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Chao Xue

Biographic Data

ID8084607
NAMEChao Xue
GIVEN NAMESChao
FAMILY NAMEXue
SIGNATUREXUE C
AFFILIATIONSChina Mobile (China)
ORCID0000-0002-9408-3876
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Latent Profile Analysis of Cumulative Stress and Protective Factors in Junior High School Students’ Problematic Internet Use

    Open Access•Xintong Zheng, Xue Chao et al.•ARTICLE•International Journal of Mental…•2025

  • High prevalence of subjective cognitive decline in older Chinese adults

    Open Access•Chao Xue, Juan Li et al.•ARTICLE•Frontiers in Public Health•2023

  • The Complex Trial Protocol based on self-referential encoding

    Xiaohong Deng, Ting Li et al.•ARTICLE•Acta Psychologica Sinica•2021

    The concealed information test (CIT) is a lie detection method, which can determine if a criminal suspect knows the crime-related information and then infer whether the suspect is guilty. The CIT has high internal validity but it is easy to misjudge an innocent person who knows the crime-related information as a guilty one. Therefore, it is necessary to improve CIT's detection accuracy for the guilty and the knowledgeable innocent persons. The co…

  • Social Group Recommendation With TrAdaBoost

    Open Access•Zhenhua Huang, Juan Ni et al.•ARTICLE•IEEE Transactions on Computational…•2020

    In recent years, group recommendation has become a research hotspot and focus in online social network community. Currently, several deep-learning-based approaches are leveraged to learn preferences of groups for items and predict the next items in which groups may be interested. Yet, their recommendation performance is still unsatisfactory due to the sparse group-item interactions. In order to address this problem, in this article, we introduce …

No prominent works on this page.

  • Social Group Recommendation With TrAdaBoost

    Open Access•Zhenhua Huang, Juan Ni et al.•ARTICLE•IEEE Transactions on Computational…•2020

    In recent years, group recommendation has become a research hotspot and focus in online social network community. Currently, several deep-learning-based approaches are leveraged to learn preferences of groups for items and predict the next items in which groups may be interested. Yet, their recommendation performance is still unsatisfactory due to the sparse group-item interactions. In order to address this problem, in this article, we introduce …

  • The Complex Trial Protocol based on self-referential encoding

    Xiaohong Deng, Ting Li et al.•ARTICLE•Acta Psychologica Sinica•2021

    The concealed information test (CIT) is a lie detection method, which can determine if a criminal suspect knows the crime-related information and then infer whether the suspect is guilty. The CIT has high internal validity but it is easy to misjudge an innocent person who knows the crime-related information as a guilty one. Therefore, it is necessary to improve CIT's detection accuracy for the guilty and the knowledgeable innocent persons. The co…

  • High prevalence of subjective cognitive decline in older Chinese adults

    Open Access•Chao Xue, Juan Li et al.•ARTICLE•Frontiers in Public Health•2023

  • Latent Profile Analysis of Cumulative Stress and Protective Factors in Junior High School Students’ Problematic Internet Use

    Open Access•Xintong Zheng, Xue Chao et al.•ARTICLE•International Journal of Mental…•2025

Psychology (3 works) · Computer Science (2 works) · Medicine (2 works) · Advanced Graph Neural Networks (1 work) · Adversarial Robustness in Machine Learning (1 work) · Artificial Intelligence (1 work) · Bullying, Victimization, and Aggression (1 work) · Child Development and Digital Technology (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work)

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