20 citations · 93 across the 8 of their papers we have counts for
9 papers
Enhancing Text Authenticity: A Novel Hybrid Approach for AI-Generated Text Detection
Ye Zhang, Qian Leng, Mengran Zhu +4
The rapid advancement of Large Language Models (LLMs) has ushered in an era where AI-generated text is increasingly indistinguishable from human-generated content. Detecting AI-gen…
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…
Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble
Mengran Zhu, Ye Zhang, Yulu Gong +3
In the realm of consumer lending, accurate credit default prediction stands as a critical element in risk mitigation and lending decision optimization. Extensive research has sough…
Deep Learning Approaches for Improving Question Answering Systems in Hepatocellular Carcinoma Research
Shuning Huo, Yafei Xiang, Hanyi Yu +2
In recent years, advancements in natural language processing (NLP) have been fueled by deep learning techniques, particularly through the utilization of powerful computing resource…
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving
Hanyi Yu, Shuning Huo, Mengran Zhu +2
In recent years, the expansion of internet technology and advancements in automation have brought significant attention to autonomous driving technology. Major automobile manufactu…
Text Understanding and Generation Using Transformer Models for Intelligent E-commerce Recommendations
Yafei Xiang, Hanyi Yu, Yulu Gong +2
With the rapid development of artificial intelligence technology, Transformer structural pre-training model has become an important tool for large language model (LLM) tasks. In th…