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Xuegong Zhang

4 papers hereh-index 8283 citations25 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
  • q-bio.QM2
  • cs.AI1
  • cs.CV1
same name
  • Xuegong Zhang — 2 papers, h 49
  • Xuegong Zhang — 2 papers, h 4
  • Xuegong Zhang — 1 paper
  • Xuegong Zhang — 1 paper, h 15

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 citedscDiffusion: conditional generation of high-quality single-cell data using diffusion model

3 citations · 3 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2025

DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?

Tianhong Zhou, Yin Xu, Yingtao Zhu +4

Vision-language models (VLMs) exhibit strong zero-shot generalization on natural images and show early promise in interpretable medical image analysis. However, existing benchmarks…

cs.AI2025

Benchmarking AI scientists for omics data driven biological discovery

Erpai Luo, Jinmeng Jia, Yifan Xiong +6

Recent advances in large language models have enabled the emergence of AI scientists that aim to autonomously analyze biological data and assist scientific discovery. Despite rapid…

q-bio.QM2024

Querying structural and functional niches on spatial transcriptomics data

Mo Chen, Minsheng Hao, Xinquan Liu +8

Cells in multicellular organisms coordinate to form structural and functional niches. With spatial transcriptomics (ST) enabling gene expression profiling in spatial contexts, it h…

q-bio.QM2024★ 3 cited

scDiffusion: conditional generation of high-quality single-cell data using diffusion model

Erpai Luo, Minsheng Hao, Lei Wei +1

Single-cell RNA sequencing (scRNA-seq) data are important for studying the laws of life at single-cell level. However, it is still challenging to obtain enough high-quality scRNA-s…

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