Kui Yu

163 papers A* 21A 4B 3C 1Misc 1Journal 113Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dependency-based anomaly detection: A general framework and comprehensive evaluation.
Expert Syst. Appl.
Sha Lu, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu, Jiuyong Li
2026 J jnl
Linking model intervention to causal interpretation in model explanation.
Pattern Recognit.
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2026 A* conf
Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models.
WWW
Juntao Yang, Dayuan Cao, Kui Yu, Xiang Wang, Jing Yang, Lin Liu, Jiuyong Li
2025 J jnl
A Cognitive Diagnosis Model With Nonlinear Dependence Between Students and Exercises.
IEEE Trans. Comput. Soc. Syst.
Yuhong Zhang, Zhihao Lin, Chenyang Bu, Kui Yu, Xuegang Hu, Xindong Wu
2025 J jnl
A semantic structure-based emotion-guided model for emotion-cause pair extraction.
Pattern Recognit.
Yuwei Wang, Yuling Li, Kui Yu, Jing Yang
2025 — conf
AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration.
ACL (3)
Minjiang Huang, Jipeng Qiang, Yi Zhu, Chaowei Zhang, Xiangyu Zhao, Kui Yu
2025 J jnl
AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration.
CoRR
Minjiang Huang, Jipeng Qiang, Yi Zhu, Chaowei Zhang, Zhaoxiang Zhang, Kui Yu
2025 A conf
An Robust Entity Alignment Method based on Knowledge Distillation with Noisy Aligned Pairs.
CIKM
Yuhong Zhang, Hangchi Song, Xiaolong Zhu, Chenyang Bu, Kui Yu
2025 J jnl
An adaptive dung beetle optimizer based on an elastic annealing mechanism and its application to numerical problems and optimization of Reed-Muller logic circuits.
Frontiers Inf. Technol. Electron. Eng.
Lixin Miao, Zhenxue He, Xiaojun Zhao, Yijin Wang, Xiaodan Zhang, Kui Yu, Limin Xiao, Zhisheng Huo
2025 — conf
Boosting Explainability through Selective Rationalization in Pre-trained Language Models.
KDD (1)
Libing Yuan, Shuaibo Hu, Kui Yu, Le Wu
2025 J jnl
Boosting Explainability through Selective Rationalization in Pre-trained Language Models.
CoRR
Libing Yuan, Shuaibo Hu, Kui Yu, Le Wu
2025 J jnl
CM-CaFE: A Clustering Method with Causality-based Feature Embedding.
ACM Trans. Knowl. Discov. Data
Xuechun Jing, Fuyuan Cao, Kui Yu, Jiye Liang
2025 J jnl
Causal Discovery Using Weight-Based Conditional Independence Test.
ACM Trans. Knowl. Discov. Data
Zhaolong Ling, Bo Li, Yiwen Zhang, Peng Zhou, Xingyu Wu, Yuee Huang, Kui Yu, Xindong Wu
2025 J jnl
Causal Feature Selection With Imbalanced Data.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Bingbing Jiang, Kui Yu, Xindong Wu
2025 J jnl
Chain graphs structure learning given local background knowledge.
Int. J. Approx. Reason.
Shujing Yang, Fuyuan Cao, Kui Yu, Jiye Liang
2025 J jnl
Corrigendum to "Hierarchical Feature-guided Prototypical Network for Few-shot Knowledge Graph Completion" [Neural Networks Volume 191, November 2025, 107702/NN_107702].
Neural Networks
Yuling Li, Kui Yu, Fei Yang, Chunfeng Shen, Ji Chang, Zerui Li, Kang Liu
2025 J jnl
Detection to anomalous data using hypersphere method with mapping transformation.
Expert Syst. Appl.
Jian Zheng, Zhang Jian, Kui Yu, Shiyan Wang
2025 J jnl
Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions.
CoRR
Kun Zhang, Le Wu, Kui Yu, Guangyi Lv, Dacao Zhang
2025 J jnl
FWCEC: An Enhanced Feature Weighting Method via Causal Effect for Clustering.
IEEE Trans. Knowl. Data Eng.
Fuyuan Cao, Xuechun Jing, Kui Yu, Jiye Liang
2025 J jnl
FedECE: Federated Estimation of Causal Effect Based on Causal Graphical Modeling.
