Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Causal effect estimation has been widely used in marketing optimization. The framework of an uplif...
Working memory involves the temporary retention of information over short periods. It is a critica...
Modern LLM serving systems confront inefficient GPU utilization due to the fundamental mismatch be...
Large Vision Language Models have demonstrated impressive versatile capabilities through extensive...
Knowledge distillation (KD) compresses the network capacity by transferring knowledge from a large...
Explainable artificial intelligence (XAI) has become increasingly important in decision-critical d...
For deep learning-based image steganography frameworks, in order to ensure the invisibility and re...
Aiming at the problems of poor quality of steganographic images and slow network convergence of im...
Although large language models (LLMs) have recently achieved remarkable performance on various com...
Optimization plays a vital role in scientific research and practical applications. However, formul...
Contrastive Language-Image Pre-training (CLIP) has achieved success on multiple downstream tasks b...
Infrared small target detection (ISTD) is highly sensitive to sensor type, observation conditions,...
Our everyday auditory experience is shaped by the acoustics of the indoor environments in which we...
We propose a perceptual chromatic adaptation transform for white balance that makes use of split-q...
Endovascular procedures have revolutionized the treatment of vascular diseases thanks to minimally...
While generative artificial intelligence (GenAI) is finding increased adoption in workplaces, curr...
Energy consumption in mobile communication networks has become a significant challenge due to its ...
The practical performance of generative diffusion models depends on the appropriate choice of the ...
Biological synapses effortlessly balance memory retention and flexibility, yet artificial neural n...
Large Language Models (LLMs) trained on extensive datasets often learn sensitive information, whic...
Reservoir computers (RCs) provide a computationally efficient alternative to deep learning while a...