Jiangzhou Deng

25 papers Journal 24Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A logistic matrix factorization recommendation algorithm based on polynomial coefficient perturbation.
Eng. Appl. Artif. Intell.
Zhiqiang Zhang, Bo Li, Jiangzhou Deng, Yong Wang, Jianmei Ye, Zhuo Liu
2026 J jnl
Adaptive disentangled learning recommendation via similarity popularity.
Appl. Intell.
Jianmei Ye, Heming Wang, Jiangzhou Deng, Zhiqiang Zhang, Yong Wang, Zeshui Xu, Kobiljon Kh. Khushvakhtzoda
2026 J jnl
Cross-model denoising and Spearman-based negative sample filling for implicit feedback recommendation.
Expert Syst. Appl.
Zhiqiang Zhang, Jiayi Zhao, Jiangzhou Deng, Jianmei Ye, Leo Yu Zhang, Yong Wang, Kobiljon Kh. Khushvakhtzoda
2026 J jnl
DPBPRMF: A rigorous differential privacy scheme with Bayesian personalized ranking for implicit recommendation.
Neurocomputing
Yongdong Wang, Zhiqiang Zhang, Chenhong Luo, Jiangzhou Deng, Jianmei Ye, Yong Wang, Kobiljon Kh. Khushvakhtzoda
2026 J jnl
PGRM: Positive-unlabeled enhanced recommendation model based on generative adversarial network.
Pattern Recognit.
Jiangzhou Deng, Huilin Jin, Zhiqiang Zhang, Jianmei Ye, Yong Wang, Leo Yu Zhang, Kobiljon Kh. Khushvakhtzoda
2026 J jnl
Privacy-preserving heterogeneous graph representation learning for recommendation.
Inf. Process. Manag.
Kun Wang, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Jingyuan Liu
2025 J jnl
A novel noise reduction and interaction enrichment recommendation model via contrastive learning.
Neurocomputing
Zhiqiang Zhang, Qi Wu, Jiangzhou Deng, Jianmei Ye, Fang Yang, Yong Wang, Kobiljon Kh. Khushvakhtzoda
2025 J jnl
A simple yet effective enhanced collaborative filtering framework for mitigating noise and data sparsity: evidence from pervasive digital platform datasets.
J. Supercomput.
Jiangzhou Deng, Lei Zheng, Zhiqiang Zhang, Jianmei Ye, Yong Wang
2025 J jnl
Comprehensive Privacy Analysis on Recommendation With Causal Embedding Against Model Inversion Attacks.
IEEE Trans. Big Data
Hanyang Liu, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Yongdong Wang
2025 J jnl
Differentially private recommendation algorithm based on diffusion model and Rényi similarity.
Inf. Sci.
Yongdong Wang, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Jianmei Ye, Leo Yu Zhang
2025 J jnl
Dual-disentangle Framework for Diversified Sequential Recommendation.
CoRR
Haoran Zhang, Jingtong Liu, Jiangzhou Deng, Junpeng Guo
2024 J jnl
A novel fuzzy neural collaborative filtering for recommender systems.
Expert Syst. Appl.
Jiangzhou Deng, Junyu Chen, Songli Wang, Jianmei Ye, Yong Wang
2024 J jnl
A novel joint neural collaborative filtering incorporating rating reliability.
Inf. Sci.
Jiangzhou Deng, Qi Wu, Songli Wang, Jianmei Ye, Pengcheng Wang, Maokang Du
2024 J jnl
DGRM: Diffusion-GAN recommendation model to alleviate the mode collapse problem in sparse environments.
Pattern Recognit.
Jiangzhou Deng, Songli Wang, Jianmei Ye, Lianghao Ji, Yong Wang
2024 J jnl
Matrix factorization recommender based on adaptive Gaussian differential privacy for implicit feedback.
Inf. Process. Manag.
Hanyang Liu, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Chao Chen, Leo Yu Zhang
2023 J jnl
Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources.
IEEE Trans. Syst. Man Cybern. Syst.
Jiangzhou Deng, Xun Ran, Yong Wang, Leo Yu Zhang, Junpeng Guo
2023 J jnl
Providing prediction reliability through deep neural networks for recommender systems.
Comput. Ind. Eng.
Jiangzhou Deng, Hongtao Li, Junpeng Guo, Leo Yu Zhang, Yong Wang
2021 J jnl
An efficient and accurate recommendation strategy using degree classification criteria for item-based collaborative filtering.
Expert Syst. Appl.
Junpeng Guo, Jiangzhou Deng, Xun Ran, Yong Wang, Hang Jin
2021 J jnl
Sentiment based multi-index integrated scoring method to improve the accuracy of recommender system.
Expert Syst. Appl.
Wenhua Li, Xiaoguang Li, Jiangzhou Deng, Yong Wang, Junpeng Guo
2019 J jnl
A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering.
Knowl. Based Syst.
Jiangzhou Deng, Junpeng Guo, Yong Wang
2019 J jnl
A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data.
J. Inf. Sci.
Jiangzhou Deng, Yong Wang, Junpeng Guo, Yongheng Deng, Jerry Gao, Younghee Park
2019 J jnl
An intuitionistic fuzzy set based hybrid similarity model for recommender system.
Expert Syst. Appl.
Junpeng Guo, Jiangzhou Deng, Yong Wang
2019 J jnl
融合Jensen-Shannon散度的推荐算法 (Recommendation Algorithm Based on Jensen-Shannon Divergence).
计算机科学
Yong Wang, Yongdong Wang, Jiangzhou Deng, Pu Zhang
2017 J jnl
A hybrid user similarity model for collaborative filtering.
Inf. Sci.
Yong Wang, Jiangzhou Deng, Jerry Gao, Pu Zhang
2016 — conf
Competitive recommendation algorithm for E-commerce.
ICNC-FSKD
Umutoni Nadine, Huiying Cao, Jiangzhou Deng