Kui Yu

According to our database, Kui Yu authored at least 99 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment.

Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu

ACM Trans. Knowl. Discov. Data, May, 2024

Local causal structure learning with missing data.

Shaojing Sheng, Xianjie Guo, Kui Yu, Xindong Wu

Expert Syst. Appl., March, 2024

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning.

Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li

ACM Trans. Knowl. Discov. Data, February, 2024

Causal Feature Selection With Dual Correction.

Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Causal Multi-Label Feature Selection in Federated Setting.

Yukun Song, Dayuan Cao, Jiali Miao, Shuai Yang, Kui Yu

CoRR, 2024

Learning Robust Rationales for Model Explainability: A Guidance-Based Approach.

Shuaibo Hu, Kui Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Privacy-Aware Causal Structure Learning in Federated Setting.

Jianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang

IEEE Trans. Big Data, December, 2023

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

Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu

IEEE Trans. Knowl. Data Eng., November, 2023

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

Xiaoling Huang, Xianjie Guo, Yuling Li, Kui Yu

Appl. Intell., November, 2023

Local Causal Discovery in Multiple Manipulated Datasets.

Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Adaptive Skeleton Construction for Accurate DAG Learning.

Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li

IEEE Trans. Knowl. Data Eng., October, 2023

Causal Feature Selection in the Presence of Sample Selection Bias.

Shuai Yang, Xianjie Guo, Kui Yu, Xiaoling Huang, Tingting Jiang, Jin He, Lichuan Gu

ACM Trans. Intell. Syst. Technol., October, 2023

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

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

A Light Causal Feature Selection Approach to High-Dimensional Data.

Zhaolong Ling, Ying Li, Yiwen Zhang, Kui Yu, Peng Zhou, Bo Li, Xindong Wu

IEEE Trans. Knowl. Data Eng., August, 2023

Multilabel Feature Selection: A Local Causal Structure Learning Approach.

Kui Yu, Mingzhu Cai, Xingyu Wu, Lin Liu, Jiuyong Li

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Causal Feature Selection With Efficient Spouses Discovery.

Zhaolong Ling, Bo Li, Yiwen Zhang, Qingren Wang, Kui Yu, Xindong Wu

IEEE Trans. Big Data, April, 2023

Learning Causal Representations for Robust Domain Adaptation.

Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li

IEEE Trans. Knowl. Data Eng., March, 2023

A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification.

Pei-Pei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu

IEEE Trans. Big Data, February, 2023

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

CoRR, 2023

Fair Causal Feature Selection.

Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu

CoRR, 2023

Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

CoRR, 2023

Knowledge-Enhanced Hierarchical Transformers for Emotion-Cause Pair Extraction.

Yuwei Wang, Yuling Li, Kui Yu, Yimin Hu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

TransD-based Multi-hop Meta Learning for Few-shot Knowledge Graph Completion.

Jindi Li, Kui Yu, Yuling Li, Yuhong Zhang

Proceedings of the International Joint Conference on Neural Networks, 2023

Cross-Knowledge Graph Relation Completion for Non-isomorphic Cross-lingual Entity Alignment.

Yuhong Zhang, Dan Lu, Chenyang Bu, Kui Yu, Xindong Wu

Proceedings of the 29th International DMS Conference on Visualization and Visual Languages, 2023

2022

Causal Feature Selection with Missing Data.

Kui Yu, Yajing Yang, Wei Ding

ACM Trans. Knowl. Discov. Data, 2022

PSL: An Algorithm for Partial Bayesian Network Structure Learning.

Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu

ACM Trans. Knowl. Discov. Data, 2022

Fuzzy Bayesian Knowledge Tracing.

Fei Liu, Xuegang Hu, Chenyang Bu, Kui Yu

IEEE Trans. Fuzzy Syst., 2022

Dual-Representation-Based Autoencoder for Domain Adaptation.

Shuai Yang, Kui Yu, Fuyuan Cao, Hao Wang, Xindong Wu

IEEE Trans. Cybern., 2022

Towards Efficient Local Causal Structure Learning.

Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu

IEEE Trans. Big Data, 2022

Causal learner: A toolbox for causal structure and Markov blanket learning.

Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li

Pattern Recognit. Lett., 2022

Learning common and label-specific features for multi-Label classification with correlation information.

Junlong Li, Pei-Pei Li, Xuegang Hu, Kui Yu

Pattern Recognit., 2022

Error-aware Markov blanket learning for causal feature selection.

Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang

Inf. Sci., 2022

Sufficient dimension reduction for average causal effect estimation.

Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu

Data Min. Knowl. Discov., 2022

Explanatory causal effects for model agnostic explanations.

Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, Jixue Liu

CoRR, 2022

Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data.

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

CoRR, 2022

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

Yuling Li, Kui Yu, Yuhong Zhang, Xindong Wu

CoRR, 2022

A New Skeleton-Neural DAG Learning Approach.

Yiwen Cao, Kui Yu, Xiaoling Huang, Yujie Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Partial Multi-Label Feature Selection.

Jing Wang, Peipei Li, Kui Yu

Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion.

Yuling Li, Kui Yu, Xiaoling Huang, Yuhong Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Bootstrap-based Causal Structure Learning.

Xianjie Guo, Yujie Wang, Xiaoling Huang, Shuai Yang, Kui Yu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets.

Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Kui Yu, Lin Liu, Jiuyong Li

ACM Trans. Knowl. Discov. Data, 2021

Using Feature Selection for Local Causal Structure Learning.

Zhaolong Ling, Kui Yu, Hao Wang, Lei Li, Xindong Wu

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Learning Cross-Lingual Mappings in Imperfectly Isomorphic Embedding Spaces.

Yuling Li, Kui Yu, Yuhong Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Semi-supervised classification on data streams with recurring concept drift and concept evolution.

Xiulin Zheng, Peipei Li, Xuegang Hu, Kui Yu

Knowl. Based Syst., 2021

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

Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen

Inf. Sci., 2021

A general framework for causal classification.

Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

Int. J. Data Sci. Anal., 2021

Causality-based Feature Selection: Methods and Evaluations.

Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu

ACM Comput. Surv., 2021

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

Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li

CoRR, 2021

Any Part of Bayesian Network Structure Learning.

Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li

CoRR, 2021

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

Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li

CoRR, 2021

Adversarial training with Wasserstein distance for learning cross-lingual word embeddings.

Yuling Li, Yuhong Zhang, Kui Yu, Xuegang Hu

Appl. Intell., 2021

Improving Gradient-based DAG Learning by Structural Asymmetry.

Yujie Wang, Shuai Yang, Xianjie Guo, Kui Yu

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests.

Wentao Hu, Shuai Yang, Xianjie Guo, Kui Yu

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks.

Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Learning Markov Blankets From Multiple Interventional Data Sets.

Kui Yu, Lin Liu, Jiuyong Li

IEEE Trans. Neural Networks Learn. Syst., 2020

Accurate Markov Boundary Discovery for Causal Feature Selection.

Xingyu Wu, Bingbing Jiang, Kui Yu, Chunyan Miao, Huanhuan Chen

IEEE Trans. Cybern., 2020

Multi-Source Causal Feature Selection.

Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Towards efficient and effective discovery of Markov blankets for feature selection.

Hao Wang, Zhaolong Ling, Kui Yu, Xindong Wu

Inf. Sci., 2020

Towards precise causal effect estimation from data with hidden variables.

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

CoRR, 2020

Markov Boundary Learning With Streaming Data for Supervised Classification.

Chaofan Liu, Shuai Yang, Kui Yu

IEEE Access, 2020

Causal Query in Observational Data with Hidden Variables.

Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Multi-Label Causal Feature Selection.

Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Markov Boundary-Based Outlier Mining.

Kui Yu, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., 2019

BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.

Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu

ACM Trans. Intell. Syst. Technol., 2019

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

Jing Yang, Na Li, Shuai Fang, Kui Yu, Yu Chen

IEEE Access, 2019

Predicting the Semantic Characteristics of Pulmonary Nodules using Feature Selection Based on Maximum-relevance Minimum-redundancy.

