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Pan Li

Assistant Professor in Computer Science


Joined department: Fall 2020

Education

Ph.D. , UIUC, Electrical and Computer Engineering (2019)
Postdoc, Stanford University, Computer Science (2020)

Professor 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.

Selected Publications

Pan Li and Olgica Milenkovic, "Inhomogoenous Hypergraph Clustering with Applications," NeurIPS 2017.

Pan Li, Niao He and Olgica Milenkovic, "Quadratic Decomposable Submodular Function Minimization: Theory and Practice", JMLR 2020.

Pan Li, Zhen Qin, Xuanhui Wang and Donald Metzler, "Combining Decision Trees and Neural Networks for Learning to Rank in Personal Search," KDD 2019.

Last Updated: Dec 4, 2020 1:55 PM

Department of Computer Science, 305 N. University Street, West Lafayette, IN 47907

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