Yingxu Wang

According to our database, Yingxu Wang authored at least 27 papers between 2017 and 2025.

Collaborative distances:

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

2025

Cross-View Representation Learning-Based Deep Multiview Clustering With Adaptive Graph Constraint.

Chen Zhang, Yingxu Wang, Xuesong Wang, C. L. Philip Chen, Long Chen, Yuehui Chen, Tao Du, Cheng Yang, Bowen Liu, Jin Zhou

IEEE Trans. Neural Networks Learn. Syst., July, 2025

2024

IFKMHC: Implicit Fuzzy K-Means Model for High-Dimensional Data Clustering.

Zhaoyin Shi, Long Chen, Weiping Ding, Xiaopin Zhong, Zongze Wu, Guang-Yong Chen, Chuanbin Zhang, Yingxu Wang, C. L. Philip Chen

IEEE Trans. Cybern., December, 2024

Robust deep fuzzy K-means clustering for image data.

Xiaoling Wu, Yu-Feng Yu, Long Chen, Weiping Ding, Yingxu Wang

Pattern Recognit., 2024

Selective multiple kernel fuzzy clustering with locality preserved ensemble.

Chuanbin Zhang, Long Chen, Yu-Feng Yu, Yin-Ping Zhao, Zhaoyin Shi, Yingxu Wang, Weihua Bai

Knowl. Based Syst., 2024

Visible-Hidden Multi-view Collaborative Fuzzy Clustering Based on Graph Constraints.

Jiahao Mei, Chen Zhang, Jin Zhou, Shiyuan Han, Yingxu Wang, Tao Du, Cheng Yang, Bowen Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Graph Embedding-Based Deep Multi-view Clustering.

Cong Chen, Jin Zhou, Shiyuan Han, Yingxu Wang, Tao Du, Cheng Yang, Bowen Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Parameter-Free Robust Ensemble Framework of Fuzzy Clustering.

Zhaoyin Shi, Long Chen, Weiping Ding, Chuanbin Zhang, Yingxu Wang

IEEE Trans. Fuzzy Syst., December, 2023

Cooperative linear regression model for image set classification.

Yu-Feng Yu, Xian-Liang Wang, Long Chen, Yingxu Wang, Guoxia Xu

Expert Syst. Appl., November, 2023

Low-rank kernel regression with preserved locality for multi-class analysis.

Yingxu Wang, Long Chen, Jin Zhou, Tianjun Li, Yufeng Yu

Pattern Recognit., September, 2023

Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement.

Guojin Zhong, Weiping Ding, Long Chen, Yingxu Wang, Yu-Feng Yu

IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

Pairwise constraints-based semi-supervised fuzzy clustering with multi-manifold regularization.

Yingxu Wang, Long Chen, Jin Zhou, Tianjun Li, Yufeng Yu

Inf. Sci., August, 2023

Subspace-based minority oversampling for imbalance classification.

Tianjun Li, Yingxu Wang, Licheng Liu, Long Chen, C. L. Philip Chen

Inf. Sci., April, 2023

Graph Enhanced Fuzzy Clustering for Categorical Data Using a Bayesian Dissimilarity Measure.

Chuanbin Zhang, Long Chen, Yin-Ping Zhao, Yingxu Wang, C. L. Philip Chen

IEEE Trans. Fuzzy Syst., March, 2023

Random Feature-Based Collaborative Kernel Fuzzy Clustering for Distributed Peer-to-Peer Networks.

Yingxu Wang, Shiyuan Han, Jin Zhou, Long Chen, C. L. Philip Chen, Tong Zhang, Zhulin Liu, Lin Wang, Yuehui Chen

IEEE Trans. Fuzzy Syst., February, 2023

Guided Filter-Based Fuzzy Clustering for General Data Analysis.

Yingxu Wang, Qingxue Qin, Jin Zhou, Yuehui Chen, Shiyuan Han, Lin Wang, Tao Du, Ke Ji, Ya-ou Zhao, Kun Zhang

Int. J. Fuzzy Syst., 2023

Deep Multi-view Clustering Based on Graph Embedding.

Chen Zhang, Weidong Zhou, Jin Zhou, Yingxu Wang, Shiyuan Han, Tao Du, Cheng Yang, Bowen Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Graph-Based Short Text Clustering via Contrastive Learning with Graph Embedding.

Yujie Wei, Weidong Zhou, Jin Zhou, Yingxu Wang, Shiyuan Han, Tao Du, Cheng Yang, Bowen Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

BYOL Network Based Contrastive Clustering.

Xuehao Chen, Weidong Zhou, Jin Zhou, Yingxu Wang, Shiyuan Han, Tao Du, Cheng Yang, Bowen Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Tensor-Based Robust Principal Component Analysis With Locality Preserving Graph and Frontal Slice Sparsity for Hyperspectral Image Classification.

Yingxu Wang, Tianjun Li, Long Chen, Yufeng Yu, Yin-Ping Zhao, Jin Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

Transfer Collaborative Fuzzy Clustering in Distributed Peer-to-Peer Networks.

Bozhan Dang, Yingxu Wang, Jin Zhou, Rongrong Wang, Long Chen, C. L. Philip Chen, Tong Zhang, Shiyuan Han, Lin Wang, Yuehui Chen

IEEE Trans. Fuzzy Syst., 2022

Interval type-2 outlier-robust picture fuzzy clustering and its application in medical image segmentation.

Yingxu Wang, Long Chen, Jin Zhou, Tianjun Li, C. L. Philip Chen

Appl. Soft Comput., 2022

2021

Random Fourier feature-based fuzzy clustering with p-Laplacian regularization.

Yingxu Wang, Tianjun Li, Long Chen, Guangmei Xu, Jin Zhou, C. L. Philip Chen

Appl. Soft Comput., 2021

2019

Random Feature Map-Based Multiple Kernel Fuzzy Clustering with All Feature Weights.

Yingxu Wang, Jiwen Dong, Jin Zhou, Guangmei Xu, Yuehui Chen

Int. J. Fuzzy Syst., 2019

2018

Uncertain Data Clustering in Distributed Peer-to-Peer Networks.

Jin Zhou, Long Chen, C. L. Philip Chen, Yingxu Wang, Han-Xiong Li

IEEE Trans. Neural Networks Learn. Syst., 2018

An improved fuzzy c-means clustering algorithm with guided filter for Image Segmentation.

Guangmei Xu, Jiwen Dong, Jin Zhou, Yingxu Wang, Bozhan Dang, Dong Wang, Lin Wang, Shi-Yuan Han

Proceedings of the 2018 International Conference on Security, 2018

Transfer Learning for Entropy-Weighted Fuzzy Clustering.

Bozhan Dang, Jin Zhou, Yingxu Wang, Guangmei Xu, Dong Wang, Lin Wang, Shi-Yuan Han, Yuehui Chen

Proceedings of the 2018 International Conference on Security, 2018

2017

Spectral clustering based on JS-divergence for uncertain data.

Yingxu Wang, Jiwen Dong, Jin Zhou, Lin Wang, Shi-Yuan Han, Tong Zhang, C. L. Philip Chen

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017