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2020 – today
- 2024
[j23]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: 123673 (2024)- [j22]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): 2116-2128 (2024) - [j21]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: 7005-7018 (2024) - [j20]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): 6731-6745 (2024) - 2023
- [j19]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): 959-981 (2023) - [j18]Fa Zhu, Wenjie Zhang, Xingchi Chen, Xizhan Gao, Ning Ye:
Large margin distribution multi-class supervised novelty detection. Expert Syst. Appl. 224: 119937 (2023) - [j17]Fa Zhu, Xingchi Chen, Shuo Chen, Wei Zheng, Weidu Ye:
Relative margin induced support vector ordinal regression. Expert Syst. Appl. 231: 120766 (2023) - [j16]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: 119644 (2023) - 2022
- [j15]Fa Zhu, Junbin Gao, Jian Yang, Ning Ye:
Neighborhood linear discriminant analysis. Pattern Recognit. 123: 108422 (2022) - [j14]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): 4562-4574 (2022) - 2021
- [j13]Fa Zhu, Ye Ning, Xingchi Chen, Yongbin Zhao, Yining Gang:
On removing potential redundant constraints for SVOR learning. Appl. Soft Comput. 102: 106941 (2021) - [j12]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)
2010 – 2019
- 2018
- [j11]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: 64-77 (2018) - [j10]Wei Zheng, Chunyan Xu, Jian Yang, Junbin Gao, Fa Zhu:
Low-rank structure preserving for unsupervised feature selection. Neurocomputing 314: 360-370 (2018) - [j9]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): 3610-3622 (2018) - 2017
- [j8]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. 382-383: 292-307 (2017) - [j7]Fa Zhu, Jian Yang, Sheng Xu, Cong Gao, Ning Ye, Tongming Yin:
Incorporating neighbors' distribution knowledge into support vector machines. Soft Comput. 21(21): 6407-6420 (2017) - 2016
- [j6]Fa Zhu, Jian Yang, Cong Gao, Sheng Xu, Ning Ye, Tongming Yin:
A weighted one-class support vector machine. Neurocomputing 189: 1-10 (2016) - [j5]Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu:
Extended nearest neighbor chain induced instance-weights for SVMs. Pattern Recognit. 60: 863-874 (2016) - [j4]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): 4473-4485 (2016) - 2014
- [j3]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: 201-209 (2014) - [j2]Fa Zhu, Ning Ye, Wei Yu, Sheng Xu, Guobao Li:
Boundary detection and sample reduction for one-class Support Vector Machines. Neurocomputing 123: 166-173 (2014) - [j1]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: 117 (2014) - 2011
- [c1]Sheng Xu, Ning Ye, Fa Zhu, Shanshan Xu, Liuliu Zhou:
Research on a RBF Neural Network in Stereo Matching. ICONIP (3) 2011: 284-291
Coauthor Index
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