Xibei Yang

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 128

Top Venues

Knowl. Based Syst.

Int. J. Mach. Learn. Cybern.

Inf. Sci.

Appl. Soft Comput.

Publications

Jin Qian, Di Wang, Ying Yu, Xibei Yang, Shang Gao
E3WD: A three-way decision model based on ensemble learning. Inf. Sci. 667 (2024)
Hengrong Ju, Yang Lu, Weiping Ding, Jinxin Cao, Xibei Yang
Three-way evidence theory-based density peak clustering with the principle of justifiable granularity. Appl. Soft Comput. 152 (2024)
Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang
BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration. IEEE Trans. Fuzzy Syst. 32 (8) (2024)
Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Witold Pedrycz, Xibei Yang
Multi-association evidential feature selection and its application to identifying schizophrenia. Inf. Sci. 674 (2024)
Jicong Duan, Xibei Yang, Shang Gao, Hualong Yu
A partition-based problem transformation algorithm for classifying imbalanced multi-label data. Eng. Appl. Artif. Intell. 128 (2024)
Hengrong Ju, Tao Yin, Jiashuang Huang, Weiping Ding, Xibei Yang
Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Jie Ben, Qiguo Sun, Keyu Liu, Xibei Yang, Fengjun Zhang
Multi-head multi-order graph attention networks. Appl. Intell. 54 (17-18) (2024)
Qiguo Sun, Xueying Wei, Xibei Yang
GraphSAGE with deep reinforcement learning for financial portfolio optimization. Expert Syst. Appl. 238 (Part C) (2024)
Qihang Guo, Keyu Liu, Taihua Xu, Pingxin Wang, Xibei Yang
Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction. Expert Syst. Appl. 255 (2024)
Qihang Guo, Xibei Yang, Fengjun Zhang, Taihua Xu
Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks. Eng. Appl. Artif. Intell. 129 (2024)
Pingxin Wang, Xibei Yang, Weiping Ding, Jianming Zhan, Yiyu Yao
Three-way clustering: Foundations, survey and challenges. Appl. Soft Comput. 151 (2024)
Xiaoxiao Wang, Xibei Yang, Pingxin Wang, Hualong Yu, Taihua Xu
SSGCN: a sampling sequential guided graph convolutional network. Int. J. Mach. Learn. Cybern. 15 (5) (2024)
Hui Cong, Qiguo Sun, Xibei Yang, Keyu Liu, Yuhua Qian
Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training. Inf. Sci. 676 (2024)
Jicong Duan, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao
ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data. Expert Syst. Appl. 236 (2024)
Damo Qian, Keyu Liu, Shiming Zhang, Xibei Yang
Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy. Appl. Intell. 54 (17-18) (2024)
Jianjun Chen, Junning Zhu, Zhuang Li, Xibei Yang
YOLOv7-WFD: A Novel Convolutional Neural Network Model for Helmet Detection in High-Risk Workplaces. IEEE Access 11 (2023)
Shanlin Zhou, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao
RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning. J. King Saud Univ. Comput. Inf. Sci. 35 (4) (2023)
Ying Zhang, Fang Ge, Fuyi Li, Xibei Yang, Jiangning Song, Dong-Jun Yu
Prediction of Multiple Types of RNA Modifications via Biological Language Model. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Shuaishuai Zhang, Keyu Liu, Taihua Xu, Xibei Yang, Ao Zhang
A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation. Appl. Intell. 53 (24) (2023)
Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu
Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity. Appl. Soft Comput. 146 (2023)
Yan Gu, Hualong Yu, Xibei Yang, Shang Gao
Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously. Neural Process. Lett. 55 (4) (2023)
Jing Ba, Pingxin Wang, Xibei Yang, Hualong Yu, Dongjun Yu
Glee: A granularity filter for feature selection. Eng. Appl. Artif. Intell. 122 (2023)
Jiaqi Sun, Pingxin Wang, Hualong Yu, Xibei Yang
A constraint score guided meta-heuristic searching to attribute reduction. J. Intell. Fuzzy Syst. 44 (3) (2023)
Yan Gu, Jicong Duan, Hualong Yu, Xibei Yang, Shang Gao
PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity. Appl. Intell. 53 (22) (2023)
Jing Ba, Keyu Liu, Xibei Yang, Yuhua Qian
