Research

Publications

Papers

- Michael Greenbaum, Ke Fan, Wajid Manzoor, and Guimu Guo. "GPU-Accelerated Maximal Quasi-Clique Mining". Dec 8, 2025. In 2025 IEEE International Conference on Big Data (BigData), pp. 152-161.

Posters

- Michael Greenbaum, Ke Fan, Sidhartha Kumar, Guimu Guo. "Accelerating Maximal Quasi-Clique Mining using GPUs". 2024. In SURP Research Symposium 2024.

- Michael Greenbaum, Collin Meeker, Spencer Lee, Guimu Guo. "Accelerating Maximal Quasi-Clique Mining using the GPU". 2023. In CSM Student Research Day.

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Academic Reviews

External

- External Reviewer under Guimu Guo. 2023. In The 26th Pacific-Asian Conference on Knowledge Discovery and Data Mining (PAKDD).

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Projects

GPU-Accelerated Clique Mining | cuQC

The first GPU-accelerated maximal quasi-clique mining algorithm. This program can accelerates enumeration by up to 3,992x compared to the CPU algorithm. Developed by the High-Performance Data Mining Lab at Rowan University and external researchers.

Project Manager: Michael Greenbaum

Members: Ke Fan, Wajid Manzoor, and Guimu Guo

GitHub: Mike12041204 - cuQC