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Chang Tan

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titleconferencedate
HERMAS: A Human Mobility Embedding Framework with Large-scale Cellular Signaling DataUbiComp 20212021-09-21
HERMAS learns city-scale mobility embeddings from a 30-day cellular signaling dataset with 130,612 users and 2,369,267 trajectories, using a two-stage tower…
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MIFF: Human Mobility Extractions with Cellular Signaling Data under Spatio-temporal UncertaintyUbiComp 20212021-09-21
A framework called MIFF fuses cell-tower signaling traces before map matching and uses a confidence DTW (CDTW) similarity to find homogeneous traces from a…
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CellPred: A Behavior-aware Scheme for Cellular Data Usage PredictionUbiComp / ISWC 20202020-09-12
Claims per-user cellular data prediction improves tower-level forecasts by adding behavioral tags from subscription records and mobility/usage signals. Uses a…
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