6 papers
Image Captioning in news report scenario
Tianrui Liu, Qi Cai, Changxin Xu +4
Image captioning strives to generate pertinent captions for specified images, situating itself at the crossroads of Computer Vision (CV) and Natural Language Processing (NLP). This…
Rumor Detection with a novel graph neural network approach
Tianrui Liu, Qi Cai, Changxin Xu +4
The wide spread of rumors on social media has caused a negative impact on people's daily life, leading to potential panic, fear, and mental health problems for the public. How to d…
Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach
Changxin Xu, Yuxin Qiao, Zhanxin Zhou +2
Federated Learning (FL) is a distributed machine learning paradigm that allows clients to train models on their data while preserving their privacy. FL algorithms, such as Federate…
Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach
Mengran Zhu, Ye Zhang, Yulu Gong +2
Credit card fraud detection is a critical challenge in the financial sector, demanding sophisticated approaches to accurately identify fraudulent transactions. This research propos…
Particle Filter SLAM for Vehicle Localization
Tianrui Liu, Changxin Xu, Yuxin Qiao +2
Simultaneous Localization and Mapping (SLAM) presents a formidable challenge in robotics, involving the dynamic construction of a map while concurrently determining the precise loc…
News Recommendation with Attention Mechanism
Tianrui Liu, Changxin Xu, Yuxin Qiao +2
This paper explores the area of news recommendation, a key component of online information sharing. Initially, we provide a clear introduction to news recommendation, defining the…