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Yubin Wang

4 papers hereh-index 210 citations14 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.AI1
  • cs.MM1
same name
  • Yubin Wang — 5 papers, h 1
  • Yubin Wang — 5 papers, h 4
  • Yubin Wang — 4 papers, h 1
  • Yubin Wang — 3 papers, h 6
  • Yubin Wang — 3 papers, h 3
  • Yubin Wang — 1 paper, h 16

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

4 papers

cs.CV2026

Sparse Evidence Can Suffice: Agentic Evidence Seeking for Multimodal Video Misinformation Detection

Haochen Zhao, Yongxiu Xu, Xinkui Lin +6

Multimodal video misinformation detection is commonly formulated as a holistic video-understanding task, where the entire video and its associated content are processed and judged…

cs.AI2026

Does Unification Come at a Cost? Uni-SafeBench: A Safety Benchmark for Unified Multimodal Large Models

Zixiang Peng, Yongxiu Xu, Qin-Yi Zhang +7

Unified Multimodal Large Models (UMLMs) integrate understanding and generation capabilities within a single architecture. While unified architectures expand multimodal capabilities…

cs.CV2026

MMSD3.0: A Multi-Image Benchmark for Real-World Multimodal Sarcasm Detection

Haochen Zhao, Yuyao Kong, Yongxiu Xu +4

Despite progress in multimodal sarcasm detection, existing datasets and methods predominantly focus on single-image scenarios, overlooking potential semantic and affective relation…

cs.MM2025

REMOTE: A Unified Multimodal Relation Extraction Framework with Multilevel Optimal Transport and Mixture-of-Experts

Xinkui Lin, Yongxiu Xu, Minghao Tang +4

Multimodal relation extraction (MRE) is a crucial task in the fields of Knowledge Graph and Multimedia, playing a pivotal role in multimodal knowledge graph construction. However,…

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