AEFA: An Ensemble Framework for Fraud Detection in the Forex Market

Oct 18, 2025·
Weiyuan Wang
Jianke Yu
Jianke Yu
,
Zhengyi Yang
,
Mingchen Ju
,
Shuyue Yu
,
Jinglin Wu
,
Lifan Liu
,
Yongfei Liu
,
John A. Shepherd
,
Wenjie Zhang
· 1 min read
CCF-C
Type
Publication
International Conference on Advanced Data Mining and Applications
Status
Peer-reviewed
Awards
CCF-C
International Conference on Advanced Data Mining and Applications · 2025
publications

International Conference on Advanced Data Mining and Applications, 2025

Jianke Yu
Authors
Jianke Yu (he/him)
PhD (2026) in Graph Machine Learning & Databases
I completed my PhD at the University of Technology Sydney (UTS) in 2026, supervised by Prof. Ying Zhang, Prof. Lu Qin and Dr Hanchen Wang. My research develops machine learning algorithms for graph-structured data and database systems — graph neural network architectures, and learning-based methods that improve database and data-mining algorithms (fraud detection, graph similarity, supergraph search, malware detection). My work has appeared in KDD and IEEE TKDE. I am joining Zhejiang Gongshang University as a faculty member in 2027.