Keyu Liu

According to our database, Keyu Liu authored at least 47 papers between 2017 and 2025.

Collaborative distances:

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

2025

Feature selection for label distribution learning based on neighborhood fuzzy rough sets.

Zhixuan Deng, Tianrui Li, Pengfei Zhang, Keyu Liu, Zhong Yuan, Dayong Deng

Appl. Soft Comput., 2025

2024

Dynamic Feature Selection Based on F-fuzzy Rough Set for Label Distribution Learning.

Dayong Deng, Tong Chen, Zhixuan Deng, Keyu Liu, Pengfei Zhang

Int. J. Fuzzy Syst., November, 2024

DNSRF: Deep Network-based Semi-NMF Representation Framework.

Dexian Wang, Tianrui Li, Ping Deng, Zhipeng Luo, Pengfei Zhang, Keyu Liu, Wei Huang

ACM Trans. Intell. Syst. Technol., October, 2024

Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy.

Damo Qian, Keyu Liu, Shiming Zhang, Xibei Yang

Appl. Intell., September, 2024

Multi-head multi-order graph attention networks.

Jie Ben, Qiguo Sun, Keyu Liu, Xibei Yang, Fengjun Zhang

Appl. Intell., September, 2024

BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration.

Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang

IEEE Trans. Fuzzy Syst., August, 2024

Feature Selection for Handling Label Ambiguity Using Weighted Label-Fuzzy Relevancy and Redundancy.

Zhixuan Deng, Tianrui Li, Dayong Deng, Keyu Liu, Zhipeng Luo, Pengfei Zhang

IEEE Trans. Fuzzy Syst., August, 2024

Heterogeneous Feature Selection Based on Neighborhood Combination Entropy.

Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Keyu Liu, Xiaoling Yang

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

Feature selection based on probability and mathematical expectation.

Zhixuan Deng, Tianrui Li, Keyu Liu, Pengfei Zhang, Dayong Deng

Int. J. Mach. Learn. Cybern., February, 2024

Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures.

Tengyu Yin, Hongmei Chen, Zhihong Wang, Keyu Liu, Zhong Yuan, Shi-Jinn Horng, Tianrui Li

Pattern Recognit., 2024

CiteNet: Cross-modal incongruity perception network for multimodal sentiment prediction.

Jie Wang, Yan Yang, Keyu Liu, Zhuyang Xie, Fan Zhang, Tianrui Li

Knowl. Based Syst., 2024

Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training.

Hui Cong, Qiguo Sun, Xibei Yang, Keyu Liu, Yuhua Qian

Inf. Sci., 2024

Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction.

Qihang Guo, Keyu Liu, Taihua Xu, Pingxin Wang, Xibei Yang

Expert Syst. Appl., 2024

2023

A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction.

Tengyu Yin, Hongmei Chen, Zhong Yuan, Jihong Wan, Keyu Liu, Shi-Jinn Horng, Tianrui Li

IEEE Trans. Fuzzy Syst., December, 2023

A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation.

Shuaishuai Zhang, Keyu Liu, Taihua Xu, Xibei Yang, Ao Zhang

Appl. Intell., December, 2023

SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy.

Keyu Liu, Tianrui Li, Xibei Yang, Hongmei Chen, Jie Wang, Zhixuan Deng

IEEE Trans. Fuzzy Syst., October, 2023

Real-Time Passive Acoustic Mapping With Enhanced Spatial Resolution in Neuronavigation-Guided Focused Ultrasound for Blood-Brain Barrier Opening.

Sua Bae, Keyu Liu, Antonios N. Pouliopoulos, Robin Ji, Elisa E. Konofagou

IEEE Trans. Biomed. Eng., October, 2023

Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity.

Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu

Appl. Soft Comput., October, 2023

Gift: granularity over specific-class for feature selection.

Jing Ba, Keyu Liu, Xibei Yang, Yuhua Qian

Artif. Intell. Rev., October, 2023

Multi-label learning with Relief-based label-specific feature selection.

Jiadong Zhang, Keyu Liu, Xibei Yang, Hengrong Ju, Suping Xu

Appl. Intell., August, 2023

Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection.

Tengyu Yin, Hongmei Chen, Zhong Yuan, Tianrui Li, Keyu Liu

Inf. Sci., April, 2023

A Q-learning approach to attribute reduction.

Yuxin Liu, Zhice Gong, Keyu Liu, Suping Xu, Hengrong Ju, Xibei Yang

Appl. Intell., February, 2023

M3S: Scene Graph Driven Multi-Granularity Multi-Task Learning for Multi-Modal NER.

