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2020 – today
- 2024
- [j60]Shaojing Sheng
, Xianjie Guo
Local causal structure learning with missing data. Expert Syst. Appl. 238(Part A): 121831 (2024) - [j59]Yujie Wang
Discovering causally invariant features for out-of-distribution generalization. Pattern Recognit. 150: 110338 (2024) - [j58]Yuhong Zhang
A cross-network node classification method in open-set scenario. Pattern Recognit. 155: 110718 (2024) - [j57]Jinghong Xia, Yuling Li, Kui Yu:
Lgt: long-range graph transformer for early rumor detection. Soc. Netw. Anal. Min. 14(1): 100 (2024) - [j56]Guodu Xiang
Bootstrap-Based Layerwise Refining for Causal Structure Learning. IEEE Trans. Artif. Intell. 5(6): 2708-2722 (2024) - [j55]Shujing Yang, Fuyuan Cao
Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning. IEEE Trans. Big Data 10(4): 442-456 (2024) - [j54]Kui Yu
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data 18(2): 37:1-37:27 (2024) - [j53]Yuhong Zhang
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment. ACM Trans. Knowl. Discov. Data 18(4): 92:1-92:23 (2024) - [j52]Zhaolong Ling
Fair Feature Selection: A Causal Perspective. ACM Trans. Knowl. Discov. Data 18(7): 163 (2024) - [j51]Xianjie Guo
Causal Feature Selection With Dual Correction. IEEE Trans. Neural Networks Learn. Syst. 35(1): 938-951 (2024) - [j50]Debo Cheng
Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11542-11552 (2024) - [j49]Yuling Li, Kui Yu, Yuhong Zhang, Jiye Liang, Xindong Wu:
Adaptive Prototype Interaction Network for Few-Shot Knowledge Graph Completion. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15237-15250 (2024) - [j48]Fei Liu
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst. 42(5): 139:1-139:26 (2024) - [c38]Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. AAAI 2024: 12235-12243 - [c37]Shuaibo Hu, Kui Yu:
Learning Robust Rationales for Model Explainability: A Guidance-Based Approach. AAAI 2024: 18243-18251 - [c36]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 - [c35]Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li:
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection. IJCAI 2024: 4071-4079 - [i22]Yukun Song, Dayuan Cao, Jiali Miao, Shuai Yang, Kui Yu:
Causal Multi-Label Feature Selection in Federated Setting. CoRR abs/2403.06419 (2024) - 2023
- [j47]Xiaoling Huang, Xianjie Guo, Yuling Li, Kui Yu:
A novel data enhancement approach to DAG learning with small data samples. Appl. Intell. 53(22): 27589-27607 (2023) - [j46]Pei-Pei Li
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. IEEE Trans. Big Data 9(1): 341-357 (2023) - [j45]Zhaolong Ling
Causal Feature Selection With Efficient Spouses Discovery. IEEE Trans. Big Data 9(2): 555-568 (2023) - [j44]Jianli Huang
Towards Privacy-Aware Causal Structure Learning in Federated Setting. IEEE Trans. Big Data 9(6): 1525-1535 (2023) - [j43]Shuai Yang
Causal Feature Selection in the Presence of Sample Selection Bias. ACM Trans. Intell. Syst. Technol. 14(5): 78:1-78:18 (2023) - [j42]Shuai Yang
Learning Causal Representations for Robust Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(3): 2750-2764 (2023) - [j41]Zhaolong Ling
A Light Causal Feature Selection Approach to High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 35(8): 7639-7650 (2023) - [j40]Xianjie Guo
Adaptive Skeleton Construction for Accurate DAG Learning. IEEE Trans. Knowl. Data Eng. 35(10): 10526-10539 (2023) - [j39]Yuhong Zhang
Independent Relation Representation With Line Graph for Cross-Lingual Entity Alignment. IEEE Trans. Knowl. Data Eng. 35(11): 11503-11514 (2023) - [j38]Kui Yu
Multilabel Feature Selection: A Local Causal Structure Learning Approach. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3044-3057 (2023) - [j37]Debo Cheng
Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6108-6120 (2023) - [j36]Yunxia Wang, Fuyuan Cao