IEEE Trans. Artif. Intell.
Yongsheng Zhao, Kui Yu, Guodu Xiang, Xianjie Guo, Fuyuan Cao
2025 A* conf
Federated Causal Structure Learning with Non-identical Variable Sets.
ICML
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
2025 A* conf
Federated Causally Invariant Feature Learning.
AAAI
Xianjie Guo, Kui Yu, Lizhen Cui, Han Yu, Xiaoxiao Li
2025 J jnl
Federated causal structure learning with missing data.
Knowl. Based Syst.
Jiaqi Shi, Xiaoling Huang, Xianjie Guo, Kui Yu, Chengxiang Hu, Peng Zhou
2025 J jnl
Federated local causal structure learning.
Sci. China Inf. Sci.
Kui Yu, Chen Rong, Hao Wang, Fuyuan Cao, Jiye Liang
2025 J jnl
Hierarchical feature-guided prototypical network for few-shot knowledge graph completion.
Neural Networks
Yuling Li, Kui Yu, Fei Yang, Chunfeng Shen, Ji Chang, Zerui Li, Kang Liu
2025 A* conf
Hybrid Local Causal Discovery.
IJCAI
Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu, Peng Zhou, Kui Yu
2025 J jnl
LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery.
CoRR
Xingyu Wu, Kui Yu, Jibin Wu, Kay Chen Tan
2025 J jnl
Label-Aware Causal Feature Selection.
IEEE Trans. Knowl. Data Eng.
Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu
2025 A* conf
Local Causal Discovery Without Causal Sufficiency.
AAAI
Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou, Xingyu Wu, Bingbing Jiang, Kui Yu
2025 J jnl
Prompt Transfer for Dual-Aspect Cross-Domain Cognitive Diagnosis.
IEEE Trans. Comput. Soc. Syst.
Fei Liu, Yizhong Zhang, Shuochen Liu, Shengwei Ji, Kui Yu, Le Wu
2025 J jnl
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification.
CoRR
Jipeng Qiang, Minjiang Huang, Yi Zhu, Yunhao Yuan, Chaowei Zhang, Kui Yu
2025 J jnl
Summary Graph Induced Invariant Learning for Generalizable Graph Learning.
IEEE Trans. Knowl. Data Eng.
Xuecheng Ning, Yujie Wang, Kui Yu, Jiali Miao, Fuyuan Cao, Jiye Liang
2025 A conf
Trustworthy Knowledge Discovery and Data Mining (TrustKDD).
CIKM
Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian
2024 J jnl
A cross-network node classification method in open-set scenario.
Pattern Recognit.
Yuhong Zhang, Yunlong Ji, Kui Yu, Xuegang Hu, Xindong Wu
2024 J jnl
Adaptive Prototype Interaction Network for Few-Shot Knowledge Graph Completion.
IEEE Trans. Neural Networks Learn. Syst.
Yuling Li, Kui Yu, Yuhong Zhang, Jiye Liang, Xindong Wu
2024 J jnl
Bootstrap-Based Layerwise Refining for Causal Structure Learning.
IEEE Trans. Artif. Intell.
Guodu Xiang, Hao Wang, Kui Yu, Xianjie Guo, Fuyuan Cao, Yukun Song
2024 J jnl
Causal Discovery From Unknown Interventional Datasets Over Overlapping Variable Sets.
IEEE Trans. Knowl. Data Eng.
Fuyuan Cao, Yunxia Wang, Kui Yu, Jiye Liang
2024 J jnl
Causal Feature Selection With Dual Correction.
IEEE Trans. Neural Networks Learn. Syst.
Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li
2024 A* conf
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder.
ICLR
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2024 J jnl
Causal Multi-Label Feature Selection in Federated Setting.
CoRR
Yukun Song, Dayuan Cao, Jiali Miao, Shuai Yang, Kui Yu
2024 J jnl
Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data.
IEEE Trans. Neural Networks Learn. Syst.
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2024 J jnl
Discovering causally invariant features for out-of-distribution generalization.
Pattern Recognit.
Yujie Wang, Kui Yu, Guodu Xiang, Fuyuan Cao, Jiye Liang
2024 J jnl
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment.