Jing Yang, Anbo Shen, Kui Yu, Yu Chen

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach.

Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Mining Markov Blankets Without Causal Sufficiency.

Kui Yu, Lin Liu, Jiuyong Li, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., 2018

Streaming feature-based causal structure learning algorithm with symmetrical uncertainty.

Jing Yang, Xiaoxue Guo, Ning An, Aiguo Wang, Kui Yu

Inf. Sci., 2018

Discovering Markov Blanket from Multiple interventional Datasets.

Kui Yu, Lin Liu, Jiuyong Li

CoRR, 2018

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

Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le

BMC Bioinform., 2018

Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data.

Yong Zhuang, David L. Small, Xin Shu, Kui Yu, Shafiqul Islam, Wei Ding

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

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

Zihan Li, Wei Ding, Kui Yu, Suzanne G. Leveille, Pin Chen

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

Markov Blanket Feature Selection Using Representative Sets.

Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang

IEEE Trans. Neural Networks Learn. Syst., 2017

2016

Scalable and Accurate Online Feature Selection for Big Data.

Kui Yu, Xindong Wu, Wei Ding, Jian Pei

ACM Trans. Knowl. Discov. Data, 2016

LOFS: A library of online streaming feature selection.

Kui Yu, Wei Ding, Xindong Wu

Knowl. Based Syst., 2016

An evaluation of big data analytics in feature selection for long-lead extreme floods forecasting.

Yong Zhuang, Kui Yu, Dawei Wang, Wei Ding

Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

A Novel Android Malware Detection Method Based on Markov Blanket.

Xiaotian Zhang, Donghui Hu, Yuqi Fan, Kui Yu

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2015

Classification with Streaming Features: An Emerging-Pattern Mining Approach.

Kui Yu, Wei Ding, Dan A. Simovici, Hao Wang, Jian Pei, Xindong Wu

ACM Trans. Knowl. Discov. Data, 2015

Tornado Forecasting with Multiple Markov Boundaries.

Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Towards Scalable and Accurate Online Feature Selection for Big Data.

Kui Yu, Xindong Wu, Wei Ding, Jian Pei

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data.

Kui Yu, Wei Ding, Hao Wang, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2013

Online Feature Selection with Streaming Features.

Xindong Wu, Kui Yu, Wei Ding, Hao Wang, Xingquan Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2013

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

Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Markov Blanket Feature Selection with Non-faithful Data Distributions.

Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Exploring Causal Relationships with Streaming Features.

Kui Yu, Xindong Wu, Wei Ding, Hao Wang

Comput. J., 2012

Mining emerging patterns by streaming feature selection.

Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Alliance Mechanism Based on Cloud Computing.

Jing Xu, Shuangqi Yang, Kui Yu

Proceedings of the Information Computing and Applications - Third International Conference, 2012

2011

L1 regularized ordering for learning Bayesian network classifiers.

Ying Wang, Hao Wang, Kui Yu, Hongliang Yao

Proceedings of the Seventh International Conference on Natural Computation, 2011

Causal Associative Classification.

Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Online Streaming Feature Selection.

Xindong Wu, Kui Yu, Hao Wang, Wei Ding

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Causal Discovery from Streaming Features.

Kui Yu, Xindong Wu, Hao Wang, Wei Ding

Proceedings of the ICDM 2010, 2010

Application of the multi-level fuzzy decision-making method in the social evaluation of hydraulic engineering construction project.

Xiaowei Zhang, Xuefeng Yu, Kui Yu

Proceedings of the Third International Workshop on Advanced Computational Intelligence, 2010

Online causal discovery.

Kui Yu, Xindong Wu, Hao Wang

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009

Application of Fuzzy Dynamic Programming Model in the Coordination Analysis and Allocation of Regional Water Resources.

Xuefeng Yu, Xiaowei Zhang, Lili Mu, Kui Yu

Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009

2007

A Parallel Algorithm for Learning Bayesian Networks.

Kui Yu, Hao Wang, Xindong Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006

Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm.

Hao Wang, Kui Yu, Xindong Wu, Hongliang Yao

Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006