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 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, A/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.