MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-Based Tensor Nuclear Norm
Traffic sensors fail, and the gaps they leave distort everything computed downstream. This work recovers the missing readings by treating the network as a tensor over space and time, and modelling the structure that survives across all three modes at once.
Supervised a PhD student's project as corresponding author.