Fa Zhu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 20

Top Topics

Intelligent Computing

Feature Selection

Boundary Detection

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Expert Syst. Appl.

Publications

Dazhou Li, Xingchi Chen, Qing Li, Fa Zhu, Xiaoyang Lu, Sidheswar Routray, Uttam Ghosh, Mohammed S. Al-Numay
Intelligent Biomedical Photoplethysmography Signal Cycle Division With Digital Twin in Metaverse for Consumer Health. IEEE Trans. Consumer Electron. 70 (1) (2024)
Zhonghua Liu, Tiansheng Wang, Fa Zhu, Xingchi Chen, Danilo Pelusi, Athanasios V. Vasilakos
Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation. Expert Syst. Appl. 249 (2024)
Xizhan Gao, Sijie Niu, Dong Wei, Xingrui Liu, Tingwei Wang, Fa Zhu, Jiwen Dong, Quansen Sun
Joint Metric Learning-Based Class-Specific Representation for Image Set Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Ruoyu Li, Qing Li, Yucheng Huang, Qingsong Zou, Dan Zhao, Zhengxin Zhang, Yong Jiang, Fa Zhu, Athanasios V. Vasilakos
SeIoT: Detecting Anomalous Semantics in Smart Homes via Knowledge Graph. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Fa Zhu, Xingchi Chen, Xizhan Gao, Weidu Ye, Hai Zhao, Athanasios V. Vasilakos
Constraint-weighted support vector ordinal regression to resist constraint noises. Inf. Sci. 649 (2023)
Zhonghua Liu, Fa Zhu, Kaibing Zhang, Zhihui Lai, Hua Huo
Manifold transfer subspace learning based on double relaxed discriminative regression. Artif. Intell. Rev. 56 (S1) (2023)
Fa Zhu, Xingchi Chen, Shuo Chen, Wei Zheng, Weidu Ye
Relative margin induced support vector ordinal regression. Expert Syst. Appl. 231 (2023)
Fa Zhu, Wenjie Zhang, Xingchi Chen, Xizhan Gao, Ning Ye
Large margin distribution multi-class supervised novelty detection. Expert Syst. Appl. 224 (2023)
Fa Zhu, Junbin Gao, Jian Yang, Ning Ye
Neighborhood linear discriminant analysis. Pattern Recognit. 123 (2022)
Wei Zheng, Shuo Chen, Zhenyong Fu, Fa Zhu, Hui Yan, Jian Yang
Feature Selection Boosted by Unselected Features. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Fa Zhu, Ye Ning, Xingchi Chen, Yongbin Zhao, Yining Gang
On removing potential redundant constraints for SVOR learning. Appl. Soft Comput. 102 (2021)
Fa Zhu, Rajan Shankaran, Bin Zhao, Yongbin Zhao, Yining Gang, Xingchi Chen
Anomaly detection-based intelligent computing in internet of things and network applications. Internet Technol. Lett. 4 (3) (2021)
Sheng Xu, Shanshan Xu, Ning Ye, Fa Zhu
Automatic extraction of street trees' nonphotosynthetic components from MLS data. Int. J. Appl. Earth Obs. Geoinformation 69 (2018)
Fa Zhu, Junbin Gao, Chunyan Xu, Jian Yang, Dacheng Tao
On Selecting Effective Patterns for Fast Support Vector Regression Training. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Wei Zheng, Chunyan Xu, Jian Yang, Junbin Gao, Fa Zhu
Low-rank structure preserving for unsupervised feature selection. Neurocomputing 314 (2018)
Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu, Sheng Xu, Cong Gao
Finding the samples near the decision plane for support vector learning. Inf. Sci. (2017)
Fa Zhu, Jian Yang, Sheng Xu, Cong Gao, Ning Ye, Tongming Yin
Incorporating neighbors' distribution knowledge into support vector machines. Soft Comput. 21 (21) (2017)
Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu
Extended nearest neighbor chain induced instance-weights for SVMs. Pattern Recognit. 60 (2016)
Fa Zhu, Jian Yang, Sheng Xu, Cong Gao, Ning Ye, Tongming Yin
Relative density degree induced boundary detection for one-class SVM. Soft Comput. 20 (11) (2016)
Fa Zhu, Jian Yang, Cong Gao, Sheng Xu, Ning Ye, Tongming Yin
A weighted one-class support vector machine. Neurocomputing 189 (2016)
Fa Zhu, Ning Ye, Wei Yu, Sheng Xu, Guobao Li
Boundary detection and sample reduction for one-class Support Vector Machines. Neurocomputing 123 (2014)
Fa Zhu, Jian Yang, Ning Ye, Cong Gao, Guobao Li, Tongming Yin
Neighbors' distribution property and sample reduction for support vector machines. Appl. Soft Comput. 16 (2014)
Fa Zhu, Ning Ye, Wei Yu, Sheng Xu, Guobao Li
Erratum to "Boundary detection and sample reduction for one-class Support Vector Machines" [Neurocomputing 123 (2014) 166-173]. Neurocomputing 135 (2014)
Sheng Xu, Ning Ye, Fa Zhu, Shanshan Xu, Liuliu Zhou
Research on a RBF Neural Network in Stereo Matching. ICONIP (3) (2011)