王国胤

期刊论文

1. Ye Li, Lei Yang, Bin-Bin Sang, Shaoguo Cui, Tian-Gang Zhou, Guoyin Wang (2026). Fuzzy granular-ball-hypergraph based efficient feature selection exploring pruning strategies and synergistic features. Information Sciences.DOI
2. Jie Yang, Rong Huang, Guoyin Wang, Qinghua Zhang, Shu-Yin Xia, Di Wu (2026). 3W-GBSVM++: Three-way granular-ball SVM based on granularity optimization mechanism. Applied Soft Computing.DOI
3. Hong-Tao Gao, Lei Yang, Bin-Bin Sang, Zhongyue Yuan, Wen-Tao Li, Wei-Hua Xu, Guoyin Wang (2026). Unsupervised feature selection using bidirectional fuzzy rough divergence metrics. Fuzzy Sets Syst..DOI
4. Guang-Yong He, Li Liu, You-Min Zhang, Ye Wang, Qun Liu, Guoyin Wang (2026). Enhancing Graph Neural Network Explainers Using a Distribution Shift Consistency-Guided Generator. IEEE Transactions on Knowledge and Data Engineering.DOI
5. Jie Yang, Feng Lu, Guoyin Wang, Shu-Yin Xia, Qing-Hua Zhang, Yi Liu, Yi Wang, Di Wu (2026). Three-Way Outlier Detection Based on Shadowed Granular-Balls. IEEE transactions on fuzzy systems.DOI
6. Ye Li, Lei Yang, Bin-Bin Sang, Guoyin Wang (2026). MFFGH: An efficient multi-granularity fused fuzzy granular-ball-hypergraph model for unsupervised feature selection. Neurocomputing.DOI
7. Bin-Bin Sang, Hong-Tao Gao, Lei Yang, Wei-Hua Xu, Hong-Mei Chen, Shu-Yin Xia, Tian-Rui Li, Guoyin Wang (2026). Unsupervised Feature Selection Using Fuzzy Graph Momentum Random Walk in Bi-Level Granular-Ball Knowledge Space. IEEE Transactions on Knowledge and Data Engineering.DOI
8. Zirui Wu, Sheng Cao, Shu-Yin Xia, Bu-Tian Huang, Guoyin Wang, Xiaosong Zhang (2026). GBShard: Adaptive Sharding for Blockchain Network via Granular-Ball Partitioning. IEEE Transactions on Network Science and Engineering.DOI
9. Xiao-Yu Lian, Shu-Yin Xia, Bin-Bin Sang, Guoyin Wang, Xin-Bo Gao (2026). GBFRS: Robust Fuzzy Rough Sets via Granular Ball Computing. IEEE Transactions on Neural Networks and Learning Systems.DOI
10. Jie Yang, Lingyun Xiaodiao, Guoyin Wang, W. Pedrycz, Shu-Yin Xia, Di Wu, Qing-Hua Zhang (2026). A Three-Way Incremental Granular-Ball Classifier Using Shadowed Set. IEEE Transactions on Emerging Topics in Computational Intelligence.DOI
11. Xin-Ran Zhou, Qing-Hua Zhang, Fan Zhao, Yu-Tai Wang, Long-Jun Yin, Guoyin Wang (2026). A Novel Multigranularity Clustering Algorithm Based on Grid Partition and Fuzzy Quotient Space. IEEE transactions on fuzzy systems.DOI
12. Hua Zhang, Lei Yang, Bin-Bin Sang, Wei-Hua Xu, Shu-Yin Xia, Fanghong Zhang, Guoyin Wang (2026). Second-Order Biased Random Walk Outlier Detection Based on Bi-Level Granular-Ball Knowledge Representation. IEEE transactions on fuzzy systems.DOI
13. Su-Zhen Yuan, Qi-Lin Xie, Li-Feng Shen, Shu-Yin Xia, Jermiah D.Deng, Guoyin Wang (2026). Granular-Ball Quantum Clustering for Resource-Efficient and Robust Learning.
14. Xiao-Yu Lian, Shuyin Xia, Hongxuan He, Li-Feng Shen, Guoyin Wang, Xinbo Gao (2026). Adaptive $k$ Nearest Neighbors Classifier via Granular Ball Computing.
