Deep learning for trajectory data management and mining: A survey and beyond
Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …
mining, garnering widespread attention due to its crucial role in various practical …
LightTR: A Lightweight Framework for Federated Trajectory Recovery
With the proliferation of GPS-equipped edge devices, huge trajectory data is generated and
accumulated in various domains, motivating a variety of urban applications. Due to the …
accumulated in various domains, motivating a variety of urban applications. Due to the …
Resisting tul attack: balancing data privacy and utility on trajectory via collaborative adversarial learning
Nowadays, large-scale individual trajectories can be collected by various location-based
social network services, which enables us to better understand human mobility patterns …
social network services, which enables us to better understand human mobility patterns …
User re-identification via human mobility trajectories with siamese transformer networks
B Wang, M Zhang, P Ding, T Yang, Y Jin, Y Xu - Applied Intelligence, 2024 - Springer
People are keen to share their geospatial locations to access social activities or services via
mobile internet, which provides a new perspective for us to understand human mobility …
mobile internet, which provides a new perspective for us to understand human mobility …
SAMLink: a mobility signature augmentation model for trajectory-user linking
Trajectory-user linking (TUL) aims to link trajectories to users who generate them, based on
the historical trajectories of a set of users (eg, social media users or drivers). It is a …
the historical trajectories of a set of users (eg, social media users or drivers). It is a …
Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning
The rapid growth of location-based services (LBS) has yielded massive amounts of data on
human mobility. Effectively extracting meaningful representations for user-generated check …
human mobility. Effectively extracting meaningful representations for user-generated check …
Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks
Trajectory-User Linking (TUL) is crucial for human mobility modeling by linking different
trajectories to users with the exploration of complex mobility patterns. Existing works mainly …
trajectories to users with the exploration of complex mobility patterns. Existing works mainly …