Sentiment analysis of social media data is crucial to understand people's position, attitude,
and opinion toward a certain event, which has many applications such as election prediction …

Image-text matching by deep models has recently made remarkable achievements in many
tasks, such as image caption and image search. A major challenge of matching the image …

In a large-scale cloud environment, many key performance indicators (KPIs) of entities are
monitored in real time. These multivariate time series consist of high-dimensional, high …

Recommendation services play a pivotal role in financial decision-making and multimedia
content services, as they suggest investment operations and personalized items to users …

With the widespread development of the internet, multi-view text documents have become
increasingly common, which has led to extensive research on multi-view text document …

In image retrieval, the images to be retrieved are stored on remote servers. Since the images
contain amounts of privacy information and the server cannot be fully trusted, people usually …

Learning network representations is a fundamental task for many graph applications such as
link prediction, node classification, graph clustering, and graph visualization. Many real …

Traditional multi-view learning methods often rely on two assumptions:() the samples in
different views are well-aligned, and () their representations obey the same distribution in a …

Due to the evolution of new media formats, emphasis on appropriate compression of data
becomes paramount. Compression algorithms employed in real-time streaming applications …

Cybersecurity is a present and growing concern that needs to be addressed with both
behavioral and design-oriented research. Public cloud providers such as Amazon Web …