ACM Trans. Knowl. Discov. Data
Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu
2024 — conf
Efficient Local Causal Structure Learning with Privacy Preservation.
IJCRS (2)
Chen Rong, Dayuan Cao, Kui Yu
2024 J jnl
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning.
ACM Trans. Inf. Syst.
Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu
2024 J jnl
Fair Feature Selection: A Causal Perspective.
ACM Trans. Knowl. Discov. Data
Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu
2024 J jnl
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning.
ACM Trans. Knowl. Discov. Data
Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li
2024 A* conf
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning.
AAAI
Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li
2024 J jnl
Hybrid Local Causal Discovery.
CoRR
Zhaolong Ling, Honghui Peng, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu
2024 — conf
Instance-Level Neural Feature Selection Based on Disentanglement Enhancement.
ICKG
Zihao Liu, Jun Pan, Hao Wang, Kui Yu
2024 J jnl
Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning.
IEEE Trans. Big Data
Shujing Yang, Fuyuan Cao, Kui Yu, Jiye Liang
2024 A* conf
Learning Robust Rationales for Model Explainability: A Guidance-Based Approach.
AAAI
Shuaibo Hu, Kui Yu
2024 J jnl
Lgt: long-range graph transformer for early rumor detection.
Soc. Netw. Anal. Min.
Jinghong Xia, Yuling Li, Kui Yu
2024 J jnl
Linking Model Intervention to Causal Interpretation in Model Explanation.
CoRR
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2024 J jnl
Local causal structure learning with missing data.
Expert Syst. Appl.
Shaojing Sheng, Xianjie Guo, Kui Yu, Xindong Wu
2024 J jnl
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning.
IEEE Trans. Knowl. Data Eng.
Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li, Jiye Liang, Fuyuan Cao, Xindong Wu
2024 J jnl
Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis.
CoRR
Fei Liu, Yizhong Zhang, Shuochen Liu, Shengwei Ji, Kui Yu, Le Wu
2024 A* conf
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection.
IJCAI
Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li
2024 J jnl
Towards Effective Graph Rationalization via Boosting Environment Diversity.
CoRR
Yujie Wang, Kui Yu, Yuhong Zhang, Fuyuan Cao, Jiye Liang
2024 J jnl
Zero-shot learning with visual-semantic mutual reinforcement for image recognition.
J. Electronic Imaging
Yuhong Zhang, Taohong Chen, Kui Yu, Xuegang Hu
2023 J jnl
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification.
IEEE Trans. Big Data
Pei-Pei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu
2023 J jnl
A Light Causal Feature Selection Approach to High-Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Zhaolong Ling, Ying Li, Yiwen Zhang, Kui Yu, Peng Zhou, Bo Li, Xindong Wu
2023 J jnl
A novel data enhancement approach to DAG learning with small data samples.
Appl. Intell.
Xiaoling Huang, Xianjie Guo, Yuling Li, Kui Yu
2023 J jnl
Adaptive Skeleton Construction for Accurate DAG Learning.
IEEE Trans. Knowl. Data Eng.
Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li
2023 J jnl
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion.
CoRR
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2023 J jnl
Causal Feature Selection With Efficient Spouses Discovery.
IEEE Trans. Big Data
Zhaolong Ling, Bo Li, Yiwen Zhang, Qingren Wang, Kui Yu, Xindong Wu
2023 J jnl
Causal Feature Selection in the Presence of Sample Selection Bias.
ACM Trans. Intell. Syst. Technol.
Shuai Yang, Xianjie Guo, Kui Yu, Xiaoling Huang, Tingting Jiang, Jin He, Lichuan Gu
2023 J jnl
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder.
CoRR
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2023 — conf
Cross-Knowledge Graph Relation Completion for Non-isomorphic Cross-lingual Entity Alignment.
DMSVIVA
Yuhong Zhang, Dan Lu, Chenyang Bu, Kui Yu, Xindong Wu
2023 J jnl
Fair Causal Feature Selection.
CoRR
Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu
2023 J jnl
Independent Relation Representation With Line Graph for Cross-Lingual Entity Alignment.
IEEE Trans. Knowl. Data Eng.
Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu
2023 — conf
Knowledge-Enhanced Hierarchical Transformers for Emotion-Cause Pair Extraction.
