Xibei Yang - RankMe

237 papers B 2C 2Misc 14Journal 195Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Rough Feature Selection: Recent Advances and Challenges. IEEE CAA J. Autom. Sinica Keyu Liu, Xibei Yang, Weiping Ding, Hengrong Ju, Tianrui Li, Jie Wang, Tengyu Yin
2026	J	`jnl`	Capturing local and global information: Multi-view graph convolutional network via granular-ball computing and collaborative matrix. Expert Syst. Appl. Weijun Wang, Xibei Yang, Qinghua Zhang, Shuyin Xia, Jie Yang, Taihua Xu
2026	J	`jnl`	Distributed fuzzy attribute reduction for partially labeled big data. Appl. Soft Comput. Tingting Shan, Hengrong Ju, Lijiao Qiao, Weiping Ding, Keyu Liu, Jiashuang Huang, Xibei Yang
2026	J	`jnl`	Distributed multi-label feature selection via feature-label information granulation. Inf. Sci. Hengrong Ju, Xipei Tao, Weiping Ding, Zhongya Lu, Suping Xu, Lijiao Qiao, Xibei Yang
2026	J	`jnl`	Fully & partially-transmitted-rule fusion: A novel hierarchical fuzzy classification with application to nasopharyngeal cancer's metastasis prediction. Fuzzy Sets Syst. Ta Zhou, Yuanqing Yang, Wei Yan, Weiqin Liu, Xibei Yang, Weiping Ding, Jing Cai, Shitong Wang
2026	J	`jnl`	Gcc: Granular cabin-embedded accelerator for neighborhood-based clustering. Int. J. Mach. Learn. Cybern. Yang Lu, Keyu Liu, Weiping Ding, Hengrong Ju, Tingting Shan, Xiaoxue Fan, Xibei Yang
2026	J	`jnl`	Hierarchical decoupling from global-to-structural dependency for unsupervised graph representation learning on noisy graphs. Knowl. Based Syst. Qihang Guo, Keyu Liu, Wenrui Guan, Xibei Yang, Qiguo Sun, Ting Huang
2026	J	`jnl`	Hyper-network curvature: A new representation method for high-order brain network analysis. Pattern Recognit. Kai Ma, Tianyu Du, Qi Zhu, Xuyun Wen, Jiashuang Huang, Xibei Yang, Daoqiang Zhang
2026	J	`jnl`	Inconsistency-Aware Graph Convolutional Networks for Multi-View Classification. IEEE Trans. Emerg. Top. Comput. Intell. Qing Teng, Keyu Liu, Xibei Yang, Ming Li
2026	J	`jnl`	Margin-Aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification. IEEE Trans. Fuzzy Syst. Suping Xu, Lin Shang, Keyu Liu, Hengrong Ju, Xibei Yang, Witold Pedrycz
2026	J	`jnl`	Sliced Wasserstein graph kernel for measuring global topological similarity of brain functional networks. Pattern Recognit. Kai Ma, Qi Zhu, Xuyun Wen, Xibei Yang, Daoqiang Zhang
2026	J	`jnl`	Topology matters: achieving fairness in graph neural networks through heterophily propagation. Sci. China Inf. Sci. Yuge Wang, Xibei Yang, Keyu Liu, Qiguo Sun, Weiping Ding, Yuhua Qian
2026	J	`jnl`	VQIT-GNN: A collaborative knowledge transfer for node-level structure imbalance. Pattern Recognit. Wenrui Guan, Xibei Yang, Ming Li, Qihang Guo, Keyu Liu, Qiguo Sun
2025	J	`jnl`	A multi-hop Shapley-based framework for graph convolutional network node classification explanation. Appl. Soft Comput. Yifan Zheng, Xibei Yang, Qiguo Sun, Keyu Liu, Qihang Guo
2025	J	`jnl`	A new ranking aggregation model Based on S3WD and PSO for hybrid multi-criteria decision making. Appl. Soft Comput. Jin Qian, Di Wang, Ying Yu, Xibei Yang, Shang Gao
2025	J	`jnl`	Attribute reduction based on directional semi-neighborhood rough set. Int. J. Mach. Learn. Cybern. Damo Qian, Keyu Liu, Jie Wang, Shiming Zhang, Xibei Yang
2025	J	`jnl`	CCMCS-Net: Integrating Color Correction and Multicolor-Space Stretching for Improving Underwater Image Quality. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jianjun Chen, Yujie Yang, Jingjing Song, Xibei Yang, Jinlong Shi
2025	J	`jnl`	Class-specific semi-supervised feature selection with fuzzy convex balling information granularity. Inf. Sci. Hengrong Ju, Jiarong Li, Weiping Ding, Xiaoxue Fan, Jiashuang Huang, Suping Xu, Xibei Yang
2025	J	`jnl`	Collaborative graph neural networks for augmented graphs: A local-to-global perspective. Pattern Recognit. Qihang Guo, Xibei Yang, Ming Li, Yuhua Qian
2025	J	`jnl`	Cross-Graph Interaction Networks. IEEE Trans. Knowl. Data Eng. Qihang Guo, Xibei Yang, Weiping Ding, Yuhua Qian
2025	J	`jnl`	D3WC: Deep three-way clustering with granular evidence fusion. Inf. Fusion Hengrong Ju, Jing Guo, Weiping Ding, Xibei Yang
2025	B	`conf`	DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks. IJCNN Xiang Wang, Hui Xu, Jing Cai, Ta Zhou, Xibei Yang, Wei Xue
2025	J	`jnl`	Efficient parallel algorithm for finding strongly connected components based on granulation strategy. Knowl. Inf. Syst. Taihua Xu, Huixing He, Xibei Yang, Jie Yang, Jingjing Song, Yun Cui
2025	J	`jnl`	FDGC: Fuzzy deep clustering with dual-granularity contrastive learning. Knowl. Based Syst. Hengrong Ju, Jing Guo, Weiping Ding, Witold Pedrycz, Xiaotian Cheng, Xibei Yang
