| Causality-based feature selection: Methods and evaluations K Yu, X Guo, L Liu, J Li, H Wang, Z Ling, X Wu ACM Computing Surveys (CSUR) 53 (5), 1-36, 2020 | 218 | 2020 |
| Error-aware Markov blanket learning for causal feature selection X Guo, K Yu, F Cao, P Li, H Wang Information Sciences 589, 849-877, 2022 | 42 | 2022 |
| Adaptive skeleton construction for accurate DAG learning X Guo, K Yu, L Liu, P Li, J Li IEEE Transactions on Knowledge and Data Engineering 35 (10), 10526-10539, 2023 | 19 | 2023 |
| Causal feature selection with dual correction X Guo, K Yu, L Liu, F Cao, J Li IEEE Transactions on Neural Networks and Learning Systems 35 (1), 938-951, 2022 | 19 | 2022 |
| Bootstrap-based causal structure learning X Guo, Y Wang, X Huang, S Yang, K Yu Proceedings of the 31st ACM international conference on information …, 2022 | 15 | 2022 |
| Towards privacy-aware causal structure learning in federated setting J Huang, X Guo, K Yu, F Cao, J Liang IEEE Transactions on Big Data 9 (6), 1525-1535, 2023 | 12 | 2023 |
| FedCSL: A scalable and accurate approach to federated causal structure learning X Guo, K Yu, L Liu, J Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12235 …, 2024 | 9 | 2024 |
| Causal feature selection in the presence of sample selection bias S Yang, X Guo, K Yu, X Huang, T Jiang, J He, L Gu ACM Transactions on Intelligent Systems and Technology 14 (5), 1-18, 2023 | 7 | 2023 |
| A novel data enhancement approach to DAG learning with small data samples X Huang, X Guo, Y Li, K Yu Applied Intelligence 53 (22), 27589-27607, 2023 | 6 | 2023 |
| Bootstrap-Based Layerwise Refining for Causal Structure Learning G Xiang, H Wang, K Yu, X Guo, F Cao, Y Song IEEE Transactions on Artificial Intelligence 5 (6), 2708-2722, 2023 | 4 | 2023 |
| Local causal structure learning with missing data S Sheng, X Guo, K Yu, X Wu Expert Systems with Applications 238, 121831, 2024 | 3 | 2024 |
| Progressive skeleton learning for effective local-to-global causal structure learning X Guo, K Yu, L Liu, J Li, J Liang, F Cao, X Wu IEEE Transactions on Knowledge and Data Engineering, 2024 | 2 | 2024 |
| Enhancing causal discovery in federated settings with limited local samples X Guo, L Yi, X Wu, K Yu, G Wang International Workshop on Trustworthy Federated Learning, 164-179, 2024 | 2 | 2024 |
| Accelerating learning bayesian network structures by reducing redundant ci tests W Hu, S Yang, X Guo, K Yu 2021 IEEE International Conference on Big Knowledge (ICBK), 46-53, 2021 | 1 | 2021 |
| Improving Gradient-based DAG Learning by Structural Asymmetry Y Wang, S Yang, X Guo, K Yu 2021 IEEE International Conference on Big Knowledge (ICBK), 1-8, 2021 | 1 | 2021 |
| FedECE: Federated Estimation of Causal Effect Based on Causal Graphical Modelling Y Zhao, K Yu, G Xiang, X Guo, F Cao IEEE Transactions on Artificial Intelligence, 2025 | | 2025 |
| Sample quality heterogeneity-aware federated causal discovery through adaptive variable space selection X Guo, K Yu, H Wang, L Cui, H Yu, X Li Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
| Supplementary Material for: Causality-based Feature Selection: Methods and Evaluations KUI YU, X GUO, LIN LIU, J LI, HAO WANG, Z LING, X WU Gene 801 (972), 11, 2000 | | 2000 |
| Supplementary Material for “Towards Privacy-Aware Causal Structure Learning in Federated Setting” J Huang, X Guo, K Yu, F Cao, J Liang andes 223, 338, 0 | | |
| Supplementary Material for “Causal Feature Selection with Dual Correction” X Guo, K Yu, L Liu, F Cao, J Li | | |
Kui YuProfessor, Hefei University of Technology在 hfut.edu.cn 的电子邮件经过验证