Kui Yu

发表

A Review on Algorithms for Constraint-based Causal Discovery pdf

Kui Yu, Jiuyong Li, Lin Liu, 2016, ArXiv.

A I ] 1 6 D ec 2 01 8 A Unified View of Causal and Non-causal Feature Selection

Kui Yu, 2018 .

Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data

Jixue Liu School of Information Technology, Hefei University of Technology, Jiuyong Li, 2022, IEEE transactions on neural networks and learning systems.

Dual-Representation-Based Autoencoder for Domain Adaptation

Xindong Wu, Kui Yu, Hao Wang, 2021, IEEE Transactions on Cybernetics.

Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets

Kui Yu, Jiye Liang, Fuyuan Cao, 2022, AAAI.

Bootstrap-based Causal Structure Learning

Kui Yu, Shuai Yang, Xiaoling Huang, 2022, CIKM.

Explanatory causal effects for model agnostic explanations

Ha Xuan Tran, Jiuyong Li, T. Le, 2022, ArXiv.

Towards Privacy-Aware Causal Structure Learning in Federated Setting

Kui Yu, Jiye Liang, Jianli Huang, 2022, 2211.06919.

miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase

Kui Yu, Junpeng Zhang, Jie Gui, 2018, bioRxiv.

Exploring Causal Relationships with Streaming Features

Hao Wang, Xindong Wu, Kui Yu, 2012, Comput. J..

Online Feature Selection with Streaming Features

Hao Wang, Xindong Wu, Kui Yu, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Accurate Markov Boundary Discovery for Causal Feature Selection

Huanhuan Chen, Chunyan Miao, Xingyu Wu, 2020, IEEE Transactions on Cybernetics.

Towards efficient and effective discovery of Markov blankets for feature selection

Hao Wang, Kui Yu, Xindong Wu, 2020, Inf. Sci..

Markov Blanket Feature Selection Using Representative Sets

Hao Wang, Xindong Wu, Kui Yu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Markov Blanket Feature Selection with Non-faithful Data Distributions

Hao Wang, Xindong Wu, Kui Yu, 2013, 2013 IEEE 13th International Conference on Data Mining.

Classification with Streaming Features: An Emerging-Pattern Mining Approach

Hao Wang, Xindong Wu, Jian Pei, 2015, TKDD.

Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition

Kui Yu, Bingbing Jiang, Huanhuan Chen, 2021, Inf. Sci..

Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach

Huanhuan Chen, Kui Yu, Bingbing Jiang, 2019, AAAI.

Causal Associative Classification

Hao Wang, Xindong Wu, Kui Yu, 2011, 2011 IEEE 11th International Conference on Data Mining.

Learning Causal Representations for Robust Domain Adaptation pdf

Lin Liu, Hao Wang, Jiuyong Li, 2020, IEEE Transactions on Knowledge and Data Engineering.

Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables

Jiuyong Li, Debo Cheng, Kui Yu, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning pdf

Kui Yu, Jiuyong Li, Zhaolong Ling, 2021, Pattern Recognit. Lett..

Using Feature Selection for Local Causal Structure Learning

Hao Wang, Xindong Wu, Lei Li, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

Causality-based Feature Selection: Methods and Evaluations

Kui Yu, Lin Liu, Jiuyong Li, 2019 .

A general framework for causal classification pdf

Jiuyong Li, Jixue Liu, Kui Yu, 2020, International Journal of Data Science and Analytics.

A Parallel Algorithm for Learning Bayesian Networks

Hao Wang, Xindong Wu, Kui Yu, 2007, PAKDD.

Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification

Xindong Wu, Kui Yu, Dawei Wang, 2013, KDD.

Multi-Source Causal Feature Selection

Kui Yu, Jiuyong Li, Thuc Duy Le, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Markov Boundary Learning With Streaming Data for Supervised Classification

Kui Yu, Shuai Yang, Chaofan Liu, 2020, IEEE Access.

Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion

Jiuyong Li, Jixue Liu, Lin Liu, 2023, ArXiv.

Error-aware Markov blanket learning for causal feature selection

Hao Wang, Kui Yu, Peipei Li, 2022, Inf. Sci..

BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection

Xindong Wu, Lin Liu, Kui Yu, 2019, ACM Trans. Intell. Syst. Technol..

Mining Markov Blankets Without Causal Sufficiency

Huanhuan Chen, Kui Yu, Jiuyong Li, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A Unified View of Causal and Non-causal Feature Selection pdf

Kui Yu, Jiuyong Li, Lin Liu, 2018, ACM Trans. Knowl. Discov. Data.

