Kui Yu

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 99

Top Venues

CoRR

IEEE Trans. Neural Networks Learn. Syst.

ACM Trans. Knowl. Discov. Data

IEEE Trans. Big Data

Publications

Jinghong Xia, Yuling Li, Kui Yu
Lgt: long-range graph transformer for early rumor detection. Soc. Netw. Anal. Min. 14 (1) (2024)
Shaojing Sheng, Xianjie Guo, Kui Yu, Xindong Wu
Local causal structure learning with missing data. Expert Syst. Appl. 238 (Part A) (2024)
Yuhong Zhang, Yunlong Ji, Kui Yu, Xuegang Hu, Xindong Wu
A cross-network node classification method in open-set scenario. Pattern Recognit. 155 (2024)
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. ICLR (2024)
Shuaibo Hu, Kui Yu
Learning Robust Rationales for Model Explainability: A Guidance-Based Approach. AAAI (2024)
Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li
Causal Feature Selection With Dual Correction. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu
Fair Feature Selection: A Causal Perspective. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. AAAI (2024)
Shujing Yang, Fuyuan Cao, Kui Yu, Jiye Liang
Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning. IEEE Trans. Big Data 10 (4) (2024)
Guodu Xiang, Hao Wang, Kui Yu, Xianjie Guo, Fuyuan Cao, Yukun Song
Bootstrap-Based Layerwise Refining for Causal Structure Learning. IEEE Trans. Artif. Intell. 5 (6) (2024)
Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst. 42 (5) (2024)
Yukun Song, Dayuan Cao, Jiali Miao, Shuai Yang, Kui Yu
Causal Multi-Label Feature Selection in Federated Setting. CoRR (2024)
Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Yujie Wang, Kui Yu, Guodu Xiang, Fuyuan Cao, Jiye Liang
Discovering causally invariant features for out-of-distribution generalization. Pattern Recognit. 150 (2024)
Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu
Fair Feature Selection: A Causal Perspective. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
Local Causal Discovery in Multiple Manipulated Datasets. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Yuhong Zhang, Dan Lu, Chenyang Bu, Kui Yu, Xindong Wu
Cross-Knowledge Graph Relation Completion for Non-isomorphic Cross-lingual Entity Alignment. DMSVIVA (2023)
Xiaoling Huang, Xianjie Guo, Yuling Li, Kui Yu
A novel data enhancement approach to DAG learning with small data samples. Appl. Intell. 53 (22) (2023)
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Pei-Pei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. IEEE Trans. Big Data 9 (1) (2023)
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
Learning Causal Representations for Robust Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu
Fair Causal Feature Selection. CoRR (2023)
Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li
Adaptive Skeleton Construction for Accurate DAG Learning. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Shuai Yang, Xianjie Guo, Kui Yu, Xiaoling Huang, Tingting Jiang, Jin He, Lichuan Gu
Causal Feature Selection in the Presence of Sample Selection Bias. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Zhaolong Ling, Ying Li, Yiwen Zhang, Kui Yu, Peng Zhou, Bo Li, Xindong Wu
A Light Causal Feature Selection Approach to High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Jindi Li, Kui Yu, Yuling Li, Yuhong Zhang
TransD-based Multi-hop Meta Learning for Few-shot Knowledge Graph Completion. IJCNN (2023)
Yuwei Wang, Yuling Li, Kui Yu, Yimin Hu
Knowledge-Enhanced Hierarchical Transformers for Emotion-Cause Pair Extraction. PAKDD (4) (2023)
Kui Yu, Mingzhu Cai, Xingyu Wu, Lin Liu, Jiuyong Li
Multilabel Feature Selection: A Local Causal Structure Learning Approach. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Jianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang
Towards Privacy-Aware Causal Structure Learning in Federated Setting. IEEE Trans. Big Data 9 (6) (2023)
Zhaolong Ling, Bo Li, Yiwen Zhang, Qingren Wang, Kui Yu, Xindong Wu
Causal Feature Selection With Efficient Spouses Discovery. IEEE Trans. Big Data 9 (2) (2023)
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. CoRR (2023)
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion. CoRR (2023)
Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu
Independent Relation Representation With Line Graph for Cross-Lingual Entity Alignment. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Yuling Li, Kui Yu, Yuhong Zhang, Xindong Wu
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion. CoRR (2022)
Jianli Huang, Kui Yu, Xianjie Guo, Fuyuan Cao, Jiye Liang
Towards Privacy-Aware Causal Structure Learning in Federated Setting. CoRR (2022)
Yuling Li, Kui Yu, Xiaoling Huang, Yuhong Zhang
Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion. EMNLP (2022)
Kui Yu, Yajing Yang, Wei Ding
Causal Feature Selection with Missing Data. ACM Trans. Knowl. Discov. Data 16 (4) (2022)
Shuai Yang, Kui Yu, Fuyuan Cao, Hao Wang, Xindong Wu
Dual-Representation-Based Autoencoder for Domain Adaptation. IEEE Trans. Cybern. 52 (8) (2022)
Junlong Li, Pei-Pei Li, Xuegang Hu, Kui Yu
Learning common and label-specific features for multi-Label classification with correlation information. Pattern Recognit. 121 (2022)
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
Towards Efficient Local Causal Structure Learning. IEEE Trans. Big Data 8 (6) (2022)
Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang
Error-aware Markov blanket learning for causal feature selection. Inf. Sci. 589 (2022)
Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu
PSL: An Algorithm for Partial Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, Jixue Liu
Explanatory causal effects for model agnostic explanations. CoRR (2022)
Yiwen Cao, Kui Yu, Xiaoling Huang, Yujie Wang
A New Skeleton-Neural DAG Learning Approach. PAKDD (1) (2022)
Jing Wang, Peipei Li, Kui Yu
Partial Multi-Label Feature Selection. IJCNN (2022)
Fei Liu, Xuegang Hu, Chenyang Bu, Kui Yu
Fuzzy Bayesian Knowledge Tracing. IEEE Trans. Fuzzy Syst. 30 (7) (2022)
Xianjie Guo, Yujie Wang, Xiaoling Huang, Shuai Yang, Kui Yu
Bootstrap-based Causal Structure Learning. CIKM (2022)
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets. AAAI (2022)
Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu
Sufficient dimension reduction for average causal effect estimation. Data Min. Knowl. Discov. 36 (3) (2022)
Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li
Causal learner: A toolbox for causal structure and Markov blanket learning. Pattern Recognit. Lett. 163 (2022)
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data. CoRR (2022)
Kui Yu, Lin Liu, Jiuyong Li
A Unified View of Causal and Non-causal Feature Selection. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks. CoRR (2021)
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li
Any Part of Bayesian Network Structure Learning. CoRR (2021)
Wentao Hu, Shuai Yang, Xianjie Guo, Kui Yu
Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests. ICBK (2021)
Yuling Li, Kui Yu, Yuhong Zhang
Learning Cross-Lingual Mappings in Imperfectly Isomorphic Embedding Spaces. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Zhaolong Ling, Kui Yu, Hao Wang, Lei Li, Xindong Wu
Using Feature Selection for Local Causal Structure Learning. IEEE Trans. Emerg. Top. Comput. Intell. 5 (4) (2021)
Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning. CoRR (2021)
Xiulin Zheng, Peipei Li, Xuegang Hu, Kui Yu
Semi-supervised classification on data streams with recurring concept drift and concept evolution. Knowl. Based Syst. 215 (2021)
Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
A general framework for causal classification. Int. J. Data Sci. Anal. 11 (2) (2021)
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
Towards Efficient Local Causal Structure Learning. CoRR (2021)
Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen
Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition. Inf. Sci. 571 (2021)
Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning. CoRR (2021)
Yujie Wang, Shuai Yang, Xianjie Guo, Kui Yu
Improving Gradient-based DAG Learning by Structural Asymmetry. ICBK (2021)
Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks. DASFAA (2) (2021)
Yuling Li, Yuhong Zhang, Kui Yu, Xuegang Hu
Adversarial training with Wasserstein distance for learning cross-lingual word embeddings. Appl. Intell. 51 (11) (2021)
Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le
Multi-Source Causal Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 42 (9) (2020)
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
Causality-based Feature Selection: Methods and Evaluations. ACM Comput. Surv. 53 (5) (2020)
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
Causal Query in Observational Data with Hidden Variables. ECAI (2020)
Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
A general framework for causal classification. CoRR (2020)
Xingyu Wu, Bingbing Jiang, Kui Yu, Chunyan Miao, Huanhuan Chen
Accurate Markov Boundary Discovery for Causal Feature Selection. IEEE Trans. Cybern. 50 (12) (2020)
Hao Wang, Zhaolong Ling, Kui Yu, Xindong Wu
Towards efficient and effective discovery of Markov blankets for feature selection. Inf. Sci. 509 (2020)
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
Causal query in observational data with hidden variables. CoRR (2020)
Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao
Multi-Label Causal Feature Selection. AAAI (2020)
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
Learning causal representations for robust domain adaptation. CoRR (2020)
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
Towards precise causal effect estimation from data with hidden variables. CoRR (2020)
Kui Yu, Lin Liu, Jiuyong Li
Learning Markov Blankets From Multiple Interventional Data Sets. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Chaofan Liu, Shuai Yang, Kui Yu
Markov Boundary Learning With Streaming Data for Supervised Classification. IEEE Access 8 (2020)
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
Causality-based Feature Selection: Methods and Evaluations. CoRR (2019)
Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. AAAI (2019)
Jing Yang, Anbo Shen, Kui Yu, Yu Chen
Predicting the Semantic Characteristics of Pulmonary Nodules using Feature Selection Based on Maximum-relevance Minimum-redundancy. BIBM (2019)
Kui Yu, Huanhuan Chen
Markov Boundary-Based Outlier Mining. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Jing Yang, Na Li, Shuai Fang, Kui Yu, Yu Chen
Semantic Features Prediction for Pulmonary Nodule Diagnosis Based on Online Streaming Feature Selection. IEEE Access 7 (2019)
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Yong Zhuang, David L. Small, Xin Shu, Kui Yu, Shafiqul Islam, Wei Ding
Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data. ICBK (2018)
Jing Yang, Xiaoxue Guo, Ning An, Aiguo Wang, Kui Yu
Streaming feature-based causal structure learning algorithm with symmetrical uncertainty. Inf. Sci. 467 (2018)
Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. BMC Bioinform. (19) (2018)
Kui Yu, Lin Liu, Jiuyong Li
Discovering Markov Blanket from Multiple interventional Datasets. CoRR (2018)
Zihan Li, Wei Ding, Kui Yu, Suzanne G. Leveille, Pin Chen
TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors. ICBK (2018)
Kui Yu, Lin Liu, Jiuyong Li, Huanhuan Chen
Mining Markov Blankets Without Causal Sufficiency. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Kui Yu, Lin Liu, Jiuyong Li
A Unified View of Causal and Non-causal Feature Selection. CoRR (2018)
Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang
Markov Blanket Feature Selection Using Representative Sets. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
Kui Yu, Wei Ding, Xindong Wu
LOFS: A library of online streaming feature selection. Knowl. Based Syst. 113 (2016)
Yong Zhuang, Kui Yu, Dawei Wang, Wei Ding
An evaluation of big data analytics in feature selection for long-lead extreme floods forecasting. ICNSC (2016)
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
Scalable and Accurate Online Feature Selection for Big Data. ACM Trans. Knowl. Discov. Data 11 (2) (2016)
Xiaotian Zhang, Donghui Hu, Yuqi Fan, Kui Yu
A Novel Android Malware Detection Method Based on Markov Blanket. DSC (2016)
Kui Yu, Wei Ding, Xindong Wu
LOFS: Library of Online Streaming Feature Selection. CoRR (2016)
Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu
Tornado Forecasting with Multiple Markov Boundaries. KDD (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kui Yu