4 papers
MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity (Extension)
Zhichen Lai, Hua Lu, Huan Li +2
Trajectory similarity computation is fundamental functionality that is used for, e.g., clustering, prediction, and anomaly detection. However, existing learning-based methods exhib…
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
Yuxuan Yang, Dalin Zhang, Yuxuan Liang +3
Time Series Forecasting (TSF) is a crucial task in various domains, yet existing TSF models rely heavily on high-quality data and insufficiently exploit all available data. This pa…
Skeleton-Guided Learning for Shortest Path Search
Tiantian Liu, Xiao Li, Huan Li +3
Shortest path search is a core operation in graph-based applications, yet existing methods face important limitations. Classical algorithms such as Dijkstra's and A* become ineffic…
Modeling and Monitoring of Indoor Populations using Sparse Positioning Data (Extension)
Xiao Li, Huan Li, Hua Lu +1
In large venues like shopping malls and airports, knowledge on the indoor populations fuels applications such as business analytics, venue management, and safety control. In this w…