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researcher

Yunhao Liu

4 papers here

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

author position
  • first author1
  • middle author1
  • last author1

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

fields
  • cs.AI2
  • cs.CV1
  • eess.IV1
same name
  • Yunhao Liu — 10 papers
  • Yunhao Liu — 6 papers, h 84
  • Yunhao Liu — 3 papers
  • Yunhao Liu — 3 papers
  • Yunhao Liu — 2 papers
  • Yunhao Liu — 2 papers, 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
20242026
most citedTaming a Retrieval Framework to Read Images in Humanlike Manner for Augmenting Generation of MLLMs

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2026

Reasoning with Autoregressive-Diffusion Collaborative Thoughts

Mu Yuan, Liekang Zeng, Guoliang Xing +2

Autoregressive and diffusion models represent two complementary generative paradigms. Autoregressive models excel at sequential planning and constraint composition, yet struggle wi…

cs.CV2025★ 1 cited

Taming a Retrieval Framework to Read Images in Humanlike Manner for Augmenting Generation of MLLMs

Suyang Xi, Chenxi Yang, Hong Ding +4

Multimodal large language models (MLLMs) often fail in fine-grained visual question answering, producing hallucinations about object identities, positions, and relations because te…

eess.IV2025

Multimodal Medical Image Binding via Shared Text Embeddings

Yunhao Liu, Suyang Xi, Shiqi Liu +6

Medical image analysis increasingly relies on the integration of multiple imaging modalities to capture complementary anatomical and functional information, enabling more accurate…

cs.AI2024

Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in Autonomous Driving

Liu Yunhao, Ding Hong, Zhang Ziming +3

Autonomous driving technology has seen significant advancements, but existing models often fail to fully capture the complexity of multi-agent environments, where interactions betw…

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