Latest AI and machine learning research in practice management for healthcare professionals.
With the remarkable progress in neural P-frame video coding, neural B-frame coding has recently emerged as a critical research direction. However, most existing neural B-frame codecs directly adopt P-frame coding tools without adequately addressing the unique challenges of B-frame compression, leading to suboptimal performance. To bridge this gap, we propose novel enhancements for motion compres...
This paper investigates distributed source-channel coding for correlated image semantic transmission over wireless channels. In this setup, correlated images at different transmitters are separately encoded and transmitted through dedicated channels for joint recovery at the receiver. We propose a general approach for distributed image semantic communication that applies to both separate source ...
Domain generalization has become a critical challenge in clinical prediction, where patient cohorts often exhibit shifting data distributions that d...
We introduce MedAgentGYM, the first publicly available training environment designed to enhance coding-based medical reasoning capabilities in large...
How can we quantize large language models while preserving accuracy? Quantization is essential for deploying large language models (LLMs) efficientl...
Deep learning approaches process data in a layer-by-layer way with intermediate (or latent) features. We aim at designing a general solution to opti...
Deep joint source-channel coding (deepJSCC) and semantic communication have shown promising improvements in communication performance over wireless ...
Implicit motives, nonconscious needs that influence individuals' behaviors and shape their emotions, have been part of personality research for nearly...
Predictive coding networks (PCNs) constitute a biologically inspired framework for understanding hierarchical computation in the brain, and offer an...
Hepato-pancreato-biliary (HPB) disorders represent a global public health challenge due to their high morbidity and mortality. Although large langua...
The Facial Action Coding System (FACS) has been used by numerous studies to investigate the links between facial behavior and mental health. The lab...
Verifiers play a crucial role in large language model (LLM) reasoning, needed by post-training techniques such as reinforcement learning. However, r...
This paper proposes a novel vision-integrated neural speech codec (VNSC), which aims to enhance speech coding quality by leveraging visual modality ...
BACKGROUND: Deaths related to physical trauma impose a heavy burden on society, and the Abbreviated Injury Scale (AIS) is an important tool for injury...
3D Gaussian Splatting (3DGS) has gained popularity for its fast and high-quality rendering, but it has a very large memory footprint incurring high ...
Long-distance depth imaging holds great promise for applications such as autonomous driving and robotics. Direct time-of-flight (dToF) imaging offer...
Predictive Coding (PC) offers a biologically plausible alternative to backpropagation for neural network training, yet struggles with deeper archite...
ICD Coding aims to assign a wide range of medical codes to a medical text document, which is a popular and challenging task in the healthcare domain...
Most existing approaches for image and video compression perform transform coding in the pixel space to reduce redundancy. However, due to the misal...
In this paper, we propose to compress human body video with interactive semantics, which can facilitate video coding to be interactive and controlla...