Erwen Zheng

Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning

A core step of mining human mobility data is to learn accurate representations for user-generated check-in sequences. The learned representations should be able to fully describe the spatial-temporal mobility patterns of users and the high-level semantics of traveling. However, existing check-in seq…