Jikui Wang

According to our database, Jikui Wang authored at least 12 papers between 2018 and 2025.

Collaborative distances:

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

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

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

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