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Zhiqiang Hu

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • q-bio.GN1
ORCID 0000-0001-8854-3410
same name
  • Zhiqiang Hu — 13 papers, h 8
  • Zhiqiang Hu — 7 papers
  • Zhiqiang Hu — 6 papers, h 6
  • Zhiqiang Hu — 5 papers, h 2
  • Zhiqiang Hu — 5 papers, h 2
  • Zhiqiang Hu — 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
20172022
most citedCAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods

63 citations · 121 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.GN2022★ 63 cited

CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods

The Critical Assessment of Genome Interpretation Consortium

The Critical Assessment of Genome Interpretation (CAGI) aims to advance the state of the art for computational prediction of genetic variant impact, particularly those relevant to…

cs.LG2021★ 8 cited

Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction

Guofeng Lv, Zhiqiang Hu, Yanguang Bi +1

The study of multi-type Protein-Protein Interaction (PPI) is fundamental for understanding biological processes from a systematic perspective and revealing disease mechanisms. Exis…

cs.CV2017★ 50 cited

Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks

Jia Ding, Aoxue Li, Zhiqiang Hu +1

Early detection of pulmonary cancer is the most promising way to enhance a patient's chance for survival. Accurate pulmonary nodule detection in computed tomography (CT) images is…

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