Yue Feng

Yue Feng is an Assistant Professor in the Department of Computer Science, affiliated with the Institute for Interdisciplinary Data Science and AI. Her research focuses on cutting-edge NLP challenges including bias analysis in language models, multilingual systems, and emotion detection technologies.

Research Interests:
Her work spans natural language processing with emphasis on:

• Developing fairness metrics for agglutinative languages like Filipino
• Cross-lingual emotion recognition systems
• Bias attribution methodologies in language models
• Practical applications for low-resource languages
• Adapter-based transfer learning techniques

Research Trends:
Recent publications (2025) demonstrate strong focus on: NLP fairness evaluation frameworks, multilingual model adaptation for emotion detection, and fact-checking systems using in-context learning. Her work consistently addresses UN Sustainable Development Goals through ethical AI development.

Collaborations:
Active in international NLP research communities including SemEval competitions and GeBNLP workshops. Collaborates with researchers on cross-cultural NLP challenges and multilingual system development.