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Mengting Zhou

Biographic Data

ID7286042
NAMEMengting Zhou
GIVEN NAMESMengting
FAMILY NAMEZhou
SIGNATUREZHOU M
AFFILIATIONSChengdu University of Traditional Chinese Medicine
ORCID0000-0002-2707-4902
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Informative Nodes Mining for Class-Imbalanced Representation Learning

    Open Access•Mengting Zhou, Zhiguo Gong•ARTICLE•IEEE Transactions on Computational…•2025

    Online social networks often enforce a restricted web interface to allow third part users to access their data objects in one-by-one manner along links. The heavy cost of collecting data from them makes it very difficult to train a graph neural networks (GNNs) algorithm by using valuable data resources from those social network services. In this article, we endeavor to harness the potential of collected data in order to cultivate robust node repr…

  • Generalized Few-Shot Node Classification With Graph Knowledge Distillation

    Open Access•Jialong Wang, Mengting Zhou et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Generalized few-shot node classification (GFS-NC) is a very important challenge for graph-based algorithms, as it requires to identify novel classes and base classes simultaneously. Although there are several methods that try to combine metalearning or metric learning with graph neural networks to solve few-shot problem, most of them assume that test samples only come from the novel classes, which is impractical in reality. Besides, they overlook…

  • Based on regional heterogeneity

    Open Access•Qianwen SONG, Anyu Ye et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Hospital service efficiency is a vital indicator of the effectiveness of a country's healthcare system. If regional heterogeneity is ignored in measuring the efficiency of health services, erroneous judgments may result. Methods: This study utilized the Meta-Frontier Slack-Based Measure (SBM) model to evaluate the efficiency of hospital services across various Chinese provinces from 2009 to 2022. Efficiency comparisons were made using…

  • Effect of national policies on the researchers’ interests in Mainland China

    Open Access•Zhenhua Chao, Shengfang Hou et al.•ARTICLE•SN Social Sciences•2023

  • Forsythiae Fructuse extracts alleviates LPS-induced acute lung injury in mice by regulating PPAR-γ/RXR-α in lungs and colons

    Open Access•Jing Wang, Lin Luo et al.•ARTICLE•Journal of Ethnopharmacology•2022

  • Phillygenin inhibits LPS-induced activation and inflammation of LX2 cells by TLR4/MyD88/NF-κB signaling pathway

    Open Access•Naihua Hu, Cheng Wang et al.•ARTICLE•Journal of Ethnopharmacology•2020

No prominent works on this page.

  • Phillygenin inhibits LPS-induced activation and inflammation of LX2 cells by TLR4/MyD88/NF-κB signaling pathway

    Open Access•Naihua Hu, Cheng Wang et al.•ARTICLE•Journal of Ethnopharmacology•2020

  • Forsythiae Fructuse extracts alleviates LPS-induced acute lung injury in mice by regulating PPAR-γ/RXR-α in lungs and colons

    Open Access•Jing Wang, Lin Luo et al.•ARTICLE•Journal of Ethnopharmacology•2022

  • Effect of national policies on the researchers’ interests in Mainland China

    Open Access•Zhenhua Chao, Shengfang Hou et al.•ARTICLE•SN Social Sciences•2023

  • Informative Nodes Mining for Class-Imbalanced Representation Learning

    Open Access•Mengting Zhou, Zhiguo Gong•ARTICLE•IEEE Transactions on Computational…•2025

    Online social networks often enforce a restricted web interface to allow third part users to access their data objects in one-by-one manner along links. The heavy cost of collecting data from them makes it very difficult to train a graph neural networks (GNNs) algorithm by using valuable data resources from those social network services. In this article, we endeavor to harness the potential of collected data in order to cultivate robust node repr…

  • Generalized Few-Shot Node Classification With Graph Knowledge Distillation

    Open Access•Jialong Wang, Mengting Zhou et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Generalized few-shot node classification (GFS-NC) is a very important challenge for graph-based algorithms, as it requires to identify novel classes and base classes simultaneously. Although there are several methods that try to combine metalearning or metric learning with graph neural networks to solve few-shot problem, most of them assume that test samples only come from the novel classes, which is impractical in reality. Besides, they overlook…

  • Based on regional heterogeneity

    Open Access•Qianwen SONG, Anyu Ye et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Hospital service efficiency is a vital indicator of the effectiveness of a country's healthcare system. If regional heterogeneity is ignored in measuring the efficiency of health services, erroneous judgments may result. Methods: This study utilized the Meta-Frontier Slack-Based Measure (SBM) model to evaluate the efficiency of hospital services across various Chinese provinces from 2009 to 2022. Efficiency comparisons were made using…

Computer Science (3 works) · Medicine (3 works) · Artificial Intelligence (2 works) · Biology (2 works) · Chemistry (2 works) · Data mining (2 works) · Engineering (2 works) · Geography (2 works) · Political science (2 works) · Advanced Technologies in Various Fields (1 work)

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