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Human Mobility-based Individual-level Epidemic Simulation Platform.

, , , , , , , and . ACM Trans. Spatial Algorithms Syst., 8 (3): 1-16 (September 2022)

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Decentralized Attention-based Personalized Human Mobility Prediction., , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3 (4): 133:1-133:26 (2019)DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction., , , , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (1): 276-290 (2023)EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control., , , , , , and . CoRR, (2020)Spatio-Temporal Meta-Graph Learning for Traffic Forecasting., , , , , , , , and . CoRR, (2022)Data-driven hospital personnel scheduling optimization through patients prediction., , , , , , and . CCF Trans. Pervasive Comput. Interact., 3 (1): 40-56 (2021)Deep Multiple Instance Learning for Human Trajectory Identification., , , , , and . SIGSPATIAL/GIS, page 512-515. ACM, (2019)Learning Latent Road Correlations from Trajectories., , , , , and . IEEE Big Data, page 5458-5467. IEEE, (2022)Trajectory fingerprint: one-shot human trajectory identification using Siamese network., , , , , and . CCF Trans. Pervasive Comput. Interact., 2 (2): 113-125 (2020)Human mobility based individual-level epidemic simulation platform., , , , , , , and . ACM SIGSPATIAL Special, 12 (1): 34-40 (2020)Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka., , , , , , , , and . IEEE Big Data, page 6676-6677. IEEE, (2022)