Dr Ruizhe Li

Dr Ruizhe Li
Dr Ruizhe Li
Dr Ruizhe Li

BEng, PhD

Lecturer

Accepting PhDs

About

Biography

Ruizhe Li is a Lecturer (Assistant Professor) at the Aberdeen - South China Normal University (SCNU) Joint Institute in the School of Natural Computing Sciences/Business School, the University of Aberdeen. He is associated with Natural Language Processing (NLP) groupthe Machine Learning (ML) group and Edinburgh clinical NLP group. He was a postdoc research fellow in the Web Intelligence Group, affiliated with the Centre for Artificial Intelligence at University College London (UCL). He received his PhD from the Sheffield NLP group, the Department of Computer Science at the University of Sheffield. He completed his bachelor's degree in BEng Electronic Information & Engineering at Shanghai University, China.

Research Interests: Interpretability of LLMs, Multimodal LLMs

For more details, please visit my personal website: https://www.ruizhe.space/

I am looking for highly motivated PhD students interested in NLP and ML. Please contact me for any enquiries.

Internal Memberships

SCNU JI Outreach Officer

Latest Publications

View My Publications

Prizes and Awards

- Best Poster Award at the 2nd Workshop on Multimodal AI 2024

- ACL 2023 Area Chair Award

- Outstanding Reviewer at EMNLP 2020

- Best Paper Runner-up at INLG 2019

Research

Research Overview

  • Multimodality LLMs
  • Knowledge Graphs
  • LLMs Reasoning
  • Explainable LLMs.

Research Areas

Accepting PhDs

I am currently accepting PhDs in Computing Science.


Please get in touch if you would like to discuss your research ideas further.

Email Me

Computing Science

Supervising
Accepting PhDs

Research Specialisms

  • Artificial Intelligence
  • Natural Language Processing
  • Machine Learning

Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.

Funding and Grants

  • PI, Gemma 2 Academic Program GCP Credit Award, Google, $10,000, 2024-2025
  • PI, Deep-learning-based Modelling of Electromechanical Coupling for Bone Conduction Transducers, The Royal Society International Exchanges 2023 Cost Share (NSFC), £24,000, 2024-2026
Teaching
Publications

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Chapters in Books, Reports and Conference Proceedings

Contributions to Conferences

Contributions to Journals

Working Papers