR: The feasibility of applying deep learning techniques to solve 2D Poisson's equation is investigated, with a significant reduction in CPU time compared with the traditional solver based on finite difference methods.
Journal ArticleDOI
Artificial Intelligence: New Frontiers in Real–Time Inverse Scattering and Electromagnetic Imaging
TL;DR: A review of the most recent progresses in the application of ML and DL for EM vision problems is given to better understand the pros and cons and foster future research in using AI to address paramount challenges in the field of EM vision.