20 citations · 99 across the 10 of their papers we have counts for
10 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…
Credit Card Fraud Detection Using Advanced Transformer Model
Chang Yu, Yongshun Xu, Jin Cao +3
With the proliferation of various online and mobile payment systems, credit card fraud has emerged as a significant threat to financial security. This study focuses on innovative a…
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…
Development and Application of a Monte Carlo Tree Search Algorithm for Simulating Da Vinci Code Game Strategies
Ye Zhang, Mengran Zhu, Kailin Gui +3
In this study, we explore the efficiency of the Monte Carlo Tree Search (MCTS), a prominent decision-making algorithm renowned for its effectiveness in complex decision environment…
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…
Utilizing Deep Learning for Enhancing Network Resilience in Finance
Yulu Gong, Mengran Zhu, Shuning Huo +2
In the age of the Internet, people's lives are increasingly dependent on today's network technology. Maintaining network integrity and protecting the legitimate interests of users…
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
Mengran Zhu, Yulu Gong, Yafei Xiang +2
Anomaly detection is a critical challenge across various research domains, aiming to identify instances that deviate from normal data distributions. This paper explores the applica…