3 papers
cs.LG2025
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…
cs.LG2025
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…
cs.LG2025
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…