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Xinyu Zhang

10 papers hereh-index 9265 citations47 works total

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

author position
  • first author1
  • middle author7
  • last author1

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV2
  • eess.IV2
  • eess.SP2
same name
  • Xinyu Zhang — 28 papers, h 35
  • Xinyu Zhang — 16 papers, h 28
  • Xinyu Zhang — 16 papers, h 9
  • Xinyu Zhang — 14 papers, h 7
  • Xinyu Zhang — 11 papers
  • Xinyu Zhang — 11 papers, h 5

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

activity
20222026
most citedLDSF: Lightweight Dual-Stream Framework for SAR Target Recognition by Coupling Local Electromagnetic Scattering Features and Global Visual Features

22 citations · 23 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.LG2024

Orientation-Aware Sparse Tensor PCA for Efficient Unsupervised Feature Selection

Junjing Zheng, Xinyu Zhang, Weidong Jiang +2

Recently, introducing Tensor Decomposition (TD) techniques into unsupervised feature selection (UFS) has been an emerging research topic. A tensor structure is beneficial for minin…

eess.SP2024

Worst-Case Riemannian Optimization with Uncertain Target Steering Vector for Slow-Time Transmit Sequence of Cognitive Radar

Xinyu Zhang, Weidong Jiang, Xiangfeng Qiu +1

Optimization of slow-time transmit sequence endows cognitive radar with the ability to suppress strong clutter in the range-Doppler domain. However, in practice, inaccurate target…

eess.IV2024★ 22 cited

LDSF: Lightweight Dual-Stream Framework for SAR Target Recognition by Coupling Local Electromagnetic Scattering Features and Global Visual Features

Xuying Xiong, Xinyu Zhang, Weidong Jiang +1

Mainstream DNN-based SAR-ATR methods still face issues such as easy overfitting of a few training data, high computational overhead, and poor interpretability of the black-box mode…

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