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Shao-Xuan Gu

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Conference Open access Sep 2026

Towards Efficient and Effective Unimodal Trajectory Representation Learning: A Simple Yet Powerful Approach

Trajectory representation learning transforms trajectory data into low-dimensional embeddings for downstream analytics. Although trajectory data inherently contains rich spatiotemporal information that remains to be more deeply explored, recent approaches have increasingly favored integrating external multimodal inform...

Shao-Xuan Gu, Xing-Yu Zhao, Dong-Liang Chen et al. · 0 citations
#edge computing Oct 2026

Fast Trajectory Similarity Computation over Road networks

With the widespread application of trajectory data in areas such as traffic management and route planning, efficiently computing trajectory similarity for fast retrieval has become a critical challenge. Existing methods for trajectory similarity measurement often face issues of low computational efficiency and poor sca...

Shao-Xuan Gu, Hui Zhang, Lei Li et al. · 0 citations

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