Feipeng Guo

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Influential node identification method based on local and global information considering the sum of 1st to Kth order neighbors.
Data Knowl. Eng.
Feipeng Guo, Jianwei Sun, Qibei Lu, Shaobo Ji
2025 J jnl
KEMB-Rec: Knowledge-Enhanced Explainable Multibehavior Recommendation With Graph Contrastive Learning.
IEEE Internet Things J.
Feipeng Guo, Zifan Wang
2024 J jnl
Dual-view multi-modal contrastive learning for graph-based recommender systems.
Comput. Electr. Eng.
Feipeng Guo, Zifan Wang, Xiaopeng Wang, Qibei Lu, Shaobo Ji
2024 J jnl
Joint friend and item recommendation based on multidimensional feature reciprocal interaction in social e-commerce.
Electron. Commer. Res. Appl.
Wei Zhou, Feipeng Guo, Huijian Xu, Zhaoxiang Wang
2023 J jnl
A link prediction method based on topological nearest-neighbors similarity in directed networks.
J. Comput. Sci.
Feipeng Guo, Wei Zhou, Zifan Wang, Chunhua Ju, Shaobo Ji, Qibei Lu
2022 J jnl
Mobile Social Recommendation Model Integrating Users' Personality Traits and Relationship Strength under Privacy Concerns.
Syst.
Qibei Lu, Feipeng Guo, Wei Zhou, Zifan Wang, Shaobo Ji
2022 J jnl
Path extension similarity link prediction method based on matrix algebra in directed networks.
Comput. Commun.
Feipeng Guo, Wei Zhou, Qibei Lu, Chen Zhang
2019 J jnl
A novel estimation model for user relationship intensity in social network.
Int. J. Wirel. Mob. Comput.
Huijian Xu, Wanqiong Tao, Feipeng Guo
2019 J jnl
User-based collaborative filtering recommendation method combining with privacy concerns intensity in mobile commerce.
Int. J. Wirel. Mob. Comput.
Qibei Lu, Feipeng Guo, Ruoyi Zhang
2018 J jnl
Mobile Personalized Service Recommender Model Based on Sentiment Analysis and Privacy Concern.
Mob. Inf. Syst.
Liang Xiao, Feipeng Guo, Qibei Lu
2016 J jnl
A novel e-commerce customer continuous purchase recommendation model research based on colony clustering.
Int. J. Wirel. Mob. Comput.
Qibei Lu, Feipeng Guo
2008 — conf
Research and Application of Customer Churn Analysis in Chain Retail Industry.
ISECS
Chunhua Ju, Feipeng Guo
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski