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Han Zhang

5 papers hereh-index 117 citations5 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.CL1
  • cs.LG1
same name
  • Han Zhang — 11 papers, h 4
  • Han Zhang — 10 papers, h 6
  • Han Zhang — 8 papers, h 5
  • Han Zhang — 7 papers, h 4
  • Han Zhang — 7 papers, h 3
  • Han Zhang — 6 papers, h 3

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

collaborators

5 papers

cs.LG2026

Image Diffusion Preview with Consistency Solver

Fu-Yun Wang, Hao Zhou, Liangzhe Yuan +8

The slow inference process of image diffusion models significantly degrades interactive user experiences. To address this, we introduce Diffusion Preview, a novel paradigm employin…

cs.CV2026

Hallucination-aware intermediate representation edit in large vision-language models

Wei Suo, Hanzu Zhang, Lijun Zhang +3

Large Vision-Language Models have demonstrated exceptional performance in multimodal reasoning and complex scene understanding. However, these models still face significant halluci…

cs.CL2026

KAT-Coder-V2 Technical Report

Fengxiang Li, Han Zhang, Haoyang Huang +43

We present KAT-Coder-V2, an agentic coding model developed by the KwaiKAT team at Kuaishou. KAT-Coder-V2 adopts a "Specialize-then-Unify" paradigm that decomposes agentic coding in…

cs.CV2026

Color When It Counts: Grayscale-Guided Online Triggering for Always-On Streaming Video Sensing

Weitong Cai, Hang Zhang, Yukai Huang +5

Always-on sensing is essential for next-generation edge/wearable AI systems, yet continuous high-fidelity RGB video capture remains prohibitively expensive for resource-constrained…

cs.CV2025

Epsilon-VAE: Denoising as Visual Decoding

Long Zhao, Sanghyun Woo, Ziyu Wan +6

In generative modeling, tokenization simplifies complex data into compact, structured representations, creating a more efficient, learnable space. For high-dimensional visual data,…

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