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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 2021Show all

3 papers · 1 filter

cs.CV2021★ 239 cited

GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection

Haoyuan Chen, Chen Li, Ge Wang +9

In this paper, a multi-scale visual transformer model, referred as GasHis-Transformer, is proposed for Gastric Histopathological Image Detection (GHID), which enables the automatic…

cs.CV2021★ 10 cited

A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches

Chen Li, Xintong Li, Md Rahaman +8

With the development of computer-aided diagnosis (CAD) and image scanning technology, Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis. There…

eess.IV2021★ 322 cited

DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques

Md Mamunur Rahaman, Chen Li, Yudong Yao +4

Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular screening to detect any precancerous lesions at early stages and treat them. Pap smea…

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