About
Lemei Zhang is a Postdoctoral Fellow at the Norwegian University of Science and Technology (NTNU) in the Department of Computer Technology and Informatics. Their work focuses on advanced machine learning techniques for recommendation systems and social media analysis.
Research interests include
- Deep learning architectures for news recommendation
- Aspect-based sentiment analysis in multilingual contexts
- Temporal and graph embedding methods for social recommendation
- Contextual augmentation in session-based systems
- Time series modeling for user interest prediction
- Creation of large-scale datasets like Adressa for media analytics
Recent publications demonstrate a trajectory from foundational work on news recommendation datasets (2016-2017) to increasingly sophisticated neural approaches incorporating attention mechanisms, multimodal fusion, and real-time graph analysis across ACM Transactions, Machine Learning, and Human-Computer Studies venues.
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