Local Causal Discovery in Multiple Manipulated Datasets. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7235-7247 (2023) - [c34]Yuhong Zhang, Dan Lu, Chenyang Bu, Kui Yu, Xindong Wu:
Cross-Knowledge Graph Relation Completion for Non-isomorphic Cross-lingual Entity Alignment. DMSVIVA 2023: 24-31 - [c33]Jindi Li, Kui Yu, Yuling Li, Yuhong Zhang:
TransD-based Multi-hop Meta Learning for Few-shot Knowledge Graph Completion. IJCNN 2023: 1-8 - [c32]Yuwei Wang, Yuling Li, Kui Yu, Yimin Hu:
Knowledge-Enhanced Hierarchical Transformers for Emotion-Cause Pair Extraction. PAKDD (4) 2023: 112-123 - [i21]Ziqi Xu, Debo Cheng
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion. CoRR abs/2304.11969 (2023) - [i20]Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu:
Fair Causal Feature Selection. CoRR abs/2306.10336 (2023) - [i19]Ziqi Xu, Debo Cheng
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. CoRR abs/2310.01937 (2023) - 2022
- [j35]Debo Cheng
Sufficient dimension reduction for average causal effect estimation. Data Min. Knowl. Discov. 36(3): 1174-1196 (2022) - [j34]Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang:
Error-aware Markov blanket learning for causal feature selection. Inf. Sci. 589: 849-877 (2022) - [j33]Junlong Li, Pei-Pei Li, Xuegang Hu
Learning common and label-specific features for multi-Label classification with correlation information. Pattern Recognit. 121: 108259 (2022) - [j32]Zhaolong Ling
Causal learner: A toolbox for causal structure and Markov blanket learning. Pattern Recognit. Lett. 163: 92-95 (2022) - [j31]Shuai Yang
Towards Efficient Local Causal Structure Learning. IEEE Trans. Big Data 8(6): 1592-1609 (2022) - [j30]Shuai Yang
Dual-Representation-Based Autoencoder for Domain Adaptation. IEEE Trans. Cybern. 52(8): 7464-7477 (2022) - [j29]Fei Liu
Fuzzy Bayesian Knowledge Tracing. IEEE Trans. Fuzzy Syst. 30(7): 2412-2425 (2022) - [j28]Kui Yu
Causal Feature Selection with Missing Data. ACM Trans. Knowl. Discov. Data 16(4): 66:1-66:24 (2022) - [j27]Zhaolong Ling
PSL: An Algorithm for Partial Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data 16(5): 93:1-93:25 (2022) - [c31]Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang:
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets. AAAI 2022: 8584-8593 - [c30]Xianjie Guo
Bootstrap-based Causal Structure Learning. CIKM 2022: 656-665 - [c29]Yuling Li, Kui Yu, Xiaoling Huang, Yuhong Zhang:
Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion. EMNLP 2022: 7691-7700 - [c28]Jing Wang, Peipei Li, Kui Yu:
Partial Multi-Label Feature Selection. IJCNN 2022: 1-9 - [c27]Yiwen Cao, Kui Yu, Xiaoling Huang, Yujie Wang:
A New Skeleton-Neural DAG Learning Approach. PAKDD (1) 2022: 626-638 - [e1]Peipei Li, Kui Yu, Nitesh V. Chawla, Ronen Feldman, Qing Li, Xindong Wu:
IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022. IEEE 2022, ISBN 978-1-6654-5101-7 [contents] - [i18]Yuling Li
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion. CoRR abs/2203.11639 (2022) - [i17]Debo Cheng
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data. CoRR abs/2206.01931 (2022) - [i16]Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, Jixue Liu:
Explanatory causal effects for model agnostic explanations. CoRR abs/2206.11529 (2022) - [i15]Jianli Huang, Kui Yu, Xianjie Guo, Fuyuan Cao, Jiye Liang
Towards Privacy-Aware Causal Structure Learning in Federated Setting. CoRR abs/2211.06919 (2022) - 2021
- [j26]Yuling Li
Adversarial training with Wasserstein distance for learning cross-lingual word embeddings. Appl. Intell. 51(11): 7666-7678 (2021) - [j25]Kui Yu, Xianjie Guo
Causality-based Feature Selection: Methods and Evaluations. ACM Comput. Surv. 53(5): 111:1-111:36 (2021) - [j24]Jiuyong Li
A general framework for causal classification. Int. J. Data Sci. Anal. 11(2): 127-139 (2021) - [j23]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: 262-278 (2021) - [j22]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: 106749 (2021) - [j21]Yuling Li
