4 papers
Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization
Yunfei Nie, Jiawei Wang, Ruobing Yan +3
Financial transaction fraud prevention faces challenges such as complex relationship structures, concealed behavioral patterns, and dynamically changing data distribution. Discrimi…
Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference
Yujia Lou, Jie Liu, Yuan Sheng +3
This study proposes a method for imbalanced data classification based on deep probabilistic graphical models (DPGMs) to solve the problem that traditional methods have insufficient…
A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data
Qiuliuyang Bao, Jiawei Wang, Hao Gong +3
This paper proposes an algorithm based on a staged sliding window Transformer architecture to detect abnormal behaviors in the microstructure of the foreign exchange market, focusi…
Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration
Yiwei Zhang, Jie Liu, Jiawei Wang +3
This paper proposes a data privacy protection framework based on federated learning, which aims to realize effective cross-domain data collaboration under the premise of ensuring d…