In the past decade, Graphics Processing Units have played an important role in the field of
high-performance computing and they still advance new fields such as IoT, autonomous …

Order dispatching is instrumental to the marketplace engine of a large-scale ride-hailing
platform, such as the DiDi platform, which continuously matches passenger trip requests to …

We propose a new training objective named order-agnostic cross entropy (OaXE) for fully
non-autoregressive translation (NAT) models. OaXE improves the standard cross-entropy …

Modern deep learning frameworks support a variety of hardware, including CPU, GPU, and
other accelerators, to perform computation. In this paper, we study how to schedule jobs …

Traditional technology uses serial processing method in CT image feature extraction. It is
prone to loss of image data, which causes problems such as ring distortion of the …

In the majority of existing multi-view clustering methods, the prerequisite is that the data
have the correct cross-view correspondence. However, this strong assumption may not …

In the last decade, the popularity of UAVs has increased tremendously. Nowadays, many
researchers are interested in UAV swarms. Coordinating a swarm of UAVs is a complicated …

Parallel computing is a standard approach to achieving high-performance computing (HPC).
Three commonly used methods to implement parallel computing include: 1) applying …

The k-cardinality unbalanced assignment problem asks for assigning k “agents” to k “tasks”
on a one-to-one basis, while minimizing the total cost associated with the assignment, with …

Visual Simultaneous Localization and Mapping (SLAM) systems are an essential
component in agricultural robotics that enable autonomous navigation and the construction …