15. Ye Li, Lei Yang, Bin-Bin Sang, Guoyin Wang, Shu-Yin Xia, Wei-Hua Xu, Jian-Hang Yu (2026). An Efficient Feature Selection Method Using the Granular-Ball Divergence-Based Fuzzy Rough Hypergraph. IEEE Transactions on Knowledge and Data Engineering.DOI
16. Shu-Yin Xia, Mengbo Yang, Da-Wei Dai, Fan Chen, Shilin Zhao, Jun-Wei Han, Xin-Bo Gao, Guoyin Wang, Wen Lu (2026). Square Superpixel Generation and Representation Learning via Granular Ball Computing. arXiv.org.DOI
17. Shuyin Xia, Guan Wang, Cheng Tan, Chao Huang, Sen Zhao, Yi Liu, Yi Wang, Wei Wang, Guoyin Wang, Xinbo Gao (2026). Multi-Granularity Graph Contrastive Learning Framework via Granular-Ball on Heterogeneous Graphs. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
18. Guan Wang, Shu-Yin Xia, Lei Qian, Guoyin Wang, Yi Liu, Yi Wang, Wei Wang (2026). Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification. arXiv.org.DOI
19. Dongdong Cheng, Xiaocui Jiang, Shuyin Xia, Guoyin Wang, Jin-Long Huang, Sulan Zhang, Yi Wang (2026). Fast Spectral Clustering via Pseudo-Label-Based Granular-Ball Division for Large-Scale Data. IEEE Transactions on Knowledge and Data Engineering.DOI
20. Ze-Li Wang, Tianhao Pu, Shuyin Xia, Long-Long Lin, Lin-Pin Liu, Guoyin Wang (2026). GBDE: Granular-Ball Textual Adversarial Attacks With Differential Evolution. IEEE Transactions on Big Data.DOI
21. Xiaofei Zhu, Shiyan Wu, Li Liu, Shuyin Xia, Yi Wang, Guoyin Wang (2026). Granular-ball based robust representation learning for social recommendation. Engineering applications of artificial intelligence.DOI
22. Yaogang Geng, Hong Yu, Guoyin Wang, Yongfang Xie (2026). GRLT: Learning more from teachers by rethinking knowledge distillation from GNNs to MLPs. Neural Networks.DOI
23. Biao Hu, Guoyin Wang (2026). CMCFAE: Cloud Model Characteristic Function Auto-Encoder for Structure-Aware Generative Modeling. IEEE International Conference on Acoustics Speech and Signal Processing.DOI
24. Biao Hu, Guoyin Wang (2026). Gaussian Cloud Model Bayesian Neural Networks: A Variational Inference Framework for Reliable Prediction. IEEE International Conference on Acoustics Speech and Signal Processing.DOI
25. 张清华，王宇泰，赵凡，程云龙，王国胤（2025）. 复杂问题求解的多粒度计算框架. 《中国科学:信息科学》.
26. 肖添龙，徐计，王国胤（2025）. 基于偏序关系的多视图多粒度图表示学习框架. 《智能系统学报》.
