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Yuxuan Liang

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• CoST: Semantic-Aware Urban Understanding via Spatial-Temporal Alignment
• Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models
• FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts