The widespread dissemination of toxic online posts is increasingly damag...
Heterophily has been considered as an issue that hurts the performance o...
Recent works on 3D reconstruction from posed images have demonstrated th...
Dense 3D reconstruction from RGB images traditionally assumes static cam...
Graph Neural Networks (GNNs) have shown remarkable success in graph
repr...
Prediction modelling of claim frequency is an important task for pricing...
The current success of Graph Neural Networks (GNNs) usually relies on lo...
Heterogeneous graph learning has drawn significant attentions in recent
...
Session-based recommendation aims to predict items that an anonymous use...
Reconfigurable intelligent surface (RIS) constitutes an essential and
pr...
Impact sounding signal has been shown to contain information about struc...
A new class of copulas, termed the MGL copula class, is introduced. The ...
In this paper, the performance of a dual-hop relaying terahertz (THz)
wi...
We study the problem of novel view synthesis of a scene comprised of 3D
...
Ground Penetrating Radar (GPR) is an effective non-destructive evaluatio...
In this paper, we investigate the performance of a mixed
radio-frequency...
In this paper, we investigate the performance of a reconfigurable intell...
In this paper, we study a dual-hop mixed power line communication and
ra...
In this work, in order to achieve higher spectrum efficiency, we propose...
Despite the promising gains, free-space optical (FSO) communication is
s...
In this work, the performance of reconfigurable intelligent surface
(RIS...
Ground Penetrating Radar (GPR) is one of the most important non-destruct...
Graph Neural Networks (GNNs) have achieved tremendous success in graph
r...
This paper proposes a novel reconfigurable intelligent surface (RIS)
arc...
In this paper, the physical layer security (PLS) for a novel reconfigura...
In this letter, we consider a dual-hop cooperative network assisted by
m...
This paper proposes highly accurate closed-form approximations to channe...
The deficiency of 3D segmentation labels is one of the main obstacles to...
Free-space optical (FSO) links are considered as a cost-efficient way to...
The risk premium of a policy is the sum of the pure premium and the risk...
In multi-label learning, each instance is associated with multiple label...
In this paper, we reformulate the forest representation learning approac...
Using an ego-centric camera to do localization and tracking is highly ne...