A Bayesian Network Structure Learning Algorithm Based on Probabilistic Incremental Analysis and Constraint. - Haoran Liu; Shaopeng Cui; Sheng Li; Niantai Wang; Qianrui Shi; Yanbin Cai; Liyue Zhang; Dayan Liu (IEEE Access, 2022)

An improved Harris Hawks optimization for Bayesian network structure learning via genetic operators. - Haoran Liu; Yanbin Cai; Qianrui Shi; Niantai Wang; Liyue Zhang; Sheng Li; Shaopeng Cui (Soft Comput., 2023)

An efficient skeleton learning approach-based hybrid algorithm for identifying Bayesian network structure. - Niantai Wang; Haoran Liu; Liyue Zhang; Yanbin Cai; Qianrui Shi (Eng. Appl. Artif. Intell., 2024)

Loose-to-strict Markov blanket learning algorithm for feature selection. - Niantai Wang; Haoran Liu; Liyue Zhang; Yanbin Cai; Qianrui Shi (Knowl. Based Syst., 2024)

Fast Shrinking parents-children learning for Markov blanket-based feature selection. - Haoran Liu; Qianrui Shi; Yanbin Cai; Niantai Wang; Liyue Zhang; Dayan Liu (Int. J. Mach. Learn. Cybern., 2024)

An efficient local-to-global Bayesian network skeleton learning algorithm. - Niantai Wang; Haoran Liu; Yunhe Zhao; Lin Li; Ye Gao; Fan Zhang (Expert Syst. Appl., 2025)