7 citations · 19 across the 6 of their papers we have counts for
6 papers
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
Hang Yang, Hao Chen, Hui Guo +6
Accurate and efficient question-answering systems are essential for delivering high-quality patient care in the medical field. While Large Language Models (LLMs) have made remarkab…
Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection
Shixuan Song, Hao Chen, Shu Hu +3
Visual anomaly detection is a highly challenging task, often categorized as a one-class classification and segmentation problem. Recent studies have demonstrated that the student-t…
A Self-Learning Multimodal Approach for Fake News Detection
Hao Chen, Hui Guo, Baochen Hu +5
The rapid growth of social media has resulted in an explosion of online news content, leading to a significant increase in the spread of misleading or false information. While mach…
Uncertainty-Aware Explainable Recommendation with Large Language Models
Yicui Peng, Hao Chen, Chingsheng Lin +7
Providing explanations within the recommendation system would boost user satisfaction and foster trust, especially by elaborating on the reasons for selecting recommended items tai…
X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection
Lei Zhang, Hao Chen, Shu Hu +5
Generative adversarial networks (GANs) have remarkably advanced in diverse domains, especially image generation and editing. However, the misuse of GANs for generating deceptive im…
LKPNR: LLM and KG for Personalized News Recommendation Framework
Chen hao, Xie Runfeng, Cui Xiangyang +4
Accurately recommending candidate news articles to users is a basic challenge faced by personalized news recommendation systems. Traditional methods are usually difficult to grasp…