Fa Zhu

According to our database, Fa Zhu authored at least 26 papers between 2011 and 2025.

Collaborative distances:

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

2025

Graph regularized discriminative nonnegative matrix factorization.

Zhonghua Liu, Fa Zhu, Hao Xiong, Xingchi Chen, Danilo Pelusi, Athanasios V. Vasilakos

Eng. Appl. Artif. Intell., 2025

A study of complex network features for electrocardiograms and its Applications in atrial fibrillation recognition.

Hui Yan, Zhengyu Chen, Fa Zhu, Wei Zheng

Biomed. Signal Process. Control., 2025

2024

Joint Metric Learning-Based Class-Specific Representation for Image Set Classification.

Xizhan Gao, Sijie Niu, Dong Wei, Xingrui Liu, Tingwei Wang, Fa Zhu, Jiwen Dong, Quansen Sun

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Intelligent Biomedical Photoplethysmography Signal Cycle Division With Digital Twin in Metaverse for Consumer Health.

Dazhou Li, Xingchi Chen, Qing Li, Fa Zhu, Xiaoyang Lu, Sidheswar Routray, Uttam Ghosh, Mohammed S. Al-Numay

IEEE Trans. Consumer Electron., February, 2024

SeIoT: Detecting Anomalous Semantics in Smart Homes via Knowledge Graph.

Ruoyu Li, Qing Li, Yucheng Huang, Qingsong Zou, Dan Zhao, Zhengxin Zhang, Yong Jiang, Fa Zhu, Athanasios V. Vasilakos

IEEE Trans. Inf. Forensics Secur., 2024

Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation.

Zhonghua Liu, Tiansheng Wang, Fa Zhu, Xingchi Chen, Danilo Pelusi, Athanasios V. Vasilakos

Expert Syst. Appl., 2024

2023

Constraint-weighted support vector ordinal regression to resist constraint noises.

Fa Zhu, Xingchi Chen, Xizhan Gao, Weidu Ye, Hai Zhao, Athanasios V. Vasilakos

Inf. Sci., November, 2023

Relative margin induced support vector ordinal regression.

Fa Zhu, Xingchi Chen, Shuo Chen, Wei Zheng, Weidu Ye

Expert Syst. Appl., November, 2023

Manifold transfer subspace learning based on double relaxed discriminative regression.

Zhonghua Liu, Fa Zhu, Kaibing Zhang, Zhihui Lai, Hua Huo

Artif. Intell. Rev., October, 2023

Large margin distribution multi-class supervised novelty detection.

Fa Zhu, Wenjie Zhang, Xingchi Chen, Xizhan Gao, Ning Ye

Expert Syst. Appl., August, 2023

2022

Feature Selection Boosted by Unselected Features.

Wei Zheng, Shuo Chen, Zhenyong Fu, Fa Zhu, Hui Yan, Jian Yang

IEEE Trans. Neural Networks Learn. Syst., 2022

Neighborhood linear discriminant analysis.

Fa Zhu, Junbin Gao, Jian Yang, Ning Ye

Pattern Recognit., 2022

2021

Anomaly detection-based intelligent computing in internet of things and network applications.

Fa Zhu, Rajan Shankaran, Bin Zhao, Yongbin Zhao, Yining Gang, Xingchi Chen

Internet Technol. Lett., 2021

On removing potential redundant constraints for SVOR learning.

Fa Zhu, Ye Ning, Xingchi Chen, Yongbin Zhao, Yining Gang

Appl. Soft Comput., 2021

2018

On Selecting Effective Patterns for Fast Support Vector Regression Training.

Fa Zhu, Junbin Gao, Chunyan Xu, Jian Yang, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2018

Low-rank structure preserving for unsupervised feature selection.

Wei Zheng, Chunyan Xu, Jian Yang, Junbin Gao, Fa Zhu

Neurocomputing, 2018

Automatic extraction of street trees' nonphotosynthetic components from MLS data.

Sheng Xu, Shanshan Xu, Ning Ye, Fa Zhu

Int. J. Appl. Earth Obs. Geoinformation, 2018

2017

Incorporating neighbors' distribution knowledge into support vector machines.

Fa Zhu, Jian Yang, Sheng Xu, Cong Gao, Ning Ye, Tongming Yin

Soft Comput., 2017

Finding the samples near the decision plane for support vector learning.

Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu, Sheng Xu, Cong Gao

Inf. Sci., 2017

2016

Relative density degree induced boundary detection for one-class SVM.

Fa Zhu, Jian Yang, Sheng Xu, Cong Gao, Ning Ye, Tongming Yin

Soft Comput., 2016

Extended nearest neighbor chain induced instance-weights for SVMs.

Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu

Pattern Recognit., 2016

A weighted one-class support vector machine.

Fa Zhu, Jian Yang, Cong Gao, Sheng Xu, Ning Ye, Tongming Yin

Neurocomputing, 2016

2014

Erratum to "Boundary detection and sample reduction for one-class Support Vector Machines" [Neurocomputing 123 (2014) 166-173].

Fa Zhu, Ning Ye, Wei Yu, Sheng Xu, Guobao Li

Neurocomputing, 2014

Boundary detection and sample reduction for one-class Support Vector Machines.

Fa Zhu, Ning Ye, Wei Yu, Sheng Xu, Guobao Li

Neurocomputing, 2014

Neighbors' distribution property and sample reduction for support vector machines.

Fa Zhu, Jian Yang, Ning Ye, Cong Gao, Guobao Li, Tongming Yin

Appl. Soft Comput., 2014

2011

Research on a RBF Neural Network in Stereo Matching.

Sheng Xu, Ning Ye, Fa Zhu, Shanshan Xu, Liuliu Zhou

Proceedings of the Neural Information Processing - 18th International Conference, 2011