Incremental Learning Algorithm for Support Vector Data Description. - Xiaopeng Hua; Shifei Ding (J. Softw., 2011)

Recursive least squares projection twin support vector machines for nonlinear classification. - Shifei Ding; Xiaopeng Hua (Neurocomputing, 2014)

An overview on nonparallel hyperplane support vector machine algorithms. - Shifei Ding; Xiaopeng Hua; Junzhao Yu (Neural Comput. Appl., 2014)

Weighted least squares projection twin support vector machines with local information. - Xiaopeng Hua; Shifei Ding (Neurocomputing, 2015)

A novel cluster ensemble approach effected by subspace similarity. - Sen Xu; Kung-Sik Chan; Tian Zhou 002; Jun Gao; Xianfeng Li; Xiaopeng Hua (Intell. Data Anal., 2016)

An integrated K-means - Laplacian cluster ensemble approach for document datasets. - Sen Xu; Kung-Sik Chan; Jun Gao; Xiufang Xu; Xianfeng Li; Xiaopeng Hua; Jing An 002 (Neurocomputing, 2016)

L1-norm loss-based projection twin support vector machine for binary classification. - Xiaopeng Hua; Sen Xu; Jun Gao; Shifei Ding (Soft Comput., 2019)

Pattern Recognition of Grating Perimeter Intrusion Behavior in Deep Learning Method. - Xianfeng Li; Sen Xu; Xiaopeng Hua (Symmetry, 2021)

Discrete control algorithm of simulation load division based on complex network flow. - Xianfeng Li; Sen Xu; Xiaopeng Hua (Wirel. Networks, 2022)

Structure-aware deep clustering network based on contrastive learning. - Bowei Chen; Sen Xu; Heyang Xu; Xuesheng Bian; Naixuan Guo; Xiufang Xu; Xiaopeng Hua (Neural Networks, 2023)

Structural deep multi-view clustering with integrated abstraction and detail. - Bowei Chen; Sen Xu; Heyang Xu; Xuesheng Bian; Naixuan Guo; Xiufang Xu; Xiaopeng Hua; Tian Zhou 002 (Neural Networks, 2024)