Web Service Based Architecture and Ontology Based User Model for Cross-System Personalization. - Fuzhi Zhang; Zhizheng Song; He Zhang (Web Intelligence, 2006)

A Web service discovery algorithm based on dynamic composition. - Fuzhi Zhang; Yan Wang; Lin Wang (SNPD (2), 2007)

An Ant-Based Fast Text Clustering Approach Using Pheromone. - Fuzhi Zhang; Yujing Ma; Na Hou; Hui Liu (FSKD (2), 2008)

A User Trust-Based Collaborative Filtering Recommendation Algorithm. - Fuzhi Zhang; Long Bai 005; Feng Gao (ICICS, 2009)

A Meta-learning-based Approach for Detecting Profile Injection Attacks in Collaborative Recommender Systems. - Fuzhi Zhang; Quanqiang Zhou (J. Comput., 2012)

A Robust Collaborative Filtering Recommendation Algorithm Based on Multidimensional Trust Model. - Dongyan Jia; Fuzhi Zhang; Sai Liu (J. Softw., 2013)

A Robust Collaborative Recommendation Algorithm Incorporating Trustworthy Neighborhood Model. - Dongyan Jia; Fuzhi Zhang (J. Comput., 2014)

A Robust Collaborative Recommendation Algorithm Based on Least Median Squares Estimator. - Fuzhi Zhang; Shuangxia Sun (J. Comput., 2014)

An Adaptive Recommendation Method Based on Small-World Implicit Trust Network. - Fuzhi Zhang; Huan Wang; Huawei Yi (J. Comput., 2014)

HHT-SVM: An online method for detecting profile injection attacks in collaborative recommender systems. - Fuzhi Zhang; Quanqiang Zhou (Knowl. Based Syst., 2014)

Robust collaborative recommendation algorithm based on kernel function and Welsch reweighted M-estimator. - Fuzhi Zhang; Shuangxia Sun; Huawei Yi (IET Inf. Secur., 2015)

Ensemble detection model for profile injection attacks in collaborative recommender systems based on BP neural network. - Fuzhi Zhang; Quanqiang Zhou (IET Inf. Secur., 2015)

Robust recommendation method based on suspicious users measurement and multidimensional trust. - Huawei Yi; Fuzhi Zhang (J. Intell. Inf. Syst., 2016)

An ensemble method for detecting shilling attacks based on ordered item sequences. - Fuzhi Zhang; Honghong Chen (Secur. Commun. Networks, 2016)

A novel robust recommendation method based on kernel matrix factorization. - Hongtao Yu; Ruibo Gao; Kun Wang; Fuzhi Zhang (J. Intell. Fuzzy Syst., 2017)

CTF-ARA: An adaptive method for POI recommendation based on check-in and temporal features. - Yali Si; Fuzhi Zhang; Wenyuan Liu (Knowl. Based Syst., 2017)

Robust collaborative filtering based on non-negative matrix factorization and R1-norm. - Fuzhi Zhang; Yuanli Lu; Jianmin Chen; Shaoshuai Liu; Zhoujun Ling (Knowl. Based Syst., 2017)

Detecting shilling profiles in collaborative recommender systems via multidimensional profile temporal features. - Yaojun Hao; Fuzhi Zhang (IET Inf. Secur., 2018)

UD-HMM: An unsupervised method for shilling attack detection based on hidden Markov model and hierarchical clustering. - Fuzhi Zhang; Zening Zhang; Peng Zhang; Shilei Wang (Knowl. Based Syst., 2018)

Multiview Ensemble Method for Detecting Shilling Attacks in Collaborative Recommender Systems. - Yaojun Hao; Peng Zhang; Fuzhi Zhang (Secur. Commun. Networks, 2018)

An Unsupervised Method for Detecting Shilling Attacks in Recommender Systems by Mining Item Relationship and Identifying Target Items. - Hongyun Cai 002; Fuzhi Zhang (Comput. J., 2019)

Unsupervised approach for detecting shilling attacks in collaborative recommender systems based on user rating behaviours. - Fuzhi Zhang; Zhoujun Ling; Shilei Wang (IET Inf. Secur., 2019)

A Robust Bayesian Probabilistic Matrix Factorization Model for Collaborative Filtering Recommender Systems Based on User Anomaly Rating Behavior Detection. - Hongtao Yu; Lijun Sun; Fuzhi Zhang (KSII Trans. Internet Inf. Syst., 2019)

Detecting shilling attacks in recommender systems based on analysis of user rating behavior. - Hongyun Cai 002; Fuzhi Zhang (Knowl. Based Syst., 2019)

An adaptive point-of-interest recommendation method for location-based social networks based on user activity and spatial features. - Yali Si; Fuzhi Zhang; Wenyuan Liu (Knowl. Based Syst., 2019)

