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You Are How You Move: Linking Multiple User Identities From Massive Mobility Traces.

, , , and . SDM, page 189-197. SIAM, (2018)

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Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment., , , , and . IEEE/ACM Trans. Netw., 25 (2): 1147-1161 (2017)DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data., , , , , , and . WWW, page 459-469. ACM, (2019)A Multi-scale Ensemble Learning Model for Cellular Traffic Prediction., , , , , , , and . GLOBECOM, page 209-214. IEEE, (2022)A multi-FPGA based platform for emulating a 100m-transistor-scale processor with high-speed peripherals (abstract only)., , , , and . FPGA, page 283. ACM, (2010)Virtual machine migration planning in software-defined networks., , , and . INFOCOM, page 487-495. IEEE, (2015)You Are How You Move: Linking Multiple User Identities From Massive Mobility Traces., , , and . SDM, page 189-197. SIAM, (2018)Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment., , , , and . Internet Measurement Conference, page 225-238. ACM, (2015)Attentional Markov Model for Human Mobility Prediction., , , and . IEEE J. Sel. Areas Commun., 39 (7): 2213-2225 (2021)Learning to Simulate Daily Activities via Modeling Dynamic Human Needs., , , , and . WWW, page 906-916. ACM, (2023)Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning., , , , , and . KDD, page 2882-2892. ACM, (2022)