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Peng Qi

Institute of Computing Technology, Chinese Academy of Sciences

7 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 author3

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.MM4
  • cs.CV2
  • cs.IR1
affiliations
  • Institute of Computing Technology, Chinese Academy of Sciences
same name
  • Peng Qi — 15 papers, h 19
  • Peng Qi — 5 papers, h 5
  • Peng Qi — 2 papers
  • Peng Qi — 2 papers
  • Peng Qi — 2 papers, h 3
  • Peng Qi — 2 papers

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 · 126 across the 4 of their papers we have counts for

collaborators
Showing cs.MMShow all

4 papers · 1 filter

cs.MM2022★ 6 cited

FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms

Peng Qi, Yuyan Bu, Juan Cao +5

Short video platforms have become an important channel for news sharing, but also a new breeding ground for fake news. To mitigate this problem, research of fake news video detecti…

cs.MM2021★ 119 cited

Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues

Peng Qi, Juan Cao, Xirong Li +7

Recently, fake news with text and images have achieved more effective diffusion than text-only fake news, raising a severe issue of multimodal fake news detection. Current studies…

cs.MM2019

False News Detection on Social Media

Juan Cao, Qiang Sheng, Peng Qi +3

Social media has become a major information platform where people consume and share news. However, it has also enabled the wide dissemination of false news, i.e., news posts publis…

cs.MM2019

Exploiting Multi-domain Visual Information for Fake News Detection

Peng Qi, Juan Cao, Tianyun Yang +2

The increasing popularity of social media promotes the proliferation of fake news. With the development of multimedia technology, fake news attempts to utilize multimedia contents…

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