Quanqiang Zhou

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A semi-supervised detection approach for group shilling attacks based on pseudo-labels.
Expert Syst. Appl.
Quanqiang Zhou, Kang Li
2025 J jnl
Autoencoder-Based Poisoning Attack Detection in Graph Recommender Systems.
Inf.
Quanqiang Zhou, Xi Zhao, Xiaoyue Zhang
2024 J jnl
A recommendation attack detection approach integrating CNN with Bagging.
Comput. Secur.
Quanqiang Zhou, Cheng Huang
2024 J jnl
PileNet: A high-and-low pass complementary filter with multi-level feature refinement for salient object detection.
J. Vis. Commun. Image Represent.
Xiaoqi Yang, Liangliang Duan, Quanqiang Zhou
2023 J jnl
Recommendation attack detection based on improved Meta Pseudo Labels.
Knowl. Based Syst.
Quanqiang Zhou, Kang Li, Liangliang Duan
2021 J jnl
Semi-supervised recommendation attack detection based on Co-Forest.
Comput. Secur.
Quanqiang Zhou, Liangliang Duan
2020 J jnl
Recommendation attack detection based on deep learning.
J. Inf. Secur. Appl.
Quanqiang Zhou, Jinxia Wu, Liangliang Duan
2016 J jnl
Supervised approach for detecting average over popular items attack in collaborative recommender systems.
IET Inf. Secur.
Quanqiang Zhou
2015 J jnl
Ensemble detection model for profile injection attacks in collaborative recommender systems based on BP neural network.
IET Inf. Secur.
Fuzhi Zhang, Quanqiang Zhou
2014 J jnl
HHT-SVM: An online method for detecting profile injection attacks in collaborative recommender systems.
Knowl. Based Syst.
Fuzhi Zhang, Quanqiang Zhou
2012 J jnl
A Meta-learning-based Approach for Detecting Profile Injection Attacks in Collaborative Recommender Systems.
J. Comput.
Fuzhi Zhang, Quanqiang Zhou