An ensemble imbalanced classification method based on model dynamic selection driven by data partition hybrid sampling. - Xin Gao; Bing Ren; Hao Zhang 070; Bohao Sun; Junliang Li; Jianhang Xu; Yang He; Kangsheng Li (Expert Syst. Appl., 2020)

Correlation-based feature partition regression method for unsupervised anomaly detection. - Zhiyu Liu; Xin Gao; Xin Jia; Bing Xue; Shiyuan Fu; Kangsheng Li; Xu Huang; Zijian Huang 001 (Appl. Intell., 2022)

Detection of local and clustered outliers based on the density-distance decision graph. - Kangsheng Li; Xin Gao; Xin Jia; Bing Xue; Shiyuan Fu; Zhiyu Liu; Xu Huang; Zijian Huang 001 (Eng. Appl. Artif. Intell., 2022)

Robust outlier detection based on the changing rate of directed density ratio. - Kangsheng Li; Xin Gao; Shiyuan Fu; Xinping Diao; Ping Ye; Bing Xue; Jiahao Yu; Zijian Huang 001 (Expert Syst. Appl., 2022)

An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair construction. - Xin Gao; Xin Jia; Jing Liu; Bing Xue; Zijian Huang 001; Shiyuan Fu; Guangyao Zhang; Kangsheng Li (Knowl. Based Syst., 2022)

An imbalanced binary classification method based on contrastive learning using multi-label confidence comparisons within sample-neighbors pair. - Xin Gao; Zhihang Meng; Xin Jia; Jing Liu; Xinping Diao; Bing Xue; Zijian Huang 001; Kangsheng Li (Neurocomputing, 2023)