Zhou Qin
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| title | conference | date |
|---|---|---|
| HERMAS: A Human Mobility Embedding Framework with Large-scale Cellular Signaling Data | UbiComp 2021 | 2021-09-21 |
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… | ||
| MIMU: Mobile WiFi Usage Inference by Mining Diverse User Behaviors | UbiComp 2021 | 2021-09-21 |
MIMU predicts per-device content demand on bus WiFi to cut carrier data costs by combining a deep learning user dimension model and device dimension model that… | ||
| MIFF: Human Mobility Extractions with Cellular Signaling Data under Spatio-temporal Uncertainty | UbiComp 2021 | 2021-09-21 |
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… | ||
| PrivateBus: Privacy Identification and Protection in Large-Scale Bus WiFi Systems | UbiComp / ISWC 2020 | 2020-09-12 |
Analysis of 20 million connection records and 78 million location records from 770,000 bus WiFi users measures re-identification risk and a defense. A PB-FIND… | ||
| CellPred: A Behavior-aware Scheme for Cellular Data Usage Prediction | UbiComp / ISWC 2020 | 2020-09-12 |
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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