2025	J	`jnl`	Feature-topology cascade perturbation for graph neural network. Eng. Appl. Artif. Intell. Hui Cong, Xibei Yang, Keyu Liu, Qihang Guo
2025	J	`jnl`	ISSMLCF: an inductive semi-supervised multi-label learning algorithm with co-forest paradigm. Appl. Intell. Wenhao Liu, Jicong Duan, Changbin Shao, Xibei Yang, Sen Xu, Hualong Yu
2025	J	`jnl`	Incomplete label distribution learning via label correlation decomposition. Inf. Fusion Suping Xu, Lin Shang, Furao Shen, Xibei Yang, Witold Pedrycz
2025	J	`jnl`	Less for Better: A View Filter-Driven Graph Representation Fusion Network. Entropy Yue Wang, Xibei Yang, Keyu Liu, Qihang Guo, Xun Wang
2025	J	`jnl`	Local differential privacy protection for trajectory data based on three-way decisions. Appl. Intell. Jin Qian, Guangjin Yang, Ying Yu, Xibei Yang, Shang Gao
2025	J	`jnl`	Margin-aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification. CoRR Suping Xu, Lin Shang, Keyu Liu, Hengrong Ju, Xibei Yang, Witold Pedrycz
2025	J	`jnl`	Multi-Label Learning with Distribution Matching Ensemble: An Adaptive and Just-In-Time Weighted Ensemble Learning Algorithm for Classifying a Nonstationary Online Multi-Label Data Stream. Symmetry Chao Shen, Bingyu Liu, Changbin Shao, Xibei Yang, Sen Xu, Changming Zhu, Hualong Yu
2025	J	`jnl`	Multi-label learning based on neighborhood rough set label-specific features. Int. J. Approx. Reason. Jiadong Zhang, Jingjing Song, Huige Li, Xun Wang, Xibei Yang
2025	J	`jnl`	Multi-view collaborative learning for graph attribute imputation. Int. J. Mach. Learn. Cybern. Yingxing Yu, Huige Li, Xibei Yang, Yong Zhang, Jingjing Song
2025	J	`jnl`	Multigranularity Information Fused Contrastive Learning With Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Hengrong Ju, Yang Lu, Weiping Ding, Wei Zhang, Xibei Yang
2025	J	`jnl`	OMAL: A Multi-Label Active Learning Approach from Data Streams. Entropy Qiao Fang, Chen Xiang, Jicong Duan, Benallal Soufiyan, Changbin Shao, Xibei Yang, Sen Xu, Hualong Yu
2025	J	`jnl`	Rethinking Label-specific Features for Label Distribution Learning. CoRR Suping Xu, Chuyi Dai, Lin Shang, Changbin Shao, Xibei Yang, Witold Pedrycz
2025	J	`jnl`	Robust graph mutual-assistance convolutional networks for semi-supervised node classification tasks. Inf. Sci. Qihang Guo, Xibei Yang, Wenrui Guan, Kai Ma, Yuhua Qian
2025	J	`jnl`	S CoRR Suping Xu, Chuyi Dai, Ye Liu, Lin Shang, Xibei Yang, Witold Pedrycz
2025	J	`jnl`	Star: semi-supervised tripartite attribute reduction. Int. J. Mach. Learn. Cybern. Keyu Liu, Damo Qian, Tianrui Li, Xibei Yang, Tengyu Yin, Xin Yang, Dun Liu
2025	J	`jnl`	Stochastic jump diffusion process informed neural networks for accurate American option pricing under data scarcity. Appl. Soft Comput. Qiguo Sun, Hanyue Huang, Xibei Yang, Yuwei Zhang
2025	J	`jnl`	UMGCN: Updating multi-graph for graph convolutional networks. Comput. Electr. Eng. Guoquan Zhu, Keyu Liu, Xibei Yang, Qihang Guo
2024	J	`jnl`	A partition-based problem transformation algorithm for classifying imbalanced multi-label data. Eng. Appl. Artif. Intell. Jicong Duan, Xibei Yang, Shang Gao, Hualong Yu
2024	J	`jnl`	BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration. IEEE Trans. Fuzzy Syst. Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang
2024	J	`jnl`	Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities. IEEE Trans. Fuzzy Syst. Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Suping Xu, Xibei Yang, Witold Pedrycz
2024	J	`jnl`	E3WD: A three-way decision model based on ensemble learning. Inf. Sci. Jin Qian, Di Wang, Ying Yu, Xibei Yang, Shang Gao
2024	J	`jnl`	ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data. Expert Syst. Appl. Jicong Duan, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao
2024	J	`jnl`	Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training. Inf. Sci. Hui Cong, Qiguo Sun, Xibei Yang, Keyu Liu, Yuhua Qian
2024	J	`jnl`	Finding single-source shortest paths from unweighted directed graphs combining rough sets theory and marking strategy. J. Appl. Math. Comput. Taihua Xu, Mingfeng Hua, Xibei Yang, Yun Cui, Fei Wang, Shuai Li
2024	J	`jnl`	Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction. Expert Syst. Appl. Qihang Guo, Keyu Liu, Taihua Xu, Pingxin Wang, Xibei Yang
2024	J	`jnl`	GPTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in G Protein-Coupled Receptors. J. Chem. Inf. Model. Xiaohua Wang, Ming Zhang, Xibei Yang, Dong-Jun Yu, Fang Ge
2024	—	`conf`	Graph Neural Networks with Direct Reach to Labeled Nodes. IJCRS (3) Qing Teng, Qihang Guo, Xibei Yang, Keyu Liu, Tianrui Li
2024	J	`jnl`	GraphSAGE with deep reinforcement learning for financial portfolio optimization. Expert Syst. Appl. Qiguo Sun, Xueying Wei, Xibei Yang
