most citedUtilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data

14 citations · 60 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 13 cited

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…

cs.RO2024★ 13 cited

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…

cs.CL2024★ 9 cited

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…

cs.CR2024★ 11 cited

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…

cs.LG2024★ 14 cited

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…