PAKDD (4)
Yuwei Wang, Yuling Li, Kui Yu, Yimin Hu
2023 J jnl
Learning Causal Representations for Robust Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
2023 J jnl
Local Causal Discovery in Multiple Manipulated Datasets.
IEEE Trans. Neural Networks Learn. Syst.
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
2023 J jnl
Multilabel Feature Selection: A Local Causal Structure Learning Approach.
IEEE Trans. Neural Networks Learn. Syst.
Kui Yu, Mingzhu Cai, Xingyu Wu, Lin Liu, Jiuyong Li
2023 J jnl
Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables.
IEEE Trans. Neural Networks Learn. Syst.
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2023 J jnl
Towards Privacy-Aware Causal Structure Learning in Federated Setting.
IEEE Trans. Big Data
Jianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang
2023 B conf
TransD-based Multi-hop Meta Learning for Few-shot Knowledge Graph Completion.
IJCNN
Jindi Li, Kui Yu, Yuling Li, Yuhong Zhang
2022 — conf
A New Skeleton-Neural DAG Learning Approach.
PAKDD (1)
Yiwen Cao, Kui Yu, Xiaoling Huang, Yujie Wang
2022 A conf
Bootstrap-based Causal Structure Learning.
CIKM
Xianjie Guo, Yujie Wang, Xiaoling Huang, Shuai Yang, Kui Yu
2022 J jnl
Causal Feature Selection with Missing Data.
ACM Trans. Knowl. Discov. Data
Kui Yu, Yajing Yang, Wei Ding
2022 J jnl
Causal learner: A toolbox for causal structure and Markov blanket learning.
Pattern Recognit. Lett.
Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li
2022 J jnl
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data.
CoRR
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2022 J jnl
Dual-Representation-Based Autoencoder for Domain Adaptation.
IEEE Trans. Cybern.
Shuai Yang, Kui Yu, Fuyuan Cao, Hao Wang, Xindong Wu
2022 A* conf
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets.
AAAI
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
2022 J jnl
Error-aware Markov blanket learning for causal feature selection.
Inf. Sci.
Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang
2022 J jnl
Explanatory causal effects for model agnostic explanations.
CoRR
Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, Jixue Liu
2022 J jnl
Fuzzy Bayesian Knowledge Tracing.
IEEE Trans. Fuzzy Syst.
Fei Liu, Xuegang Hu, Chenyang Bu, Kui Yu
2022 — ed.
IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022
ICKG
Peipei Li, Kui Yu, Nitesh V. Chawla, Ronen Feldman, Qing Li, Xindong Wu
2022 A* conf
Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion.
EMNLP
Yuling Li, Kui Yu, Xiaoling Huang, Yuhong Zhang
2022 J jnl
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion.
CoRR
Yuling Li, Kui Yu, Yuhong Zhang, Xindong Wu
2022 J jnl
Learning common and label-specific features for multi-Label classification with correlation information.
Pattern Recognit.
Junlong Li, Pei-Pei Li, Xuegang Hu, Kui Yu
2022 J jnl
PSL: An Algorithm for Partial Bayesian Network Structure Learning.
ACM Trans. Knowl. Discov. Data
Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu
2022 B conf
Partial Multi-Label Feature Selection.
IJCNN
Jing Wang, Peipei Li, Kui Yu
2022 J jnl
Sufficient dimension reduction for average causal effect estimation.
Data Min. Knowl. Discov.
Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu
2022 J jnl
Towards Efficient Local Causal Structure Learning.
IEEE Trans. Big Data
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
2022 J jnl
Towards Privacy-Aware Causal Structure Learning in Federated Setting.
CoRR
Jianli Huang, Kui Yu, Xianjie Guo, Fuyuan Cao, Jiye Liang
2021 — conf
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks.
DASFAA (2)
Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu
2021 J jnl
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks.
CoRR
Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu
2021 J jnl
A Unified View of Causal and Non-causal Feature Selection.
ACM Trans. Knowl. Discov. Data
Kui Yu, Lin Liu, Jiuyong Li
2021 J jnl
A general framework for causal classification.
Int. J. Data Sci. Anal.
Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2021 — conf
Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests.
ICBK
Wentao Hu, Shuai Yang, Xianjie Guo, Kui Yu
2021 J jnl
Adversarial training with Wasserstein distance for learning cross-lingual word embeddings.
