Dr Ruizhe Li
Dr Ruizhe Li
BEng, PhD
Lecturer
- About
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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 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: Natural Language Processing/Generation, Dialogue Systems, Deep Latent Variable Models, Reinforcement Learning, Knowledge Graphs, Explainable AI.
I am looking for highly motivated PhD students interested in NLP, RL and ML. Please contact me for any enquiries.
Latest Publications
Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition
Contributions to Conferences: Other Contributions- [ONLINE] DOI: https://doi.org/10.48550/ARXIV.2302.11362
On the Latent Holes of VAEs for Text Generation
Contributions to Conferences: Oral Presentations- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2110.03318
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/18658/1/2110.03318v1.pdf
Affective Decoding for Empathetic Response Generation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] View publication in Scopus
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
Contributions to Conferences: Oral PresentationsDGST: A dual-generator network for text style transfer
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] View publication in Scopus
- Research
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Research Overview
- Dialogue Systems
- Deep Latent Variable Models
- Reinforcement Learning
- Graph-based Models
- Explainable AI
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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Teaching Responsibilities
JC1001 Python Programming Foundation
JC1503 Object-Oriented Programming
- Publications
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Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition
Contributions to Conferences: Other Contributions- [ONLINE] DOI: https://doi.org/10.48550/ARXIV.2302.11362
On the Latent Holes of VAEs for Text Generation
Contributions to Conferences: Oral Presentations- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2110.03318
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/18658/1/2110.03318v1.pdf
Affective Decoding for Empathetic Response Generation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] View publication in Scopus
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
Contributions to Conferences: Oral PresentationsDGST: A dual-generator network for text style transfer
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] View publication in Scopus
A Stable Variational Autoencoder for Text Modelling
Contributions to Conferences: Oral PresentationsABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] http://www.aclweb.org/anthology/S18-1169
- [ONLINE] View publication in Scopus
