BEng, PhD
Lecturer
- About
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- Email Address
- ruizhe.li@abdn.ac.uk
- School/Department
- School of Natural and Computing Sciences
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 and the Machine Learning (ML) group. He was a postdoc research fellow in the Web Intelligence Group, affiliated with the Centre for Artificial Intelligence in the University College London (UCL). He received his PhD from the Department of Computer Science in the University of Sheffield. He completed his bachelor degree BEng Electronic Information & Engineering in the Shanghai University, China.
Research Interests: Multimodality LLMs, Knowledge Graphs, LLMs Reasoning, Explainable LLMs.
I am looking for highly motivated PhD students interested in NLP, RL and ML. Please contact me for any enquiries.
Latest Publications
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators
Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2402.06894
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/22841/1/2402.06894v1.pdf
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2402.05457
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/22863/1/2402.05457v1.pdf
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2401.10446
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/22864/1/2401.10446v1.pdf
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction
Working Papers: Preprint Papers- [ONLINE] http://arxiv.org/pdf/2308.14321v1
- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2308.14321
Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.24963/ijcai.2023/564
- [ONLINE] View publication in Scopus
- 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.
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.
- Teaching
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- Publications
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Page 1 of 2 Results 1 to 10 of 20
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators
Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2402.06894
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/22841/1/2402.06894v1.pdf
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2402.05457
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/22863/1/2402.05457v1.pdf
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2401.10446
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/22864/1/2401.10446v1.pdf
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction
Working Papers: Preprint Papers- [ONLINE] http://arxiv.org/pdf/2308.14321v1
- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2308.14321
Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.24963/ijcai.2023/564
- [ONLINE] View publication in Scopus
Noise-aware Speech Enhancement using Diffusion Probabilistic Model
Working Papers: Preprint Papers- [ONLINE] http://arxiv.org/abs/2307.08029v1
- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2307.08029
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/21469/1/2307.08029v1.pdf
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsMIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsGradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/ICASSP49357.2023.10096615
Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition
Working Papers: Preprint Papers
