Xianjie Guo

Orcid: 0000-0002-0656-2309

According to our database¹, Xianjie Guo authored at least 12 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Local causal structure learning with missing data.

[BibT_eX]

[DOI]

Expert Syst. Appl., March, 2024

Causal Feature Selection With Dual Correction.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2024

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Privacy-Aware Causal Structure Learning in Federated Setting.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, December, 2023

A novel data enhancement approach to DAG learning with small data samples.

[BibT_eX]

[DOI]

Appl. Intell., November, 2023

Adaptive Skeleton Construction for Accurate DAG Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

Causal Feature Selection in the Presence of Sample Selection Bias.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., October, 2023

2022

Error-aware Markov blanket learning for causal feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Bootstrap-based Causal Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Causality-based Feature Selection: Methods and Evaluations.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2021

Improving Gradient-based DAG Learning by Structural Asymmetry.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Xianjie Guo

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