122 citations · 124 across the 4 of their papers we have counts for
4 papers
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints
Liming Zhang, Liang Zhao, Dieter Pfoser
Trajectory data generation is an important domain that characterizes the generative process of mobility data. Traditional methods heavily rely on predefined heuristics and distribu…
Taking the pulse of COVID-19: A spatiotemporal perspective
Chaowei Yang, Dexuan Sha, Qian Liu +32
The sudden outbreak of the Coronavirus disease (COVID-19) swept across the world in early 2020, triggering the lockdowns of several billion people across many countries, including…
Station-to-User Transfer Learning: Towards Explainable User Clustering Through Latent Trip Signatures Using Tidal-Regularized Non-Negative Matrix Factorization
Liming Zhang, Andreas Züfle, Dieter Pfoser
Urban areas provide us with a treasure trove of available data capturing almost every aspect of a population's life. This work focuses on mobility data and how it will help improve…
ReHub. Extending Hub Labels for Reverse k-Nearest Neighbor Queries on Large-Scale networks
Alexandros Efentakis, Dieter Pfoser
Quite recently, the algorithmic community has focused on solving multiple shortest-path query problems beyond simple vertex-to-vertex queries, especially in the context of road net…