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

Jan 1, 2025·
Yue 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, 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.