Zhenyu Wu
Zhenyu Wu
Ph.D. Candidate in Computer Science
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
- Data Stream Clustering: An In-depth Empirical StudyProceedings of the ACM on Management of Data, 2023My 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