Desheng Zhang
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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… | ||
| CellSense: Human Mobility Recovery via Cellular Network Data Enhancement | UbiComp 2021 | 2021-09-21 |
CellSense recovers missing observations from sparse cellular billing records by combining large-scale collective patterns (mobility graph, route pruning… | ||
| Understanding User Behavior in Car Sharing Services Through The Lens of Mobility: Mixing ... | UbiComp 2021 | 2021-09-21 |
Study combines an 185-participant survey with a year of operational logs covering 68,000 users 587,850 records from Beijing and comparative data from Fuzhou… | ||
| Urban Map Inference by Pervasive Vehicular Sensing Systems with Complementary Mobility | UbiComp 2021 | 2021-09-21 |
coMap infers road geometry and road class from four vehicle fleets (18,000 taxis, 10,000 private cars, 6,000 trucks, 14,000 buses) by weighting GPS points by… | ||
| ALWAES: Automatic Location-Aware Correction System for Online Delivery Platforms | UbiComp 2021 | 2021-09-21 |
ALWAES automatically detects and corrects merchant location errors by mining courier travel times from 10+ million orders, training a distance-estimation… | ||
| 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… | ||
| A City-Wide Crowdsourcing Delivery System with Reinforcement Learning | UbiComp 2021 | 2021-09-21 |
A crowdsourced, public-transport delivery system uses DQN with time-estimation filtering to pick next-hop stations for packages riding subways and buses… | ||
| D2Park: Diversified Demand-aware On-street Parking Guidance | UbiComp 2021 | 2021-09-21 |
D2Park formulates parking as a Heterogeneous-Agent Dynamic Resource Allocation problem and builds a working system that combines GCN and LSTM sequence… | ||
| From Conception to Retirement: a Lifetime Story of a 3-Year-Old Wireless Beacon System | NSDI ’21 | 2021-04-12 |
Three-year city-scale deployment of customized BLE beacons (pilot 8 months, operation 28 months) places a device at each merchant to infer arrival/departure… | ||
| 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… | ||
| Extending Coverage of Stationary Sensing Systems with Mobile Sensing Systems for Human Mobility ... | UbiComp / ISWC 2020 | 2020-09-12 |
A system called Mohen links a city-scale stationary sensing network of highway toll stations to a small-scale mobile sensing GPS corpus to infer where people… | ||
| 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… | ||
| RISC: Resource-Constrained Urban Sensing Task Scheduling Based on Commercial Fleets | UbiComp / ISWC 2020 | 2020-09-12 |
RISC implements an MDP-based scheduling system that predicts vehicle locations, builds a vehicle–region graph, and casts each time slot as a set-cover… | ||
| FairCharge: A Data-Driven Fairness-Aware Charging Recommendation System for Large-Scale Electric ... | UbiComp / ISWC 2020 | 2020-09-12 |
A deployed recommendation system called FairCharge assigns charging targets for fleets using real GPS and transaction streams from Shenzhen (≈16,400 taxis, 117… | ||
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