Fanglan Chen

Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives
Memetic algorithms for Spatial Partitioning problems
Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
Sampling-based techniques for designing school boundaries
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
Geospatial clustering for balanced and proximal schools
Graph convolutional networks with kalman filtering for traffic prediction
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems
Towards more accurate uncertainty estimation in text classification
REGAL: A Regionalization framework for school boundaries

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