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Renrui Zhang

Biographic Data

ID10056345
NAMERenrui Zhang
GIVEN NAMESRenrui
FAMILY NAMEZhang
SIGNATUREZHANG R
AFFILIATIONSChinese Academy of Sciences
ORCID0009-0009-5414-7087
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • LLM-Driven Cognitive Modeling for Personalized Travel Generation

    Open Access•Shichao Ge, Peijun Ye et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Traditional cognitive travel modeling typically employs a unified cognitive model to simulate representative travel behaviors, which may usually result in a weak characterization of user heterogeneity in paths, modes, and other factors. Large language model (LLM), by contrast, has significantly enhanced the anthropomorphic and personalized features of intelligent systems. To integrate their advantages, this article proposes LLM-driven cognitive m…

No prominent works on this page.

  • LLM-Driven Cognitive Modeling for Personalized Travel Generation

    Open Access•Shichao Ge, Peijun Ye et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Traditional cognitive travel modeling typically employs a unified cognitive model to simulate representative travel behaviors, which may usually result in a weak characterization of user heterogeneity in paths, modes, and other factors. Large language model (LLM), by contrast, has significantly enhanced the anthropomorphic and personalized features of intelligent systems. To integrate their advantages, this article proposes LLM-driven cognitive m…

Cognition (1 work) · Computer Science (1 work) · Data Management and Algorithms (1 work) · Human–computer interaction (1 work) · Neuroscience (1 work) · Psychology (1 work) · Semantic Web and Ontologies (1 work) · Speech and dialogue systems (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