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researcher

Xirong Li

Renmin University of China

34 papers hereh-index 396.8k citations140 works total

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

author position
  • sole author1
  • first author5
  • middle author22
  • last author6

Across the 34 of 34 papers where every author was matched, so the position is known.

fields
  • cs.CV19
  • eess.IV6
  • cs.CL2
  • cs.CR2
  • cs.IR2
  • cs.HC1
affiliations
  • Renmin University of China
Homepage
same name
  • Xirong Li — 45 papers, h 23
  • Xirong Li — 2 papers, h 3
  • Xirong Li — 1 paper, h 0

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
20142022
most citedDeep Text Classification Can be Fooled

400 citations · 2.1k across the 33 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 5 cited

Imagination Based Sample Construction for Zero-Shot Learning

Gang Yang, Jinlu Liu, Xirong Li

Zero-shot learning (ZSL) which aims to recognize unseen classes with no labeled training sample, efficiently tackles the problem of missing labeled data in image retrieval. Nowaday…

cs.CV2018★ 7 cited

Dual Encoding for Zero-Example Video Retrieval

Jianfeng Dong, Xirong Li, Chaoxi Xu +4

This paper attacks the challenging problem of zero-example video retrieval. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described in n…

cs.SI2018★ 74 cited

Automatic Rumor Detection on Microblogs: A Survey

Juan Cao, Junbo Guo, Xirong Li +3

The ever-increasing amount of multimedia content on modern social media platforms are valuable in many applications. While the openness and convenience features of social media als…

cs.CL2018★ 14 cited

COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval

Xirong Li, Chaoxi Xu, Xiaoxu Wang +4

This paper contributes to cross-lingual image annotation and retrieval in terms of data and baseline methods. We propose COCO-CN, a novel dataset enriching MS-COCO with manually wr…

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