Kangsheng Li - researchr alias

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Viewing Publication 1 - 6 from 6

2023

An imbalanced binary classification method based on contrastive learning using multi-label confidence comparisons within sample-neighbors pairXin Gao, Zhihang Meng, Xin Jia, Jing Liu, Xinping Diao, Bing Xue, Zijian Huang 0001, Kangsheng Li. ijon, 517:148-164, 2023. [doi]

2022

An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair constructionXin Gao, Xin Jia, Jing Liu, Bing Xue, Zijian Huang, Shiyuan Fu, Guangyao Zhang, Kangsheng Li. kbs, 249:109007, 2022. [doi]

Robust outlier detection based on the changing rate of directed density ratioKangsheng Li, Xin Gao, Shiyuan Fu, Xinping Diao, Ping Ye, Bing Xue, Jiahao Yu, Zijian Huang. eswa, 207:117988, 2022. [doi]

Detection of local and clustered outliers based on the density-distance decision graphKangsheng Li, Xin Gao, Xin Jia, Bing Xue, Shiyuan Fu, Zhiyu Liu, Xu Huang, Zijian Huang. eaai, 110:104719, 2022. [doi]

Correlation-based feature partition regression method for unsupervised anomaly detectionZhiyu Liu, Xin Gao, Xin Jia, Bing Xue, Shiyuan Fu, Kangsheng Li, Xu Huang, Zijian Huang. apin, 52(13):15074-15090, 2022. [doi]

2020

An ensemble imbalanced classification method based on model dynamic selection driven by data partition hybrid samplingXin Gao, Bing Ren, Hao Zhang, Bohao Sun, Junliang Li, Jianhang Xu, Yang He, Kangsheng Li. eswa, 160:113660, 2020. [doi]

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