Large language models (LLMs) have achieved significant performance in ma...
As the capabilities of large language models (LLMs) continue to advance,...
In recent years, by utilizing optimization techniques to formulate the
p...
Do people trust social media? If so, why, in what contexts, and how does...
WebAssembly (abbreviated WASM) has emerged as a promising language of th...
This work establishes a framework for solving inverse boundary problems ...
Removing bias while keeping all task-relevant information is challenging...
During the COVID-19 pandemic, a number of data visualizations were creat...
Recently, Optimization-Derived Learning (ODL) has attracted attention fr...
The world population is projected to rapidly age over the next 30 years....
Older adults are at greater risk of experiencing negative physical and
p...
While permutation invariant training (PIT) based continuous speech separ...
Gradient-based Bi-Level Optimization (BLO) methods have been widely appl...
The label bias and selection bias are acknowledged as two reasons in dat...
Hawkes processes are a class of point processes that have the ability to...
Graphics Processing Units (GPUs) have been widely used to accelerate
art...
In response to COVID-19, a vast number of visualizations have been creat...
Music source separation is important for applications such as karaoke an...
Hawkes process provides an effective statistical framework for analyzing...
In the task abstraction phase of the visualization design process, inclu...
Food journaling is an effective method to help people identify their eat...
Existing image-to-image transformation approaches primarily focus on
syn...
Mass emergencies increasingly pose significant threats to human life, wi...
The number of informal caregivers for family members with Alzheimer's Di...
Composite temporal event sequence visualizations have included sentinel ...
Interactive fashion image manipulation, which enables users to edit imag...
As an intuitive way of expression emotion, the animated Graphical Interc...
Convolutional Neural Networks (CNN) have been successfully applied to
au...
Image forgery detection is the task of detecting and localizing forged p...