Improved Local Search with Momentum for Bayesian Networks Structure Learning. - Xiaohan Liu; Xiaoguang Gao 001; Zidong Wang 002; Xinxin Ru (Entropy, 2021)

Learning Bayesian network parameters with soft-hard constraints. - Xinxin Ru; Xiaoguang Gao 001; Yangyang Wang; Xiaohan Liu (Neural Comput. Appl., 2022)

A hybrid feature selection algorithm and its application in bioinformatics. - Yangyang Wang; Xiaoguang Gao 001; Xinxin Ru; Pengzhan Sun 002; Jihan Wang (PeerJ Comput. Sci., 2022)

A metaheuristic causal discovery method in directed acyclic graphs space. - Xiaohan Liu; Xiaoguang Gao 001; Zidong Wang 002; Xinxin Ru; Qingfu Zhang 001 (Knowl. Based Syst., 2023)

Bayesian network parameter learning using constraint-based data extension method. - Xinxin Ru; Xiaoguang Gao 001; Yangyang Wang; Xiaohan Liu (Appl. Intell., 2023)

The Weight-Based Feature Selection (WBFS) Algorithm Classifies Lung Cancer Subtypes Using Proteomic Data. - Yangyang Wang; Xiaoguang Gao 001; Xinxin Ru; Pengzhan Sun 002; Jihan Wang (Entropy, 2023)

Bayesian network parameter learning using fuzzy constraints. - Xinxin Ru; Xiaoguang Gao 001; Zidong Wang 002; Yangyang Wang; Xiaohan Liu (Neurocomputing, 2023)

Improving greedy local search methods by switching the search space. - Xiaohan Liu; Xiaoguang Gao 001; Xinxin Ru; Xiangyuan Tan; Zidong Wang 002 (Appl. Intell., 2023)

Incorporating structural constraints into continuous optimization for causal discovery. - Zidong Wang 002; Xiaoguang Gao 001; Xiaohan Liu; Xinxin Ru; Qingfu Zhang 001 (Neurocomputing, 2024)