State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
Personal sensing: understanding mental health using ubiquitous sensors and machine learning
Sensors in everyday devices, such as our phones, wearables, and computers, leave a
stream of digital traces. Personal sensing refers to collecting and analyzing data from …
stream of digital traces. Personal sensing refers to collecting and analyzing data from …
[HTML][HTML] Equitable access to COVID-19 vaccines makes a life-saving difference to all countries
Despite broad agreement on the negative consequences of vaccine inequity, the distribution
of COVID-19 vaccines is imbalanced. Access to vaccines in high-income countries (HICs) is …
of COVID-19 vaccines is imbalanced. Access to vaccines in high-income countries (HICs) is …
Simplicial closure and higher-order link prediction
Networks provide a powerful formalism for modeling complex systems by using a model of
pairwise interactions. But much of the structure within these systems involves interactions …
pairwise interactions. But much of the structure within these systems involves interactions …
Revisiting user mobility and social relationships in lbsns: a hypergraph embedding approach
Location Based Social Networks (LBSNs) have been widely used as a primary data source
to study the impact of mobility and social relationships on each other. Traditional …
to study the impact of mobility and social relationships on each other. Traditional …
Human mobility: Models and applications
Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …
human movement, enabling scientists to quantitatively study individual and collective …
On mobile edge caching
With the widespread adoption of various mobile applications, the amount of traffic in wireless
networks is growing at an exponential rate, which exerts a great burden on mobile core …
networks is growing at an exponential rate, which exerts a great burden on mobile core …
Attributed network embedding for learning in a dynamic environment
Network embedding leverages the node proximity manifested to learn a low-dimensional
node vector representation for each node in the network. The learned embeddings could …
node vector representation for each node in the network. The learned embeddings could …
Link prediction in social networks: the state-of-the-art
In social networks, link prediction predicts missing links in current networks and new or
dissolution links in future networks, is important for mining and analyzing the evolution of …
dissolution links in future networks, is important for mining and analyzing the evolution of …
[PDF][PDF] A survey of results on mobile phone datasets analysis
In this paper, we review some advances made recently in the study of mobile phone
datasets. This area of research has emerged a decade ago, with the increasing availability …
datasets. This area of research has emerged a decade ago, with the increasing availability …