27. Dawei Dai, Fan Chen, Shuyin Xia, Long Yang, Guan Wang, Guoyin Wang, Xinbo Gao (2025). An Adaptive Multi-Granularity Graph Representation of Image via Granular-ball Computing. IEEE Transactions on Image Processing.DOI
28. Xiaoxia Zhang, Jiangtao Zhang, Guoyin Wang (2025). A unified multi-granulation hierarchy structure: Construction, Selection, Fusion and Reduction. Information Fusion.DOI
29. Rui Han, Qun Liu, Xu Gong, Guoyin Wang, Li Liu, Xingping Xian (2025). MHGCL: A multi-modal hypergraph contrastive learning framework for molecular property prediction. Applied Soft Computing.DOI
30. Shuai Li, Jie Yang, Huanan Bao, Deyou Xia, Qinghua Zhang, Guoyin Wang (2025). Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification. IEEE Transactions on Knowledge and Data Engineering.DOI
31. Jin Dai, Yanhui Peng, Guoyin Wang, Feng Hu (2025). Adversarial regularize graph variational autoencoder based on encoder optimization strategy. Artificial Intelligence Review.DOI
32. Deyou Xia, Guoyin Wang, Qinghua Zhang, Man Gao, Zhixuan Deng, Shuai Li (2025). Fuzzy granule distance-guided monotonic sequential three-way approximations for multi-label fuzzy concepts. Applied Soft Computing.DOI
33. Yun-Long Cheng, Xiu-Hua Yang, Qing-Hua Zhang, Ya-Bin Shao, Guoyin Wang (2025). Granular Sequential Three-Way Decision for Specific Decision Classes. IEEE transactions on fuzzy systems.DOI
34. Cailing Deng, Qinghua Zhang, Xin-Ran Zhou, Siyang Zhang, Guoyin Wang, Wei-Hua Xu (2025). Density peaks clustering algorithm integrating manifold distance and mutual nearest neighbors. Pattern Recognition.DOI
35. Xu Gong, Maotao Liu, Qun Liu, Yi-Ke Guo, Guoyin Wang (2025). MDFCL: Multimodal data fusion-based graph contrastive learning framework for molecular property prediction. Pattern Recognition.DOI
36. Li Liu, Peng-Yu Wan, Feiyan Zhang, You-Min Zhang, Qunying Liu, Guoyin Wang (2025). Learning model-level explanations of graph neural networks via subgraph order embedding space. Neural Networks.DOI
37. Xiaoxia Zhang, Guang-Yao Wang, Yi Chen, Wen-Zhi Yang, Guoyin Wang (2025). Inter-layer explainable variational autoencoder model for multivariate time series anomaly detection. Engineering applications of artificial intelligence.DOI
38. Cheng-Lin Zhang, Hongfei Yu, Guoyin Wang, Yongfang Xie (2025). LiNGAM-SF: Causal Structural Learning Method With Linear Non-Gaussian Acyclic Models for Streaming Features. IEEE Transactions on Neural Networks and Learning Systems.DOI
39. Zi-Tu Liu, Yue Liu, Zhen-Yao Yu, Zheng-Wei Yang, Qingshan Fu, Yi-Ke Guo, Qun Liu, Guoyin Wang (2025). PT-VAE: Variational autoencoder with prior concept transformation. Neurocomputing.DOI
40. Jie Yang, Zhuangzhuang Liu, Guoyin Wang, Qinghua Zhang, Shuyin Xia, Di Wu, Yanmin Liu (2025). Constructing Three-Way Decision With Fuzzy Granular-Ball Rough Sets Based on Uncertainty Invariance. IEEE transactions on fuzzy systems.DOI
41. Fan Zhao, Qing-Hua Zhang, Ying Yang, Long-Jun Yin, Guoyin Wang, Wei-Ping Ding (2025). Knowledge-Level Fusion: A Novel Information Fusion Mode From the Perspective of Granular Computing. IEEE Transactions on Cybernetics.DOI
42. Ruqi Wang, Guoyin Wang, Lihua Gu, Qun Liu, Yue Liu, Yi-Ke Guo (2025). Intuitively interpreting GANs latent space using semantic distribution. Knowledge-Based Systems.DOI
43. Renjuan Nie, Guoyin Wang, Qun Liu, Chengxin Peng (2025). Link prediction for attribute and structure learning based on attention mechanism. Applied Soft Computing.DOI
44. Nanfang Luo, Qinghua Zhang, Cheng-Xin Hong, Jun Zhu, Guoyin Wang (2025). Three-way conflict management model with complex linguistic expressions for multi-attribute group decision-making. Information Sciences.DOI
45. Yewang Chen, Junfeng Li, Shuyin Xia, Qing-Hong Lai, Xinbo Gao, Guoyin Wang, Dongdong Cheng, Yi Liu, Yi Wang (2025). GBSK: Skeleton Clustering via Granular-ball Computing and Multi-Sampling for Large-Scale Data. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