2024	J	`jnl`	Jump Diffusion-Informed Neural Networks with Transfer Learning for Accurate American Option Pricing under Data Scarcity. CoRR Qiguo Sun, Hanyue Huang, Xibei Yang, Yuwei Zhang
2024	J	`jnl`	Multi-association evidential feature selection and its application to identifying schizophrenia. Inf. Sci. Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Witold Pedrycz, Xibei Yang
2024	J	`jnl`	Multi-head multi-order graph attention networks. Appl. Intell. Jie Ben, Qiguo Sun, Keyu Liu, Xibei Yang, Fengjun Zhang
2024	J	`jnl`	Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks. Eng. Appl. Artif. Intell. Qihang Guo, Xibei Yang, Fengjun Zhang, Taihua Xu
2024	J	`jnl`	Purity Skeleton Dynamic Hypergraph Neural Network. Neurocomputing Yuge Wang, Xibei Yang, Qiguo Sun, Yuhua Qian, Qihang Guo
2024	J	`jnl`	SSGCN: a sampling sequential guided graph convolutional network. Int. J. Mach. Learn. Cybern. Xiaoxiao Wang, Xibei Yang, Pingxin Wang, Hualong Yu, Taihua Xu
2024	J	`jnl`	Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy. Appl. Intell. Damo Qian, Keyu Liu, Shiming Zhang, Xibei Yang
2024	J	`jnl`	Sequential attention layer-wise fusion network for multi-view classification. Int. J. Mach. Learn. Cybern. Qing Teng, Xibei Yang, Qiguo Sun, Pingxin Wang, Xun Wang, Taihua Xu
2024	J	`jnl`	Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients. IEEE Trans. Emerg. Top. Comput. Intell. Hengrong Ju, Tao Yin, Jiashuang Huang, Weiping Ding, Xibei Yang
2024	J	`jnl`	Three-way clustering: Foundations, survey and challenges. Appl. Soft Comput. Pingxin Wang, Xibei Yang, Weiping Ding, Jianming Zhan, Yiyu Yao
2024	J	`jnl`	Three-way evidence theory-based density peak clustering with the principle of justifiable granularity. Appl. Soft Comput. Hengrong Ju, Yang Lu, Weiping Ding, Jinxin Cao, Xibei Yang
2023	J	`jnl`	A Q-learning approach to attribute reduction. Appl. Intell. Yuxin Liu, Zhice Gong, Keyu Liu, Suping Xu, Hengrong Ju, Xibei Yang
2023	J	`jnl`	A constraint score guided meta-heuristic searching to attribute reduction. J. Intell. Fuzzy Syst. Jiaqi Sun, Pingxin Wang, Hualong Yu, Xibei Yang
2023	J	`jnl`	A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation. Appl. Intell. Shuaishuai Zhang, Keyu Liu, Taihua Xu, Xibei Yang, Ao Zhang
2023	J	`jnl`	Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously. Neural Process. Lett. Yan Gu, Hualong Yu, Xibei Yang, Shang Gao
2023	—	`conf`	An Acceleration Method for Attribute Reduction Based on Attribute Synthesis. IJCRS Chengzhi Shi, Taihua Xu, Fuhao Cheng, Xibei Yang, Jianjun Chen
2023	J	`jnl`	Bi-directional adaptive neighborhood rough sets based attribute subset selection. Int. J. Approx. Reason. Hengrong Ju, Weiping Ding, Xibei Yang, Pingping Gu
2023	J	`jnl`	Ensemble selector mixed with pareto optimality to feature reduction. Appl. Soft Comput. Zhenyu Yin, Xibei Yang, Pingxin Wang, Hualong Yu, Yuhua Qian
2023	J	`jnl`	Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity. Appl. Soft Comput. Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu
2023	J	`jnl`	Gift: granularity over specific-class for feature selection. Artif. Intell. Rev. Jing Ba, Keyu Liu, Xibei Yang, Yuhua Qian
2023	J	`jnl`	Glee: A granularity filter for feature selection. Eng. Appl. Artif. Intell. Jing Ba, Pingxin Wang, Xibei Yang, Hualong Yu, Dongjun Yu
2023	J	`jnl`	Multi-label learning with Relief-based label-specific feature selection. Appl. Intell. Jiadong Zhang, Keyu Liu, Xibei Yang, Hengrong Ju, Suping Xu
2023	J	`jnl`	PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity. Appl. Intell. Yan Gu, Jicong Duan, Hualong Yu, Xibei Yang, Shang Gao
2023	J	`jnl`	Prediction of Multiple Types of RNA Modifications via Biological Language Model. IEEE ACM Trans. Comput. Biol. Bioinform. Ying Zhang, Fang Ge, Fuyi Li, Xibei Yang, Jiangning Song, Dong-Jun Yu
2023	J	`jnl`	RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning. J. King Saud Univ. Comput. Inf. Sci. Shanlin Zhou, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao
2023	J	`jnl`	SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy. IEEE Trans. Fuzzy Syst. Keyu Liu, Tianrui Li, Xibei Yang, Hongmei Chen, Jie Wang, Zhixuan Deng
2023	J	`jnl`	YOLOv7-WFD: A Novel Convolutional Neural Network Model for Helmet Detection in High-Risk Workplaces. IEEE Access Jianjun Chen, Junning Zhu, Zhuang Li, Xibei Yang
2022	J	`jnl`	An Ensemble Framework to Forest Optimization Based Reduct Searching. Symmetry Jin Wang, Yuxin Liu, Jianjun Chen, Xibei Yang
2022	J	`jnl`	Attribute reduction with personalized information granularity of nearest mutual neighbors. Inf. Sci. Hengrong Ju, Weiping Ding, Zhenquan Shi, Jiashuang Huang, Jie Yang, Xibei Yang
2022	J	`jnl`	Bee: towards a robust attribute reduction. Int. J. Mach. Learn. Cybern. Yining Chen, Pingxin Wang, Xibei Yang, Hualong Yu
