Recurrent spiking neural networks (RSNNs) hold great potential for advan...
The pose-only (PO) visual representation has been proven to be equivalen...
Text Summarization is recognised as one of the NLP downstream tasks and ...
The explosion of e-commerce has caused the need for processing and analy...
Product bundling is a common selling mechanism used in online retailing....
The optical fiber network has become a worldwide infrastructure. In addi...
As Kubernetes becomes the infrastructure of the cloud-native era, the
in...
Anomaly detection has been an active research area with a wide range of
...
Retinal vascular diseases affect the well-being of human body and someti...
Subspace identification (SID) has been widely used in system identificat...
Heated debates continue over the best autonomous driving framework. The
...
How can one analyze detailed 3D biological objects, such as neurons and
...
We present a graph neural network model for solving graph-to-graph learn...
Matching module plays a critical role in display advertising systems. Wi...
In E-commerce, advertising is essential for merchants to reach their tar...
Modern large-scale systems such as recommender system and online adverti...
Retinopathy of prematurity (ROP) is an abnormal blood vessel development...
Federated Machine Learning (FML) creates an ecosystem for multiple parti...
Pose estimation is a fundamental building block for robotic applications...
In this paper, we study how to learn an appropriate lane changing strate...
Root is an important organ of a plant since it is responsible for water ...
Federated Learning is introduced to protect privacy by distributing trai...
We describe a novel integrated algorithm for real-time enhancement of vi...