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Hao Sun

11 papers hereh-index 236 citations16 works total

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

author position
  • first author6
  • middle author4

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.MM2
  • cs.RO2
same name
  • Hao Sun — 58 papers, h 14
  • Hao Sun — 36 papers, h 10
  • Hao Sun — 18 papers, h 8
  • Hao Sun — 15 papers, h 14
  • Hao Sun — 13 papers, h 12
  • Hao Sun — 13 papers, h 4

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 citedMemory-Inspired Temporal Prompt Interaction for Text-Image Classification

1 citations · 2 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024★ 1 cited

One Framework to Rule Them All: Unifying Multimodal Tasks with LLM Neural-Tuning

Hao Sun, Yu Song, Jiaqing Liu +3

Large-scale models have exhibited remarkable capabilities across diverse domains, including automated medical services and intelligent customer support. However, as most large mode…

cs.CV2024

Robust Latent Representation Tuning for Image-text Classification

Hao Sun, Yu Song

Large models have demonstrated exceptional generalization capabilities in computer vision and natural language processing. Recent efforts have focused on enhancing these models wit…

cs.MM2024

Multimodal Infusion Tuning for Large Models

Hao Sun, Yu Song, Xinyao Yu +3

Recent advancements in large-scale models have showcased remarkable generalization capabilities in various tasks. However, integrating multimodal processing into these models prese…

cs.CV2024★ 1 cited

Memory-Inspired Temporal Prompt Interaction for Text-Image Classification

Xinyao Yu, Hao Sun, Ziwei Niu +4

In recent years, large-scale pre-trained multimodal models (LMM) generally emerge to integrate the vision and language modalities, achieving considerable success in various natural…

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