Jie Wang, Yan Yang, Keyu Liu, Zhiping Zhu, Xiaorong Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2023

An Efficient and Intelligent Detection Method for Fabric Defects based on Improved YOLOv5.

Guijuan Lin, Keyu Liu, Xuke Xia, Ruopeng Yan

Sensors, 2023

2022

Triple-G: a new MGRS and attribute reduction.

Jing Ba, Keyu Liu, Hengrong Ju, Suping Xu, Taihua Xu, Xibei Yang

Int. J. Mach. Learn. Cybern., 2022

Granular cabin: An efficient solution to neighborhood learning in big data.

Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu, Pengfei Zhang, Jie Wang

Inf. Sci., 2022

Feature selection for label distribution learning using dual-similarity based neighborhood fuzzy entropy.

Zhixuan Deng, Tianrui Li, Dayong Deng, Keyu Liu, Pengfei Zhang, Shiming Zhang, Zhipeng Luo

Inf. Sci., 2022

Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization.

Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu

Int. J. Approx. Reason., 2022

Random sampling accelerator for attribute reduction.

Zhen Chen, Keyu Liu, Xibei Yang, Hamido Fujita

Int. J. Approx. Reason., 2022

Neighborhood rough set based ensemble feature selection with cross-class sample granulation.

Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu

Appl. Soft Comput., 2022

Instance-Guided Multi-modal Fake News Detection with Dynamic Intra- and Inter-modality Fusion.

Jie Wang, Yan Yang, Keyu Liu, Peng Xie, Xiaorong Liu

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

ROSES: A Novel Semi-supervised Feature Selector.

Xiaoyu Zhang, Keyu Liu, Jing Ba, Xin Yang, Xibei Yang

Proceedings of the Intelligent Information Processing XI, 2022

2021

Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction.

Zhong Yuan, Hongmei Chen, Xiaoling Yang, Tianrui Li, Keyu Liu

Knowl. Based Syst., 2021

Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations.

Xin Yang, Dun Liu, Xibei Yang, Keyu Liu, Tianrui Li

Inf. Sci., 2021

Accelerator for crosswise computing reduct.

Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li, Yuhua Qian

Appl. Soft Comput., 2021

2020

Supervised information granulation strategy for attribute reduction.

Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Xiangjian Chen, Dun Liu

Int. J. Mach. Learn. Cybern., 2020

Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach.

Xiansheng Rao, Keyu Liu, Jingjing Song, Xibei Yang, Yuhua Qian

J. Intell. Fuzzy Syst., 2020

Attribute group for attribute reduction.

Yan Chen, Keyu Liu, Jingjing Song, Hamido Fujita, Xibei Yang, Yuhua Qian

Inf. Sci., 2020

Accelerator for supervised neighborhood based attribute reduction.

Zehua Jiang, Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Yuhua Qian

Int. J. Approx. Reason., 2020

2019

Rough set based semi-supervised feature selection via ensemble selector.

Keyu Liu, Xibei Yang, Hualong Yu, Jusheng Mi, Pingxin Wang, Xiangjian Chen

Knowl. Based Syst., 2019

An efficient selector for multi-granularity attribute reduction.

Keyu Liu, Xibei Yang, Hamido Fujita, Dun Liu, Xin Yang, Yuhua Qian

Inf. Sci., 2019

Similarity Aware Safety Multimedia Data Transmission Mechanism for Internet of Vehicles.

Dapeng Wu, Lingli Deng, Honggang Wang, Keyu Liu, Ruyan Wang

Future Gener. Comput. Syst., 2019

Neighborhood Classifier for Label Noise.

Xiansheng Rao, Jingjing Song, Xibei Yang, Keyu Liu, Pingxin Wang

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018

NDER Attribute Reduction via an Ensemble Approach.

Huixiang Wen, Appiahmantey Eric, Xiangjian Chen, Keyu Liu, Pingxin Wang

Proceedings of the Rough Sets - International Joint Conference, 2018

Multi-granularity Attribute Reduction.

Shaochen Liang, Keyu Liu, Xiangjian Chen, Pingxin Wang, Xibei Yang

Proceedings of the Rough Sets - International Joint Conference, 2018

Distance Based On Neighborhood Classifier and Attribute Reduction.

Yuan Gao, Keyu Liu, Jingjing Song, Xiang-Jian Chen, Xibei Yang

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017

Malicious-Behavior-Aware D2D Link Selection Mechanism.

Ruyan Wang, Keyu Liu, Dapeng Wu, Honggang Wang, Junjie Yan

IEEE Access, 2017