Xi Niu

Xi Niu is an Associate Professor at the College of Computing and Informatics, University of North Carolina at Charlotte. His research focuses on data and text analytics, knowledge discovery, search behavior, and interactive information retrieval with a strong emphasis on computational serendipity and cybersecurity applications.

His work bridges theoretical advancements with practical applications, particularly in developing machine learning models for cross-domain recommendations, improving user experience through serendipity enhancement, and automating cybersecurity threat analysis. Notable contributions include frameworks for modeling user curiosity in recommender systems and methodologies for contradiction detection in text.

Recent research trends show a focus on leveraging deep learning techniques for extreme multi-label classification, contrastive learning in recommendation systems, and integrating topological analysis for understanding complex text patterns. His work also explores human-centered design principles in crowdsourcing and active learning systems.