2022	J	`jnl`	DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift Steam. IEEE Access Baoquan Feng, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao
2022	J	`jnl`	ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation. Biomed. Signal Process. Control. Xin Shu, Feng Chang, Xin Zhang, Changbin Shao, Xibei Yang
2022	J	`jnl`	Ensemble learning using three-way density-sensitive spectral clustering. Int. J. Approx. Reason. Jiachen Fan, Pingxin Wang, Chunmao Jiang, Xibei Yang, Jingjing Song
2022	J	`jnl`	Fusing attribute reduction accelerators. Inf. Sci. Yan Chen, Xibei Yang, Jinhai Li, Pingxin Wang, Yuhua Qian
2022	J	`jnl`	Granular cabin: An efficient solution to neighborhood learning in big data. Inf. Sci. Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu, Pengfei Zhang, Jie Wang
2022	J	`jnl`	Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization. Int. J. Approx. Reason. Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu
2022	J	`jnl`	Hierarchical sequential three-way decision model. Int. J. Approx. Reason. Jin Qian, Dawei Tang, Ying Yu, Xibei Yang, Shang Gao
2022	J	`jnl`	Instance weighted SMOTE by indirectly exploring the data distribution. Knowl. Based Syst. Aimin Zhang, Hualong Yu, Shanlin Zhou, Zhangjun Huan, Xibei Yang
2022	J	`jnl`	Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning. J. Chem. Inf. Model. Guan-Yu Zhu, Yan Liu, Peng-Hao Wang, Xibei Yang, Dong-Jun Yu
2022	J	`jnl`	Neighborhood rough set based ensemble feature selection with cross-class sample granulation. Appl. Soft Comput. Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu
2022	—	`conf`	ROSES: A Novel Semi-supervised Feature Selector. IIP Xiaoyu Zhang, Keyu Liu, Jing Ba, Xin Yang, Xibei Yang
2022	J	`jnl`	Random sampling accelerator for attribute reduction. Int. J. Approx. Reason. Zhen Chen, Keyu Liu, Xibei Yang, Hamido Fujita
2022	J	`jnl`	SMOTE-R Inf. Sci. Aimin Zhang, Hualong Yu, Zhangjun Huan, Xibei Yang, Shang Zheng, Shang Gao
2022	J	`jnl`	Triple-G: a new MGRS and attribute reduction. Int. J. Mach. Learn. Cybern. Jing Ba, Keyu Liu, Hengrong Ju, Suping Xu, Taihua Xu, Xibei Yang
2022	J	`jnl`	Unsupervised attribute reduction: improving effectiveness and efficiency. Int. J. Mach. Learn. Cybern. Zhice Gong, Yuxin Liu, Taihua Xu, Pingxin Wang, Xibei Yang
2021	J	`jnl`	Accelerator for crosswise computing reduct. Appl. Soft Comput. Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li, Yuhua Qian
2021	J	`jnl`	An Exploration of Online Missing Value Imputation in Non-stationary Data Stream. SN Comput. Sci. Wenlu Dong, Shang Gao, Xibei Yang, Hualong Yu
2021	J	`jnl`	An improved D-S evidence theory based neighborhood rough classification approach. J. Intell. Fuzzy Syst. Tao Yin, Xiaojuan Mao, Xingtan Wu, Hengrong Ju, Weiping Ding, Xibei Yang
2021	J	`jnl`	Attribution reduction based on sequential three-way search of granularity. Int. J. Mach. Learn. Cybern. Xun Wang, Pingxin Wang, Xibei Yang, Yiyu Yao
2021	J	`jnl`	Data-guided multi-granularity selector for attribute reduction. Appl. Intell. Zehua Jiang, Huili Dou, Jingjing Song, Pingxin Wang, Xibei Yang, Yuhua Qian
2021	J	`jnl`	Ensemble and Quick Strategy for Searching Reduct: A Hybrid Mechanism. Inf. Wangwang Yan, Yan Chen, Jinlong Shi, Hualong Yu, Xibei Yang
2021	J	`jnl`	Granular ball guided selector for attribute reduction. Knowl. Based Syst. Yan Chen, Pingxin Wang, Xibei Yang, Jusheng Mi, Dun Liu
2021	J	`jnl`	Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations. Inf. Sci. Xin Yang, Dun Liu, Xibei Yang, Keyu Liu, Tianrui Li
2021	J	`jnl`	Online sequential extreme learning machine with the increased classes. Comput. Electr. Eng. Hualong Yu, Houjuan Xie, Xibei Yang, Haitao Zou, Shang Gao
2021	J	`jnl`	Robust supervised rough granular description model with the principle of justifiable granularity. Appl. Soft Comput. Hengrong Ju, Weiping Ding, Xibei Yang, Hamido Fujita, Suping Xu
2021	J	`jnl`	Three-Way Clustering Method Based on Stability Theory. IEEE Access Pingxin Wang, Xibei Yang
2020	J	`jnl`	A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER. IEEE Access Xiangjian Chen, Di Li, Pingxin Wang, Xibei Yang
2020	J	`jnl`	Accelerator for supervised neighborhood based attribute reduction. Int. J. Approx. Reason. Zehua Jiang, Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Yuhua Qian
2020	J	`jnl`	Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data. Neural Process. Lett. Shang Gao, Wenlu Dong, Ke Cheng, Xibei Yang, Shang Zheng, Hualong Yu
2020	J	`jnl`	Attribute group for attribute reduction. Inf. Sci. Yan Chen, Keyu Liu, Jingjing Song, Hamido Fujita, Xibei Yang, Yuhua Qian
2020	J	`jnl`	Boosting label weighted extreme learning machine for classifying multi-label imbalanced data. Neurocomputing Ke Cheng, Shang Gao, Wenlu Dong, Xibei Yang, Qi Wang, Hualong Yu
