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Yang Zhang

12 papers hereh-index 8216 citations14 works total

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

author position
  • first author6
  • middle author5

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG4
  • cs.CL2
  • cs.CR1
  • cs.MM1
same name
  • Yang Zhang — 50 papers, h 15
  • Yang Zhang — 37 papers, h 19
  • Yang Zhang — 36 papers, h 18
  • Yang Zhang — 35 papers, h 85
  • Yang Zhang — 28 papers, h 42
  • Yang Zhang — 24 papers, h 11

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 citedEnhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models

2 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

CrystaL: Spontaneous Emergence of Visual Latents in MLLMs

Yang Zhang, Danyang Li, Yuxuan Li +4

Multimodal Large Language Models (MLLMs) have achieved remarkable performance by integrating powerful language backbones with large-scale visual encoders. Among these, latent Chain…

cs.CV2025

Unconsciously Forget: Mitigating Memorization; Without Knowing What is being Memorized

Er Jin, Yang Zhang, Yongli Mou +4

Recent advances in generative models have demonstrated an exceptional ability to produce highly realistic images. However, previous studies show that generated images often resembl…

cs.CV2024

Learnable Sparsity for Vision Generative Models

Yang Zhang, Er Jin, Wenzhong Liang +5

Diffusion models have achieved impressive advancements in various vision tasks. However, these gains often rely on increasing model size, which escalates computational complexity a…

cs.CV2024★ 2 cited

Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models

Yang Zhang, Teoh Tze Tzun, Lim Wei Hern +2

Recent advancements in diffusion models have notably improved the perceptual quality of generated images in text-to-image synthesis tasks. However, diffusion models often struggle…

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