Over the last couple of decades, community question‐answering sites (CQAs) have been a
topic of much academic interest. Scholars have often leveraged traditional machine learning …

Mobile crowdsensing serves as a critical building block for emerging Internet of Things (IoT)
applications. However, the sensing devices continuously generate a large amount of data …

Vision and language understanding is one of the most fundamental and difficult tasks in
Multimedia Intelligence. Simultaneously Visual Question Answering (VQA) is even more …

Vision and language understanding is one of the most fundamental and challenging
problems in Multimedia Intelligence. Simultaneously understanding video actions with a …

Mobile crowd-sensing (MCS) is a new sensing paradigm that takes advantage of the
extensive use of mobile phones that collect data efficiently and enable several significant …

Existing approaches in online health question answering (HQA) communities to identify the
quality of answers either address it subjectively by human assessment or mainly using …

Data availability is one of the most important performance factors in cloud storage systems.
To enhance data availability, replication is a common approach to handle the machine …

Community questions answering sites receive a huge number of questions and answers
everyday. It has been observed that a number of questions among them are marked as …

Students use general web search engines as their primary source of research while trying to
find answers to school-related questions. Although search engines are highly relevant for …

Data analytics frameworks shift towards larger degrees of parallelism. Efficient scheduling of
data-parallel jobs (tasks) is critical for improving job performance such as response time …