2020	J	`jnl`	Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach. J. Intell. Fuzzy Syst. Xiansheng Rao, Keyu Liu, Jingjing Song, Xibei Yang, Yuhua Qian
2020	—	`conf`	Hierarchies and Uncertainty Measures on Pythagorean Fuzzy Approximation Spaces. FSDM Xiaojing Luo, Jingjing Song, Huili Dou, Xibei Yang, Taihua Xu
2020	J	`jnl`	Label distribution learning: A local collaborative mechanism. Int. J. Approx. Reason. Suping Xu, Hengrong Ju, Lin Shang, Witold Pedrycz, Xibei Yang, Chun Li
2020	J	`jnl`	Quickly calculating reduct: An attribute relationship based approach. Knowl. Based Syst. Xiansheng Rao, Xibei Yang, Xin Yang, Xiangjian Chen, Dun Liu, Yuhua Qian
2020	J	`jnl`	Supervised information granulation strategy for attribute reduction. Int. J. Mach. Learn. Cybern. Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Xiangjian Chen, Dun Liu
2019	J	`jnl`	Accelerator for multi-granularity attribute reduction. Knowl. Based Syst. Zehua Jiang, Xibei Yang, Hualong Yu, Dun Liu, Pingxin Wang, Yuhua Qian
2019	J	`jnl`	Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine. IEEE Trans. Neural Networks Learn. Syst. Hualong Yu, Xibei Yang, Shang Zheng, Changyin Sun
2019	J	`jnl`	An efficient selector for multi-granularity attribute reduction. Inf. Sci. Keyu Liu, Xibei Yang, Hamido Fujita, Dun Liu, Xin Yang, Yuhua Qian
2019	J	`jnl`	Colour face recognition using fuzzy quaternion-based discriminant analysis. Int. J. Mach. Learn. Cybern. Shuzhe Bao, Xiaoning Song, Guosheng Hu, Xibei Yang, Chunli Wang
2019	J	`jnl`	Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View. Complex. Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang, Jusheng Mi
2019	J	`jnl`	Fuzzy One-Class Extreme Auto-encoder. Neural Process. Lett. Hualong Yu, Dan Sun, Xiaoyan Xi, Xibei Yang, Shang Zheng, Qi Wang
2019	J	`jnl`	Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data. IEEE Trans. Fuzzy Syst. Hualong Yu, Changyin Sun, Xibei Yang, Shang Zheng, Haitao Zou
2019	J	`jnl`	Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data. IEEE Access Ke Cheng, Chen Zhang, Hualong Yu, Xibei Yang, Haitao Zou, Shang Gao
2019	Misc	`conf`	Neighborhood Classifier for Label Noise. ICMLC Xiansheng Rao, Jingjing Song, Xibei Yang, Keyu Liu, Pingxin Wang
2019	J	`jnl`	Neighborhood attribute reduction: a multi-criterion approach. Int. J. Mach. Learn. Cybern. Jingzheng Li, Xibei Yang, Xiaoning Song, Jinhai Li, Pingxin Wang, Dong-Jun Yu
2019	J	`jnl`	Order based hierarchies on hesitant fuzzy approximation space. Int. J. Mach. Learn. Cybern. Eric C. C. Tsang, Jingjing Song, Degang Chen, Xibei Yang
2019	J	`jnl`	Pseudo-label neighborhood rough set: Measures and attribute reductions. Int. J. Approx. Reason. Xibei Yang, Shaochen Liang, Hualong Yu, Shang Gao, Yuhua Qian
2019	J	`jnl`	Rough intuitionistic type-2 fuzzy c-means clustering algorithm for MR image segmentation. IET Image Process. Xiangjian Chen, Di Li, Xun Wang, Xibei Yang, Hongmei Li
2019	J	`jnl`	Rough set based semi-supervised feature selection via ensemble selector. Knowl. Based Syst. Keyu Liu, Xibei Yang, Hualong Yu, Jusheng Mi, Pingxin Wang, Xiangjian Chen
2019	J	`jnl`	Sequential three-way classifier with justifiable granularity. Knowl. Based Syst. Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, Xibei Yang, Xianzhong Zhou
2019	J	`jnl`	State of health prediction for lithium-ion batteries using multiple-view feature fusion and support vector regression ensemble. Int. J. Mach. Learn. Cybern. Chao Ma, Xu Zhai, Zhaopei Wang, Mingguang Tian, Qiusheng Yu, Lei Liu, Hao Liu, Hao Wang, Xibei Yang
2019	J	`jnl`	Three-way k-means: integrating k-means and three-way decision. Int. J. Mach. Learn. Cybern. Pingxin Wang, Hong Shi, Xibei Yang, Jusheng Mi
2019	J	`jnl`	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 Zehua Jiang, Yibo Wang, Gang Xu, Xibei Yang, Pingxin Wang
2018	Misc	`conf`	Distance Based On Neighborhood Classifier and Attribute Reduction. ICMLC Yuan Gao, Keyu Liu, Jingjing Song, Xiang-Jian Chen, Xibei Yang
2018	J	`jnl`	Ensemble selector for attribute reduction. Appl. Soft Comput. Xibei Yang, Yiyu Yao
2018	J	`jnl`	LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data. IEEE Access Hualong Yu, Changyin Sun, Xibei Yang, Shang Zheng, Qi Wang, Xiaoyan Xi
2018	—	`conf`	Multi-granularity Attribute Reduction. IJCSR Shaochen Liang, Keyu Liu, Xiangjian Chen, Pingxin Wang, Xibei Yang
2018	J	`jnl`	Neighborhood Attribute Reduction: A Multicriterion Strategy Based on Sample Selection. Inf. Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang
2018	J	`jnl`	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 Pingxin Wang, Qiang Liu, Xibei Yang, Jusheng Mi
