Dr. Pan Li is an Assistant Professor at Purdue University. Dr. Li works on a broad range of problems regarding structured data processing, particularly graph and network data. His research mainly focuses on connecting theory and practice by developing principled algorithms to process structured data, pumping up their computational efficiency, and digging out new applications. Specifically, his recent research results included spectral theory and scalable algorithms for higher-order graphs, theory and new applications for graph neural networks, and scalable ranking algorithms for large-scale recommender systems.
Research Manuscript
Embedded Systems
Embedded System Design Methodologies
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