Xianjie Guo

According to our database, Xianjie Guo authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

Bootstrap-Based Layerwise Refining for Causal Structure Learning.

Guodu Xiang, Hao Wang, Kui Yu, Xianjie Guo, Fuyuan Cao, Yukun Song

IEEE Trans. Artif. Intell., June, 2024

Local causal structure learning with missing data.

Shaojing Sheng, Xianjie Guo, Kui Yu, Xindong Wu

Expert Syst. Appl., March, 2024

Causal Feature Selection With Dual Correction.

Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li

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

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection.

Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li

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

2023

Towards Privacy-Aware Causal Structure Learning in Federated Setting.

Jianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang

IEEE Trans. Big Data, December, 2023

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

Xiaoling Huang, Xianjie Guo, Yuling Li, Kui Yu

Appl. Intell., November, 2023

Adaptive Skeleton Construction for Accurate DAG Learning.

Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li

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

Causal Feature Selection in the Presence of Sample Selection Bias.

Shuai Yang, Xianjie Guo, Kui Yu, Xiaoling Huang, Tingting Jiang, Jin He, Lichuan Gu

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

2022

Error-aware Markov blanket learning for causal feature selection.

Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang

Inf. Sci., 2022

Bootstrap-based Causal Structure Learning.

Xianjie Guo, Yujie Wang, Xiaoling Huang, Shuai Yang, Kui Yu

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

2021

Causality-based Feature Selection: Methods and Evaluations.

Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu

ACM Comput. Surv., 2021

Improving Gradient-based DAG Learning by Structural Asymmetry.

Yujie Wang, Shuai Yang, Xianjie Guo, Kui Yu

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

Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests.

Wentao Hu, Shuai Yang, Xianjie Guo, Kui Yu

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