Zhenyu Wu

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Zhenyu Wu

Ph.D. Candidate in Computer Science

University of Manchester zhenyu.wu@manchester.ac.uk
Research focus LLMs, Structured Data & Ontology Schema/Taxonomy Inference Data Discovery and Exploration

About

I am a Ph.D. candidate in Computer Science at the University of Manchester, supervised by Prof. Norman Paton and Dr. Jiaoyan Chen. My research focuses on LLM-based methods for structured-data understanding, schema and taxonomy inference, and data discovery and exploration.

Selected Publications

  1. Schema Inference for Tabular Data Repositories Using Large Language Models
    Zhenyu Wu, Jiaoyan Chen, and Norman W. Paton
    The VLDB Journal, 2026
    Accepted
  2. Taxonomy Inference for Tabular Data Using Large Language Models
    Zhenyu Wu, Jiaoyan Chen, and Norman W. Paton
    In The Semantic Web – ESWC 2025, 2025
  3. Dataset Discovery and Exploration: A Survey
    Norman W. Paton, Jiaoyan Chen, and Zhenyu Wu
    ACM Computing Surveys, 2024
  4. Data Stream Clustering: An In-depth Empirical Study
    Xin Wang, Zhengru Wang, Zhenyu Wu, Shuhao Zhang, Xuanhua Shi, and Li Lu
    Proceedings of the ACM on Management of Data, 2023
    My code contributions to Sesame are recorded under my previous GitHub account, @GabrielWuNR.

Teaching & Service

Academic Service

  • Program Committee Member, ISWC Poster, Demo & Lightning Talk Track
  • Reviewer, Transactions on Graph Data and Knowledge (TGDK)

Teaching Assistant, University of Manchester

  • 2026: COMP63502 - Data Engineering Technologies
  • 2025: COMP23111 - Database Systems; DATA70141 - Understanding Databases
  • 2023: COMP60711 - Data Engineering
  • 2022-2023: COMP62421 - Querying Data on the Web; COMP38311 - Advanced Distributed Systems