Learning Cross-Lingual Mappings in Imperfectly Isomorphic Embedding Spaces. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2630-2642 (2021) - [j20]Zhaolong Ling
Using Feature Selection for Local Causal Structure Learning. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 530-540 (2021) - [j19]Kui Yu, Lin Liu
A Unified View of Causal and Non-causal Feature Selection. ACM Trans. Knowl. Discov. Data 15(4): 63:1-63:46 (2021) - [c26]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: 376-391 - [c25]Wentao Hu, Shuai Yang, Xianjie Guo
Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests. ICBK 2021: 46-53 - [c24]Yujie Wang, Shuai Yang, Xianjie Guo
Improving Gradient-based DAG Learning by Structural Asymmetry. ICBK 2021: 94-101 - [i14]Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu:
Towards Efficient Local Causal Structure Learning. CoRR abs/2103.00378 (2021) - [i13]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 abs/2103.06383 (2021) - [i12]Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li:
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning. CoRR abs/2103.06544 (2021) - [i11]Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li:
Any Part of Bayesian Network Structure Learning. CoRR abs/2103.13810 (2021) - [i10]Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li:
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning. CoRR abs/2112.10369 (2021) - 2020
- [j18]Chaofan Liu
Markov Boundary Learning With Streaming Data for Supervised Classification. IEEE Access 8: 102222-102234 (2020) - [j17]Hao Wang, Zhaolong Ling
Towards efficient and effective discovery of Markov blankets for feature selection. Inf. Sci. 509: 227-242 (2020) - [j16]Kui Yu
Multi-Source Causal Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2240-2256 (2020) - [j15]Xingyu Wu
Accurate Markov Boundary Discovery for Causal Feature Selection. IEEE Trans. Cybern. 50(12): 4983-4996 (2020) - [j14]Kui Yu
Learning Markov Blankets From Multiple Interventional Data Sets. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2005-2019 (2020) - [c23]Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao:
Multi-Label Causal Feature Selection. AAAI 2020: 6430-6437 - [c22]Debo Cheng
Causal Query in Observational Data with Hidden Variables. ECAI 2020: 2551-2558 - [i9]Debo Cheng
Causal query in observational data with hidden variables. CoRR abs/2001.10269 (2020) - [i8]Debo Cheng
Towards precise causal effect estimation from data with hidden variables. CoRR abs/2002.10091 (2020) - [i7]Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
A general framework for causal classification. CoRR abs/2003.11940 (2020) - [i6]Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li:
Learning causal representations for robust domain adaptation. CoRR abs/2011.06317 (2020)
2010 – 2019
- 2019
- [j13]Jing Yang
Semantic Features Prediction for Pulmonary Nodule Diagnosis Based on Online Streaming Feature Selection. IEEE Access 7: 61121-61135 (2019) - [j12]Zhaolong Ling
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection. ACM Trans. Intell. Syst. Technol. 10(5): 52:1-52:25 (2019) - [j11]Kui Yu
Markov Boundary-Based Outlier Mining. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1259-1264 (2019) - [c21]Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen:
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. AAAI 2019: 3983-3990 - [c20]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: 1318-1323 - [i5]Kui Yu, Xianjie Guo
Causality-based Feature Selection: Methods and Evaluations. CoRR abs/1911.07147 (2019) - 2018
- [j10]Taosheng Xu, Ning Su, Lin Liu
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. BMC Bioinform. 19-S(19): 179-188 (2018) - [j9]Jing Yang
Streaming feature-based causal structure learning algorithm with symmetrical uncertainty. Inf. Sci. 467: 708-724 (2018) - [j8]Kui Yu
