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Xiao Xiang Zhu

4 papers hereh-index 8370 citations14 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV3
  • 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 4
  • 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 citedNeural Plasticity-Inspired Multimodal Foundation Model for Earth Observation

21 citations · 23 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2025

ExEBench: Benchmarking Foundation Models on Extreme Earth Events

Shan Zhao, Zhitong Xiong, Jie Zhao +1

Our planet is facing increasingly frequent extreme events, which pose major risks to human lives and ecosystems. Recent advances in machine learning (ML), especially with foundatio…

cs.CV2025

REOBench: Benchmarking Robustness of Earth Observation Foundation Models

Xiang Li, Yong Tao, Siyuan Zhang +7

Earth observation foundation models have shown strong generalization across multiple Earth observation tasks, but their robustness under real-world perturbations remains underexplo…

cs.CV2024★ 2 cited

UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mapping

Jie Zhao, Zhitong Xiong, Xiao Xiang Zhu

Due to its cloud-penetrating capability and independence from solar illumination, satellite Synthetic Aperture Radar (SAR) is the preferred data source for large-scale flood mappin…

cs.CV2024★ 21 cited

Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation

Zhitong Xiong, Yi Wang, Fahong Zhang +7

Earth observation (EO) in open-world settings presents a unique challenge: different applications rely on diverse sensor modalities, each with varying ground sampling distances, sp…

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