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Transfer Urban Human Mobility via POI Embedding over Multiple Cities., , , , , , , and . Trans. Data Sci., 2 (1): 4:1-4:26 (2021)Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System., , , , , , , and . ACM Trans. Intell. Syst. Technol., 13 (2): 21:1-21:24 (2022)DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract)., , , , , , , , and . ICDE, page 1519-1520. IEEE, (2022)Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster., , , , , , , and . WWW, page 2655-2665. ACM, (2023)DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction., , , , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (1): 276-290 (2023)Spatio-Temporal Meta-Graph Learning for Traffic Forecasting., , , , , , , , and . CoRR, (2022)DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events., , , , , , , , and . KDD, page 2114-2122. ACM, (2019)Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19., , , , , , , , , and . ECML/PKDD (4), volume 12978 of Lecture Notes in Computer Science, page 319-334. Springer, (2021)MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation., , , , , , , and . CIKM, page 193-202. ACM, (2023)Geo-Foundation Models: Reality, Gaps and Opportunities., , , , , , and . SIGSPATIAL/GIS, page 66:1-66:4. ACM, (2023)