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EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control., , , , , , и . IEEE Trans. Vis. Comput. Graph., 29 (8): 3586-3601 (августа 2023)Metropolitan-scale Mobility Digital Twin., , и . WSDM, стр. 1301-1302. ACM, (2023)TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic., , , , , , , и . CoRR, (2024)Domain Adversarial Graph Convolutional Network Based on RSSI and Crowdsensing for Indoor Localization., , , и . IEEE Internet Things J., 10 (15): 13662-13672 (августа 2023)Generative Personalized Federated Learning Framework for Travel Time Estimation., , и . SenSys, стр. 825-826. ACM, (2022)DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract)., , , , , , , , и . ICDE, стр. 1519-1520. IEEE, (2022)DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction., , , , , , , и . SIGSPATIAL/GIS, стр. 283-292. ACM, (2020)Online trajectory prediction for metropolitan scale mobility digital twin., , , , , , и . SIGSPATIAL/GIS, стр. 103:1-103:12. ACM, (2022)Exploring intercity regional similarity using worldwide location-based social network data (demo paper)., , , , , и . SIGSPATIAL/GIS, стр. 104:1-104:4. ACM, (2022)Discovering Key Sub-Trajectories to Explain Traffic Prediction., , , , и . Sensors, 23 (1): 130 (2023)