Gift: granularity over specific-class for feature selection. Artif. Intell. Rev. 56 (10) (2023)
Zhenyu Yin, Xibei Yang, Pingxin Wang, Hualong Yu, Yuhua Qian
Ensemble selector mixed with pareto optimality to feature reduction. Appl. Soft Comput. 148 (2023)
Yuxin Liu, Zhice Gong, Keyu Liu, Suping Xu, Hengrong Ju, Xibei Yang
A Q-learning approach to attribute reduction. Appl. Intell. 53 (4) (2023)
Hengrong Ju, Weiping Ding, Xibei Yang, Pingping Gu
Bi-directional adaptive neighborhood rough sets based attribute subset selection. Int. J. Approx. Reason. 160 (2023)
Jiadong Zhang, Keyu Liu, Xibei Yang, Hengrong Ju, Suping Xu
Multi-label learning with Relief-based label-specific feature selection. Appl. Intell. 53 (15) (2023)
Chengzhi Shi, Taihua Xu, Fuhao Cheng, Xibei Yang, Jianjun Chen
An Acceleration Method for Attribute Reduction Based on Attribute Synthesis. IJCRS (2023)
Keyu Liu, Tianrui Li, Xibei Yang, Hongmei Chen, Jie Wang, Zhixuan Deng
SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy. IEEE Trans. Fuzzy Syst. 31 (10) (2023)
Baoquan Feng, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao
DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift Steam. IEEE Access 10 (2022)
Xin Shu, Feng Chang, Xin Zhang, Changbin Shao, Xibei Yang
ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation. Biomed. Signal Process. Control. 75 (2022)
Jin Qian, DaWei Tang, Ying Yu, Xibei Yang, Shang Gao
Hierarchical sequential three-way decision model. Int. J. Approx. Reason. 140 (2022)
Aimin Zhang, Hualong Yu, Shanlin Zhou, Zhangjun Huan, Xibei Yang
Instance weighted SMOTE by indirectly exploring the data distribution. Knowl. Based Syst. 249 (2022)
Jing Ba, Keyu Liu, Hengrong Ju, Suping Xu, Taihua Xu, Xibei Yang
Triple-G: a new MGRS and attribute reduction. Int. J. Mach. Learn. Cybern. 13 (2) (2022)
Zhice Gong, Yuxin Liu, Taihua Xu, Pingxin Wang, Xibei Yang
Unsupervised attribute reduction: improving effectiveness and efficiency. Int. J. Mach. Learn. Cybern. 13 (11) (2022)
Yining Chen, Pingxin Wang, Xibei Yang, Hualong Yu
Bee: towards a robust attribute reduction. Int. J. Mach. Learn. Cybern. 13 (12) (2022)
Guan-Yu Zhu, Yan Liu, Peng-Hao Wang, Xibei Yang, Dong-Jun Yu
Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning. J. Chem. Inf. Model. 62 (17) (2022)
Xiaoyu Zhang, Keyu Liu, Jing Ba, Xin Yang, Xibei Yang
ROSES: A Novel Semi-supervised Feature Selector. Intelligent Information Processing (2022)
Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu, Pengfei Zhang, Jie Wang
Granular cabin: An efficient solution to neighborhood learning in big data. Inf. Sci. 583 (2022)
Zhen Chen, Keyu Liu, Xibei Yang, Hamido Fujita
Random sampling accelerator for attribute reduction. Int. J. Approx. Reason. 140 (2022)
Hengrong Ju, Weiping Ding, Zhen-Quan Shi, Jiashuang Huang, Jie Yang, Xibei Yang
Attribute reduction with personalized information granularity of nearest mutual neighbors. Inf. Sci. 613 (2022)
Jin Wang, Yuxin Liu, Jianjun Chen, Xibei Yang
An Ensemble Framework to Forest Optimization Based Reduct Searching. Symmetry 14 (6) (2022)
Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu
Neighborhood rough set based ensemble feature selection with cross-class sample granulation. Appl. Soft Comput. 131 (2022)
Yan Chen, Xibei Yang, Jinhai Li, Pingxin Wang, Yuhua Qian
Fusing attribute reduction accelerators. Inf. Sci. 587 (2022)
Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu
Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization. Int. J. Approx. Reason. 148 (2022)
Jiachen Fan, Pingxin Wang, Chunmao Jiang, Xibei Yang, Jingjing Song
Ensemble learning using three-way density-sensitive spectral clustering. Int. J. Approx. Reason. 149 (2022)
Aimin Zhang, Hualong Yu, Zhangjun Huan, Xibei Yang, Shang Zheng, Shang Gao
nearest neighbors. Inf. Sci. 595 (2022)
Yan Chen, Pingxin Wang, Xibei Yang, Jusheng Mi, Dun Liu
Granular ball guided selector for attribute reduction. Knowl. Based Syst. 229 (2021)
