Extraction of Spectral-Spatial 3-Dimensional Homogeneous Regions from Hyperspectral Images and Its Application to Fast Classification. - Yanbin Cai; Zhuliang Geng; Yating Liang; Peng Fu (PRCV (2), 2020)

SPOC learner's final grade prediction based on a novel sampling batch normalization embedded neural network method. - Zhuonan Liang; Ziheng Liu; Huaze Shi; Yunlong Chen; Yanbin Cai; Yating Liang; Yafan Feng; Yuqing Yang; Jing Zhang; Peng Fu 003 (CoRR, 2020)

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)

SPOC learner's final grade prediction based on a novel sampling batch normalization embedded deep neural network method. - Zhuonan Liang; Ziheng Liu; Huaze Shi; Yunlong Chen; Yanbin Cai; Hong Hong; Yating Liang; Yafan Feng; Yuqing Yang; Jing Zhang; Peng Fu 003 (Multim. Tools Appl., 2023)

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)