Fuzhi Zhang

Orcid: 0000-0002-9595-3589

According to our database1, Fuzhi Zhang authored at least 41 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Detecting Group Shilling Attacks In Recommender Systems Based On User Multi-dimensional Features And Collusive Behaviour Analysis.
Comput. J., February, 2024

2023
Detecting collusive spammers with heterogeneous graph attention network.
Inf. Process. Manag., May, 2023

An Overlapping Community Detection Approach Based on Deepwalk and Improved Label Propagation.
IEEE Trans. Comput. Soc. Syst., February, 2023

Spammer Groups Detection Based on Hypergraph Embedding And Autoencoder Classifier Model.
Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023

2022
Network Embedding-Based Approach for Detecting Collusive Spamming Groups on E-Commerce Platforms.
Secur. Commun. Networks, 2022

Detecting review spammer groups based on generative adversarial networks.
Inf. Sci., 2022

Detecting shilling groups in online recommender systems based on graph convolutional network.
Inf. Process. Manag., 2022

Detecting collusive spammers on e-commerce websites based on reinforcement learning and adversarial autoencoder.
Expert Syst. Appl., 2022

2021
BS-SC: An Unsupervised Approach for Detecting Shilling Profiles in Collaborative Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2021

An unsupervised detection method for shilling attacks based on deep learning and community detection.
Soft Comput., 2021

An Unsupervised Approach for Detecting Group Shilling Attacks in Recommender Systems Based on Topological Potential and Group Behaviour Features.
Secur. Commun. Networks, 2021

2020
Detecting Group Shilling Attacks in Online Recommender Systems Based on Bisecting K-Means Clustering.
IEEE Trans. Comput. Soc. Syst., 2020

Graph embedding-based approach for detecting group shilling attacks in collaborative recommender systems.
Knowl. Based Syst., 2020

Label propagation-based approach for detecting review spammer groups on e-commerce websites.
Knowl. Based Syst., 2020

2019
Detecting Shilling Attacks with Automatic Features from Multiple Views.
Secur. Commun. Networks, 2019

Detecting shilling attacks in social recommender systems based on time series analysis and trust features.
Knowl. Based Syst., 2019

An adaptive point-of-interest recommendation method for location-based social networks based on user activity and spatial features.
Knowl. Based Syst., 2019

Detecting shilling attacks in recommender systems based on analysis of user rating behavior.
Knowl. Based Syst., 2019

A Robust Bayesian Probabilistic Matrix Factorization Model for Collaborative Filtering Recommender Systems Based on User Anomaly Rating Behavior Detection.
KSII Trans. Internet Inf. Syst., 2019

Unsupervised approach for detecting shilling attacks in collaborative recommender systems based on user rating behaviours.
IET Inf. Secur., 2019

An Unsupervised Method for Detecting Shilling Attacks in Recommender Systems by Mining Item Relationship and Identifying Target Items.
Comput. J., 2019

2018
Multiview Ensemble Method for Detecting Shilling Attacks in Collaborative Recommender Systems.
Secur. Commun. Networks, 2018

UD-HMM: An unsupervised method for shilling attack detection based on hidden Markov model and hierarchical clustering.
Knowl. Based Syst., 2018

Detecting shilling profiles in collaborative recommender systems via multidimensional profile temporal features.
IET Inf. Secur., 2018

2017
Robust collaborative filtering based on non-negative matrix factorization and R<sub>1</sub>-norm.
Knowl. Based Syst., 2017

CTF-ARA: An adaptive method for POI recommendation based on check-in and temporal features.
Knowl. Based Syst., 2017

A novel robust recommendation method based on kernel matrix factorization.
J. Intell. Fuzzy Syst., 2017

2016
An ensemble method for detecting shilling attacks based on ordered item sequences.
Secur. Commun. Networks, 2016

Robust recommendation method based on suspicious users measurement and multidimensional trust.
J. Intell. Inf. Syst., 2016

2015
Ensemble detection model for profile injection attacks in collaborative recommender systems based on BP neural network.
IET Inf. Secur., 2015

Robust collaborative recommendation algorithm based on kernel function and Welsch reweighted M-estimator.
IET Inf. Secur., 2015

2014
HHT-SVM: An online method for detecting profile injection attacks in collaborative recommender systems.
Knowl. Based Syst., 2014

An Adaptive Recommendation Method Based on Small-World Implicit Trust Network.
J. Comput., 2014

A Robust Collaborative Recommendation Algorithm Based on Least Median Squares Estimator.
J. Comput., 2014

A Robust Collaborative Recommendation Algorithm Incorporating Trustworthy Neighborhood Model.
J. Comput., 2014

2013
A Robust Collaborative Filtering Recommendation Algorithm Based on Multidimensional Trust Model.
J. Softw., 2013

2012
A Meta-learning-based Approach for Detecting Profile Injection Attacks in Collaborative Recommender Systems.
J. Comput., 2012

2009
A User Trust-Based Collaborative Filtering Recommendation Algorithm.
Proceedings of the Information and Communications Security, 11th International Conference, 2009

2008
An Ant-Based Fast Text Clustering Approach Using Pheromone.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007
A Web service discovery algorithm based on dynamic composition.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

2006
Web Service Based Architecture and Ontology Based User Model for Cross-System Personalization.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006


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