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Yiyang Huang

Northeastern University

5 papers hereh-index 222 citations8 works total

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

author position
  • first author4
  • middle author1

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

fields
  • cs.CV4
  • cs.LG1
affiliations
  • Northeastern University
HomepageORCID 0009-0006-4091-6007
same name
  • Yiyang Huang — 6 papers, h 4
  • Yiyang Huang — 3 papers
  • Yiyang Huang — 3 papers, h 1
  • Yiyang Huang — 3 papers, h 2
  • Yiyang Huang — 1 paper

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
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Beyond Atomic Layouts: Compositional Design Understanding with Vision-Language Models

Yiyang Huang, Zhaowen Wang, Simon Jenni +4

Layout understanding, or the interpretation of element organization, is essential for document analysis, user interface (UI) creation, and graphic design. While recent vision-langu…

cs.CV2026

Distorted or Fabricated? A Survey on Hallucination in Video LLMs

Yiyang Huang, Yitian Zhang, Yizhou Wang +4

Despite significant progress in video-language modeling, hallucinations remain a persistent challenge in Video Large Language Models (Vid-LLMs), referring to outputs that appear pl…

cs.CV2025

D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition

Yiyang Huang, Yizhou Wang, Yun Fu

Video large language models (Vid-LLMs), which excel in diverse video-language tasks, can be effectively constructed by adapting image-pretrained vision-language models (VLMs). Howe…

cs.CV2025

SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense

Yiyang Huang, Liang Shi, Yitian Zhang +2

Large Vision-Language Models (LVLMs) excel in diverse cross-modal tasks. However, object hallucination, where models produce plausible but inaccurate object descriptions, remains a…

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