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Shi-Xing Zhou

Biographic Data

ID10056539
NAMEShi-Xing Zhou
GIVEN NAMESShi-Xing
FAMILY NAMEZhou
SIGNATUREZHOU S
AFFILIATIONSZhejiang University of Technology
ORCID0009-0000-9211-6809
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Knowledge-Aware Prompt-Tuning for Integrated Conversational Recommender System

    Open Access•Xu-Hua Yang, Ming-Wu Liu et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Conversational recommender systems (CRSs) aim to mine user preferences and recommend appropriate items through natural language dialogue. A complete CRS typically consists of a recommendation module and a conversation module, which generate high-quality recommended items and fluent natural language responses, respectively. Existing research usually constructs and trains the two modules separately, leading to inconsistencies in input information a…

No prominent works on this page.

  • Knowledge-Aware Prompt-Tuning for Integrated Conversational Recommender System

    Open Access•Xu-Hua Yang, Ming-Wu Liu et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Conversational recommender systems (CRSs) aim to mine user preferences and recommend appropriate items through natural language dialogue. A complete CRS typically consists of a recommendation module and a conversation module, which generate high-quality recommended items and fluent natural language responses, respectively. Existing research usually constructs and trains the two modules separately, leading to inconsistencies in input information a…

Advanced Text Analysis Techniques (1 work) · Conversation (1 work) · Dialog system (1 work) · Encoder (1 work) · Graph (1 work) · Natural language (1 work) · Natural language understanding (1 work) · Recommender system (1 work) · Recommender Systems and Techniques (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