معرفی
Xiao Li is a Lecturer (equivalent to Assistant Professor) in the Department of Computer Science within the School of Natural and Computing Sciences at the University of Aberdeen. Holding a PhD in Computer Science and an MSc in Artificial Intelligence, Dr. Li is actively engaged in research and teaching, with a focus on AI and machine learning applications.
Research Interests:
- Artificial Intelligence and Machine Learning
- Natural Language Processing and Generation
- Time series analysis in domains like language, music, and finance
- Computational metaphor processing and text modeling
- Ultrasound image classification and health claim analysis
Dr. Li's recent publications (2017–2025) demonstrate a consistent focus on enhancing AI models, particularly variational autoencoders and attention mechanisms, for natural language tasks and multimodal data. The research spans theoretical improvements in latent space manipulation and practical applications in health, dialogue systems, and metaphor cognition in AI vs. humans.
Scientific Awards:
- No awards listed in the provided text.
Advising and Grants:
Dr. Li is currently accepting PhD students in Computing Science and encourages prospective candidates to reach out with research ideas. While no specific grants or funded projects are mentioned, the consistent publication record suggests active research engagement. There is no explicit mention of students supervised, but advising is implied through PhD recruitment.
Labs and Teams:
- No specific lab or research team name is mentioned in the text.
- Collaborations are evident with researchers such as Mao, R., Cambria, E., Lin, C., and Van Deemter, K.
