Ji-Ye Liang

Most-cited papers

Fuzzy-rough feature selection accelerator
Yu-Hua Qian, Qi Wang, Honghong Cheng, Ji-Ye Liang +1 more
2015Fuzzy Sets Syst.163 citations
Semantic Scholar
Determining the number of clusters using information entropy for mixed data
Ji-Ye Liang, Xing-Wang Zhao, De-Yu Li, Fu-Yuan Cao +1 more
2012Pattern Recognition130 citations
Semantic Scholar
Evaluation of the results of multi-attribute group decision-making with linguistic information
Ji-Fang Pang, Ji-Ye Liang
2012130 citations
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Local multigranulation decision-theoretic rough sets
Yu-Hua Qian, Xin-Yan Liang, Guo-Ping Lin, Qian Guo +1 more
2017International Journal of Approximate Reasoning123 citations Open access
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The $K$-Means-Type Algorithms Versus Imbalanced Data Distributions
Ji-Ye Liang, Liang Bai, C. Dang, Fu-Yuan Cao
2012IEEE transactions on fuzzy systems120 citations
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Attribute reduction for dynamic data sets
Feng Wang, Ji-Ye Liang, C. Dang
2013Applied Soft Computing110 citations
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A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems
Guo-Ping Lin, Ji-Ye Liang, Yu-Hua Qian, Jinjin Li
2016Knowledge-Based Systems78 citations
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A comparative study of rough sets for hybrid data
Wei Wei, Ji-Ye Liang, Yu-Hua Qian
2012Information Sciences77 citations
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Grouping granular structures in human granulation intelligence
Yu-Hua Qian, Honghong Cheng, Jie-Ting Wang, Ji-Ye Liang +2 more
2017Information Sciences74 citations
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A weighting k-modes algorithm for subspace clustering of categorical data
Fu-Yuan Cao, Ji-Ye Liang, De-Yu Li, Xing-Wang Zhao
2013Neurocomputing65 citations
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Decision-theoretic rough sets under dynamic granulation
Yan-Li Sang, Ji-Ye Liang, Yu-Hua Qian
2016Knowledge-Based Systems62 citations
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An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment
Ji-Fang Pang, Ji-Ye Liang, Peng Song
2017Applied Soft Computing58 citations
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Fuzzy Granular Structure Distance
Yu-Hua Qian, Yebin Li, Ji-Ye Liang, Guo-Ping Lin +1 more
2015IEEE transactions on fuzzy systems57 citations
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Distance: A more comprehensible perspective for measures in rough set theory
Ji-Ye Liang, Ru Li, Yu-Hua Qian
2012Knowledge-Based Systems49 citations
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The impact of cluster representatives on the convergence of the K-modes type clustering
Liang Bai, Ji-Ye Liang, C. Dang, Fu-Yuan Cao
2013IEEE Transactions on Pattern Analysis and Machine Intelligence44 citations
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MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORA
Chao Zhang, De-Yu Li, Ji-Ye Liang, Bao-Li Wang
2020International Journal of Machine Learning and Cybernetics37 citations
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Semi-supervised partial multi-label classification via consistency learning
An-Hui Tan, Ji-Ye Liang, Wei-Zhi Wu, Jia Zhang
2022Pattern Recognition31 citations
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Fuzzy rough discrimination and label weighting for multi-label feature selection
An-Hui Tan, Ji-Ye Liang, Wei-Zhi Wu, Jia Zhang +2 more
2021Neurocomputing26 citations
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Multi-view clustering via dynamic unified bipartite graph learning
Xing-Wang Zhao, Shu-Jun Wang, Xiao-Lin Liu, Ji-Ye Liang
2024Pattern Recognition21 citations
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Decision-relative discernibility matrices in the sense of entropies
Wei Wei, Ji-Ye Liang, Junhong Wang, Yu-Hua Qian
2013International Journal of General Systems21 citations
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Weak multi-label learning with missing labels via instance granular discrimination
An-Hui Tan, Xiaowan Ji, Ji-Ye Liang, Yuzhi Tao +2 more
2022Information Sciences20 citations
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A trilevel analysis of uncertainty measuresin partition-based granular computing
Bao-Li Wang, Ji-Ye Liang, Yi-Yu Yao
2022Artificial Intelligence Review19 citations
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A Normalized Numerical Scaling Method for the Unbalanced Multi-Granular Linguistic Sets
Bao-Li Wang, Ji-Ye Liang, Yu-Hua Qian, C. Dang
2015Int. J. Uncertain. Fuzziness Knowl. Based Syst.19 citations
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Uncertainty Measures for Multigranulation Approximation Space
Guo-Ping Lin, Ji-Ye Liang, Yu-Hua Qian
2015Int. J. Uncertain. Fuzziness Knowl. Based Syst.17 citations
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Graph External Attention Enhanced Transformer
Jianqing Liang, Min Chen, Ji-Ye Liang
2024International Conference on Machine Learning15 citations
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Comparison study of orthonormal representations of functional data in classification
Yin-Feng Meng, Ji-Ye Liang, Yu-Hua Qian
2016Knowledge-Based Systems13 citations
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Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer
