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

14 citations · 48 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO202413 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.CL20249 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.CR202411 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.LG202414 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…

cs.CL20241 cited

Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue Summarization

Jianfei Xiao, Yancan Chen, Yimin Ou +3

Large language models (LLMs) like Llama, Baichuan and Bloom models show remarkable ability with instruction fine-tuning in many natural language tasks. Nevertheless, for the dialog…