Jikui Wang

According to our database, Jikui Wang authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Computing Maximal Per-Record Leakage and Leakage-Distortion Functions for Privacy Mechanisms under Entropy-Constrained Adversaries.

Genqiang Wu, Xiaoying Zhang, Yu Qi, Hao Wang, Jikui Wang, Yeping He

CoRR, February, 2026

Fuzzy clustering algorithm with locality preserving based on anchor graph.

Jikui Wang, Feifei Liu, Chengzhu Ji, Xiran Li, Feiping Nie

Pattern Recognit., 2026

Embedded fuzzy C-means joint row-sparse principal component analysis.

Jikui Wang, Xiran Li, Yuqi Ma, Feifei Liu, Feiping Nie

Inf. Sci., 2026

Fast fuzzy clustering via sparse anchor graph with manifold and balance regularizations.

Jikui Wang, Yuqi Ma, Cuihong Zhang, Baocheng Yao, Ruijuan Zhao, Feiping Nie

Inf. Fusion, 2026

2025

A robust self-training algorithm based on relative node graph.

Jikui Wang, Huiyu Duan, Cuihong Zhang, Feiping Nie

Appl. Intell., January, 2025

Fast anchor graph optimized projections with principal component analysis and entropy regularization.

Jikui Wang, Cuihong Zhang, Wei Zhao, Xueyan Huang, Feiping Nie

Inf. Sci., 2025

A Band Selection Approach Based on a Mass-Based Metric and Shared Nearest-Neighbours for Hyperspectral Images.

Jikui Wang, Chengzhu Ji, Feifei Liu, Baocheng Yao, Qingsheng Shang, Feiping Nie

IET Image Process., 2025

A parameter-free self-training algorithm based on the three successive confirmation rule.

Jikui Wang, Wei Zhao, Qingsheng Shang, Feiping Nie

Eng. Appl. Artif. Intell., 2025

2024

Fast anchor graph preserving projections.

Jikui Wang, Yiwen Wu, Bing Li, Zhenguo Yang, Feiping Nie

Pattern Recognit., February, 2024

Projected fuzzy c-means clustering algorithm with instance penalty.

Jikui Wang, Yiwen Wu, Xueyan Huang, Cuihong Zhang, Feiping Nie

Expert Syst. Appl., 2024

Structure preserved fast dimensionality reduction.

Jihai Yi, Huiyu Duan, Jikui Wang, Zhengguo Yang, Feiping Nie

Appl. Soft Comput., 2024

Joint Optimization Method of Dimensionality Reduction and Clustering for Big Data.

Feifei Liu, Jikui Wang, Qiang Xiao

Proceedings of the 2024 3rd International Conference on Artificial Intelligence and Education, 2024

2023

A self-training algorithm based on the two-stage data editing method with mass-based dissimilarity.

Jikui Wang, Yiwen Wu, Shaobo Li, Feiping Nie

Neural Networks, November, 2023

Fast semi-supervised self-training algorithm based on data editing.

Bing Li, Jikui Wang, Zhengguo Yang, Jihai Yi, Feiping Nie

Inf. Sci., May, 2023

Graph optimization for unsupervised dimensionality reduction with probabilistic neighbors.

Zhengguo Yang, Jikui Wang, Qiang Li, Jihai Yi, Xuewen Liu, Feiping Nie

Appl. Intell., 2023

2022

Projected fuzzy C-means with probabilistic neighbors.

Jikui Wang, Zhengguo Yang, Xuewen Liu, Bing Li, Jihai Yi, Feiping Nie

Inf. Sci., 2022

2020

Clustering by Unified Principal Component Analysis and Fuzzy C-Means with Sparsity Constraint.

Jikui Wang, Quanfu Shi, Zhengguo Yang, Feiping Nie

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2018

I-nice: A new approach for identifying the number of clusters and initial cluster centres.

Md Abdul Masud, Joshua Zhexue Huang, Chenghao Wei, Jikui Wang, Imran Khan, Ming Zhong

Inf. Sci., 2018

SGB-ELM: An Advanced Stochastic Gradient Boosting-Based Ensemble Scheme for Extreme Learning Machine.

Hua Guo, Jikui Wang, Wei Ao, Yulin He

Comput. Intell. Neurosci., 2018