Jianguo Lu

Jianguo Lu is a Professor at the University of Windsor's School of Computer Science within the Faculty of Science. His research spans deep web technologies, graph mining, and large-scale data analysis, with applications in academic knowledge graphs and social networks.

Research interests include deep learning architectures for text and graph data, sampling algorithms for efficient network analysis, and machine learning models for online social behavior. His recent work explores LLM capabilities in molecular understanding and network embedding regularization.

Publications demonstrate a focus on graph-based methods for drug repurposing, academic influence measurement, and graph sampling techniques. Trends show increasing emphasis on LLM applications, knowledge graph completion, and scalable algorithms for web data.

No awards, students, grants, or lab affiliations are documented in the source materials.