Zhigao Guo - RankMe

19 papers Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Linear Causal Discovery with Interventional Constraints. Mach. Learn. Zhigao Guo, Feng Dong
2025	J	`jnl`	Linear Causal Discovery with Interventional Constraints. CoRR Zhigao Guo, Feng Dong
2023	J	`jnl`	A survey of Bayesian Network structure learning. Artif. Intell. Rev. Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
2023	J	`jnl`	The impact of prior knowledge on causal structure learning. Knowl. Inf. Syst. Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson
2022	J	`jnl`	A Novel Qualitative Maximum a Posteriori Estimation for Bayesian Network Parameters Based on Computing the Center Point of Constrained Parameter Regions. IEEE Access Ruohai Di, Peng Wang, Jiao Wu, Zhigao Guo
2022	J	`jnl`	Bearing Fault Diagnosis Under Small Data Set Condition: A Bayesian Network Method With Transfer Learning for Parameter Estimation. IEEE Access Yongyan Hou, Ao Yang, Wenqiang Guo, Enrang Zheng, Qinkun Xiao, Zhigao Guo, Zixuan Huang
2022	J	`jnl`	Effective and efficient structure learning with pruning and model averaging strategies. Int. J. Approx. Reason. Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
2022	J	`jnl`	Improving Bayesian Network Structure Learning in the Presence of Measurement Error. J. Mach. Learn. Res. Yang Liu, Anthony C. Constantinou, Zhigao Guo
2022	J	`jnl`	Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning. CoRR Zhigao Guo, Anthony C. Constantinou
2021	J	`jnl`	A survey of Bayesian Network structure learning. CoRR Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
2021	J	`jnl`	Constrained Adjusted Maximum a Posteriori Estimation of Bayesian Network Parameters. Entropy Ruohai Di, Peng Wang, Chuchao He, Zhigao Guo
2021	J	`jnl`	Effective and efficient structure learning with pruning and model averaging strategies. CoRR Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
2021	J	`jnl`	Information fusion between knowledge and data in Bayesian network structure learning. CoRR Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson
2021	J	`jnl`	Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. Int. J. Approx. Reason. Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
2020	J	`jnl`	Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets. Entropy Zhigao Guo, Anthony C. Constantinou
2020	J	`jnl`	Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets. CoRR Zhigao Guo, Anthony C. Constantinou
2020	J	`jnl`	Improving Bayesian Network Structure Learning in the Presence of Measurement Error. CoRR Yang Liu, Anthony C. Constantinou, Zhigao Guo
2020	J	`jnl`	Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. CoRR Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
2017	—	`conf`	Learning Bayesian Network Parameters with Domain Knowledge and Insufficient Data. AMBN Zhigao Guo, Xiaoguang Gao, Ruohai Di