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Peng Qi

Institute of Computing Technology, Chinese Academy of Sciences

9 papers hereh-index 101.8k citations21 works total

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

author position
  • first author3
  • middle author4
  • last author1

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.MM4
  • cs.CV3
  • cs.CL1
  • cs.IR1
affiliations
  • Institute of Computing Technology, Chinese Academy of Sciences
same name
  • Peng Qi — 17 papers, h 19
  • Peng Qi — 6 papers, h 5
  • Peng Qi — 6 papers, h 3
  • Peng Qi — 4 papers, h 2
  • Peng Qi — 2 papers
  • Peng Qi — 2 papers, h 3

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
20192025
most citedImproving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues

119 citations · 127 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025★ 1 cited

Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation

Yuyan Bu, Qiang Sheng, Juan Cao +4

The emergence of fake news on short video platforms has become a new significant societal concern, necessitating automatic video-news-specific detection. Current detectors primaril…

cs.CV2024★ 1 cited

FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process

Yuyan Bu, Qiang Sheng, Juan Cao +3

As short-form video-sharing platforms become a significant channel for news consumption, fake news in short videos has emerged as a serious threat in the online information ecosyst…

cs.CV2022

DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection

Guang Yang, Juan Cao, Qiang Sheng +3

The daily practice of sharing images on social media raises a severe issue about privacy leakage. To address the issue, privacy-leaking image detection is studied recently, with th…

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