2018	J	`jnl`	监督邻域粗糙集 (Supervised Neighborhood Rough Set). 计算机科学 Linna Wang, Xin Yang, Xibei Yang
2017	—	`conf`	Attribute Reduction: An Ensemble Strategy. IJCRS (1) Suping Xu, Pingxin Wang, Jinhai Li, Xibei Yang, Xiangjian Chen
2017	C	`conf`	C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy. ISMIS Pingxin Wang, Xibei Yang, Yiyu Yao
2017	J	`jnl`	Cost-sensitive rough set: A multi-granulation approach. Knowl. Based Syst. Hengrong Ju, Huaxiong Li, Xibei Yang, Xianzhong Zhou, Bing Huang
2017	—	`conf`	Ensemble Re-clustering: Refinement of Hard Clustering by Three-Way Strategy. IScIDE Pingxin Wang, Qiang Liu, Xibei Yang, Fasheng Xu
2017	J	`jnl`	Minimal decision cost reduct in fuzzy decision-theoretic rough set model. Knowl. Based Syst. Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang
2017	J	`jnl`	Multigranulation rough set: A multiset based strategy. Int. J. Comput. Intell. Syst. Xibei Yang, Suping Xu, Huili Dou, Xiaoning Song, Hualong Yu, Jingyu Yang
2017	J	`jnl`	Parity symmetrical collaborative representation-based classification for face recognition. Int. J. Mach. Learn. Cybern. Xiaoning Song, Xibei Yang, Chang-Bin Shao, Jingyu Yang
2017	J	`jnl`	Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs. IEEE ACM Trans. Comput. Biol. Bioinform. Jun Hu, Yang Li, Ming Zhang, Xibei Yang, Hong-Bin Shen, Dong-Jun Yu
2017	J	`jnl`	Sparse representation-based classification using generalized weighted extended dictionary. Soft Comput. Xiaoning Song, Chang-Bin Shao, Xibei Yang, Xiaojun Wu
2017	J	`jnl`	一种基于邻域协同表达的分类方法 (Neighborhood Collaborative Representation Based Classification Method). 计算机科学 Suping Xu, Xibei Yang, Hualong Yu, Dongjun Yu
2017	J	`jnl`	基于Local约简的序贯三支分类器 (Sequential Three-way Classifier with Local Reduction). 计算机科学 Hengrong Ju, Huaxiong Li, Xianzhong Zhou, Bing Huang, Xibei Yang
2017	J	`jnl`	基于多代价的决策粗糙集属性约简 (Attribute Reduction Based on Multicost Decision-theoretic Rough Set). 计算机科学 Zhirong Yang, Yu Wang, Xibei Yang
2016	J	`jnl`	A comparative study of multigranulation rough sets and concept lattices via rule acquisition. Knowl. Based Syst. Jinhai Li, Yue Ren, Changlin Mei, Yuhua Qian, Xibei Yang
2016	J	`jnl`	Cost-sensitive rough set approach. Inf. Sci. Hengrong Ju, Xibei Yang, Hualong Yu, Tongjun Li, Dong-Jun Yu, Jingyu Yang
2016	J	`jnl`	Decision-theoretic rough set: A multicost strategy. Knowl. Based Syst. Huili Dou, Xibei Yang, Xiaoning Song, Hualong Yu, Wei-Zhi Wu, Jingyu Yang
2016	J	`jnl`	Extended minimum-squared error algorithm for robust face recognition via auxiliary mirror samples. Soft Comput. Chang-Bin Shao, Xiaoning Song, Xibei Yang, Xiaojun Wu
2016	Misc	`conf`	Minimum decision cost reduct for fuzzy decision-theoretic rough set model. ICMLC Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang
2016	J	`jnl`	Multi-label learning with label-specific feature reduction. Knowl. Based Syst. Suping Xu, Xibei Yang, Hualong Yu, Dong-Jun Yu, Jingyu Yang, Eric C. C. Tsang
2016	Misc	`conf`	Neighborhood collaborative classifiers. ICMLC Suping Xu, Xibei Yang, Eric C. C. Tsang, Eric Appiah Mantey
2016	J	`jnl`	ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data. Knowl. Based Syst. Hualong Yu, Changyin Sun, Xibei Yang, Wankou Yang, Jifeng Shen, Yunsong Qi
2016	J	`jnl`	Towards multi-scale fuzzy sparse discriminant analysis using local third-order tensor model of face images. Neurocomputing Xiaoning Song, Zhenhua Feng, Xibei Yang, Xiaojun Wu, Jingyu Yang
2016	J	`jnl`	基于样本选择的启发式属性约简方法研究 (New Heuristic Attribute Reduction Algorithm Based on Sample Selection). 计算机科学 Xibei Yang, Xu Yan, Suping Xu, Hualong Yu
2015	—	`conf`	A Moderate Attribute Reduction Approach in Decision-Theoretic Rough Set. RSFDGrC Hengrong Ju, Xibei Yang, Pei Yang, Huaxiong Li, Xianzhong Zhou
2015	J	`jnl`	AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine. Neurocomputing Hualong Yu, Changyin Sun, Wankou Yang, Xibei Yang, Xin Zuo
2015	J	`jnl`	Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression. IEEE ACM Trans. Comput. Biol. Bioinform. Dong-Jun Yu, Yang Li, Jun Hu, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen
2015	J	`jnl`	Extended semi-supervised fuzzy learning method for nonlinear outliers via pattern discovery. Appl. Soft Comput. Xiaoning Song, Zi Liu, Xibei Yang, Jing-Yu Yang, Yunsong Qi
2015	—	`conf`	Imbalanced Extreme Learning Machine Based on Probability Density Estimation. MIWAI Jü Yang, Hualong Yu, Xibei Yang, Xin Zuo
2015	Misc	`conf`	Parity symmetrical SRC algorithm for face recognition. ICMLC Xiaoning Song, Xibei Yang
2015	Misc	`conf`	Prediction of protein structural classes by decreasing nearest neighbor error rate. ICMLC Suping Xu, Xibei Yang, Xiaoning Song, Hualong Yu
