郭贤杰｜南京邮电大学｜学者主页

期刊论文

2026

Federated Nonlinear Causal Discovery via Divide-and-Conquer Learning

Xianjie Guo, Shuai Yang, Lin Ma, Xi Cheng, Jie Fu, Han Yu

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

Local Causal Structure Learning with Efficient Parents Discovery

Shuai Yang, Xinyu Miao, Xianjie Guo, Jie Pan, Tingting Jiang, Qianlong Dang, Lichuan Gu

ACM Transactions on Intelligent Systems and Technology

DOI

2025

Federated Causally Invariant Feature Learning

Xianjie Guo, Kui Yu, Li-Zhen Cui, Han Yu, Xiao-Xiao Li

AAAI Conference on Artificial Intelligence

DOI

2025

Federated causal structure learning with missing data

Jia-Qi Shi, Xiao-Ling Huang, Xianjie Guo, Kui Yu, Cheng-Xiang Hu, Peng Zhou

Knowledge-Based Systems

DOI

2024

Local causal structure learning with missing data

Shaojing Sheng, Xianjie Guo, Kui Yu, Xindong Wu

Expert Systems With Applications，Vol. 238

DOI

2024

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

Xianjie Guo, Kui Yu, Hao Wang, Li-Zhen Cui, Han Yu, Xiao-Xiao Li

International Joint Conference on Artificial Intelligence

DOI

2024

Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning

Xianjie Guo, Kui Yu, Lin Liu, Jiu-Yong Li, Ji-Ye Liang, Fu-Yuan Cao, Xindong Wu

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

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

Xianjie Guo, Kui Yu, Lin Liu, Jiu-Yong Li

AAAI Conference on Artificial Intelligence

DOI

2023

Adaptive Skeleton Construction for Accurate DAG Learning

Xianjie Guo, Kui Yu, Lin Liu, Peipei Li, Jiuyong Li

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Causal Feature Selection in the Presence of Sample Selection Bias

Shuai Yang, Xianjie Guo, Kui Yu, Xiao-Ling Huang, Tingting Jiang, Jin He, Lichuan Gu

ACM Transactions on Intelligent Systems and Technology

DOI

2023

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

Xiao-Ling Huang, Xianjie Guo, Yu-Ling Li, Kui Yu

Applied intelligence (Boston)

DOI

2022

Causal Feature Selection With Dual Correction

Xianjie Guo, Kui Yu, Lin Liu, Fu-Yuan Cao, Jiuyong Li

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Error-aware Markov blanket learning for causal feature selection

Xianjie Guo, Kui Yu, Fu-Yuan Cao, Peipei Li, Hao Wang

Information Sciences

DOI

2022

Towards Privacy-Aware Causal Structure Learning in Federated Setting

Jian-Li Huang, Xianjie Guo, Kui Yu, Fu-Yuan Cao, Ji-Ye Liang

IEEE Transactions on Big Data

DOI

2022

Bootstrap-based Causal Structure Learning

Xianjie Guo, Yu-Jie Wang, Xiao-Ling Huang, Shuai Yang, Kui Yu

International Conference on Information and Knowledge Management

DOI

2021

基于马尔科夫毯的特征选择算法研究

郭贤杰

《合肥工业大学》

2021

Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests

Wen-Tao Hu, Shuai Yang, Xianjie Guo, Kui Yu

International Conference on Big Knowledge

DOI

2021

Improving Gradient-based DAG Learning by Structural Asymmetry

Yu-Jie Wang, Shuai Yang, Xianjie Guo, Kui Yu

International Conference on Big Knowledge

DOI

Enhancing Causal Discovery in Federated Settings with Limited Local Samples

Xianjie Guo, Liping Yi, Xiaohu Wu, †. KuiYu, †. GangWang

预印本

2026

A Survey on Federated Causal Discovery and Inference

Xianjie Guo, Yuwei Wang, Guodu Xiang, X W Tang, Kui Yu, Han Yu, Qiang Yang

arXiv (Cornell University)

DOI

郭贤杰

精选作品

期刊论文

Federated Nonlinear Causal Discovery via Divide-and-Conquer Learning

Local Causal Structure Learning with Efficient Parents Discovery

Federated Causally Invariant Feature Learning

Federated causal structure learning with missing data

Local causal structure learning with missing data

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

Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning

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

Adaptive Skeleton Construction for Accurate DAG Learning

Causal Feature Selection in the Presence of Sample Selection Bias

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

Causal Feature Selection With Dual Correction

Error-aware Markov blanket learning for causal feature selection

Towards Privacy-Aware Causal Structure Learning in Federated Setting

Bootstrap-based Causal Structure Learning

基于马尔科夫毯的特征选择算法研究

Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests

Improving Gradient-based DAG Learning by Structural Asymmetry

Enhancing Causal Discovery in Federated Settings with Limited Local Samples

预印本

A Survey on Federated Causal Discovery and Inference

研究方向