Lemei Zhang

Lemei Zhang is a Research Fellow at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). Her work focuses on developing advanced recommendation systems, particularly in the context of news and social media analysis. She actively contributes to both academic journals and conferences, with a strong emphasis on machine learning and neural network-based solutions.

Her research interests include but are not limited to recommender systems, session-based recommendations, attention mechanisms, and multimodal data fusion. She has also contributed to the development of benchmark datasets like the Adressa dataset for news recommendation.

Recent publications highlight her exploration of multilingual systems, explainable AI, and real-time social recommendation algorithms. Her work bridges theoretical advancements with practical applications, such as improving content curation in traditional media through AI integration.

In teaching, she instructs the course TDT4215 - Recommender Systems, reflecting her expertise in this domain. She has presented at major conferences including ACM Hypertext, ECML-PKDD, and UMAP, showcasing her commitment to advancing interdisciplinary research.