The quality and safety of edible crops are key links inseparable from human health and
nutrition. In the era of rapid development of artificial intelligence, using it to mine multi …

Bio-informatics and gene expression analysis face major hurdles when dealing with high-
dimensional data, where the number of variables or genes much outweighs the number of …

Text classification is a central task in Natural Language Processing (NLP) that aims at
categorizing text documents into predefined classes or categories. It requires appropriate …

Graph convolutional networks (GCNs) have become one of the important technologies for
solving graph structured data problems. GCNs utilize convolutional networks to learn node …

A first-principles approach is a powerful means of gaining insight into the intrinsic structure
and properties of materials. However, with the implementation of material genetic …

The problem of cross-modal retrieval has attracted significant attention in the cross-media
retrieval community. One key challenge of cross-modal retrieval is to eliminate the …

Bearings are the most basic and important mechanical parts. The stable and safe operation
of the equipment requires bearing fault diagnosis in advance. So, bearing fault diagnosis is …

Topic modeling has emerged as a successful approach to uncovering topics from textual
data. Various topic modeling techniques have been introduced, ranging from traditional …

As a crucial approach for compact representation learning, hashing has achieved great
success in effectiveness and efficiency. Numerous heuristic Hamming space metric learning …

Unsupervised domain adaptation (UDA) for time series analysis remains challenging due to
the lack of labeled data in target domains. Existing methods rely heavily on auxiliary data yet …