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Xiao Xiang Zhu

4 papers hereh-index 4149 citations11 works total

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
  • cs.CV2
  • cs.AI1
  • cs.LG1
same name
  • Xiao Xiang Zhu — 22 papers, h 33
  • Xiao Xiang Zhu — 10 papers, h 6
  • Xiao Xiang Zhu — 5 papers, h 3
  • Xiao Xiang Zhu — 4 papers, h 8
  • Xiao Xiang Zhu — 3 papers, h 1
  • Xiao Xiang Zhu — 3 papers, h 3

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 citedOn the Foundations of Earth and Climate Foundation Models

16 citations · 16 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Enhancing Monocular Height Estimation via Weak Supervision from Imperfect Labels

Sining Chen, Yilei Shi, Xiao Xiang Zhu

Monocular height estimation provides an efficient and cost-effective solution for three-dimensional perception in remote sensing. However, training deep neural networks for this ta…

cs.CV2025

Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing

Fahong Zhang, Yilei Shi, Xiao Xiang Zhu

This paper addresses the challenge of mapping polygonal buildings from remote sensing images and introduces a novel algorithm, the Global Collinearity-aware Polygonizer (GCP). GCP,…

cs.LG2024

How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning

Yuanyuan Wang, Qian Song, Dawood Wasif +4

Uncertainty quantification (UQ) is essential for assessing the reliability of Earth observation (EO) products. However, the extensive use of machine learning models in EO introduce…

cs.AI2024★ 16 cited

On the Foundations of Earth and Climate Foundation Models

Xiao Xiang Zhu, Zhitong Xiong, Yi Wang +7

Foundation models have enormous potential in advancing Earth and climate sciences, however, current approaches may not be optimal as they focus on a few basic features of a desirab…

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