Spatiotemporal Analysis

Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile

This paper is awarded with IEEE CASE 2020 Best Conference Paper Award

Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction

Low-rank tensor decomposition and completion have attracted significant interest from academia given the ubiquity of tensor data. However, the low-rank structure is a global property, which will not be fulfilled when the data presents complex and …

Discussion of 'A novel approach to the analysis of spatial and functional data over complex domains'

The dependency structure of complex data is always a challenge in formulating and yielding accurate estimates. Dr Laura M. Sangalli’s paper offers a well-developed method to formulate the boundary spatial dependency by using the PDE regularization …