2015	J	`jnl`	Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition. J. Electronic Imaging Xiaoning Song, Zhenhua Feng, Guosheng Hu, Xibei Yang, Jing-Yu Yang, Yunsong Qi
2015	J	`jnl`	Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data. Knowl. Based Syst. Hualong Yu, Chaoxu Mu, Changyin Sun, Wankou Yang, Xibei Yang, Xin Zuo
2015	J	`jnl`	α-Dominance relation and rough sets in interval-valued information systems. Inf. Sci. Xibei Yang, Yong Qi, Dong-Jun Yu, Hualong Yu, Jingyu Yang
2015	J	`jnl`	量化粗糙集的单调性属性约简方法 (Approach to Monotonicity Attribute Reduction in Quantitative Rough Set). 计算机科学 Hengrong Ju, Xibei Yang, Yong Qi, Jingyu Yang
2014	C	`conf`	A Dynamic Generation Approach for Ensemble of Extreme Learning Machines. ISNN Hualong Yu, Yulong Yuan, Xibei Yang, Yuanyuan Dan
2014	J	`jnl`	A new sparse representation-based classification algorithm using iterative class elimination. Neural Comput. Appl. Xiaoning Song, Zi Liu, Xibei Yang, Shang Gao
2014	J	`jnl`	A parameterized fuzzy adaptive K-SVD approach for the multi-classes study of pursuit algorithms. Neurocomputing Xiaoning Song, Zi Liu, Xibei Yang, Jingyu Yang
2014	—	`conf`	Characterizing Hierarchies on Covering-Based Multigranulation Spaces. RSKT Jingjing Song, Xibei Yang, Yong Qi, Hualong Yu, Xiaoning Song, Jing-Yu Yang
2014	J	`jnl`	Constructive and axiomatic approaches to hesitant fuzzy rough set. Soft Comput. Xibei Yang, Xiaoning Song, Yunsong Qi, Jingyu Yang
2014	J	`jnl`	Dynamic updating multigranulation fuzzy rough set: approximations and reducts. Int. J. Mach. Learn. Cybern. Hengrong Ju, Xibei Yang, Xiaoning Song, Yunsong Qi
2014	J	`jnl`	Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble. BMC Bioinform. Dong-Jun Yu, Jun Hu, Hui Yan, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen
2014	J	`jnl`	Hierarchies on fuzzy information granulations: A knowledge distance based lattice approach. J. Intell. Fuzzy Syst. Jingjing Song, Xibei Yang, Xiaoning Song, Hualong Yu, Jing-Yu Yang
2014	—	`conf`	Multicost Decision-Theoretic Rough Sets Based on Maximal Consistent Blocks. RSKT Xingbin Ma, Xibei Yang, Yong Qi, Xiaoning Song, Jing-Yu Yang
2014	J	`jnl`	Tolerance-based multigranulation rough sets in incomplete systems. Frontiers Comput. Sci. Zaiyue Zhang, Xibei Yang
2014	J	`jnl`	Updating multigranulation rough approximations with increasing of granular structures. Knowl. Based Syst. Xibei Yang, Yong Qi, Hualong Yu, Xiaoning Song, Jingyu Yang
2014	J	`jnl`	Variable Precision Multigranulation Rough Set and Attributes Reduction. Trans. Rough Sets Hengrong Ju, Xibei Yang, Huili Dou, Jingjing Song
2014	—	`conf`	Want More? Pay More! RSCTC Xibei Yang, Yong Qi, Hualong Yu, Jingyu Yang
2013	J	`jnl`	A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis. Comput. Math. Appl. Xiaoning Song, Zi Liu, Xibei Yang, Jingyu Yang
2013	J	`jnl`	Hierarchy on multigranulation structures: a knowledge distance approach. Int. J. Gen. Syst. Xibei Yang, Xiaoning Song, Yanhong She, Jingyu Yang
2013	—	`conf`	Multi-covering Based Rough Set Model. RSFDGrC Lijuan Wang, Xibei Yang, Chen Wu
2013	J	`jnl`	On Characterizing Hierarchies of Granulation Structures via Distances. Fundam. Informaticae Xibei Yang, Yuhua Qian, Jingyu Yang
2013	J	`jnl`	Test cost sensitive multigranulation rough set: Model and minimal cost selection. Inf. Sci. Xibei Yang, Yunsong Qi, Xiaoning Song, Jingyu Yang
2012	—	`conf`	A novel fuzzy supervised learning method with dynamical parameter estimation for discriminant analysis. FSKD Xiaoning Song, Xibei Yang, Zi Liu, Xiangnan Ding
2012	J	`jnl`	Hierarchical Structures on Multigranulation Spaces. J. Comput. Sci. Technol. Xibei Yang, Yuhua Qian, Jing-Yu Yang
2012	—	`conf`	Hybrid: A New Multigranulation Rough Set Approach. RSKT Xibei Yang, Cheng Yan, Cai Chen, Jingyu Yang
2012	Misc	`conf`	Incomplete multigranulation decision rules acquisition. GrC Lijuan Wang, Xibei Yang, Jingyu Yang
2012	J	`jnl`	Intuitionistic Fuzzy Dominance-based Rough Set Approach: Model and Attribute Reductions. J. Softw. Yanqin Zhang, Xibei Yang
2012	J	`jnl`	Local and Global Measurements of MGRS Rules. Int. J. Comput. Intell. Syst. Xibei Yang, Yanqin Zhang, Jing-Yu Yang
2012	J	`jnl`	Neighborhood System Based Rough Set: Models and Attribute Reductions. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Xibei Yang, Zehua Chen, Huili Dou, Ming Zhang, Jingyu Yang
2012	J	`jnl`	On multigranulation rough sets in incomplete information system. Int. J. Mach. Learn. Cybern. Xibei Yang, Xiaoning Song, Zehua Chen, Jingyu Yang
2012	J	`jnl`	Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system. Inf. Sci. Lijuan Wang, Xibei Yang, Jingyu Yang, Chen Wu
2012	—	`conf`	Rough Set Model Based on Hybrid Tolerance Relation. RSKT Junyi Zhou, Xibei Yang