46. Guannan Lai, Yihui Feng, Xin Yang, Xiao-Yu Deng, Hao Yu, Shu-Yin Xia, Guoyin Wang, Tian-Rui Li (2025). A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing. arXiv.org.DOI
47. Jiang Xie, Yu-Xin Cheng, Shuyin Xia, Chunfeng Hua, Guoyin Wang, Xinbo Gao (2025). AW-GBGAE: An Adaptive Weighted Graph Autoencoder Based on Granular-Balls for General Data Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
48. Shuyin Xia, Guan Wang, G. F. Xu, Sen Zhao, Guoyin Wang (2025). GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing. International Joint Conference on Artificial Intelligence.DOI
49. Shuyin Xia, Bolun Shi, Yi-Fan Wang, Jiang Xie, Guoyin Wang, Xinbo Gao (2025). GBCT: Efficient and Adaptive Clustering via Granular-Ball Computing for Complex Data. IEEE Transactions on Neural Networks and Learning Systems.DOI
50. Dongdong Cheng, Xiaocui Jiang, Shuyin Xia, Guoyin Wang (2025). Pseudo-label-Based Unsupervised Granular-Ball Division and Fast Spectral Clustering for High-Dimensional Data. IEEE International Conference on Data Engineering.DOI
51. Bin Hou, Guoyin Wang, Shuyin Xia, De-Gang Chen (2025). A Multi-Granularity Fireworks Algorithm with Collaboration and Competition for Solving the Influence Maximization Problem. IEEE Congress on Evolutionary Computation.DOI
52. Shuyin Xia, Yi-Fan Wang, Li-Feng Shen, Guoyin Wang (2025). Granular-Ball-Induced Multiple Kernel K-Means. International Joint Conference on Artificial Intelligence.DOI
53. Bin Hou, De-Gang Chen, Guoyin Wang, Shuyin Xia (2025). MGO: A Multi-Granularity Optimization Algorithm Based on Granular-balls. IEEE Congress on Evolutionary Computation.DOI
54. Dawei Dai, Hao Zhu, Shuyin Xia, Guoyin Wang (2025). Granular-Ball Representation Learning for Deep CNN on Learning with Label Noise. Lecture notes in computer science.DOI
55. Qiuyu Mei, Yu Hong, Shijie Yu, Yan Yang, Guoyin Wang (2025). Self-supervised multi-view multi-label learning with attention mechanisms. Multimedia Systems.DOI
56. Hong Zhi Yu, Qiwei Luo, Ye Wang, Guoyin Wang (2025). Generating samples for covariance to update prototype in few-shot class-incremental learning. Applied Intelligence.DOI
57. Yingge Liu, Dawei Dai, Shuyin Xia, Guoyin Wang (2025). FDSRM: A Feature-Driven Style-Agnostic Foundation Model for Sketch-Less Facial Image Retrieval. IEEE Transactions on Neural Networks and Learning Systems.DOI
58. Lihua Gu, Qun Liu, Ruqi Wang, Guoyin Wang, Guoyin Wang (2025). MGFD: A multi-granularity pathological auxiliary diagnosis model based on Grünwald–Letnikov fractional derivative. Neurocomputing.DOI
59. Yingge Liu, Dawei Dai, Xiangling Hou, Shilin Zhao, Guoyin Wang (2025). From Sparse to Complete: Semantic Understanding Based on Stroke Evolution in On-the-fly Sketch-based Image Retrieval. International Joint Conference on Artificial Intelligence.DOI
60. Shuai Liu, Qiyao Shen, Yunxi Wang, Yazhou Ren, Guoyin Wang (2025). Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognition. International Joint Conference on Artificial Intelligence.DOI
61. Ye Wang, Qi Wei, Hong Yu, Guoyin Wang, Chunmeng Shi, Dajiang Lei (2025). Cross-Interaction of Chinese Characters Structures and Boundary Features for Improving Clinical Named Entity Recognition. IEEE Journal of Biomedical and Health Informatics.DOI
62. Maotao Liu, Qun Liu, Xu Gong, Yunsong Luo, Guoyin Wang (2025). Mol-L2: Transferring text knowledge with frozen language models for molecular representation learning. Neurocomputing.DOI
63. Junliang Zhou, Ningji Gong, Yanjun Hu, Hong Zhi Yu, Guoyin Wang, Hao Wu (2025). GRANet: a graph residual attention network for gene regulatory network inference. Briefings in Bioinformatics.DOI
64. Qin Xie, Qinghua Zhang, Shuyin Xia, Xinran Zhou, Guoyin Wang (2025). GAdaBoost: An efficient and robust AdaBoost algorithm based on granular-ball structure. Knowledge-Based Systems.DOI
