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2020 – today
- 2024
[j11]Bowei Chen
, Sen Xu, Heyang Xu, Xuesheng Bian, Naixuan Guo, Xiufang Xu, Xiaopeng Hua, Tian Zhou:
Structural deep multi-view clustering with integrated abstraction and detail. Neural Networks 175: 106287 (2024)- 2023
- [j10]Bowei Chen, Sen Xu, Heyang Xu, Xuesheng Bian, Naixuan Guo, Xiufang Xu, Xiaopeng Hua:
Structure-aware deep clustering network based on contrastive learning. Neural Networks 167: 118-128 (2023) - 2022
- [j9]Xianfeng Li, Sen Xu, Xiaopeng Hua:
Discrete control algorithm of simulation load division based on complex network flow. Wirel. Networks 28(6): 2755-2764 (2022) - 2021
- [j8]Xianfeng Li, Sen Xu, Xiaopeng Hua:
Pattern Recognition of Grating Perimeter Intrusion Behavior in Deep Learning Method. Symmetry 13(1): 87 (2021)
2010 – 2019
- 2019
- [j7]Xiaopeng Hua, Sen Xu, Jun Gao, Shifei Ding:
L1-norm loss-based projection twin support vector machine for binary classification. Soft Comput. 23(21): 10649-10659 (2019) - 2016
- [j6]Sen Xu, Kung-Sik Chan, Tian Zhou, Jun Gao, Xianfeng Li, Xiaopeng Hua:
A novel cluster ensemble approach effected by subspace similarity. Intell. Data Anal. 20(3): 561-574 (2016) - [j5]Sen Xu, Kung-Sik Chan, Jun Gao, Xiufang Xu, Xianfeng Li, Xiaopeng Hua, Jing An:
An integrated K-means - Laplacian cluster ensemble approach for document datasets. Neurocomputing 214: 495-507 (2016) - 2015
- [j4]Xiaopeng Hua, Shifei Ding:
Weighted least squares projection twin support vector machines with local information. Neurocomputing 160: 228-237 (2015) - 2014
- [j3]Shifei Ding, Xiaopeng Hua:
Recursive least squares projection twin support vector machines for nonlinear classification. Neurocomputing 130: 3-9 (2014) - [j2]Shifei Ding, Xiaopeng Hua, Junzhao Yu:
An overview on nonparallel hyperplane support vector machine algorithms. Neural Comput. Appl. 25(5): 975-982 (2014) - 2011
- [j1]Xiaopeng Hua, Shifei Ding:
Incremental Learning Algorithm for Support Vector Data Description. J. Softw. 6(7): 1166-1173 (2011)
Coauthor Index
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