2012	Misc	`conf`	Study on characteristic consistent blocks based rough set approach to incomplete system. GrC Junyi Zhou, Xibei Yang
2012	—	`conf`	The Models of Variable Precision Multigranulation Rough Sets. RSKT Huili Dou, Xibei Yang, Jiyue Fan, Suping Xu
2011	—	`conf`	A Variable Muitlgranulation Rough Sets Approach. ICIC (3) Ming Zhang, Zhenmin Tang, Weiyan Xu, Xibei Yang
2011	J	`jnl`	A note on the paper "Combination of interval-valued fuzzy set and soft set" [Comput. Math. Appl. 58(2009) 521-527]. Comput. Math. Appl. Young Bae Jun, Xibei Yang
2011	—	`conf`	An Intuitionistic Fuzzy Dominance-Based Rough Set. ICIC (3) Yanqin Zhang, Xibei Yang
2011	J	`jnl`	An optimal symmetrical null space criterion of Fisher discriminant for feature extraction and recognition. Soft Comput. Xiaoning Song, Jingyu Yang, Xiaojun Wu, Xibei Yang
2011	J	`jnl`	Dominance-based fuzzy rough approach to an interval-valued decision system. Frontiers Comput. Sci. China Xibei Yang, Ming Zhang
2011	J	`jnl`	Generalisation of rough set for rule induction in incomplete system. Int. J. Granul. Comput. Rough Sets Intell. Syst. Xibei Yang, Xiaoning Song, Xiaohua Hu
2011	—	`conf`	Incomplete Multigranulation Rough Sets in Incomplete Ordered Decision System. ICIC (3) Lijuan Wang, Xibei Yang, Jing-Yu Yang, Chen Wu
2011	J	`jnl`	Neighborhood systems-based rough sets in incomplete information system. Knowl. Based Syst. Xibei Yang, Ming Zhang, Huili Dou, Jingyu Yang
2011	J	`jnl`	Statistical thresholding method for infrared images. Pattern Anal. Appl. Zuoyong Li, Chuancai Liu, Guanghai Liu, Xibei Yang, Yong Cheng
2011	—	`conf`	The Models of Dominance-Based Multigranulation Rough Sets. ICIC (3) Xibei Yang
2011	J	`jnl`	Valued Dominance-Based Rough Set Approach to Incomplete Information System. Trans. Comput. Sci. Xibei Yang, Huili Dou
2010	J	`jnl`	A complete fuzzy discriminant analysis approach for face recognition. Appl. Soft Comput. Xiaoning Song, Yu-Jie Zheng, Xiaojun Wu, Xibei Yang, Jing-Yu Yang
2010	J	`jnl`	Discriminant analysis approach using fuzzy fourfold subspaces model. Neurocomputing Xiaoning Song, Xibei Yang, Jingyu Yang, Xiaojun Wu, Yu-Jie Zheng
2010	Misc	`conf`	Knowledge Operations in Neighborhood System. GrC Xibei Yang, Tsau Young Lin
2010	J	`jnl`	Limited Dominance-based Rough Set Model and Knowledge Reductions in Incomplete Decision System. J. Inf. Sci. Eng. Gongzhi Luo, Xibei Yang
2009	Misc	`conf`	A new rough set model for knowledge acquisition in incomplete information system. GrC Xibei Yang, Jing-Yu Yang, Xiaohua Hu
2009	J	`jnl`	Combination of interval-valued fuzzy set and soft set. Comput. Math. Appl. Xibei Yang, Tsau Young Lin, Jingyu Yang, Yan Li, Dongjun Yu
2009	J	`jnl`	Credible rules in incomplete decision system based on descriptors. Knowl. Based Syst. Xibei Yang, Jun Xie, Xiaoning Song, Jingyu Yang
2009	J	`jnl`	DRSA and reductions in incomplete fuzzy information system. Int. J. Granul. Comput. Rough Sets Intell. Syst. Lihua Wei, Zhenmin Tang, Xibei Yang, Limin Xu
2009	J	`jnl`	Difference Relation-Based Rough Set and Negative Rules in Incomplete Information System. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Xibei Yang, Dongjun Yu, Jingyu Yang, Xiaoning Song
2009	J	`jnl`	Dominance-based rough set approach to incomplete interval-valued information system. Data Knowl. Eng. Xibei Yang, Dongjun Yu, Jingyu Yang, Lihua Wei
2009	Misc	`conf`	First GrC model - Neighborhood Systems the most general rough set models. GrC Xibei Yang, Xinzhe Li, Tsau Young Lin
2008	—	`conf`	Dominance-Based Variable Precision Rough Fuzzy Approach in Fuzzy Information System. FSKD (5) Yunsong Qi, Xibei Yang, Huaijiang Sun, Yuqing Song
2008	Misc	`conf`	Dominance-based Rough Set Approach to Incomplete Fuzzy Information System. GrC Lihua Wei, Zhenmin Tang, Xibei Yang, Lili Zhang
2008	J	`jnl`	Dominance-based rough set approach and knowledge reductions in incomplete ordered information system. Inf. Sci. Xibei Yang, Jingyu Yang, Chen Wu, Dongjun Yu
2008	J	`jnl`	Extensions of dominance-based rough set approach in incomplete information system. Autom. Control. Comput. Sci. Lihua Wei, Zhenmin Tang, Runyun Wang, Xibei Yang
2008	Misc	`conf`	Interception Strategy in Multi-Agent Systems based on Rough Sets. GrC Yan Li, Xibei Yang, Jingyu Yang
2007	—	`conf`	Generalization of Soft Set Theory: From Crisp to Fuzzy Case. ICFIE Xibei Yang, Dongjun Yu, Jingyu Yang, Chen Wu
2006	—	`conf`	Expanding Tolerance RST Models Based on Cores of Maximal Compatible Blocks. RSCTC Chen Wu, Xiaohua Hu, Jingyu Yang, Xibei Yang
2006	B	`conf`	Knowledge Dependency Relationships in Incomplete Information System Based on Tolerance Relations. SMC Chen Wu, Xiaohua Hu, Lijuan Wang, Xibei Yang, Yi Pan
2005	Misc	`conf`	Information granules in general and complete coverings. GrC Chen Wu, Xibei Yang