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Chuang Huang

Biographic Data

ID8356989
NAMEChuang Huang
GIVEN NAMESChuang
FAMILY NAMEHuang
SIGNATUREHUANG C
AFFILIATIONSFujian Normal University
ORCID0000-0001-7873-8978
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Ampelopsis grossedentata alleviates vascular cognitive impairment in BCAS mice by regulating Vegfa/KDR/FGFR1-mediated angiogenesis and GSK3β/Bcl-2/Bax-mediated mitochondrial apoptosis

    Liyun Wu, Jingxian Huang et al.•ARTICLE•Journal of Ethnopharmacology•2026

  • Large Language Model Embedding for Cold-Start Item Recommendation via Data Augmentation and Regularization

    Open Access•Kangyi Xie, Ayong Ye et al.•ARTICLE•IEEE Transactions on Computational…•2026

    The cold-start problem constitutes a persistent challenge in recommender systems (RecSys). Recent advances in large language model (LLM) for natural language processing have inspired researchers to utilize their semantic understanding and knowledge extraction capabilities in recommendation tasks. LLM shows clear advantages in addressing cold-start items. However, current methods often rely on direct online LLM inference. This approach causes high…

No prominent works on this page.

  • Ampelopsis grossedentata alleviates vascular cognitive impairment in BCAS mice by regulating Vegfa/KDR/FGFR1-mediated angiogenesis and GSK3β/Bcl-2/Bax-mediated mitochondrial apoptosis

    Liyun Wu, Jingxian Huang et al.•ARTICLE•Journal of Ethnopharmacology•2026

  • Large Language Model Embedding for Cold-Start Item Recommendation via Data Augmentation and Regularization

    Open Access•Kangyi Xie, Ayong Ye et al.•ARTICLE•IEEE Transactions on Computational…•2026

    The cold-start problem constitutes a persistent challenge in recommender systems (RecSys). Recent advances in large language model (LLM) for natural language processing have inspired researchers to utilize their semantic understanding and knowledge extraction capabilities in recommendation tasks. LLM shows clear advantages in addressing cold-start items. However, current methods often rely on direct online LLM inference. This approach causes high…

Ampelopsis grossedentata (1 work) · Angiogenesis (1 work) · Barrier Structure and Function Studies (1 work) · Bcl-2/Bax (1 work) · Data modeling (1 work) · Deep learning (1 work) · Embedding (1 work) · GSK3β (1 work) · Language model (1 work) · Medicinal Plants and Neuroprotection (1 work)

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