Malicious-Behavior-Aware D2D Link Selection Mechanism. - Ruyan Wang; Keyu Liu; Dapeng Wu 002; Honggang Wang 001; Junjie Yan (IEEE Access, 2017)

Distance Based On Neighborhood Classifier and Attribute Reduction. - Yuan Gao; Keyu Liu; Jingjing Song; Xiang-Jian Chen; Xibei Yang (ICMLC, 2018)

Multi-granularity Attribute Reduction. - Shaochen Liang; Keyu Liu; Xiangjian Chen; Pingxin Wang; Xibei Yang (IJCSR, 2018)

NDER Attribute Reduction via an Ensemble Approach. - Huixiang Wen; Appiahmantey Eric; Xiangjian Chen; Keyu Liu; Pingxin Wang (IJCSR, 2018)

Neighborhood Classifier for Label Noise. - Xiansheng Rao; Jingjing Song; Xibei Yang; Keyu Liu; Pingxin Wang (ICMLC, 2019)

Similarity Aware Safety Multimedia Data Transmission Mechanism for Internet of Vehicles. - Dapeng Wu 002; Lingli Deng; Honggang Wang 001; Keyu Liu; Ruyan Wang (Future Gener. Comput. Syst., 2019)

An efficient selector for multi-granularity attribute reduction. - Keyu Liu; Xibei Yang; Hamido Fujita; Dun Liu; Xin Yang 012; Yuhua Qian (Inf. Sci., 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)

Accelerator for supervised neighborhood based attribute reduction. - Zehua Jiang; Keyu Liu; Xibei Yang; Hualong Yu; Hamido Fujita; Yuhua Qian (Int. J. Approx. Reason., 2020)

Attribute group for attribute reduction. - Yan Chen; Keyu Liu; Jingjing Song; Hamido Fujita; Xibei Yang; Yuhua Qian (Inf. Sci., 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)

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)

Accelerator for crosswise computing reduct. - Zehua Jiang; Keyu Liu; Jingjing Song; Xibei Yang; Jinhai Li; Yuhua Qian (Appl. Soft Comput., 2021)

Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations. - Xin Yang 012; Dun Liu; Xibei Yang; Keyu Liu; Tianrui Li 001 (Inf. Sci., 2021)

Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction. - Zhong Yuan; Hongmei Chen 001; Xiaoling Yang; Tianrui Li 001; Keyu Liu (Knowl. Based Syst., 2021)

ROSES: A Novel Semi-supervised Feature Selector. - Xiaoyu Zhang; Keyu Liu; Jing Ba; Xin Yang 012; Xibei Yang (IIP, 2022)

Instance-Guided Multi-modal Fake News Detection with Dynamic Intra- and Inter-modality Fusion. - Jie Wang 152; Yan Yang 001; Keyu Liu; Peng Xie 002; Xiaorong Liu (PAKDD (1), 2022)

Neighborhood rough set based ensemble feature selection with cross-class sample granulation. - Keyu Liu; Tianrui Li 001; Xibei Yang; Xin Yang 012; Dun Liu (Appl. Soft Comput., 2022)

Random sampling accelerator for attribute reduction. - Zhen Chen; Keyu Liu; Xibei Yang; Hamido Fujita (Int. J. Approx. Reason., 2022)

Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization. - Keyu Liu; Tianrui Li 001; Xibei Yang; Hengrong Ju; Xin Yang 012; Dun Liu (Int. J. Approx. Reason., 2022)

Feature selection for label distribution learning using dual-similarity based neighborhood fuzzy entropy. - Zhixuan Deng; Tianrui Li 001; Dayong Deng; Keyu Liu; Pengfei Zhang 016; Shiming Zhang; Zhipeng Luo (Inf. Sci., 2022)

Granular cabin: An efficient solution to neighborhood learning in big data. - Keyu Liu; Tianrui Li 001; Xibei Yang; Xin Yang 012; Dun Liu; Pengfei Zhang 016; Jie Wang 152 (Inf. Sci., 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)

An Efficient and Intelligent Detection Method for Fabric Defects based on Improved YOLOv5. - Guijuan Lin; Keyu Liu; Xuke Xia; Ruopeng Yan (Sensors, 2023)

M3S: Scene Graph Driven Multi-Granularity Multi-Task Learning for Multi-Modal NER. - Jie Wang 152; Yan Yang 001; Keyu Liu; Zhiping Zhu; Xiaorong Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

A Q-learning approach to attribute reduction. - Yuxin Liu; Zhice Gong; Keyu Liu; Suping Xu; Hengrong Ju; Xibei Yang (Appl. Intell., 2023)

Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection. - Tengyu Yin; Hongmei Chen 001; Zhong Yuan; Tianrui Li 001; Keyu Liu (Inf. Sci., 2023)

Multi-label learning with Relief-based label-specific feature selection. - Jiadong Zhang; Keyu Liu; Xibei Yang; Hengrong Ju; Suping Xu (Appl. Intell., 2023)

Gift: granularity over specific-class for feature selection. - Jing Ba; Keyu Liu; Xibei Yang; Yuhua Qian (Artif. Intell. Rev., 2023)

Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity. - Keyu Liu; Tianrui Li 001; Xibei Yang; Hengrong Ju; Xin Yang 012; Dun Liu (Appl. Soft Comput., 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., 2023)

SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy. - Keyu Liu; Tianrui Li 001; Xibei Yang; Hongmei Chen 001; Jie Wang 152; Zhixuan Deng (IEEE Trans. Fuzzy Syst., 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., 2023)

A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction. - Tengyu Yin; Hongmei Chen 001; Zhong Yuan; Jihong Wan; Keyu Liu; Shi-Jinn Horng; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2023)

Graph Neural Networks with Direct Reach to Labeled Nodes. - Qing Teng; Qihang Guo; Xibei Yang; Keyu Liu; Tianrui Li 001 (IJCRS (3), 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)

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)

CiteNet: Cross-modal incongruity perception network for multimodal sentiment prediction. - Jie Wang 152; Yan Yang 001; Keyu Liu; Zhuyang Xie; Fan Zhang 108; Tianrui Li 001 (Knowl. Based Syst., 2024)

Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures. - Tengyu Yin; Hongmei Chen 001; Zhihong Wang; Keyu Liu; Zhong Yuan; Shi-Jinn Horng; Tianrui Li 001 (Pattern Recognit., 2024)

Feature selection based on probability and mathematical expectation. - Zhixuan Deng; Tianrui Li 001; Keyu Liu; Pengfei Zhang 016; Dayong Deng (Int. J. Mach. Learn. Cybern., 2024)

Heterogeneous Feature Selection Based on Neighborhood Combination Entropy. - Pengfei Zhang 016; Tianrui Li 001; Zhong Yuan; Chuan Luo 001; Keyu Liu; Xiaoling Yang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Feature Selection for Handling Label Ambiguity Using Weighted Label-Fuzzy Relevancy and Redundancy. - Zhixuan Deng; Tianrui Li 001; Dayong Deng; Keyu Liu; Zhipeng Luo; Pengfei Zhang 016 (IEEE Trans. Fuzzy Syst., 2024)

BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration. - Hengrong Ju; Tingting Shan; Weiping Ding 001; Keyu Liu; Muhammad Jabir Khan; Jiashuang Huang; Xibei Yang (IEEE Trans. Fuzzy Syst., 2024)

Multi-head multi-order graph attention networks. - Jie Ben; Qiguo Sun; Keyu Liu; Xibei Yang; Fengjun Zhang (Appl. Intell., 2024)

Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy. - Damo Qian; Keyu Liu; Shiming Zhang; Xibei Yang (Appl. Intell., 2024)

DNSRF: Deep Network-based Semi-NMF Representation Framework. - Dexian Wang 001; Tianrui Li 001; Ping Deng 002; Zhipeng Luo; Pengfei Zhang 016; Keyu Liu; Wei Huang 037 (ACM Trans. Intell. Syst. Technol., 2024)

Dynamic Feature Selection Based on F-fuzzy Rough Set for Label Distribution Learning. - Dayong Deng; Tong Chen; Zhixuan Deng; Keyu Liu; Pengfei Zhang 016 (Int. J. Fuzzy Syst., 2024)

Feature selection for label distribution learning based on neighborhood fuzzy rough sets. - Zhixuan Deng; Tianrui Li 001; Pengfei Zhang 016; Keyu Liu; Zhong Yuan; Dayong Deng (Appl. Soft Comput., 2025)

A multi-hop Shapley-based framework for graph convolutional network node classification explanation. - Yifan Zheng; Xibei Yang; Qiguo Sun; Keyu Liu; Qihang Guo (Appl. Soft Comput., 2025)

UMGCN: Updating multi-graph for graph convolutional networks. - Guoquan Zhu; Keyu Liu; Xibei Yang; Qihang Guo (Comput. Electr. Eng., 2025)

Feature-topology cascade perturbation for graph neural network. - Hui Cong; Xibei Yang; Keyu Liu; Qihang Guo (Eng. Appl. Artif. Intell., 2025)

Selection and Impact of Anti-Predation Strategies in a Predator-Prey Model with Prey Refuge and Group Defense. - Wensheng Yang 001; Keyu Liu; Xiaohui Chen (Int. J. Bifurc. Chaos, 2025)

Attribute reduction based on directional semi-neighborhood rough set. - Damo Qian; Keyu Liu; Jie Wang; Shiming Zhang; Xibei Yang (Int. J. Mach. Learn. Cybern., 2025)

Margin-aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification. - Suping Xu; Lin Shang 001; Keyu Liu; Hengrong Ju; Xibei Yang; Witold Pedrycz (CoRR, 2025)

Rough set interpretation to RBF neural network. - Dayong Deng; Jie Wang; Zhixuan Deng; Keyu Liu; Pengfei Zhang (Int. J. Mach. Learn. Cybern., 2025)

Star: semi-supervised tripartite attribute reduction. - Keyu Liu; Damo Qian; Tianrui Li 001; Xibei Yang; Tengyu Yin; Xin Yang 012; Dun Liu (Int. J. Mach. Learn. Cybern., 2025)

Ecological dynamics of a delayed predator-prey model with prey refuge and nonlinear harvesting. - Keyu Liu; Wensheng Yang 001 (Comput. Appl. Math., 2025)