7 papers
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
Yuxin Dong, Jianhua Yao, Jiajing Wang +3
Financial fraud refers to the act of obtaining financial benefits through dishonest means. Such behavior not only disrupts the order of the financial market but also harms economic…
Electroencephalogram Emotion Recognition via AUC Maximization
Minheng Xiao
Imbalanced datasets pose significant challenges in areas including neuroscience, cognitive science, and medical diagnostics, where accurately detecting minority classes is essentia…
Root Cause Attribution of Delivery Risks via Causal Discovery with Reinforcement Learning
Minheng Xiao
This paper presents a novel approach to root cause attribution of delivery risks within supply chains by integrating causal discovery with reinforcement learning. As supply chains…
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems
Minheng Xiao, Zhizhong Wu
This paper introduces the Multiple Greedy Quasi-Newton (MGSR1-SP) method, a novel approach to solving strongly-convex-strongly-concave (SCSC) saddle point problems. Our method enha…
Time-Series K-means in Causal Inference and Mechanism Clustering for Financial Data
Minheng Xiao
This paper investigates the application of Time Series K-means (TS-K-means) within the context of causal inference and mechanism clustering of financial time series data. Tradition…
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning
Zixiang Wang, Hao Yan, Changsong Wei +2
The behavior decision-making subsystem is a key component of the autonomous driving system, which reflects the decision-making ability of the vehicle and the driver, and is an impo…