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Xiaoqing Liu

4 papers hereh-index 17867 citations29 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.AI1
  • cs.CV1
same name
  • Xiaoqing Liu — 5 papers, h 2
  • Xiaoqing Liu — 4 papers, h 8
  • Xiaoqing Liu — 4 papers
  • Xiaoqing Liu — 3 papers
  • Xiaoqing Liu — 3 papers, h 1
  • Xiaoqing Liu — 3 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
20202022
most citedIdentification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System

24 citations · 28 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 1 cited

Compound Domain Generalization via Meta-Knowledge Encoding

Chaoqi Chen, Jiongcheng Li, Xiaoguang Han +2

Domain generalization (DG) aims to improve the generalization performance for an unseen target domain by using the knowledge of multiple seen source domains. Mainstream DG methods…

cs.AI2021★ 24 cited

Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System

Gang Yu, Zhongzhi Yu, Yemin Shi +7

Respiratory diseases, including asthma, bronchitis, pneumonia, and upper respiratory tract infection (RTI), are among the most common diseases in clinics. The similarities among th…

eess.IV2021★ 2 cited

A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation

Jie Lian, Jingyu Liu, Shu Zhang +4

Instance level detection and segmentation of thoracic diseases or abnormalities are crucial for automatic diagnosis in chest X-ray images. Leveraging on constant structure and dise…

eess.IV2020★ 1 cited

Adaptive noise imitation for image denoising

Huangxing Lin, Yihong Zhuang, Yue Huang +4

The effectiveness of existing denoising algorithms typically relies on accurate pre-defined noise statistics or plenty of paired data, which limits their practicality. In this work…

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