Zheng Yuan
Scholar

Zheng Yuan

Google Scholar ID: 7B4GHsMAAAAJ
Associate Professor, University of Sheffield; Visiting Researcher, University of Cambridge
NLPEdTechEducational NLPCALL
Citations & Impact
All-time
Citations
1,464
 
H-index
17
 
i10-index
23
 
Publications
20
 
Co-authors
61
list available
Resume (English only)
Academic Achievements
  • Area Chair for ACL, EMNLP (since 2022)
  • Editorial Board Member for PeerJ Computer Science (since 2022)
  • Treasurer of ACL SIGEDU (since 2021)
  • Member of the ACL Professional Conduct Committee (since 2021)
  • Regular Programme Committee Member for ACL, NAACL, EACL, EMNLP, COLING, AIED, etc.
  • Reviewer for journals including TACL, Computational Linguistics, IEEE TASLP, and others
  • Co-organiser of multiple international workshops and tutorials (e.g., BEA at ACL 2025, AIED 2025 tutorial)
  • Fellow of ASEFClassNet18 Faculty Collaboration (2025–)
  • Fellow of the Higher Education Academy (FHEA, 2024–)
  • Member of King's Institute for Artificial Intelligence (2023–)
  • Member of AGI Odyssey Executive Committee (2023–)
Research Experience
  • Former Assistant Professor in the Department of Informatics at King's College London
  • Former Research Associate in the Department of Computer Science and Technology at the University of Cambridge
  • Currently Associate Professor (Senior Lecturer) at the University of Sheffield
  • Affiliated with The Alan Turing Institute, contributing to the Data-Centric Engineering Programme
  • Holds affiliated staff positions at the University of Cambridge and King's College London
Background
  • Associate Professor (Senior Lecturer) in the School of Computer Science at the University of Sheffield
  • Research focuses on machine learning and deep learning for natural language processing (NLP)
  • Applications span education, healthcare, creativity, social media, and finance
  • Works on a wide range of NLP tasks including grammatical error correction, automated assessment, summarisation, machine translation, information extraction, text classification, sentiment analysis, and emotion detection
  • Current projects include computer-assisted language learning (CALL), human-centered NLP in educational settings, computational models of code-switching, and creative AI