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Kui Yu
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Online feature selection with streaming features
X Wu, K Yu, W Ding, H Wang, X Zhu
IEEE transactions on pattern analysis and machine intelligence 35 (5), 1178-1192, 2012
3292012
Online streaming feature selection
X Wu, K Yu, H Wang, W Ding
Proceedings of the 27th international conference on machine learning (ICML …, 2010
1792010
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
1682020
Scalable and accurate online feature selection for big data
K Yu, X Wu, W Ding, J Pei
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (2), 1-39, 2016
1472016
Towards scalable and accurate online feature selection for big data
K Yu, X Wu, W Ding, J Pei
2014 IEEE International Conference on Data Mining, 660-669, 2014
1332014
Multi-source causal feature selection
K Yu, L Liu, J Li, W Ding, TD Le
IEEE transactions on pattern analysis and machine intelligence 42 (9), 2240-2256, 2019
1062019
A unified view of causal and non-causal feature selection
K Yu, L Liu, J Li
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (4), 1-46, 2021
832021
Learning common and label-specific features for multi-label classification with correlation information
J Li, P Li, X Hu, K Yu
Pattern Recognition 121, 108259, 2022
712022
Accurate Markov boundary discovery for causal feature selection
X Wu, B Jiang, K Yu, H Chen
IEEE transactions on cybernetics 50 (12), 4983-4996, 2019
702019
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase
T Xu, N Su, L Liu, J Zhang, H Wang, W Zhang, J Gui, K Yu, J Li, TD Le
BMC bioinformatics 19, 179-188, 2018
632018
LOFS: A library of online streaming feature selection
K Yu, W Ding, X Wu
Knowledge-Based Systems 113, 1-3, 2016
582016
BAMB: A balanced Markov blanket discovery approach to feature selection
Z Ling, K Yu, H Wang, L Liu, W Ding, X Wu
ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-25, 2019
562019
Towards efficient and effective discovery of Markov blankets for feature selection
H Wang, Z Ling, K Yu, X Wu
Information Sciences 509, 227-242, 2020
552020
Semi-supervised classification on data streams with recurring concept drift and concept evolution
X Zheng, P Li, X Hu, K Yu
Knowledge-Based Systems 215, 106749, 2021
522021
Multi-label causal feature selection
X Wu, B Jiang, K Yu, H Chen, C Miao
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6430-6437, 2020
482020
Joint semi-supervised feature selection and classification through Bayesian approach
B Jiang, X Wu, K Yu, H Chen
Proceedings of the AAAI conference on artificial intelligence 33 (01), 3983-3990, 2019
462019
Mining Markov blankets without causal sufficiency
K Yu, L Liu, J Li, H Chen
IEEE transactions on neural networks and learning systems 29 (12), 6333-6347, 2018
392018
Classification with streaming features: An emerging-pattern mining approach
K Yu, W Ding, DA Simovici, H Wang, J Pei, X Wu
ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (4), 1-31, 2015
392015
Learning causal representations for robust domain adaptation
S Yang, K Yu, F Cao, L Liu, H Wang, J Li
IEEE Transactions on Knowledge and Data Engineering 35 (3), 2750-2764, 2021
382021
Markov blanket feature selection using representative sets
K Yu, X Wu, W Ding, Y Mu, H Wang
IEEE transactions on neural networks and learning systems 28 (11), 2775-2788, 2016
332016
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