Recommender systems have recently been singled out as a fascinating area of research,
owing to the technological progress in mobile devices, such as smartphones and tablets, as …

With the spiraling pandemic of the Coronavirus Disease 2019 (COVID-19), it has becoming
inherently important to disseminate accurate and timely information about the disease. Due …

Artificial Intelligence (AI) has been widely adopted in many important application domains
such as speech recognition, computer vision, autonomous driving, and AI for social good. In …

The Internet keeps changing at a rapid pace, driven mainly by the emerging concepts and
applications that make it aware of the physical world and responsive to user context. The …

While sequential recommender systems achieve significant improvements on capturing user
dynamics, we argue that sequential recommenders are vulnerable against substitution …

Identifying trustworthy information in the presence of noisy data contributed by numerous
unvetted sources from online social media (eg, Twitter, Facebook, and Instagram) has been …

In the big data era, it's important to identify trustworthy information from an influx of noisy
data contributed by unvetted sources from online social media (eg, Twitter, Instagram …

Social sensing has emerged as a new sensing application paradigm where measurements
about the physical world are collected from humans or devices on their behalf. A key …

With the rapid growth of online social media and ubiquitous Internet connectivity, social
sensing has emerged as a new crowdsourcing application paradigm of collecting …

While vehicular sensor networks (VSNs) have earned the stature of a mobile sensing
paradigm utilizing sensors built into cars, they have limited sensing scopes since car drivers …