An improved XGBoost based on weighted column subsampling for object classification. - Xin Gao; Shaohua Fan; Xinpeng Li 001; Ziming Guo; Hao Zhang 070; Yuexing Peng; Xinping Diao (ICSAI, 2017)

A multiclass classification using one-versus-all approach with the differential partition sampling ensemble. - Xin Gao; Yang He; Mi Zhang; Xinping Diao; Xiao Jing; Bing Ren; Weijia Ji (Eng. Appl. Artif. Intell., 2021)

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 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)

An adversarial transfer imbalanced classification framework via cross-category commonality information extraction and joint discrimination. - Zhihang Meng; Xin Gao; Huang Tan; Haibo Yu; Xinping Diao; Tianyang Chen; Qiangwei Li; Yu Hao (Expert Syst. Appl., 2025)

A multivariate time series anomaly detection method with Multi-Grain Dynamic Receptive Field. - Lingli Chen; Xin Gao; Jing Liu; Yunkai Zhang; Xinping Diao; Taizhi Wang; Jiawen Lu; Zhihang Meng (Knowl. Based Syst., 2025)