65. Yingge Liu, Dawei Dai, Guoyin Wang, Shuyin Xia (2025). Multivariate Feedback-Based Image-Text Joint Learning for Sketch-Less Facial Image Retrieval. IEEE Transactions on Circuits and Systems for Video Technology.DOI
66. Heng Zhang, Jiaxin Guo, Guoyin Wang, J Ding, Qin Hang (2025). Detecting adversarial examples in object detection: positive and negative representation approach. Journal of Electronic Imaging.DOI
67. Dawei Dai, Yuanhui Zhang, Qianlan Yang, Long Xu, Xiaojing Shen, Shuyin Xia, Guoyin Wang (2025). Pathologyvlm: a large vision-language model for pathology image understanding. Artificial Intelligence Review.DOI
68. Guo-Chang Zhu, Jun Hu, Li Liu, Qinghua Zhang, Guoyin Wang (2025). Enhancing graph representation learning via type-aware decoupling and node influence allocation. Applied Intelligence.DOI
69. Ji Hui Xu, Gang Ren, Jianhang Tang, Weiping Ding, Guoyin Wang (2025). Selecting Central and Divergent Samples via Leading Tree Metric Space for Semisupervised Learning. IEEE Transactions on Fuzzy Systems.DOI
70. Wenhao Zhang, Guoyin Wang, Qun Liu (2025). Collaborative Optimization of Truck-Drone Based on Multi-agent Reinforcement Learning. Lecture notes in computer science.DOI
71. Yao Xiao, Ji Xu, Jing Yang, Shaobo Li, Guoyin Wang (2025). Determinate node selection for semi-supervised classification oriented graph convolutional networks. International Journal of Bio-Inspired Computation.DOI
72. Man Gao, Qinghua Zhang, Pengren Jin, Deyou Xia, Guoyin Wang (2025). Rough Shadowed Set: Hybridization of Rough Set and Shadowed Set. Lecture notes in computer science.DOI
73. Degang J. Chen, Shuyin Xia, Bin Hou, Xinyu Lin, Sen Zhao, Guoyin Wang (2025). Granular-ball Computing Based Fireworks Algorithm for Global Optimization of Multi-modal Functions. Communications in computer and information science.DOI
74. Ruqi Wang, Guoyin Wang, Yunfei Zhou, Qun Liu (2025). An Interpretable Framework for Pulmonary Nodule Malignancy Prediction. Lecture notes in computer science.DOI
75. Chenglin Zhang, Hong Zhi Yu, Guoyin Wang (2025). Three-Way Causal Structure Representation and Learning for Uncertainty. Lecture notes in computer science.DOI
76. Fanxin Xu, Hong Yu, Zuqiang Su, Ping Zhang, Guoyin Wang (2025). Interpretable Disease Progression Path for Next Admission Diagnosis Event Prediction in Healthcare Data via Hybrid Rule-Transformer Network. Lecture notes in computer science.DOI
77. Yingge Liu, Dawei Dai, Kenan Zou, Xiufang Tan, Yiqiao Wu, Guoyin Wang (2024). Prior semantic-embedding representation learning for on-the-fly FG-SBIR. Expert Systems With Applications, Vol. 255.DOI
78. Yuan Li, Li Liu, Penggang Chen, Chenglin Zhang, Guoyin Wang (2024). Enhancing graph neural networks for self-explainable modeling: A causal perspective with multi-granularity receptive fields. Information Processing & Management, Vol. 61, No. 5.DOI
79. Jiangli Duan, Guoyin Wang, Xin Hu, Qun Liu, Qin Jiang, Huamin Zhu (2024). Concept cognition for knowledge graphs: Mining multi-granularity decision rule. Cognitive Systems Research, Vol. 87.DOI
80. Dongdong Cheng, Shushu Liu, Shuyin Xia, Guoyin Wang (2024). Granular-ball computing-based manifold clustering algorithms for ultra-scalable data. Expert Systems With Applications, Vol. 247.DOI
81. Min Li, Hao Zhou, Qun Liu, Xu Gong, Guoyin Wang (2024). WRND: A weighted oversampling framework with relative neighborhood density for imbalanced noisy classification. Expert Systems With Applications, Vol. 241.DOI
82. Youmin Zhang, William K. Cheung, Qun Liu, Guoyin Wang, Lili Yang, Li Liu (2024). Towards explaining graph neural networks via preserving prediction ranking and structural dependency. Information Processing & Management, Vol. 61, No. 2.DOI
83. 杨金业，徐计，王国胤（2024）. 基于引领森林的多粒度广义长尾分类. 《计算机科学》.
