most citedRumor Detection with a novel graph neural network approach

1 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CE2024

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…

cs.CV2024

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…

cs.AI20241 cited

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…

cs.LG20241 cited

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…

cs.AI2024

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…

cs.AI2024

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…