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20242026
most citedVBIM-Net: Variational Born Iterative Network for Inverse Scattering Problems

8 citations · 12 across the 13 of their papers we have counts for

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5 papers · 1 filter

eess.SP2024

Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model

Zirui Chen, Zhaoyang Zhang, Chenyu Liu +1

Research on leveraging big artificial intelligence model (BAIM) technology to drive the intelligent evolution of wireless networks is emerging. However, breakthroughs in generaliza…

eess.SP2024★ 8 cited

VBIM-Net: Variational Born Iterative Network for Inverse Scattering Problems

Ziqing Xing, Zhaoyang Zhang, Zirui Chen +3

Recently, studies have shown the potential of integrating field-type iterative methods with deep learning (DL) techniques in solving inverse scattering problems (ISPs). In this art…

eess.SP2024★ 1 cited

Channel Deduction: A New Learning Framework to Acquire Channel from Outdated Samples and Coarse Estimate

Zirui Chen, Zhaoyang Zhang, Zhaohui Yang +2

How to reduce the pilot overhead required for channel estimation? How to deal with the channel dynamic changes and error propagation in channel prediction? To jointly address these…

eess.SP2024

Channel Mapping Based on Interleaved Learning with Complex-Domain MLP-Mixer

Zirui Chen, Zhaoyang Zhang, Zhaohui Yang +1

In multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, representing the whole channel only based on partial subchannels will significan…

cs.NI2024

An Edge-Cloud Collaboration Framework for Generative AI Service Provision with Synergetic Big Cloud Model and Small Edge Models

Yuqing Tian, Zhaoyang Zhang, Yuzhi Yang +5

Generative artificial intelligence (GenAI) offers various services to users through content creation, which is believed to be one of the most important components in future network…