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ORCIDJiangzhou Deng
- > Home > Persons > Jiangzhou Deng
Publications
- 2026
[j25]Jianmei Ye, Heming Wang, Jiangzhou Deng
, Zhiqiang Zhang, Yong Wang, Zeshui Xu, Kobiljon Kh. Khushvakhtzoda:
Adaptive disentangled learning recommendation via similarity popularity. Appl. Intell. 56(1): 24 (2026)- [j24]Zhiqiang Zhang, Bo Li, Jiangzhou Deng, Yong Wang, Jianmei Ye, Zhuo Liu:
A logistic matrix factorization recommendation algorithm based on polynomial coefficient perturbation. Eng. Appl. Artif. Intell. 172: 114426 (2026) - [j23]Zhiqiang Zhang, Jiayi Zhao, Jiangzhou Deng, Jianmei Ye, Leo Yu Zhang, Yong Wang, Kobiljon Kh. Khushvakhtzoda:
Cross-model denoising and Spearman-based negative sample filling for implicit feedback recommendation. Expert Syst. Appl. 299: 130143 (2026) - [j22]Yongdong Wang, Zhiqiang Zhang, Chenhong Luo, Jiangzhou Deng, Jianmei Ye, Yong Wang, Kobiljon Kh. Khushvakhtzoda:
DPBPRMF: A rigorous differential privacy scheme with Bayesian personalized ranking for implicit recommendation. Neurocomputing 660: 131871 (2026) - [j21]Kun Wang, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Jingyuan Liu:
Privacy-preserving heterogeneous graph representation learning for recommendation. Inf. Process. Manag. 63(6): 104722 (2026) - [j20]Jiangzhou Deng, Songli Wang, Wu Qi, Jianmei Ye, Yong Wang:
A linguistically asymmetric similarity decision model integrating item tendency for rating predictions. J. Inf. Sci. 52(3): 746-762 (2026) - [j19]Jiangzhou Deng, Huilin Jin, Zhiqiang Zhang, Jianmei Ye, Yong Wang, Leo Yu Zhang, Kobiljon Kh. Khushvakhtzoda:
PGRM: Positive-unlabeled enhanced recommendation model based on generative adversarial network. Pattern Recognit. 176: 113209 (2026) - [j18]Zhiqiang Zhang, Qianhong Chen, Jiangzhou Deng, Leo Yu Zhang, Kobiljon Kh. Khushvakhtzoda, Yong Wang:
A Novel Differentially Private Implicit Recommendation Algorithm Based on Gradient Perturbation Optimization. IEEE Trans. Comput. Soc. Syst. 13(3): 3572-3584 (2026) - 2025
- [j17]Zhiqiang Zhang, Qi Wu, Jiangzhou Deng, Jianmei Ye, Fang Yang, Yong Wang, Kobiljon Kh. Khushvakhtzoda:
A novel noise reduction and interaction enrichment recommendation model via contrastive learning. Neurocomputing 645: 130469 (2025) - [j16]Yongdong Wang, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Jianmei Ye, Leo Yu Zhang:
Differentially private recommendation algorithm based on diffusion model and Rényi similarity. Inf. Sci. 721: 122565 (2025) - [j15]Hanyang Liu, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Yongdong Wang:
Comprehensive Privacy Analysis on Recommendation With Causal Embedding Against Model Inversion Attacks. IEEE Trans. Big Data 11(6): 3499-3512 (2025) - [j14]Jiangzhou Deng, Lei Zheng, Zhiqiang Zhang, Jianmei Ye, Yong Wang:
A simple yet effective enhanced collaborative filtering framework for mitigating noise and data sparsity: evidence from pervasive digital platform datasets. J. Supercomput. 81(12): 1237 (2025) - 2024
- [j13]Jiangzhou Deng, Junyu Chen, Songli Wang, Jianmei Ye, Yong Wang:
A novel fuzzy neural collaborative filtering for recommender systems. Expert Syst. Appl. 258: 125153 (2024) - [j12]Hanyang Liu, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Chao Chen, Leo Yu Zhang:
Matrix factorization recommender based on adaptive Gaussian differential privacy for implicit feedback. Inf. Process. Manag. 61(4): 103720 (2024) - [j10]Jiangzhou Deng, Songli Wang, Jianmei Ye, Lianghao Ji, Yong Wang:
DGRM: Diffusion-GAN recommendation model to alleviate the mode collapse problem in sparse environments. Pattern Recognit. 155: 110692 (2024) - 2023
- [j9]Jiangzhou Deng, Hongtao Li, Junpeng Guo, Leo Yu Zhang, Yong Wang:
Providing prediction reliability through deep neural networks for recommender systems. Comput. Ind. Eng. 185: 109627 (2023) - [j8]Jiangzhou Deng, Xun Ran, Yong Wang, Leo Yu Zhang, Junpeng Guo:
Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6220-6231 (2023) - 2021
- [j7]Junpeng Guo, Jiangzhou Deng, Xun Ran, Yong Wang, Hang Jin:
An efficient and accurate recommendation strategy using degree classification criteria for item-based collaborative filtering. Expert Syst. Appl. 164: 113756 (2021) - [j6]Wenhua Li, Xiaoguang Li, Jiangzhou Deng, Yong Wang, Junpeng Guo:
Sentiment based multi-index integrated scoring method to improve the accuracy of recommender system. Expert Syst. Appl. 179: 115105 (2021) - 2019
- [j5]Junpeng Guo, Jiangzhou Deng, Yong Wang:
An intuitionistic fuzzy set based hybrid similarity model for recommender system. Expert Syst. Appl. 135: 153-163 (2019) - [j4]Jiangzhou Deng, Yong Wang, Junpeng Guo, Yongheng Deng, Jerry Gao, Younghee Park:
A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data. J. Inf. Sci. 45(5) (2019) - [j3]Yong Wang, Yongdong Wang, Jiangzhou Deng, Pu Zhang:
融合Jensen-Shannon散度的推荐算法 (Recommendation Algorithm Based on Jensen-Shannon Divergence). 计算机科学 46(2): 210-214 (2019) - [j2]Jiangzhou Deng, Junpeng Guo, Yong Wang:
A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering. Knowl. Based Syst. 175: 96-106 (2019) - 2017
- [j1]Yong Wang, Jiangzhou Deng, Jerry Gao, Pu Zhang:
A hybrid user similarity model for collaborative filtering. Inf. Sci. 418: 102-118 (2017)
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