This paper provides a comprehensive state-of-the-art investigation of the recent advances in
data science in emerging economic applications. The analysis is performed on the novel …

The difficulty of deploying various deep learning (DL) models on diverse DL hardware has
boosted the research and development of DL compilers in the community. Several DL …

Deep residual networks (ResNets) and their variants are widely used in many computer
vision applications and natural language processing tasks. However, the theoretical …

The molecular mechanisms and functions in complex biological systems currently remain
elusive. Recent high-throughput techniques, such as next-generation sequencing, have …

The explosive popularity of e-commerce sites has reshaped users» shopping habits and an
increasing number of users prefer to spend more time shopping online. This evolution …

An energy-based a posteriori error bound is proposed for the physics-informed neural
network solutions of elasticity problems. An admissible displacement-stress solution pair is …

In order to organize the large number of products listed in e-commerce sites, each product is
usually assigned to one of the multi-level categories in the taxonomy tree. It is a time …

E-commerce platforms categorize their products into a multi-level taxonomy tree with
thousands of leaf categories. Conventional methods for product categorization are typically …

E-commerce platforms often use a predefined structured hierarchy of product categories.
Apart from helping buyers sort between different product types, listing categorization is also …

E-commerce sites usually leverage taxonomies for better organizing products. The fine-
grained categories, regarding the leaf categories in taxonomies, are defined by the most …