Delay alignment modulation (DAM) is a novel wideband transmission techni...
This paper studies a near-field multiple-input multiple-output (MIMO) ra...
We present a second-order strictly length-preserving and unconditionally...
In this work, we seek to predict camera poses across scenes with a multi...
Advances in robotic automation, high-performance computing (HPC), and
ar...
This paper studies the transmit energy beamforming in a multi-antenna
wi...
There is an increasing interest in developing LLMs for medical diagnosis...
Machine learning models may inadvertently memorize sensitive, unauthoriz...
This paper compares the signal-to-noise ratio (SNR) performance between ...
Smart mobility becomes paramount for meeting net-zero targets. However,
...
This paper studies a multi-antenna networked integrated sensing and
comm...
This paper studies the over-the-air computation (AirComp) in an orthogon...
This paper studies a multi-intelligent-reflecting-surface-(IRS)-enabled
...
This paper investigates the energy efficiency of a multiple-input
multip...
For 3D object manipulation, methods that build an explicit 3D representa...
Future sixth-generation (6G) networks are envisioned to provide both sen...
This correspondence studies the wireless powered over-the-air computatio...
Few-shot text classification has recently been promoted by the meta-lear...
Artificial intelligence (AI) has demonstrated the ability to extract ins...
Federated Learning (FL) is a machine learning approach that enables the
...
With the recent advancements in edge artificial intelligence (AI), futur...
In this study, we address the emerging field of Streaming Federated Lear...
Sentiment transfer aims at revising the input text to satisfy a given
se...
Federated Learning (FL) is a communication-efficient and privacy-preserv...
Multi-human 3D pose estimation plays a key role in establishing a seamle...
Making top-down human pose estimation method present both good performan...
This paper unifies integrated sensing and communication (ISAC) and
simul...
Assembly planning is the core of automating product assembly, maintenanc...
Pushing artificial intelligence (AI) from central cloud to network edge ...
This paper studies a multi-antenna network integrated sensing and
commun...
This paper unifies integrated sensing and communication (ISAC) and
simul...
This paper investigates an intelligent reflecting surface (IRS) enabled
...
Multi-view graph clustering (MGC) methods are increasingly being studied...
Cluster analysis plays an indispensable role in machine learning and dat...
This paper studies a multiple-input multiple-output (MIMO) integrated se...
Resource provisioning plays a pivotal role in determining the right amou...
Multi-server Federated learning (FL) has been considered as a promising
...
Over-the-air federated edge learning (Air-FEEL) has emerged as a promisi...
This paper studies a downlink secure integrated sensing and communicatio...
This paper investigates intelligent reflecting surface (IRS) enabled
non...
With recent advancements, the wireless local area network (WLAN) or wire...
This letter studies the energy-efficient design in a downlink multi-ante...
This paper studies a new multi-device edge artificial-intelligent (AI)
s...
Social bots are referred to as the automated accounts on social networks...
This paper studies asynchronous Federated Learning (FL) subject to clien...
Unmanned aerial vehicle (UAV)-enabled integrated sensing and communicati...
This paper studies the multi-antenna multicast channel with integrated
s...
This paper studies a multiple-input multiple-output (MIMO) integrated se...
Federated learning (FL) is an outstanding distributed machine learning
f...
Extremely large-scale multiple-input multiple-output (XL-MIMO) is the
de...