Appl. Intell.
Yuling Li, Yuhong Zhang, Kui Yu, Xuegang Hu
2021 J jnl
Any Part of Bayesian Network Structure Learning.
CoRR
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li
2021 J jnl
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning.
CoRR
Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li
2021 J jnl
Causality-based Feature Selection: Methods and Evaluations.
ACM Comput. Surv.
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
2021 J jnl
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning.
CoRR
Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li
2021 — conf
Improving Gradient-based DAG Learning by Structural Asymmetry.
ICBK
Yujie Wang, Shuai Yang, Xianjie Guo, Kui Yu
2021 J jnl
Learning Cross-Lingual Mappings in Imperfectly Isomorphic Embedding Spaces.
IEEE ACM Trans. Audio Speech Lang. Process.
Yuling Li, Kui Yu, Yuhong Zhang
2021 J jnl
Semi-supervised classification on data streams with recurring concept drift and concept evolution.
Knowl. Based Syst.
Xiulin Zheng, Peipei Li, Xuegang Hu, Kui Yu
2021 J jnl
Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition.
Inf. Sci.
Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen
2021 J jnl
Towards Efficient Local Causal Structure Learning.
CoRR
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
2021 J jnl
Using Feature Selection for Local Causal Structure Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhaolong Ling, Kui Yu, Hao Wang, Lei Li, Xindong Wu
2020 J jnl
A general framework for causal classification.
CoRR
Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2020 J jnl
Accurate Markov Boundary Discovery for Causal Feature Selection.
IEEE Trans. Cybern.
Xingyu Wu, Bingbing Jiang, Kui Yu, Chunyan Miao, Huanhuan Chen
2020 A conf
Causal Query in Observational Data with Hidden Variables.
ECAI
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
2020 J jnl
Causal query in observational data with hidden variables.
CoRR
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
2020 J jnl
Learning Markov Blankets From Multiple Interventional Data Sets.
IEEE Trans. Neural Networks Learn. Syst.
Kui Yu, Lin Liu, Jiuyong Li
2020 J jnl
Learning causal representations for robust domain adaptation.
CoRR
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
2020 J jnl
Markov Boundary Learning With Streaming Data for Supervised Classification.
IEEE Access
Chaofan Liu, Shuai Yang, Kui Yu
2020 A* conf
Multi-Label Causal Feature Selection.
AAAI
Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao
2020 J jnl
Multi-Source Causal Feature Selection.
IEEE Trans. Pattern Anal. Mach. Intell.
Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le
2020 J jnl
Towards efficient and effective discovery of Markov blankets for feature selection.
Inf. Sci.
Hao Wang, Zhaolong Ling, Kui Yu, Xindong Wu
2020 J jnl
Towards precise causal effect estimation from data with hidden variables.
CoRR
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2019 J jnl
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.
ACM Trans. Intell. Syst. Technol.
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu
2019 J jnl
Causality-based Feature Selection: Methods and Evaluations.
CoRR
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
2019 A* conf
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach.
AAAI
Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen
2019 J jnl
Markov Boundary-Based Outlier Mining.
IEEE Trans. Neural Networks Learn. Syst.
Kui Yu, Huanhuan Chen
2019 — conf
Predicting the Semantic Characteristics of Pulmonary Nodules using Feature Selection Based on Maximum-relevance Minimum-redundancy.
BIBM
Jing Yang, Anbo Shen, Kui Yu, Yu Chen
2019 J jnl
Semantic Features Prediction for Pulmonary Nodule Diagnosis Based on Online Streaming Feature Selection.
IEEE Access
Jing Yang, Na Li, Shuai Fang, Kui Yu, Yu Chen
2018 J jnl
A Unified View of Causal and Non-causal Feature Selection.
CoRR
Kui Yu, Lin Liu, Jiuyong Li
2018 J jnl
Discovering Markov Blanket from Multiple interventional Datasets.
CoRR
Kui Yu, Lin Liu, Jiuyong Li
2018 — conf
Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data.
ICBK
Yong Zhuang, David L. Small, Xin Shu, Kui Yu, Shafiqul Islam, Wei Ding
2018 J jnl
Mining Markov Blankets Without Causal Sufficiency.
