571 citations · 693 across the 8 of their papers we have counts for
8 papers
A Novel Framework for Online Amnesic Trajectory Compression in Resource-constrained Environments
Jiajun Liu, Kun Zhao, Philipp Sommer +4
State-of-the-art trajectory compression methods usually involve high space-time complexity or yield unsatisfactory compression rates, leading to rapid exhaustion of memory, computa…
Understanding the spatiotemporal pattern of grazing cattle movement
Kun Zhao, Raja Jurdak
In this study, we analyse a high-frequency movement dataset for a group of grazing cattle and investigate their spatiotemporal patterns using a simple two-state `stop-and-move' mob…
Diffusion in Colocation Contact Networks: the Impact of Nodal Spatiotemporal Dynamics
Bryce Thomas, Raja Jurdak, Kun Zhao +1
Temporal contact networks are studied to understand dynamic spreading phenomena such as communicable diseases or information dissemination. To establish how spatiotemporal dynamics…
Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets
Jiajun Liu, Kun Zhao, Brano Kusy +2
The prediction of periodical time-series remains challenging due to various types of data distortions and misalignments. Here, we propose a novel model called Temporal embedding-en…
Bounded Quadrant System: Error-bounded Trajectory Compression on the Go
Jiajun Liu, Kun Zhao, Philipp Sommer +3
Long-term location tracking, where trajectory compression is commonly used, has gained high interest for many applications in transport, ecology, and wearable computing. However, s…
Understanding Human Mobility from Twitter
Raja Jurdak, Kun Zhao, Jiajun Liu +3
Understanding human mobility is crucial for a broad range of applications from disease prediction to communication networks. Most efforts on studying human mobility have so far use…
Multi-scale Population and Mobility Estimation with Geo-tagged Tweets
Jiajun Liu, Kun Zhao, Saeed Khan +2
Recent outbreaks of Ebola and Dengue viruses have again elevated the significance of the capability to quickly predict disease spread in an emergent situation. However, existing ap…
Optimal Lévy-flight foraging in a finite landscape
Kun Zhao, Raja Jurdak, Jiajun Liu +5
We present a simple model to study Lévy-flight foraging in a finite landscape with countable targets. In our approach, foraging is a step-based exploratory random search process wi…