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researcher

Yun Cheng

5 papers hereh-index 453 citations10 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
same name
  • Yun Cheng — 8 papers, h 6
  • Yun Cheng — 8 papers, h 7
  • Yun Cheng — 7 papers, h 6
  • Yun Cheng — 6 papers, h 2
  • Yun Cheng — 3 papers, h 10
  • Yun Cheng — 2 papers, h 2

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
20242026
most citedLF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition

2 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild

Anqi Lu, Yun Cheng, Youbing Hu +3

The demand for unmanned aerial vehicle (UAV)-based image acquisition and analysis has surged, with UAVs increasingly utilized for semantic segmentation tasks. To meet the real-time…

cs.CV2025

SAC-ViT: Semantic-Aware Clustering Vision Transformer with Early Exit

Youbing Hu, Yun Cheng, Anqi Lu +2

The Vision Transformer (ViT) excels in global modeling but faces deployment challenges on resource-constrained devices due to the quadratic computational complexity of its attentio…

cs.CV2025

FocusDD: Real-World Scene Infusion for Robust Dataset Distillation

Youbing Hu, Yun Cheng, Olga Saukh +4

Dataset distillation has emerged as a strategy to compress real-world datasets for efficient training. However, it struggles with large-scale and high-resolution datasets, limiting…

cs.CV2024★ 2 cited

LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition

Youbing Hu, Yun Cheng, Anqi Lu +4

The Vision Transformer (ViT) excels in accuracy when handling high-resolution images, yet it confronts the challenge of significant spatial redundancy, leading to increased computa…

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