معرفی
Hangfeng He is an Assistant Professor of Computer Science and Data Science at the University of Rochester, affiliated with the Hajim School of Engineering & Applied Sciences. He holds a PhD from the University of Pennsylvania and focuses on machine learning and natural language processing. His research emphasizes incidental supervision for natural language understanding, interpretability of deep neural networks, and reasoning in natural language.
Education:
- PhD in Computer Science from University of Pennsylvania
Research Interests:
- Machine Learning (especially deep learning theory, generalization, and optimization)
- Natural Language Processing (incidental supervision, language understanding, and multimodal reasoning)
- Reasoning (inductive biases, temporal data analysis, and model interpretability)
Research Trends: His work spans foundational AI research and applied NLP, with recent focus on large language models, multimodal systems, and constraint-aware methods. He explores how models generalize from limited supervision and mitigate biases in real-world data. Key themes include improving model robustness, understanding inductive mechanisms, and applying AI to financial and social text analysis.
Labs/Teams: While specific lab affiliations aren’t listed, his work aligns with the Department of Computer Science’s research clusters in AI, machine learning, and data science.
