most citedEnsemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble

20 citations · 43 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL2024

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…

cs.LG2024

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…

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.AI202410 cited

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…

cs.CE202420 cited

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…

eess.IV202413 cited

DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans

Ye Zhang, Yulu Gong, Dongji Cui +2

Gastrointestinal (GI) tract cancers pose a global health challenge, demanding precise radiotherapy planning for optimal treatment outcomes. This paper introduces a cutting-edge app…