Biblio
Filters: Author is Li, Yanhua [Clear All Filters]
Modeling Urban Trip Demands in Cloud-Commuting System: A Holistic Approach. The 3rd IEEE INFOCOM Workshop on Smart Cities and Urban Computing (SmartCity 2017). :1–6.
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2017.
Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport. IEEE Transactions on Big Data. 3:126–139.
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2017.
Mining the Most Influential $ k $-Location Set From Massive Trajectories. IEEE Transactions on Big Data. PP:1-14.
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2017.
Scalable User-Substation Assignment with Big Data from Power Grids. IEEE Transactions on Big Data. PP:1-14.
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2017.
Querying Massive Trajectories by Path on the Cloud. 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2017). :1–4.
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2017.
Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data. 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2017). :1–10.
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2017.
CityLines: Hybrid Hub-and-Spoke Urban Transit System. 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2017). :1–4.
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2017.
Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data. The 33rd International Conference on Data Engineering (ICDE 2017). :1–12.
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2017.
Data-driven inverse learning of passenger preferences in urban public transits. The 56th IEEE Conference on Decision and Control (CDC 2017). :1–6.
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2017.
REC: Predictable Charging Scheduling for Electric Taxi Fleets. IEEE Real-Time Systems Symposium (RTSS 2017). :1–10.
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2017.
Planning bike lanes based on Sharing-bike’s trajectories. the 23th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2017). :1–10.
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2017.