Zidong Wang

According to our database, Zidong Wang authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Uncertain Priors for Graphical Causal Models: A Multi-Objective Optimization Perspective.

Zidong Wang, Xiaoguang Gao, Qingfu Zhang

IEEE Trans. Knowl. Data Eng., December, 2025

Bayesian network structure learning based on discrete artificial jellyfish search: Leveraging scoring and graphical properties.

Xuchen Yan, Xiaoguang Gao, Zidong Wang, Qianglong Wang, Xiaohan Liu

Swarm Evol. Comput., 2025

Feature reduction causal network (FRCN): A novel approach for analyzing coupling relationships in radar system.

Chenfeng Wang, Xiaoguang Gao, Zidong Wang, Bo Li, Kaifang Wan, Xinyu Li, Chuchao He

Knowl. Based Syst., 2025

Bridging Intuition and Data: A Unified Bayesian Framework for Optimizing Unmanned Aerial Vehicle Swarm Performance.

Ruiguo Zhong, Zidong Wang, Hao Wang, Yanghui Jin, Shuangxia Bai, Xiaoguang Gao

Entropy, 2025

A Novel Hyper-Heuristic Algorithm for Bayesian Network Structure Learning Based on Feature Selection.

Yinglong Dang, Xiaoguang Gao, Zidong Wang

Axioms, 2025

LLM-enhanced Score Function Evolution for Causal Structure Learning.

Zidong Wang, Fei Liu, Qi Feng, Qingfu Zhang, Xiaoguang Gao

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

The Improved Ordering-Based Search Method Incorporating with Ensemble Learning.

Hao Wang, Zidong Wang, Ruiguo Zhong, Xiaohan Liu, Xiaoguang Gao

Cogn. Comput., May, 2024

Incorporating structural constraints into continuous optimization for causal discovery.

Zidong Wang, Xiaoguang Gao, Xiaohan Liu, Xinxin Ru, Qingfu Zhang

Neurocomputing, 2024

A novel structure learning method of Bayesian networks based on the neighboring complete node ordering search.

Chuchao He, Peng Wang, Linyu Tian, Ruohai Di, Zidong Wang, Yu Yang

Neurocomputing, 2024

A Novel Hyper-Heuristic Algorithm with Soft and Hard Constraints for Causal Discovery Using a Linear Structural Equation Model.

Yinglong Dang, Xiaoguang Gao, Zidong Wang

Entropy, 2024

2023

Improving greedy local search methods by switching the search space.

Xiaohan Liu, Xiaoguang Gao, Xinxin Ru, Xiangyuan Tan, Zidong Wang

Appl. Intell., October, 2023

Bayesian network parameter learning using fuzzy constraints.

Xinxin Ru, Xiaoguang Gao, Zidong Wang, Yangyang Wang, Xiaohan Liu

Neurocomputing, August, 2023

A metaheuristic causal discovery method in directed acyclic graphs space.

Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru, Qingfu Zhang

Knowl. Based Syst., 2023

2022

Learning the structure of Bayesian networks with ancestral and/or heuristic partition.

Xiangyuan Tan, Xiaoguang Gao, Zidong Wang, Hao Han, Xiaohan Liu, Da-Qing Chen

Inf. Sci., 2022

2021

Learning Bayesian networks based on order graph with ancestral constraints.

Zidong Wang, Xiaoguang Gao, Yu Yang, Xiangyuan Tan, Daqing Chen

Knowl. Based Syst., 2021

Determining the direction of the local search in topological ordering space for Bayesian network structure learning.

Zidong Wang, Xiaoguang Gao, Xiangyuan Tan, Xiaohan Liu

Knowl. Based Syst., 2021

Learning Bayesian networks using A* search with ancestral constraints.

Zidong Wang, Xiaoguang Gao, Xiangyuan Tan, Xiaohan Liu

Neurocomputing, 2021

Bidirectional heuristic search to find the optimal Bayesian network structure.

Xiangyuan Tan, Xiaoguang Gao, Zidong Wang, Chuchao He

Neurocomputing, 2021

Improved Local Search with Momentum for Bayesian Networks Structure Learning.

Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru

Entropy, 2021