84. 代劲，李昊，王国胤（2024）. 基于动态样本选择的概念漂移自适应预测方法. 《电子学报》.
85. 高满，张清华，王国胤，姚一豫（2024）. 针对模糊数据近似处理的阴影集研究综述. 《自动化学报》.DOI
86. 赵凡，张清华，吴成英，谢秦，王国胤（2024）. 一种多粒度空间的快速构建方法. 《计算机学报》.
87. 王国胤，吴成英（2024）. 多粒度认知智能计算研究综述. 《重庆师范大学学报(自然科学版)》.
88. Yan-Hua Li, Xiao-Cao Ouyang, Chao-Fan Pan, Jie Zhang, Sen Zhao, Shu-Yin Xia, Xin Yang, Guoyin Wang, Tian-Rui Li (2024). Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary. AAAI Conference on Artificial Intelligence.DOI
89. Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang (2024). Multi-Granularity Causal Structure Learning. Proceedings of the AAAI Conference on Artificial Intelligence.DOI
90. Shu-Yin Xia, Xiao-Yu Lian, Guoyin Wang, Xin-Bo Gao, Jian-Cu Chen, Xiaoli Peng (2024). GBSVM: An Efficient and Robust Support Vector Machine Framework via Granular-Ball Computing. IEEE Transactions on Neural Networks and Learning Systems.DOI
91. Hong Yu, Xuekang Fan, Guoyin Wang, Yongfang Xie (2024). VSG3A2: A Genetic Algorithm-Based Virtual Sample Generation Approach Using Information Gain and Acceptance-Rejection Sampling. IEEE Transactions on Evolutionary Computation.DOI
92. Shu-Yin Xia, Xiao-Yu Lian, Guoyin Wang, Xin-Bo Gao, Qinghua Hu, Ya-Bin Shao (2024). Granular-Ball Fuzzy Set and Its Implement in SVM. IEEE Transactions on Knowledge and Data Engineering.DOI
93. Xiaoxia Zhang, Mengsheng Ye, Yun Zhang, Qun Liu, Guoyin Wang, Kesheng Wu (2024). Mg-SubAgg: Multi-granularity Subgraph Aggregation with topology for GNN. Information Sciences.DOI
94. Hai-Chao Sun, Guoyin Wang, Qun Liu, Yi-Ke Guo (2024). GNN-MgrPool: Enhanced graph neural networks with multi-granularity pooling for graph classification. Information Sciences.DOI
95. Qing-Hua Zhang, Shuaishuai Huang, Qin Xie, Fan Zhao, Guoyin Wang (2024). Fair large kernel embedding with relation-specific features extraction for link prediction. Information Sciences.DOI
96. Nanfang Luo, Qinghua Zhang, Long-Jun Yin, Qin Xie, Chengying Wu, Guoyin Wang (2024). Three-way multi-attribute decision-making under the double hierarchy hesitant fuzzy linguistic information system. Applied Soft Computing.DOI
97. Fanxin Xu, Zu-Qiang Su, Guoyin Wang (2024). Clinical Medical Test Decision-Making of Liver Disease Using Granular-Ball Rough Set. IJCRS.DOI
98. Dong-Dong Cheng, Chenglong Zhang, Ya Li, Shuyin Xia, Guoyin Wang, Jin-Long Huang, Sulan Zhang, Jiang Xie (2024). GB-DBSCAN: A fast granular-ball based DBSCAN clustering algorithm. Information Sciences.DOI
99. Huanan Bao, Guoyin Wang, Chen Liu, Qun Liu, Qiuyu Mei, Changhua Xu, Xin Wang (2024). Interpretable rough neural network for lung nodule diagnosis. Applied Soft Computing.DOI
100. Yan Xian, Hong Yu, Huaxiong Li, Guoyin Wang (2024). Class Incremental Learning via Semantic Information Mapping and Background Information Calibrating. IEEE transactions on circuits and systems for video technology (Print).DOI
