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Shan Yang

6 papers hereh-index 567 citations14 works total

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

author position
  • sole author1
  • middle author3
  • last author1

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.SD2
  • cs.IR1
  • eess.AS1
same name
  • Shan Yang — 14 papers, h 25
  • Shan Yang — 8 papers, h 11
  • Shan Yang — 6 papers, h 3
  • Shan Yang — 6 papers, h 3
  • Shan Yang — 6 papers, h 2
  • Shan Yang — 4 papers, h 1

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 citedCovo-Audio Technical Report

1 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

MFTF: Mask-free Training-free Object Level Layout Control Diffusion Model

Shan Yang

Text-to-image generation models have revolutionized content creation, but diffusion-based vision-language models still face challenges in precisely controlling the shape, appearanc…

cs.IR2024★ 1 cited

Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting

Siyi Liu, Yang Li, Jiang Li +2

Recent research in zero-shot Relation Extraction (RE) has focused on using Large Language Models (LLMs) due to their impressive zero-shot capabilities. However, current methods oft…

cs.SD2024

TokSing: Singing Voice Synthesis based on Discrete Tokens

Yuning Wu, Chunlei zhang, Jiatong Shi +3

Recent advancements in speech synthesis witness significant benefits by leveraging discrete tokens extracted from self-supervised learning (SSL) models. Discrete tokens offer highe…

cs.CV2024

Towards Artwork Explanation in Large-scale Vision Language Models

Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito +2

Large-scale Vision-Language Models (LVLMs) output text from images and instructions, demonstrating capabilities in text generation and comprehension. However, it has not been clari…

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