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Yanhua Cheng

4 papers hereh-index 329 citations5 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV3
  • cs.IR1
same name
  • Yanhua Cheng — 11 papers, h 4
  • Yanhua Cheng — 2 papers, h 11
  • Yanhua Cheng — 1 paper
  • Yanhua Cheng — 1 paper, h 2

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

most citedKnowledge Condensation and Reasoning for Knowledge-based VQA

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2026

Recommendation as Generation: Unifying Personalized Video Generation and Recommendation at Industrial Scale

Yanhua Cheng, Bo Wang, Haotian Zhang +17

Traditional short-video recommendation systems match user interest to a fixed pool of pre-produced videos, which limits their ability to capture fine-grained and dynamic preference…

cs.CV2024

Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy

Te Yang, Jian Jia, Xiangyu Zhu +9

Large Language Models (LLMs) have strong instruction-following capability to interpret and execute tasks as directed by human commands. Multimodal Large Language Models (MLLMs) hav…

cs.CV2024★ 2 cited

Knowledge Condensation and Reasoning for Knowledge-based VQA

Dongze Hao, Jian Jia, Longteng Guo +8

Knowledge-based visual question answering (KB-VQA) is a challenging task, which requires the model to leverage external knowledge for comprehending and answering questions grounded…

cs.CV2024★ 1 cited

Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning

Kaibin Tian, Yanhua Cheng, Yi Liu +3

In recent years, text-to-video retrieval methods based on CLIP have experienced rapid development. The primary direction of evolution is to exploit the much wider gamut of visual a…

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