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Xiaohan Yu

Biographic Data

ID7273936
NAMEXiaohan Yu
GIVEN NAMESXiaohan
FAMILY NAMEYu
SIGNATUREYU X
AFFILIATIONSNorth China University of Science and Technology
ORCID0009-0008-9931-4662
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • PBDD

    Open Access•Rui Wang, Heyang Feng et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Automated detection of depressive moods from social media holds great promise for early mental health intervention, yet existing multimodal approaches typically require large quantities of annotated data and extensive feature engineering, impeding their deployment in real‐world settings where labels are scarce. To address this challenge, we propose prompt‐based depression detection (PBDD), a novel prompt‐based few‐shot learning framework that lev…

  • Bie Jia Jian pill ameliorates BDL-induced cholestatic hepatic fibrosis in rats by regulating intestinal microbial composition and TMAO-mediated PI3K/AKT signaling pathway

    Open Access•Xiaoyan Cui, Ronghua Zhang et al.•ARTICLE•Journal of Ethnopharmacology•2025

  • Mental representations of recently learned nested environments

    Open Access•Yao Wang, Xiaohan Yu et al.•ARTICLE•Psychological Research•2021

No prominent works on this page.

  • Mental representations of recently learned nested environments

    Open Access•Yao Wang, Xiaohan Yu et al.•ARTICLE•Psychological Research•2021

  • Bie Jia Jian pill ameliorates BDL-induced cholestatic hepatic fibrosis in rats by regulating intestinal microbial composition and TMAO-mediated PI3K/AKT signaling pathway

    Open Access•Xiaoyan Cui, Ronghua Zhang et al.•ARTICLE•Journal of Ethnopharmacology•2025

  • PBDD

    Open Access•Rui Wang, Heyang Feng et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Automated detection of depressive moods from social media holds great promise for early mental health intervention, yet existing multimodal approaches typically require large quantities of annotated data and extensive feature engineering, impeding their deployment in real‐world settings where labels are scarce. To address this challenge, we propose prompt‐based depression detection (PBDD), a novel prompt‐based few‐shot learning framework that lev…

Augmented Reality Applications (1 work) · Biochemistry (1 work) · Chemistry (1 work) · Cognitive science (1 work) · Cognitive Science and Mapping (1 work) · Computer Science (1 work) · Deep learning (1 work) · Digital Mental Health Interventions (1 work) · Drug Transport and Resistance Mechanisms (1 work) · Endocrinology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae