In December 2024, our team published a paper at the IEEE Big Data 2024 conference: Hazelwood, D. J., D. Joshi, A. Samal, and L.-K. Soh (2024). Discovering Localized Drivers of Unrest Events using Clustering and XGBoost, Proceedings of the IEEE Conference on Big Data (IEEE Big Data 2024), December 15-18, Washington, DC, pp. 2958-2966.
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With former PhD student and former post-doctoral researcher Yi Liu, we publish a new journal paper “Integrating Textual and Visual Features to Generate Pseudo-Groundtruth for Enhancing Training of Machine Learning Models in Document Image Classification” at the Journal of Electronic Imaging. Our team has a paper accepted at UAI’2025. Congratulations to the team with Dr. Doshi’s group at University of Georgia and Dr. Eck’s group at Oberlin College, and the research students Daniel (U. Georgia) and Ceferino (U. Nebraska)! “MOHITO: Multi-Agent Reinforcement Learning Using Hypergraphs for Task-Open Systems” |
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