Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests. - Wentao Hu; Shuai Yang 003; Xianjie Guo; Kui Yu (ICBK, 2021)

Improving Gradient-based DAG Learning by Structural Asymmetry. - Yujie Wang 003; Shuai Yang 003; Xianjie Guo; Kui Yu (ICBK, 2021)

Causality-based Feature Selection: Methods and Evaluations. - Kui Yu; Xianjie Guo; Lin Liu 003; Jiuyong Li; Hao Wang 008; Zhaolong Ling; Xindong Wu 001 (ACM Comput. Surv., 2021)

Bootstrap-based Causal Structure Learning. - Xianjie Guo; Yujie Wang 003; Xiaoling Huang; Shuai Yang 003; Kui Yu (CIKM, 2022)

Error-aware Markov blanket learning for causal feature selection. - Xianjie Guo; Kui Yu; Fuyuan Cao; Pei-Pei Li 001; Hao Wang 008 (Inf. Sci., 2022)

Causal Feature Selection in the Presence of Sample Selection Bias. - Shuai Yang 003; Xianjie Guo; Kui Yu; Xiaoling Huang; Tingting Jiang 004; Jin He; Lichuan Gu (ACM Trans. Intell. Syst. Technol., 2023)

Adaptive Skeleton Construction for Accurate DAG Learning. - Xianjie Guo; Kui Yu; Lin Liu 003; Pei-Pei Li 001; Jiuyong Li (IEEE Trans. Knowl. Data Eng., 2023)

A novel data enhancement approach to DAG learning with small data samples. - Xiaoling Huang; Xianjie Guo; Yuling Li 001; Kui Yu (Appl. Intell., 2023)

Towards Privacy-Aware Causal Structure Learning in Federated Setting. - Jianli Huang; Xianjie Guo; Kui Yu; Fuyuan Cao; Jiye Liang (IEEE Trans. Big Data, 2023)

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. - Xianjie Guo; Kui Yu; Lin Liu 003; Jiuyong Li (AAAI, 2024)

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection. - Xianjie Guo; Kui Yu; Hao Wang 008; Lizhen Cui; Han Yu 001; Xiaoxiao Li (IJCAI, 2024)

Causal Feature Selection With Dual Correction. - Xianjie Guo; Kui Yu; Lin Liu 003; Fuyuan Cao; Jiuyong Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

Local causal structure learning with missing data. - Shaojing Sheng; Xianjie Guo; Kui Yu; Xindong Wu 001 (Expert Syst. Appl., 2024)

Bootstrap-Based Layerwise Refining for Causal Structure Learning. - Guodu Xiang; Hao Wang 008; Kui Yu; Xianjie Guo; Fuyuan Cao; Yukun Song (IEEE Trans. Artif. Intell., 2024)

Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning. - Xianjie Guo; Kui Yu; Lin Liu 003; Jiuyong Li; Jiye Liang; Fuyuan Cao; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Federated Causally Invariant Feature Learning. - Xianjie Guo; Kui Yu; Lizhen Cui; Han Yu 001; Xiaoxiao Li (AAAI, 2025)

FedECE: Federated Estimation of Causal Effect Based on Causal Graphical Modeling. - Yongsheng Zhao; Kui Yu; Guodu Xiang; Xianjie Guo; Fuyuan Cao (IEEE Trans. Artif. Intell., 2025)