Context Static analysis exploits techniques that parse program source code or bytecode,
often traversing program paths to check some program properties. Static analysis …

Mobile devices (MDs), represented by smartphones, have been widely used in various
industries. However, MDs are constrained by their limited resources and cannot execute …

Deep learning models are being deployed in many mobile intelligent applications. End-side
services, such as intelligent personal assistants, autonomous cars, and smart home services …

A deep neural network (DNN) has become increasingly popular in industrial Internet of
Things scenarios. Due to high demands on computational capability, it is hard for DNN …

Although millions of users download and use third-party Android applications from the
Google Play store, little information is known on an aggregated level about these …

A growing number of software solutions have been proposed to address application-level
energy consumption problems in the last few years. However, little is known about how …

Monolithic systems increasingly suffer from maintainability and scalability issues as they
grow in functionality, size, and complexity. It is widely believed that (micro) service-based …

Due to their on-body and ubiquitous nature, wearables can generate a wide range of unique
sensor data creating countless opportunities for deep learning tasks. We propose …

By studying the causality contained in financial texts, we can further reveal more potential
laws of economic activities, such as “factors promoting stable and healthy economic …

Cloud computing has paved a way for resource-constrained mobile devices to speed up
their computing tasks and to expand their storage capacity. However, cloud computing is not …