Real-value negative selection over-sampling for imbalanced data set learning. - Xinmin Tao; Qing Li 024; Chao Ren 007; Wenjie Guo; Chenxi Li; Qing He 004; Rui Liu; Junrong Zou (Expert Syst. Appl., 2019)

Density-sensitive Robust Fuzzy Kernel Principal Component Analysis technique. - Xinmin Tao; Rui Chang; Chenxi Li; Ruotong Wang 001; Rui Liu (Neurocomputing, 2019)

Self-adaptive cost weights-based support vector machine cost-sensitive ensemble for imbalanced data classification. - Xinmin Tao; Qing Li 024; Wenjie Guo; Chao Ren 007; Chenxi Li; Rui Liu; Junrong Zou (Inf. Sci., 2019)

Density-sensitive fuzzy kernel maximum entropy clustering algorithm. - Xinmin Tao; Ruotong Wang 001; Rui Chang; Chenxi Li (Knowl. Based Syst., 2019)

Spectral clustering algorithm using density-sensitive distance measure with global and local consistencies. - Xinmin Tao; Ruotong Wang 001; Rui Chang; Chenxi Li; Rui Liu; Junrong Zou (Knowl. Based Syst., 2019)

Multiple scale self-adaptive cooperation mutation strategy-based particle swarm optimization. - Xinmin Tao; Wenjie Guo; Qing Li 024; Chao Ren 007; Rui Liu (Appl. Soft Comput., 2020)

Adaptive weighted over-sampling for imbalanced datasets based on density peaks clustering with heuristic filtering. - Xinmin Tao; Qing Li 024; Wenjie Guo; Chao Ren 007; Qing He 004; Rui Liu; Junrong Zou (Inf. Sci., 2020)

Affinity and class probability-based fuzzy support vector machine for imbalanced data sets. - Xinmin Tao; Qing Li 024; Chao Ren 007; Wenjie Guo; Qing He 004; Rui Liu; Junrong Zou (Neural Networks, 2020)

Density peak clustering using global and local consistency adjustable manifold distance. - Xinmin Tao; Wenjie Guo; Chao Ren 007; Qing Li 024; Qing He 004; Rui Liu; Junrong Zou (Inf. Sci., 2021)

Self-Adaptive two roles hybrid learning strategies-based particle swarm optimization. - Xinmin Tao; Xiangke Li; Wei Chen; Tian Liang; Yetong Li; Jie Guo; Lin Qi (Inf. Sci., 2021)

The ensemble of density-sensitive SVDD classifier based on maximum soft margin for imbalanced datasets. - Xinmin Tao; Wei Chen; Xiangke Li; Xiaohan Zhang; Yetong Li; Jie Guo (Knowl. Based Syst., 2021)

SVDD boundary and DPC clustering technique-based oversampling approach for handling imbalanced and overlapped data. - Xinmin Tao; Wei Chen; Xiaohan Zhang; Wenjie Guo; Lin Qi; Zhiting Fan (Knowl. Based Syst., 2021)

Fitness peak clustering based dynamic multi-swarm particle swarm optimization with enhanced learning strategy. - Xinmin Tao; Wenjie Guo; Xiangke Li; Qing He 004; Rui Liu; Junrong Zou (Expert Syst. Appl., 2022)

SVDD-based weighted oversampling technique for imbalanced and overlapped dataset learning. - Xinmin Tao; Yujia Zheng; Wei Chen; Xiaohan Zhang; Lin Qi; Zhiting Fan; Shan Huang (Inf. Sci., 2022)

Regularized semi-supervised KLFDA algorithm based on density peak clustering. - Xinmin Tao; Yixuan Bao; Xiaohan Zhang; Tian Liang; Lin Qi; Zhiting Fan; Shan Huang (Neural Comput. Appl., 2022)

Self-adaptive oversampling method based on the complexity of minority data in imbalanced datasets classification. - Xinmin Tao; Xinyue Guo; Yujia Zheng; Xiaohan Zhang; Zhiyu Chen (Knowl. Based Syst., 2023)

Heterogeneous teaching-learning based optimization with local search for the covering delivering problem in last mile delivery. - Xinmin Tao; Yiwei Wang; Yuqi Sun; Chunyu Du; Sai Tang; Junxuan Li; Deyong Ren (Expert Syst. Appl., 2024)

A MeanShift-guided oversampling with self-adaptive sizes for imbalanced data classification. - Xinmin Tao; Xiaohan Zhang; Yujia Zheng; Lin Qi; Zhiting Fan; Shan Huang (Inf. Sci., 2024)

Semi-supervised Kernel Fisher discriminant analysis based on exponential-adjusted geometric distance. - Zhiyu Chen; Yuqi Sun; Dongliang Hu; Yangguang Bian; Shensen Wang; Xiyuan Zhang; Xinmin Tao (Neural Comput. Appl., 2024)

Majority data-based overlapping shift technique for imbalanced datasets classification with small disjuncts and outliers. - Xinmin Tao; Xinyue Guo; Annan Xu; Lihang Shi; Junxuan Li; Kui Liu; Sirui Tao (Expert Syst. Appl., 2025)