Mining Markov Blankets Without Causal Sufficiency. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6333-6347 (2018) - [c19]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: 146-153 - [c18]Zihan Li, Wei Ding
TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors. ICBK 2018: 213-220 - [i4]Kui Yu, Lin Liu, Jiuyong Li:
Discovering Markov Blanket from Multiple interventional Datasets. CoRR abs/1801.08295 (2018) - [i3]Kui Yu, Lin Liu, Jiuyong Li:
A Unified View of Causal and Non-causal Feature Selection. CoRR abs/1802.05844 (2018) - 2017
- [j7]Kui Yu
Markov Blanket Feature Selection Using Representative Sets. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2775-2788 (2017) - 2016
- [j6]Kui Yu, Wei Ding
LOFS: A library of online streaming feature selection. Knowl. Based Syst. 113: 1-3 (2016) - [j5]Kui Yu, Xindong Wu, Wei Ding
Scalable and Accurate Online Feature Selection for Big Data. ACM Trans. Knowl. Discov. Data 11(2): 16:1-16:39 (2016) - [c17]Xiaotian Zhang, Donghui Hu, Yuqi Fan, Kui Yu:
A Novel Android Malware Detection Method Based on Markov Blanket. DSC 2016: 347-352 - [c16]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: 1-6 - [i2]Kui Yu, Wei Ding, Xindong Wu:
LOFS: Library of Online Streaming Feature Selection. CoRR abs/1603.00531 (2016) - 2015
- [j4]Kui Yu, Wei Ding
Classification with Streaming Features: An Emerging-Pattern Mining Approach. ACM Trans. Knowl. Discov. Data 9(4): 30:1-30:31 (2015) - [c15]Kui Yu, Dawei Wang, Wei Ding
Tornado Forecasting with Multiple Markov Boundaries. KDD 2015: 2237-2246 - [i1]Kui Yu, Xindong Wu, Wei Ding, Jian Pei:
Scalable and Accurate Online Feature Selection for Big Data. CoRR abs/1511.09263 (2015) - 2014
- [c14]Kui Yu, Xindong Wu, Wei Ding
Towards Scalable and Accurate Online Feature Selection for Big Data. ICDM 2014: 660-669 - 2013
- [j3]Xindong Wu, Kui Yu, Wei Ding
Online Feature Selection with Streaming Features. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1178-1192 (2013) - [j2]Kui Yu, Wei Ding
Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 25(12): 2721-2739 (2013) - [c13]Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding
Markov Blanket Feature Selection with Non-faithful Data Distributions. ICDM 2013: 857-866 - [c12]Dawei Wang, Wei Ding
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification. KDD 2013: 1285-1293 - 2012
- [j1]Kui Yu, Xindong Wu, Wei Ding
Exploring Causal Relationships with Streaming Features. Comput. J. 55(9): 1103-1117 (2012) - [c11]Jing Xu, Shuangqi Yang, Kui Yu:
Alliance Mechanism Based on Cloud Computing. ICICA (2) 2012: 514-520 - [c10]Kui Yu, Wei Ding
Mining emerging patterns by streaming feature selection. KDD 2012: 60-68 - 2011
- [c9]Kui Yu, Xindong Wu, Wei Ding
Causal Associative Classification. ICDM 2011: 914-923 - [c8]Ying Wang, Hao Wang, Kui Yu, Hongliang Yao:
L1 regularized ordering for learning Bayesian network classifiers. ICNC 2011: 1522-1526 - 2010
- [c7]Kui Yu, Xindong Wu, Hao Wang:
Online causal discovery. IEEE ICCI 2010: 667-671 - [c6]Xiaowei Zhang, Xuefeng Yu, Kui Yu:
Application of the multi-level fuzzy decision-making method in the social evaluation of hydraulic engineering construction project. IWACI 2010: 213-217 - [c5]Kui Yu, Xindong Wu, Hao Wang, Wei Ding
Causal Discovery from Streaming Features. ICDM 2010: 1163-1168 - [c4]Xindong Wu, Kui Yu, Hao Wang, Wei Ding:
Online Streaming Feature Selection. ICML 2010: 1159-1166
2000 – 2009
- 2009
- [c3]Xuefeng Yu, Xiaowei Zhang, Lili Mu, Kui Yu:
Application of Fuzzy Dynamic Programming Model in the Coordination Analysis and Allocation of Regional Water Resources. ISCID (2) 2009: 202-206 - 2007
- [c2]Kui Yu, Hao Wang, Xindong Wu:
A Parallel Algorithm for Learning Bayesian Networks. PAKDD 2007: 1055-1063 - 2006
- [c1]Hao Wang, Kui Yu, Xindong Wu, Hongliang Yao:
Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm. ISMIS 2006: 127-136
Coauthor Index
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