Detecting shilling attacks in social recommender systems based on time series analysis and trust features. - Yishu Xu; Fuzhi Zhang (Knowl. Based Syst., 2019)

Detecting Shilling Attacks with Automatic Features from Multiple Views. - Yaojun Hao; Fuzhi Zhang; Jian Wang; Qingshan Zhao; Jianfang Cao (Secur. Commun. Networks, 2019)

Label propagation-based approach for detecting review spammer groups on e-commerce websites. - Fuzhi Zhang; Xiaoyan Hao; Jinbo Chao; Shuai Yuan (Knowl. Based Syst., 2020)

Graph embedding-based approach for detecting group shilling attacks in collaborative recommender systems. - Fuzhi Zhang; Yueqi Qu; Yishu Xu; Shilei Wang (Knowl. Based Syst., 2020)

Detecting Group Shilling Attacks in Online Recommender Systems Based on Bisecting K-Means Clustering. - Fuzhi Zhang; Shilei Wang (IEEE Trans. Comput. Soc. Syst., 2020)

An Unsupervised Approach for Detecting Group Shilling Attacks in Recommender Systems Based on Topological Potential and Group Behaviour Features. - Hongyun Cai 002; Fuzhi Zhang (Secur. Commun. Networks, 2021)

An unsupervised detection method for shilling attacks based on deep learning and community detection. - Yaojun Hao; Fuzhi Zhang (Soft Comput., 2021)

BS-SC: An Unsupervised Approach for Detecting Shilling Profiles in Collaborative Recommender Systems. - Hongyun Cai 002; Fuzhi Zhang (IEEE Trans. Knowl. Data Eng., 2021)

Detecting collusive spammers on e-commerce websites based on reinforcement learning and adversarial autoencoder. - Fuzhi Zhang; Shuai Yuan; Jiayi Wu; Peng Zhang; Jinbo Chao (Expert Syst. Appl., 2022)

Detecting shilling groups in online recommender systems based on graph convolutional network. - Shilei Wang; Peng Zhang; Hui Wang; Hongtao Yu; Fuzhi Zhang (Inf. Process. Manag., 2022)

Detecting review spammer groups based on generative adversarial networks. - Fuzhi Zhang; Shuai Yuan; Peng Zhang; Jinbo Chao; Hongtao Yu (Inf. Sci., 2022)

Network Embedding-Based Approach for Detecting Collusive Spamming Groups on E-Commerce Platforms. - Jinbo Chao; Chunhui Zhao 004; Fuzhi Zhang (Secur. Commun. Networks, 2022)

Spammer Groups Detection Based on Hypergraph Embedding And Autoencoder Classifier Model. - Ru Ma; Jiachen Zhao; Chenghang Huo; Xiaodong Zhan; Fuzhi Zhang (EITCE, 2023)

An Overlapping Community Detection Approach Based on Deepwalk and Improved Label Propagation. - Hongtao Yu; Ru Ma; Jinbo Chao; Fuzhi Zhang (IEEE Trans. Comput. Soc. Syst., 2023)

Detecting collusive spammers with heterogeneous graph attention network. - Fuzhi Zhang; Jiayi Wu; Peng Zhang; Ru Ma; Hongtao Yu (Inf. Process. Manag., 2023)

Spammer Group Detection Approach Based on Deep Reinforcement Learning. - Chenghang Huo; Jindong Cui; Ru Ma; Yunfei Luo; Fuzhi Zhang (ICIC (9), 2024)

DHCL-BR: Dual Hypergraph Contrastive Learning for Bundle Recommendation. - Peng Zhang 099; Zhendong Niu; Ru Ma; Fuzhi Zhang (Comput. J., 2024)

Detecting Group Shilling Attacks In Recommender Systems Based On User Multi-dimensional Features And Collusive Behaviour Analysis. - Yishu Xu; Peng Zhang 099; Hongtao Yu; Fuzhi Zhang (Comput. J., 2024)

Multi-view graph contrastive representation learning for bundle recommendation. - Peng Zhang 099; Zhendong Niu; Ru Ma; Fuzhi Zhang (Inf. Process. Manag., 2025)

Towards self-interpretable review spammer group detection. - Chenghang Huo; Fuzhi Zhang (Inf. Sci., 2025)

Local interpretable spammer detection model with multi-head graph channel attention network. - Fuzhi Zhang; Chenghang Huo; Ru Ma; Jinbo Chao (Neural Networks, 2025)

Self-supervised deep clustering for spammer group detection. - Changwu Wang; Zhongkai Feng; Kun Zhang; Fuzhi Zhang (Appl. Intell., 2025)