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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 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025

SeqBench: Benchmarking Sequential Narrative Generation in Text-to-Video Models

Zhengxu Tang, Zizheng Wang, Luning Wang +8

Text-to-video (T2V) generation models have made significant progress in creating visually appealing videos. However, they struggle with generating coherent sequential narratives th…

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.