In radio astronomy, visibility data, which are measurements of wave sign...
Non-terrestrial networks (NTN) offer potential for efficient content
bro...
LiDAR-based fully sparse architecture has garnered increasing attention....
SAR images are highly sensitive to observation configurations, and they
...
In LiDAR-based 3D detection, history point clouds contain rich temporal
...
In radio astronomy, signals from radio telescopes are transformed into i...
This paper aims for high-performance offline LiDAR-based 3D object detec...
The discriminability of feature representation is the key to open-set fa...
Most reinforcement learning algorithms are based on a key assumption tha...
Using more reference frames can significantly improve the compression
ef...
Image augmentation is a common mechanism to alleviate data scarcity in
c...
This letter investigates a cache-enabled multiuser mobile edge computing...
As the perception range of LiDAR expands, LiDAR-based 3D object detectio...
Synthesizing high-fidelity videos from real-world multi-view input is
ch...
Transformer has achieved extraordinary performance in Natural Language
P...
Hand, the bearer of human productivity and intelligence, is receiving mu...
Recent advances in pre-training vision-language models like CLIP have sh...
Federated learning has attracted growing interest as it preserves the
cl...
Device Model Generalization (DMG) is a practical yet under-investigated
...
In an era of information explosion, recommendation systems play an impor...
In this paper, we investigate an intelligent reflecting surface
(IRS)-as...
As the perception range of LiDAR increases, LiDAR-based 3D object detect...
Sketch-based 3D shape retrieval (SBSR) is an important yet challenging t...
On-device machine learning enables the lightweight deployment of
recomme...
Quantum amplitude estimation is a key sub-routine of a number of quantum...
This paper focuses on the extreme-value problem for Shannon entropy of t...
Speaker recognition systems (SRSs) have recently been shown to be vulner...
Recent advances in self-supervised contrastive learning yield good
image...
De novo peptide sequencing from mass spectrometry data is an important m...
In this paper, we propose an extended mixed finite element method for
el...
This paper studies a sequential task offloading problem for a multiuser
...
Clustering is widely used in text analysis, natural language processing,...
Text content created by humans or language models is often stolen or mis...
In LiDAR-based 3D object detection for autonomous driving, the ratio of ...
Boolean matching is significant to digital integrated circuits design. A...
Influenced by the great success of deep learning via cloud computing and...
We propose an effective deep learning model for signal reconstruction, w...
We present TWIST, a novel self-supervised representation learning method...
Training multiple deep neural networks (DNNs) and averaging their output...
With the hardware development of mobile devices, it is possible to build...
Person re-identification (re-ID) plays an important role in applications...
Robust 3D mesh watermarking is a traditional research topic in computer
...
Mobile edge computing (MEC) integrated with multiple radio access
techno...
This paper presents and analyzes an immersed finite element (IFE) method...
In this paper, an important discovery has been found for nonconforming
i...
In this report, we present some experienced improvements to YOLO series,...
This paper considers an energy harvesting (EH) based multiuser mobile ed...
The recent spate of cyber attacks towards Internet of Things (IoT) devic...
Deep reinforcement learning (DRL) has recently been used to perform effi...
In this paper, we consider a wireless multihop device-to-device (D2D) ba...