RPDN: An Effective Rating Pollution Attacks Detection Framework for Recommendation Systems

Jan 1, 2025·
Yongrui Gu
Jianke Yu
Jianke Yu
,
Y. Z. Li
,
Peiting Xie
,
Xiaoyang Wang
,
Chen Chen
· 1 min read
CCF-C
Type
Publication
Pacific-Asia Conference on Knowledge Discovery and Data Mining
Status
Peer-reviewed
Awards
CCF-C
Pacific-Asia Conference on Knowledge Discovery and Data Mining · 2025
publications

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 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.