People

Dr Ruizhe Li

Dr Ruizhe Li
Dr Ruizhe Li
Dr Ruizhe Li

BEng, PhD, FHEA

Lecturer

Accepting PhDs

About
Email Address
ruizhe.li@abdn.ac.uk
School/Department
School of Natural and Computing Sciences
Personal Website
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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) group, the 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.

Qualifications

  • Fellow of HEA 
    2025 - University of Aberdeen 

Internal Memberships

SCNU JI Outreach Officer

Latest Publications

  • Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation

    Li, R., Chen, C., Hu, Y., Gao, Y., Wang, X., Yilmaz, E.
    Contributions to Conferences: Papers

  • DFWe: Efficient Knowledge Distillation of Fine-tuned Whisper Encoder for Speech Emotion Recognition

    Ma, Y., Jiang, X., Sang, J., Li, R.
    Pattern Recognition
    Contributions to Journals: Articles

  • Behind the Scenes: Mechanistic Interpretability of LoRA-adapted Whisper for Speech Emotion Recognition

    Ma, Y., Lu, X., Sang, J., Jiang, X., Li, R.
    Contributions to Conferences: Papers

  • FADERec: Fine-Grained Attribute Distillation Enhanced by Collaborative Fusion for LLM-Based Recommendation

    Xu, M., Li, R., Deng, H., Zeng, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework

    Wu, J., Wu, Z., Li, R., Chen, T., Hasan, A., Kim, Y., Cheung, J. P., Zhang, T., Wu, H.
    Contributions to Conferences: Papers

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.

Computing Science

  • Supervising
  • Accepting PhDs
View Research Area

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

Courses

Publications

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