Cheng-Hao Fang, Jianqing Liang, Ji-Ye Liang, Hangkun Wang +2 more
2025International Joint Conference on Artificial Intelligence12 citations Open access
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MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition
Jiandong Shi, Ming Li, Lu Bai, Feilong Cao +2 more
2025International Joint Conference on Artificial Intelligence12 citations Open access
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An outlier detection algorithm for categorical matrix-object data
Fu-Yuan Cao, Xiaoling Wu, Liqin Yu, Ji-Ye Liang
2021Applied Soft Computing10 citations
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Incomplete multi-view clustering via local and global co-regularization
Ji-Ye Liang, Xiao-Lin Liu, Liang Bai, Fu-Yuan Cao +1 more
2022Science China Information Sciences9 citations
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Association mining method based on neighborhood perspective
Honghong Cheng, Yu-Hua Qian, Zhi-Guo Hu, Ji-Ye Liang
2020Scientia Sinica Informationis9 citations
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Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets
Yunxia Wang, Fu-Yuan Cao, Kui Yu, Ji-Ye Liang
2022AAAI Conference on Artificial Intelligence8 citations Open access
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Clustering method based on sample's stability
Wen-Jian Wang, Jie-Ting Wang, Fei-Jiang Li, Ji-Ye Liang +1 more
2020Scientia Sinica Informationis8 citations
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An Attribute Weighted Clustering Algorithm for Mixed Data Based on Information Entropy
Ji-Ye Liang, Xing-Wang Zhao
20168 citations
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A group incremental approach for feature selection on hybrid data
Feng Wang, Wei Wei, Ji-Ye Liang
2022Soft Computing - A Fusion of Foundations, Methodologies and Applications7 citations
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Chinese Sentence Similarity Computing Based on Frame Semantic Parsing
Ru Li, Zhiqiang Wang, Shuanghong Li, Ji-Ye Liang +1 more
20137 citations
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Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks
Zhiqiang Wang, Jiayu Guo, Jianqing Liang, Ji-Ye Liang +2 more
2025AAAI Conference on Artificial Intelligence6 citations Open access
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Causal intervention for knowledge graph denoising in recommender systems
Zhihao Guo, Peng Song, Chen-Jiao Feng, Kai-Xuan Yao +2 more
2024International Journal of Machine Learning and Cybernetics6 citations
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Coupling learning for feature selection in categorical data
Feng Wang, Ji-Ye Liang, Peng Song
2023International Journal of Machine Learning and Cybernetics6 citations
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Instance Selection: A Bayesian Decision Theory Perspective
Qing-Qiang Chen, Fu-Yuan Cao, Ying Xing, Ji-Ye Liang
2022AAAI Conference on Artificial Intelligence6 citations Open access
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Metric learning with clustering-based constraints
Xinyao Guo, C. Dang, Jianqing Liang, Wei Wei +1 more
2021International Journal of Machine Learning and Cybernetics6 citations
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An accelerator for support vector machines based on the local geometrical information and data partition
Yun-Sheng Song, Ji-Ye Liang, Feng Wang
2018International Journal of Machine Learning and Cybernetics6 citations
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Multi-View Fusion Graph Attention Network for Multilabel Class Incremental Learning
An-Hui Tan, Yu Wang, Wei-Zhi Wu, Weiping Ding +1 more
2025Information Fusion5 citations
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Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWI
Zhicheng Dong, Xiaodong Yue, Yu-Fei Chen, Xujing Zhou +1 more
2024International Conference on Medical Image Computing and Computer-Assisted Intervention5 citations
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Debiased graph contrastive learning based on positive and unlabeled learning
Zhiqiang Li, Jie Wang, Ji-Ye Liang
2023International Journal of Machine Learning and Cybernetics5 citations
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Cross-modal propagation network for generalized zero-shot learning
Ting Guo, Jianqing Liang, Ji-Ye Liang, Guo-Sen Xie
2022Pattern Recognition Letters5 citations
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Combining attribute content and label information for categorical data ensemble clustering
Liqin Yu, Fu-Yuan Cao, Xing-Wang Zhao, Xiaodan Yang +1 more
2020Applied Mathematics and Computation5 citations
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Point Cloud Semantic Scene Completion with Prototype-Guided Transformer
Cheng-Hao Fang, Jianqing Liang, Ji-Ye Liang, Zi-Jin Du +1 more
2026AAAI Conference on Artificial Intelligence4 citations Open access
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CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning
Jun Wang, Fu-Yuan Cao, Zhixin Xue, Xing-Wang Zhao +1 more
2025Neural Information Processing Systems4 citations
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Label Noise Correction via Fuzzy Learning Machine
Ji-Ye Liang, Yi-Xiao Li, Junbiao Cui
2025AAAI Conference on Artificial Intelligence3 citations Open access
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