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Chapter and Conference Paper
STLGCN: Spatial-Temporal Graph Convolutional Network for Long Term Traffic Forecasting
As an essential part of intelligent transportation, accurate traffic forecasting helps city managers make better arrangements and allows users to make reasonable travel plans. Current mainstream traffic foreca...
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Article
A multilayer recognition model for twitter user geolocation
Geolocation is important for many emerging applications such as disaster management and recommendation system. In this paper, we propose a multilayer recognition model (MRM) to predict the city-level location ...
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Article
Efficient Identification of TOP-K Heavy Hitters over Sliding Windows
Due to the increasing volume of network traffic and growing complexity of network environment, rapid identification of heavy hitters is quite challenging. To deal with the massive data streams in real-time, ac...
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Chapter and Conference Paper
D2Sketch: Supporting Efficient Identification of Heavy Hitters Over Sliding Windows
Heavy hitters can provide an important indicator for detecting abnormal network events. Most of existing algorithms for heavy hitter identification are implemented to deal with static datasets generated withi...
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Article
Performance improvement for source mobility in named data networking based on global–local FIB updates
The mobile devices have become the norm, rather than an exception for people’s daily life, and these devices possess strong ability (e.g., increasingly large storage) to serve as content sources in future info...