The wide dissemination of fake news has affected our lives in many aspec...
A wireless federated learning system is investigated by allowing a serve...
Transformers have shown significant effectiveness for various vision tas...
The point pair feature (PPF) is widely used for 6D pose estimation. In t...
One of the main focuses in distributed learning is communication efficie...
With the development of online travel services, it has great application...
Rate-distortion-perception theory generalizes Shannon's rate-distortion
...
In Vitro Fertilization (IVF) is the most widely used Assisted Reproducti...
Energy-based models (EBMs) provide an elegant framework for density
esti...
The demand for explainable machine learning (ML) models has been growing...
Aerial pixel-wise scene perception of the surrounding environment is an
...
Financial markets are a complex dynamical system. The complexity comes f...
Secure Device-to-Device (D2D) communication is becoming increasingly
imp...
One of the main focus in federated learning (FL) is the communication
ef...
Supervised learning on Deep Neural Networks (DNNs) is data hungry. Optim...
As mobile devices become ubiquitous, people around the world have enjoye...
Variational Autoencoder (VAE) and its variations are classic generative
...
In this paper, we propose a method to learn a minimizing geodesic within...
In order to alleviate the notorious mode collapse phenomenon in generati...
Recently, optical neural networks (ONNs) integrated in photonic chips ha...
Online voting is an emerging feature in social networks, in which users ...
In this paper, we study the problem of using representation learning to
...
The goal of graph representation learning is to embed each vertex in a g...
Hashing has played a pivotal role in large-scale image retrieval. With t...