Diffusion models (DM) can gradually learn to remove noise, which have be...
Multi-node communication, which refers to the interaction among multiple...
This paper investigates joint device identification, channel estimation,...
This paper proposes a novel media access control (MAC) mechanism, called...
This paper investigates the multiple-input-multiple-output (MIMO) massiv...
Degraded broadcast channels (DBC) are a typical multi-user communication...
Diffusion models (DM) can gradually learn to remove noise, which have be...
Cooperative perception enabled by V2X Communication technologies can
sig...
Current top-leading solutions for video object segmentation (VOS) typica...
Typical layout-to-image synthesis (LIS) models generate images for a clo...
We develop an effective point cloud rendering pipeline for novel view
sy...
This research paper explores the use of ChatGPT in database management.
...
Dressed people reconstruction from images is a popular task with promisi...
This paper investigates the energy efficiency of massive unsourced rando...
In this paper, the analysis of excess distortion exponent for joint
sour...
Neural Radiance Field (NeRF) has revolutionized free viewpoint rendering...
Recent years we have witnessed rapid development in NeRF-based image
ren...
Perception is one of the crucial module of the autonomous driving system...
This paper investigates a novel method for designing linear precoders wi...
This paper investigates joint channel estimation and device activity
det...
In this letter, we propose a symbol-wise puncturing scheme to support hy...
Collaborative perception has recently shown great potential to improve
p...
Mobile communication standards were developed for enhancing transmission...
To realize trajectory prediction, most previous methods adopt the
parame...
In this paper, we propose an enhanced preamble based media access contro...
3D shape analysis has been widely explored in the era of deep learning.
...
The great success neural networks have achieved is inseparable from the
...
This paper considers the joint channel estimation and device activity
de...
This paper investigates the unsourced random access (URA) scheme to
acco...
In this paper, we investigate a joint device activity detection (DAD),
c...
In this paper, we propose a preamble based medium access control (P-MAC)...
To promote better performance-bandwidth trade-off for multi-agent percep...
In this paper, we propose a multiple-input multipleoutput (MIMO) transmi...
Reconfigurable intelligent surface (RIS)-aided networks have been
invest...
Massive multiple-input and multiple-output (MIMO) enables ultra-high
thr...
Unsupervised learning methods have recently shown their competitiveness
...
In this work, we propose a Cross-view Contrastive Learning framework for...
Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect term,
...
In cell-free massive multiple-input multiple-output (MIMO) orthogonal
fr...
A joint sparse-regression-code (SPARC) and low-density-parity-check (LDP...
This paper investigates the massive random access for a huge amount of u...
The massive machine-type communication has been one of the most
represen...
Transferring knowledges learned from multiple source domains to target d...
In this paper, we propose a new polar coding scheme for the unsourced,
u...
Applying the knowledge of an object detector trained on a specific domai...
Recent works on domain adaptation reveal the effectiveness of adversaria...
Virtual reality (VR) is making waves around the world recently. However,...
High-density object counting in surveillance scenes is challenging mainl...
In this paper, we propose an online Multi-Object Tracking (MOT) approach...
Convolution is spatially-symmetric, i.e., the visual features are indepe...