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Xuyang Li

9 papers hereh-index 101.1k citations32 works total

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

author position
  • first author4
  • middle author4
  • last author1

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

fields
  • cs.CV8
  • cs.CE1
same name
  • Xuyang Li — 7 papers, h 1
  • Xuyang Li — 5 papers, h 16
  • Xuyang Li — 3 papers, h 25
  • Xuyang Li — 2 papers, h 2
  • Xuyang Li — 1 paper, h 2
  • Xuyang Li — 1 paper, h 0

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
20232026
most citedSpectralGPT: Spectral Remote Sensing Foundation Model

838 citations · 850 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CE2026

Generative modeling of granular flow on inclined planes using conditional flow matching

Xuyang Li, Rui Li, Teng Man +1

Granular flows govern many natural and industrial processes, yet their interior kinematics and mechanics remain largely unobservable, as experiments access only boundaries or free…

cs.CV2026

CLIP-Guided Data Augmentation for Night-Time Image Dehazing

Xining Ge, Weijun Yuan, Gengjia Chang +2

Nighttime image dehazing faces a more complex degradation pattern than its daytime counterpart, as haze scattering couples with low illumination, non-uniform lighting, and strong l…

cs.CV2026★ 8 cited

Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality

Danfeng Hong, Chenyu Li, Xuyang Li +2

Remote sensing (RS) techniques are increasingly crucial for deepening our understanding of the planet. As the volume and diversity of RS data continue to grow exponentially, there…

cs.CV2026

STARS: Shared-specific Translation and Alignment for missing-modality Remote Sensing Semantic Segmentation

Tong Wang, Xiaodong Zhang, Guanzhou Chen +7

Multimodal remote sensing technology significantly enhances the understanding of surface semantics by integrating heterogeneous data such as optical images, Synthetic Aperture Rada…

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