Pingxin Wang, Xibei Yang
Three-Way Clustering Method Based on Stability Theory. IEEE Access 9 (2021)
Xin Yang, Dun Liu, Xibei Yang, Keyu Liu, Tianrui Li
Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations. Inf. Sci. 550 (2021)
Hengrong Ju, Weiping Ding, Xibei Yang, Hamido Fujita, Suping Xu
Robust supervised rough granular description model with the principle of justifiable granularity. Appl. Soft Comput. 110 (2021)
Wangwang Yan, Yan Chen, Jinlong Shi, Hualong Yu, Xibei Yang
Ensemble and Quick Strategy for Searching Reduct: A Hybrid Mechanism. Inf. 12 (1) (2021)
Wenlu Dong, Shang Gao, Xibei Yang, Hualong Yu
An Exploration of Online Missing Value Imputation in Non-stationary Data Stream. SN Comput. Sci. 2 (1) (2021)
Xun Wang, Pingxin Wang, Xibei Yang, Yiyu Yao
Attribution reduction based on sequential three-way search of granularity. Int. J. Mach. Learn. Cybern. 12 (5) (2021)
Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li, Yuhua Qian
Accelerator for crosswise computing reduct. Appl. Soft Comput. 98 (2021)
Tao Yin, Xiaojuan Mao, Xingtan Wu, Hengrong Ju, Weiping Ding, Xibei Yang
An improved D-S evidence theory based neighborhood rough classification approach. J. Intell. Fuzzy Syst. 41 (6) (2021)
Zehua Jiang, Huili Dou, Jingjing Song, Pingxin Wang, Xibei Yang, Yuhua Qian
Data-guided multi-granularity selector for attribute reduction. Appl. Intell. 51 (2) (2021)
Hualong Yu, Houjuan Xie, Xibei Yang, Haitao Zou, Shang Gao
Online sequential extreme learning machine with the increased classes. Comput. Electr. Eng. 90 (2021)
Xiansheng Rao, Xibei Yang, Xin Yang, Xiangjian Chen, Dun Liu, Yuhua Qian
Quickly calculating reduct: An attribute relationship based approach. Knowl. Based Syst. 200 (2020)
Suping Xu, Hengrong Ju, Lin Shang, Witold Pedrycz, Xibei Yang, Chun Li
Label distribution learning: A local collaborative mechanism. Int. J. Approx. Reason. 121 (2020)
Xiangjian Chen, Di Li, Pingxin Wang, Xibei Yang
A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER. IEEE Access 8 (2020)
Yan Chen, Keyu Liu, Jingjing Song, Hamido Fujita, Xibei Yang, Yuhua Qian
Attribute group for attribute reduction. Inf. Sci. 535 (2020)
Xiansheng Rao, Keyu Liu, Jingjing Song, Xibei Yang, Yuhua Qian
Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach. J. Intell. Fuzzy Syst. 39 (1) (2020)
Ke Cheng, Shang Gao, Wenlu Dong, Xibei Yang, Qi Wang, Hualong Yu
Boosting label weighted extreme learning machine for classifying multi-label imbalanced data. Neurocomputing 403 (2020)
Zehua Jiang, Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Yuhua Qian
Accelerator for supervised neighborhood based attribute reduction. Int. J. Approx. Reason. 119 (2020)
Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Xiangjian Chen, Dun Liu
Supervised information granulation strategy for attribute reduction. Int. J. Mach. Learn. Cybern. 11 (9) (2020)
Xiaojing Luo, Jingjing Song, Huili Dou, Xibei Yang, Taihua Xu
Hierarchies and Uncertainty Measures on Pythagorean Fuzzy Approximation Spaces. FSDM (2020)
Shang Gao, Wenlu Dong, Ke Cheng, Xibei Yang, Shang Zheng, Hualong Yu
Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data. Neural Process. Lett. 52 (3) (2020)
Eric C. C. Tsang, Jingjing Song, Degang Chen, Xibei Yang
Order based hierarchies on hesitant fuzzy approximation space. Int. J. Mach. Learn. Cybern. 10 (6) (2019)
Zehua Jiang, Xibei Yang, Hualong Yu, Dun Liu, Pingxin Wang, Yuhua Qian
Accelerator for multi-granularity attribute reduction. Knowl. Based Syst. 177 (2019)
Ke Cheng, Chen Zhang, Hualong Yu, Xibei Yang, Haitao Zou, Shang Gao
Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data. IEEE Access 7 (2019)
Chao Ma, Xu Zhai, Zhaopei Wang, Mingguang Tian, Qiusheng Yu, Lei Liu, Hao Liu, Hao Wang, Xibei Yang
State of health prediction for lithium-ion batteries using multiple-view feature fusion and support vector regression ensemble. Int. J. Mach. Learn. Cybern. 10 (9) (2019)
