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Yudong Zhang

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • eess.SP1
  • hep-ph1
ORCID 0000-0002-4870-1493
same name
  • Yudong Zhang — 6 papers, h 18
  • Yudong Zhang — 3 papers
  • Yudong Zhang — 2 papers, h 3
  • Yudong Zhang — 1 paper, h 3
  • Yudong Zhang — 1 paper, h 2
  • Yudong Zhang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDNN-DANM: A High-Accuracy Two-Dimensional DOA Estimation Method Using Practical RIS

23 citations · 25 across the 4 of their papers we have counts for

collaborators

4 papers

hep-ph2023

Two-Loop QCD Corrections to C even Bottomonium Exclusive Decays to Double J/ψ

Yu-Dong Zhang, Xiao-Wei Bai, Feng Feng +2

In the framework of nonrelativistic QCD (NRQCD) factorization, we compute both the polarized and the unpolarized decay widths for the processes ηb​(χbJ​)→J/ψJ/ψ, accurate up…

eess.SP2023★ 23 cited

DNN-DANM: A High-Accuracy Two-Dimensional DOA Estimation Method Using Practical RIS

Zhimin Chen, Peng Chen, Le Zheng +1

Reconfigurable intelligent surface (RIS) or intelligent reflecting surface (IRS) has been an attractive technology for future wireless communication and sensing systems. However, i…

eess.IV2023

MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis

Lin Yang, Shuihua Wang, Yudong Zhang

Coronavirus disease 2019 (COVID-19) has spread all over the world for three years, but medical facilities in many areas still aren't adequate. There is a need for rapid COVID-19 di…

eess.IV2023★ 2 cited

A High-Frequency Focused Network for Lightweight Single Image Super-Resolution

Xiaotian Weng, Yi Chen, Zhichao Zheng +3

Lightweight neural networks for single-image super-resolution (SISR) tasks have made substantial breakthroughs in recent years. Compared to low-frequency information, high-frequenc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.