Search Results for author: Jinrong Hu

Found 9 papers, 1 papers with code

Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection

no code implementations21 Jan 2025 ShiXuan Song, Hao Chen, Shu Hu, Xin Wang, Jinrong Hu, Xi Wu

Visual anomaly detection is a highly challenging task, often categorized as a one-class classification and segmentation problem.

Anomaly Segmentation Decoder +3

LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models

no code implementations31 Dec 2024 Hang Yang, Hao Chen, Hui Guo, Yineng Chen, Ching-Sheng Lin, Shu Hu, Jinrong Hu, Xi Wu, Xin Wang

Accurate and efficient question-answering systems are essential for delivering high-quality patient care in the medical field.

MedQA Question Answering +1

A Self-Learning Multimodal Approach for Fake News Detection

no code implementations8 Dec 2024 Hao Chen, Hui Guo, Baochen Hu, Shu Hu, Jinrong Hu, Siwei Lyu, Xi Wu, Xin Wang

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.

Contrastive Learning Fake News Detection +3

Uncertainty-Aware Explainable Recommendation with Large Language Models

no code implementations31 Jan 2024 Yicui Peng, Hao Chen, ChingSheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, Xin Wang

Providing explanations within the recommendation system would boost user satisfaction and foster trust, especially by elaborating on the reasons for selecting recommended items tailored to the user.

Explainable Recommendation Multi-Task Learning

Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation

no code implementations19 Apr 2023 Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu

As growing usage of social media websites in the recent decades, the amount of news articles spreading online rapidly, resulting in an unprecedented scale of potentially fraudulent information.

Contrastive Learning Misinformation +1

Study on Sparse Representation based Classification for Biometric Verification

no code implementations21 Feb 2015 Zengxi Huang, Yiguang Liu, Xiaoming Wang, Jinrong Hu

In this paper, we propose a multimodal verification system integrating face and ear based on sparse representation based classification (SRC).

Classification General Classification +1

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