Recently, multi-view representation learning has become a rapidly growing direction in
machine learning and data mining areas. This paper introduces two categories for multi …

Unsupervised multi-view representation learning has been studied extensively for mining
multi-view data. However, some critical challenges remain. On the one hand, the existing …

This paper attacks the challenging problem of cross-media retrieval. That is, given an image
find the text best describing its content, or the other way around. Different from existing …

In order to retrieve unlabeled images by textual queries, cross-media similarity computation
is a key ingredient. Although novel methods are continuously introduced, little has been …

Large-scale image datasets and deep convolutional neural networks (DCNNs) are the two
primary driving forces for the rapid progress in generic object recognition tasks in recent …

The thumbnail, as the first sight of a micro-video, plays a pivotal role in attracting users to
click and watch. While in the real scenario, the more the thumbnails satisfy the users, the …

In this paper, we summarize our works for cross-media retrieval where the queries and
retrieval content are of different media types. We study cross-media retrieval in the context of …