Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot Study

Depression has impacted millions of people worldwide and has become one of the most prevalent ment...

Single-image reflection removal via self-supervised diffusion models

Reflections often degrade the visual quality of images captured through transparent surfaces, and ...

Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition

Finger vein recognition (FVR) has emerged as a secure biometric technique because of the confident...

VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models

Zero-shot customized video generation has gained significant attention due to its substantial appl...

Diverse Rare Sample Generation with Pretrained GANs

Deep generative models are proficient in generating realistic data but struggle with producing rar...

Dissecting CLIP: Decomposition with a Schur Complement-based Approach

The use of CLIP embeddings to assess the alignment of samples produced by text-to-image generative...

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation

Retrieval augmentation, the practice of retrieving additional data from large auxiliary pools, has...

Ethics and Technical Aspects of Generative AI Models in Digital Content Creation

Generative AI models like GPT-4o and DALL-E 3 are reshaping digital content creation, offering ind...

PsyDraw: A Multi-Agent Multimodal System for Mental Health Screening in Left-Behind Children

Left-behind children (LBCs), numbering over 66 million in China, face severe mental health challen...

Hybrid CNN-LSTM based Indoor Pedestrian Localization with CSI Fingerprint Maps

The paper presents a novel Wi-Fi fingerprinting system that uses Channel State Information (CSI) d...

Towards Effective Graph Rationalization via Boosting Environment Diversity

Graph Neural Networks (GNNs) perform effectively when training and testing graphs are drawn from t...

RareAgents: Advancing Rare Disease Care through LLM-Empowered Multi-disciplinary Team

Rare diseases, despite their low individual incidence, collectively impact around 300 million peop...

Diversity in Software Engineering Education: Exploring Motivations, Influences, and Role Models Among Undergraduate Students

Software engineering (SE) faces significant diversity challenges in both academia and industry, wi...

Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation

Domain Generalized Semantic Segmentation (DGSS) seeks to utilize source domain data exclusively to...

Personalized LLM for Generating Customized Responses to the Same Query from Different Users

Existing work on large language model (LLM) personalization assigned different responding roles to...

The dark side of the forces: assessing non-conservative force models for atomistic machine learning

The use of machine learning to estimate the energy of a group of atoms, and the forces that drive ...

Relation-Guided Adversarial Learning for Data-free Knowledge Transfer

Data-free knowledge distillation transfers knowledge by recovering training data from a pre-traine...

GaussianProperty: Integrating Physical Properties to 3D Gaussians with LMMs

Estimating physical properties for visual data is a crucial task in computer vision, graphics, and...

Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework

This paper explores the application of large language models (LLMs) in nursing and elderly care, f...

Learning Camera Movement Control from Real-World Drone Videos

This study seeks to automate camera movement control for filming existing subjects into attractive...

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