Latest AI and machine learning research in work force for healthcare professionals.
Left-behind children (LBCs), numbering over 66 million in China, face severe mental health challen...
Graph Neural Networks (GNNs) perform effectively when training and testing graphs are drawn from t...
Rare diseases, despite their low individual incidence, collectively impact around 300 million peop...
Software engineering (SE) faces significant diversity challenges in both academia and industry, wi...
Domain Generalized Semantic Segmentation (DGSS) seeks to utilize source domain data exclusively to...
Existing work on large language model (LLM) personalization assigned different responding roles to...
The use of machine learning to estimate the energy of a group of atoms, and the forces that drive ...
Data-free knowledge distillation transfers knowledge by recovering training data from a pre-traine...
Estimating physical properties for visual data is a crucial task in computer vision, graphics, and...
This paper explores the application of large language models (LLMs) in nursing and elderly care, f...
This study seeks to automate camera movement control for filming existing subjects into attractive...
In recent years, Multimodal Large Language Models (MLLM) have achieved notable advancements, demon...
While one commonly trains large diffusion models by collecting datasets on target downstream tasks...
Score distillation of 2D diffusion models has proven to be a powerful mechanism to guide 3D optimi...
With the rapid advancements in Large Language Models (LLMs), LLM-based agents have introduced conv...
Surgical interventions, particularly in neurology, represent complex and high-stakes scenarios tha...
Large Language Models (LLMs) have been widely used in various tasks, motivating us to develop an L...
The increasing shortage of nursing staff and the acute risk of falls in nursing homes pose signifi...
The integration of conversational agents into our daily lives has become increasingly common, yet ...
Influenced by the complexity of volumetric imaging, there is a shortage of established datasets us...
The rapid advancement of generative models in creating highly realistic images poses substantial r...