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researcher

Xiao Wang

17 papers hereh-index 7132 citations16 works total

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

author position
  • middle author12
  • last author2

Across the 14 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.LG4
  • cs.CE1
  • cs.MM1
same name
  • Xiao Wang — 71 papers, h 66
  • Xiao Wang — 31 papers, h 35
  • Xiao Wang — 25 papers, h 18
  • Xiao Wang — 21 papers, h 6
  • Xiao Wang — 20 papers, h 38
  • Xiao Wang — 15 papers, h 23

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 citedDescribe Anything in Medical Images

2 citations · 3 across the 9 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Less Tokens, Better Forecasts: Sparse Residual Routing for Efficient Weather Prediction

Janet Wang, Yunbei Zhang, Lin Zhao +3

Existing ViT-based weather forecasting models apply uniform computation across all spatial tokens, even though nearby atmospheric grid points often contain similar values and large…

cs.LG2025

CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models

Zhuxuanzi Wang, Mingqiao Mo, Xi Xiao +6

Parameter-efficient fine-tuning (PEFT) has become the standard approach for adapting large language models under limited compute and memory budgets. Although previous methods impro…

cs.LG2025

MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding

Yuxiang Wei, Yanteng Zhang, Xi Xiao +3

Decoding visual experiences from fMRI offers a powerful avenue to understand human perception and develop advanced brain-computer interfaces. However, current progress often priori…

cs.LG2025

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement

Chenrui Ma, Xi Xiao, Tianyang Wang +2

While deep generative models have significantly advanced representation learning, they may inherit or amplify biases and fairness issues by encoding sensitive attributes alongside…

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