Kangsheng Li

According to our database, Kangsheng Li authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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, Kangsheng Li

Neurocomputing, 2023

2022

An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair construction.

Xin Gao, Xin Jia, Jing Liu, Bing Xue, Zijian Huang, Shiyuan Fu, Guangyao Zhang, Kangsheng Li

Knowl. Based Syst., 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

Expert Syst. Appl., 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

Eng. Appl. Artif. Intell., 2022

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

Appl. Intell., 2022

2020

An ensemble imbalanced classification method based on model dynamic selection driven by data partition hybrid sampling.

Xin Gao, Bing Ren, Hao Zhang, Bohao Sun, Junliang Li, Jianhang Xu, Yang He, Kangsheng Li

Expert Syst. Appl., 2020