Pingxin Wang, Hong Shi, Xibei Yang, Jusheng Mi
Three-way k-means: integrating k-means and three-way decision. Int. J. Mach. Learn. Cybern. 10 (10) (2019)
Keyu Liu, Xibei Yang, Hamido Fujita, Dun Liu, Xin Yang, Yuhua Qian
An efficient selector for multi-granularity attribute reduction. Inf. Sci. 505 (2019)
Shuzhe Bao, Xiaoning Song, Guosheng Hu, Xibei Yang, Chunli Wang
Colour face recognition using fuzzy quaternion-based discriminant analysis. Int. J. Mach. Learn. Cybern. 10 (2) (2019)
Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang, Jusheng Mi
Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View. Complex. 2019 (2019)
Zehua Jiang, Yibo Wang, Gang Xu, Xibei Yang, Pingxin Wang
面向多尺度的属性约简加速器 (Multi-scale Based Accelerator for Attribute Reduction). 计算机科学 46 (12) (2019)
Xibei Yang, Shaochen Liang, Hualong Yu, Shang Gao, Yuhua Qian
Pseudo-label neighborhood rough set: Measures and attribute reductions. Int. J. Approx. Reason. 105 (2019)
Keyu Liu, Xibei Yang, Hualong Yu, Jusheng Mi, Pingxin Wang, Xiangjian Chen
Rough set based semi-supervised feature selection via ensemble selector. Knowl. Based Syst. 165 (2019)
Hualong Yu, Xibei Yang, Shang Zheng, Changyin Sun
Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Xiangjian Chen, Di Li, Xun Wang, Xibei Yang, Hongmei Li
Rough intuitionistic type-2 fuzzy c-means clustering algorithm for MR image segmentation. IET Image Process. 13 (4) (2019)
Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, Xibei Yang, Xianzhong Zhou
Sequential three-way classifier with justifiable granularity. Knowl. Based Syst. 163 (2019)
Hualong Yu, Changyin Sun, Xibei Yang, Shang Zheng, Haitao Zou
Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data. IEEE Trans. Fuzzy Syst. 27 (12) (2019)
Hualong Yu, Dan Sun, Xiaoyan Xi, Xibei Yang, Shang Zheng, Qi Wang
Fuzzy One-Class Extreme Auto-encoder. Neural Process. Lett. 50 (1) (2019)
Xiansheng Rao, Jingjing Song, Xibei Yang, Keyu Liu, Pingxin Wang
Neighborhood Classifier for Label Noise. ICMLC (2019)
Jingzheng Li, Xibei Yang, Xiaoning Song, Jinhai Li, Pingxin Wang, Dong-Jun Yu
Neighborhood attribute reduction: a multi-criterion approach. Int. J. Mach. Learn. Cybern. 10 (4) (2019)
Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang
Neighborhood Attribute Reduction: A Multicriterion Strategy Based on Sample Selection. Inf. 9 (11) (2018)
Linna Wang, Xin Yang, Xibei Yang
监督邻域粗糙集 (Supervised Neighborhood Rough Set). 计算机科学 45 (8) (2018)
Xibei Yang, Yiyu Yao
Ensemble selector for attribute reduction. Appl. Soft Comput. 70 (2018)
Hualong Yu, Changyin Sun, Xibei Yang, Shang Zheng, Qi Wang, Xiaoyan Xi
LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data. IEEE Access 6 (2018)
Pingxin Wang, Qiang Liu, Xibei Yang, Jusheng Mi
基于动态邻域的三支聚类分析 (Three-way Clustering Analysis Based on Dynamic Neighborhood). 计算机科学 45 (1) (2018)
Yuan Gao, Keyu Liu, Jingjing Song, Xiang-Jian Chen, Xibei Yang
Distance Based On Neighborhood Classifier and Attribute Reduction. ICMLC (2018)
Shaochen Liang, Keyu Liu, Xiangjian Chen, Pingxin Wang, Xibei Yang
Multi-granularity Attribute Reduction. IJCSR (2018)
Xiaoning Song, Xibei Yang, Chang-Bin Shao, Jingyu Yang
Parity symmetrical collaborative representation-based classification for face recognition. Int. J. Mach. Learn. Cybern. 8 (5) (2017)
Xiaoning Song, Chang-Bin Shao, Xibei Yang, Xiaojun Wu
Sparse representation-based classification using generalized weighted extended dictionary. Soft Comput. 21 (15) (2017)
Xibei Yang, Suping Xu, Huili Dou, Xiaoning Song, Hualong Yu, Jingyu Yang
Multigranulation rough set: A multiset based strategy. Int. J. Comput. Intell. Syst. 10 (1) (2017)
Pingxin Wang, Xibei Yang, Yiyu Yao
C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy. ISMIS (2017)
Hengrong Ju, Huaxiong Li, Xibei Yang, Xianzhong Zhou, Bing Huang
Cost-sensitive rough set: A multi-granulation approach. Knowl. Based Syst. 123 (2017)

Xibei Yang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xibei Yang