IEEE Trans. Neural Networks Learn. Syst.
Kui Yu, Lin Liu, Jiuyong Li, Huanhuan Chen
2018 J jnl
Streaming feature-based causal structure learning algorithm with symmetrical uncertainty.
Inf. Sci.
Jing Yang, Xiaoxue Guo, Ning An, Aiguo Wang, Kui Yu
2018 — conf
TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors.
ICBK
Zihan Li, Wei Ding, Kui Yu, Suzanne G. Leveille, Pin Chen
2018 J jnl
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase.
BMC Bioinform.
Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le
2017 J jnl
Markov Blanket Feature Selection Using Representative Sets.
IEEE Trans. Neural Networks Learn. Syst.
Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang
2016 — conf
A Novel Android Malware Detection Method Based on Markov Blanket.
DSC
Xiaotian Zhang, Donghui Hu, Yuqi Fan, Kui Yu
2016 — conf
An evaluation of big data analytics in feature selection for long-lead extreme floods forecasting.
ICNSC
Yong Zhuang, Kui Yu, Dawei Wang, Wei Ding
2016 J jnl
LOFS: A library of online streaming feature selection.
Knowl. Based Syst.
Kui Yu, Wei Ding, Xindong Wu
2016 J jnl
LOFS: Library of Online Streaming Feature Selection.
CoRR
Kui Yu, Wei Ding, Xindong Wu
2016 J jnl
Scalable and Accurate Online Feature Selection for Big Data.
ACM Trans. Knowl. Discov. Data
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
2015 J jnl
Classification with Streaming Features: An Emerging-Pattern Mining Approach.
ACM Trans. Knowl. Discov. Data
Kui Yu, Wei Ding, Dan A. Simovici, Hao Wang, Jian Pei, Xindong Wu
2015 J jnl
Scalable and Accurate Online Feature Selection for Big Data.
CoRR
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
2015 A* conf
Tornado Forecasting with Multiple Markov Boundaries.
KDD
Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu
2014 A* conf
Towards Scalable and Accurate Online Feature Selection for Big Data.
ICDM
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
2013 J jnl
Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Kui Yu, Wei Ding, Hao Wang, Xindong Wu
2013 A* conf
Markov Blanket Feature Selection with Non-faithful Data Distributions.
ICDM
Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding
2013 J jnl
Online Feature Selection with Streaming Features.
IEEE Trans. Pattern Anal. Mach. Intell.
Xindong Wu, Kui Yu, Wei Ding, Hao Wang, Xingquan Zhu
2013 A* conf
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification.
KDD
Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam
2012 — conf
Alliance Mechanism Based on Cloud Computing.
ICICA (2)
Jing Xu, Shuangqi Yang, Kui Yu
2012 J jnl
Exploring Causal Relationships with Streaming Features.
Comput. J.
Kui Yu, Xindong Wu, Wei Ding, Hao Wang
2012 A* conf
Mining emerging patterns by streaming feature selection.
KDD
Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu
2011 A* conf
Causal Associative Classification.
ICDM
Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao
2011 Misc conf
L1 regularized ordering for learning Bayesian network classifiers.
ICNC
Ying Wang, Hao Wang, Kui Yu, Hongliang Yao
2010 — conf
Application of the multi-level fuzzy decision-making method in the social evaluation of hydraulic engineering construction project.
IWACI
Xiaowei Zhang, Xuefeng Yu, Kui Yu
2010 A* conf
Causal Discovery from Streaming Features.
ICDM
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
2010 A* conf
Online Streaming Feature Selection.
ICML
Xindong Wu, Kui Yu, Hao Wang, Wei Ding
2010 — conf
Online causal discovery.
IEEE ICCI
Kui Yu, Xindong Wu, Hao Wang
2009 — conf
Application of Fuzzy Dynamic Programming Model in the Coordination Analysis and Allocation of Regional Water Resources.
ISCID (2)
Xuefeng Yu, Xiaowei Zhang, Lili Mu, Kui Yu
2007 B conf
A Parallel Algorithm for Learning Bayesian Networks.
PAKDD
Kui Yu, Hao Wang, Xindong Wu
2006 C conf
Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm.
ISMIS
Hao Wang, Kui Yu, Xindong Wu, Hongliang Yao