Full-body reconstruction is a fundamental but challenging task. Owing to...
Heterogeneous information networks (HINs) are widely employed for descri...
We explore the feasibility of AI assisted hand-gesture recognition using...
A new research framework is proposed to incorporate machine learning
tec...
Mood inference with mobile sensing data has been studied in ubicomp
lite...
In recent years, aerial swarm technology has developed rapidly. In order...
Span-based joint extraction simultaneously conducts named entity recogni...
The reliability of operating system (OS) has always been a major concern...
Assembly sequence planning (ASP) is the essential process for modern
man...
This paper considers a Gaussian vector wiretap channel with two users, w...
This paper considers a Gaussian multi-input multi-output (MIMO) multiple...
Although the use of multiple Unmanned Aerial Vehicles (UAVs) has great
p...
This paper investigates the achievable region and precoder design for
mu...
Convolutional neural networks can achieve remarkable performance in sema...
In response to the existing object detection algorithms are applied to
c...
An exhaustive study has been conducted to investigate span-based models ...
Antenna selection is capable of handling the cost and complexity issues ...
Data-driven discovery of PDEs has made tremendous progress recently, and...
Modeling the evolution of user preference is essential in recommender
sy...
Degraded images commonly exist in the general sources of character image...
Constructing high-quality character image datasets is challenging becaus...
The long-tail effect is a common issue that limits the performance of de...
Physical layer (PHY) security in decode-and-forward (DF) relay systems i...
This paper considers the distributed information bottleneck (D-IB) probl...
It is well established that graph neural networks (GNNs) can be interpre...
Background: Breast cancer has the highest prevalence in women globally. ...
The interpretability of deep neural networks has attracted increasing
at...
Human pose estimation aims at localizing human anatomical keypoints or b...
On-device ML accelerators are becoming a standard in modern mobile
syste...
Recent state-of-the-art performances of Vision Transformers (ViT) in com...
Blockchain has the potential to reform the architecture of cyberspace an...
Memory bloat is an important source of inefficiency in complex productio...
Metaverse depicts a vista of constructing a virtual environment parallel...
Nowadays, multirotors are playing important roles in abundant types of
m...
Environmental microorganisms (EMs) are ubiquitous around us and have an
...
The dynamics of temporal networks lie in the continuous interactions bet...
Stereoselective reactions (both chemical and enzymatic reactions) have b...
Distributed pose graph optimization (DPGO) is one of the fundamental
tec...
As the COVID-19 pandemic continues to impact the world, data is being
ga...
This paper investigates the secrecy capacity region of multiple access
w...
One of the key problems in multi-label text classification is how to tak...
Partial differential equations (PDEs) are concise and understandable
rep...
Data association is important in the point cloud registration. In this w...
Although deep-learning has been successfully applied in a variety of sci...
Data-driven discovery of partial differential equations (PDEs) has achie...
Tail-sitter vertical takeoff and landing (VTOL) unmanned aerial vehicles...
The complexity and non-Euclidean structure of graph data hinder the
deve...
The collaboration of unmanned aerial vehicles (UAVs), also known as aeri...
Point cloud registration is a key task in many computational fields. Pre...
This paper considers the information bottleneck (IB) problem of a Raylei...