A novel graph-based clustering method using noise cutting. - Lin-Tao Li; Zhong-Yang Xiong; Qi-Zhu Dai; Yong-Fang Zha; Yu-Fang Zhang; Jing-Pei Dan (Inf. Syst., 2020)

ADD: a new average divergence difference-based outlier detection method with skewed distribution of data objects. - Zhong-Yang Xiong; Qin-Qin Gao; Qiang Gao; Yu-Fang Zhang; Lin-Tao Li; Min Zhang (Appl. Intell., 2022)

A neighborhood weighted-based method for the detection of outliers. - Zhong-Yang Xiong; Hua Long; Yu-Fang Zhang; Xiao-Xia Wang; Qin-Qin Gao; Lin-Tao Li; Min Zhang (Appl. Intell., 2023)