no code implementations • 2 Sep 2024 • Daoqi Liu, Tao Shan, Maokun Li, Fan Yang, Shenheng Xu
The multi-frequency NeuralBIM method explores a novel inversion method for multi-frequency EM data and provides an effective solution for the electromagnetic ISP of multi-frequency data.
no code implementations • 1 Jul 2023 • Shuzhe Chen, Li Li, Zhichao Lin, Ke Zhang, Ying Gong, Lu Wang, Xu Wu, Maokun Li, Yuanlin Song, Fan Yang, Shenheng Xu
A simple convolutional neural network is used for classification.
no code implementations • 11 Nov 2022 • Changhao Liu, Fan Yang, Maokun Li, Shenheng Xu
Recently, artificial neural network empowered inverse design for metasurfaces has been developed that can design on-demand meta-atoms with diverse shapes and high performance, where the design process based on artificial intelligence is fast and automatic.
no code implementations • 21 May 2022 • Mingyao Cui, Zidong Wu, Yuhao Chen, Shenheng Xu, Fan Yang, Linglong Dai
By jointly designing the hardware and software, this prototype can realize real-time 4K video transmission with much reduced power consumption.
no code implementations • IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, VOL. 20, NO. 4, APRIL 2021 • Rui Guo, Zhichao Lin, Tao Shan, Maokun Li, Fan Yang, Shenheng Xu, Aria Abubakar
Abstract—Solving the combined field integral equation (CFIE) for the large-scale scattering problem is computationally expensive.