Crater detection using Bayesian classifiers and LASSO

Xindong Wu, Kui Yu, Wei Ding, 2013, IEEE Conference Anthology.

Towards precise causal effect estimation from data with hidden variables pdf

Jiuyong Li, Thuc Duy Le, Jixue Liu, 2020, ArXiv.

Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning pdf

Kui Yu, Zhaolong Ling, Hao Wang, 2021, ACM Transactions on Knowledge Discovery from Data.

Causality-based Feature Selection

Hao Wang, Lin Liu, Jiuyong Li, 2019, ACM Comput. Surv..

Towards Scalable and Accurate Online Feature Selection for Big Data

Xindong Wu, Jian Pei, Kui Yu, 2014, 2014 IEEE International Conference on Data Mining.

Causal Feature Selection with Missing Data

Kui Yu, Wei Ding, Yajing Yang, 2022, ACM Trans. Knowl. Discov. Data.

Causal query in observational data with hidden variables

Jiuyong Li, T. Le, Lin Liu, 2020, ECAI.

Multi-Label Causal Feature Selection

Huanhuan Chen, Chunyan Miao, Kui Yu, 2020, AAAI.

Towards Efficient Local Causal Structure Learning pdf

Xindong Wu, Shuai Yang, Kui Yu, 2021, IEEE Transactions on Big Data.

LOFS: Library of Online Streaming Feature Selection pdf

Xindong Wu, Kui Yu, Wei Ding, 2016, Knowl. Based Syst..

Online Streaming Feature Selection

Hao Wang, Xindong Wu, Kui Yu, 2010, ICML.

Causal Feature Selection With Dual Correction

Jiuyong Li, Lin Liu, Kui Yu, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Towards Privacy-Aware Causal Structure Learning in Federated Setting

Kui Yu, Jiye Liang, Jianli Huang, 2022, IEEE Transactions on Big Data.

A Light Causal Feature Selection Approach to High-Dimensional Data

Kui Yu, Peng Zhou, X. Wu, 2023, IEEE Transactions on Knowledge and Data Engineering.

Streaming feature-based causal structure learning algorithm with symmetrical uncertainty

Xiaoxue Guo, Kui Yu, Ning An, 2018, Inf. Sci..

L1 regularized ordering for learning Bayesian network classifiers

Hao Wang, Ying Wang, Kui Yu, 2011, 2011 Seventh International Conference on Natural Computation.

Causal Discovery from Streaming Features

Hao Wang, Xindong Wu, Kui Yu, 2010, 2010 IEEE International Conference on Data Mining.

Markov Boundary-Based Outlier Mining

Huanhuan Chen, Kui Yu, Kui Yu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Local Causal Discovery in Multiple Manipulated Datasets

Kui Yu, Jiye Liang, Fuyuan Cao, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Learning Markov Blankets From Multiple Interventional Data Sets

Lin Liu, Jiuyong Li, Kui Yu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Discovering Markov Blanket from Multiple interventional Datasets pdf

Kui Yu, Jiuyong Li, Lin Liu, 2018, ArXiv.

PSL: An Algorithm for Partial Bayesian Network Structure Learning

Jiuyong Li, Lin Liu, Kui Yu, 2022, ACM Trans. Knowl. Discov. Data.

Any Part of Bayesian Network Structure Learning pdf

Kui Yu, Zhaolong Ling, Lin Liu, 2021, ArXiv.

Improving Gradient-based DAG Learning by Structural Asymmetry

Yujie Wang, Kui Yu, Xianjie Guo, 2021, 2021 IEEE International Conference on Big Knowledge (ICBK).

Independent Relation Representation With Line Graph for Cross-Lingual Entity Alignment

Kui Yu, X. Wu, Yuhong Zhang, 2023, IEEE Transactions on Knowledge and Data Engineering.

Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion

Kui Yu, Xindong Wu, Yuling Li, 2022, ArXiv.

TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors

Kui Yu, Wei Ding, Zihan Li, 2018, 2018 IEEE International Conference on Big Knowledge (ICBK).

Semantic Features Prediction for Pulmonary Nodule Diagnosis Based on Online Streaming Feature Selection

Kui Yu, Na Li, Jing Yang, 2019, IEEE Access.

Bootstrap-based Causal Structure Learning

Kui Yu, Shuai Yang, Xiaoling Huang, 2022, CIKM.