Kobiljon Kh. Khushvakhtzoda

According to our database, Kobiljon Kh. Khushvakhtzoda authored at least 6 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Novel Differentially Private Implicit Recommendation Algorithm Based on Gradient Perturbation Optimization.

Zhiqiang Zhang, Qianhong Chen, Jiangzhou Deng, Leo Yu Zhang, Kobiljon Kh. Khushvakhtzoda, Yong Wang

IEEE Trans. Comput. Soc. Syst., June, 2026

Adaptive disentangled learning recommendation via similarity popularity.

Jianmei Ye, Heming Wang, Jiangzhou Deng, Zhiqiang Zhang, Yong Wang, Zeshui Xu, Kobiljon Kh. Khushvakhtzoda

Appl. Intell., January, 2026

PGRM: Positive-unlabeled enhanced recommendation model based on generative adversarial network.

Jiangzhou Deng, Huilin Jin, Zhiqiang Zhang, Jianmei Ye, Yong Wang, Leo Yu Zhang, Kobiljon Kh. Khushvakhtzoda

Pattern Recognit., 2026

DPBPRMF: A rigorous differential privacy scheme with Bayesian personalized ranking for implicit recommendation.

Yongdong Wang, Zhiqiang Zhang, Chenhong Luo, Jiangzhou Deng, Jianmei Ye, Yong Wang, Kobiljon Kh. Khushvakhtzoda

Neurocomputing, 2026

Cross-model denoising and Spearman-based negative sample filling for implicit feedback recommendation.

Zhiqiang Zhang, Jiayi Zhao, Jiangzhou Deng, Jianmei Ye, Leo Yu Zhang, Yong Wang, Kobiljon Kh. Khushvakhtzoda

Expert Syst. Appl., 2026

2025

A novel noise reduction and interaction enrichment recommendation model via contrastive learning.

Zhiqiang Zhang, Qi Wu, Jiangzhou Deng, Jianmei Ye, Fang Yang, Yong Wang, Kobiljon Kh. Khushvakhtzoda

Neurocomputing, 2025