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Chenhui Wang

15 papers hereh-index 6217 citations21 works total

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

author position
  • first author3
  • middle author11

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • eess.IV6
  • cs.AI1
  • cs.SD1
same name
  • Chenhui Wang — 4 papers, h 2
  • Chenhui Wang — 3 papers, h 4
  • Chenhui Wang — 2 papers, h 3
  • Chenhui Wang — 1 paper, h 2
  • Chenhui Wang — 1 paper, h 1
  • Chenhui Wang — 1 paper, h 9

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

activity
20232026
most citedHiDiff: Hybrid Diffusion Framework for Medical Image Segmentation

59 citations · 130 across the 15 of their papers we have counts for

collaborators
Showing 2026 · cs.CVShow all

4 papers · 2 filters

cs.CV2026

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction

Yujie Wei, Chenglong Ma, Jianxiong Gao +6

Reconstructing dynamic visual experiences as videos from functional magnetic resonance imaging (fMRI) is pivotal for advancing the understanding of neural processes. However, curre…

cs.CV2026

Brain-WM: Brain Glioblastoma World Model

Chenhui Wang, Boyun Zheng, Liuxin Bao +4

Precise prognostic modeling of glioblastoma (GBM) under varying treatment interventions is essential for optimizing clinical outcomes. While generative AI has shown promise in simu…

cs.CV2026

UniField: A Unified Field-Aware MRI Enhancement Framework

Yiyang Lin, Chenhui Wang, Zhihao Peng +1

Magnetic Resonance Imaging (MRI) field-strength enhancement holds immense value for both clinical diagnostics and advanced research. However, existing methods typically focus on is…

cs.CV2026

Dynamic Differential Linear Attention: Enhancing Linear Diffusion Transformer for High-Quality Image Generation

Boyuan Cao, Xingbo Yao, Chenhui Wang +3

Diffusion transformers (DiTs) have emerged as a powerful architecture for high-fidelity image generation, yet the quadratic cost of self-attention poses a major scalability bottlen…

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