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Chenwei Wu

11 papers hereh-index 232 citations11 works total

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

author position
  • first author1
  • middle author8
  • last author1

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV3
  • cs.CL2
  • cs.AI1
same name
  • Chenwei Wu — 10 papers, h 9
  • Chenwei Wu — 4 papers, h 10
  • Chenwei Wu — 1 paper, h 0
  • Chenwei Wu — 1 paper, h 2
  • Chenwei Wu — 1 paper, h 2

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

works on
biomedical classification 1mixture of experts 1multimodal fusion 1risk-aware routing 1uncertainty estimation 1

From the 1 of 11 linked papers with an AI index.

activity
20242026
most citedMedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation

2 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.LG2024

Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity

Zitao Shuai, Chenwei Wu, Zhengxu Tang +1

Vision-language pre-training (VLP) has emerged as an effective scheme for multimodal representation learning, but its reliance on large-scale multimodal data poses significant chal…

cs.CV2024

Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing

Zitao Shuai, Chenwei Wu, Zhengxu Tang +2

Diffusion Transformers (DiTs) have recently achieved remarkable success in text-guided image generation. In image editing, DiTs project text and image inputs to a joint latent spac…

cs.CV2024

Latent Space Disentanglement in Diffusion Transformers Enables Zero-shot Fine-grained Semantic Editing

Zitao Shuai, Chenwei Wu, Zhengxu Tang +2

Diffusion Transformers (DiTs) have achieved remarkable success in diverse and high-quality text-to-image(T2I) generation. However, how text and image latents individually and joint…

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