101. Jie Yang, Juncheng Kuang, Guoyin Wang, Qinghua Zhang, Yanmin Liu, Qun Liu, Deyou Xia, Shuai Li, Xiaoqi Wang, Di Wu (2024). Adaptive three-way KNN classifier using density-based granular balls. Information Sciences.DOI
102. You-Min Zhang, Qun Liu, Guoyin Wang, William K. Cheung, Li Liu (2024). GEAR: Learning graph neural network explainer via adjusting gradients. Knowledge-Based Systems.DOI
103. Jie Yang, Xiaodan Qin, Guoyin Wang, Qinghua Zhang, Shuai Li, Di Wu (2024). Attribute reduction for hierarchical classification based on improved fuzzy rough set. Information Sciences.DOI
104. Xiaoxia Zhang, Penghao Zhang, Yanjun Liu, Guoyin Wang (2024). A novel attribute reduction method with constraints on empirical risk and decision rule length. Information Sciences.DOI
105. Dawei Dai, Yingge Liu, Yutang Li, Shiyu Fu, Shu-Yin Xia, Guoyin Wang (2024). LGRL: Local-Global Representation Learning for On-the-Fly FG-SBIR. IEEE Transactions on Big Data.DOI
106. Jiang Xie, Lian Jiang, Shuyin Xia, Xuexin Xiang, Guoyin Wang (2024). An adaptive density clustering approach with multi-granularity fusion. Information Fusion.DOI
107. Ze-Li Wang, Jian Li, Shu-Yin Xia, Long-Long Lin, Guoyin Wang (2024). Text Adversarial Defense via Granular-Ball Sample Enhancement. International Conference on Multimedia Retrieval.DOI
108. Shu-Yin Xia, Xinjun Ma, Zhiyuan Liu, Cheng Liu, Sen Zhao, Guoyin Wang (2024). Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training. AAAI Conference on Artificial Intelligence.DOI
109. Xuemei Cao, Xin Yang, Shuyin Xia, Guoyin Wang, Tian-Rui Li (2024). Open Continual Feature Selection via Granular-Ball Knowledge Transfer. IEEE Transactions on Knowledge and Data Engineering.DOI
110. Yuqi Wang, Dawei Dai, Da Liu, Shu-Yin Xia, Guoyin Wang (2024). BTSC: Binary tree structure convolution layers for building interpretable decision-making deep CNN. CAAI Transactions on Intelligence Technology.DOI
111. Jiang Xie, Xuexin Xiang, Shuyin Xia, Lian Jiang, Guoyin Wang, Xinbo Gao (2024). MGNR: A Multi-Granularity Neighbor Relationship and Its Application in KNN Classification and Clustering Methods. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
112. Jiang Xie, Minggao Dai, Shuyin Xia, Jinajinz Zhang, Guoyin Wang, Xinbo Gao (2024). An Efficient Fuzzy Stream Clustering Method Based on Granular-Ball Structure. IEEE International Conference on Data Engineering.DOI
113. Jiang Xie, Chunfeng Hua, Shuyin Xia, Yu-Xin Cheng, Guoyin Wang, Xinbo Gao (2024). W-GBC: An Adaptive Weighted Clustering Method Based on Granular-Ball Structure. IEEE International Conference on Data Engineering.DOI
114. YiHong Gong, Guoyin Wang (2024). Preface: Brain-Inspired AI Research. Science China Technological Sciences.DOI
115. Xu Gong, Qun Liu, Jing He, Yike Guo, Guoyin Wang (2024). MultiGranDTI: an explainable multi-granularity representation framework for drug-target interaction prediction. Applied Intelligence.DOI
116. Haihuan Jiang, Guoyin Wang, Qun Liu, Jiajia Cao (2024). A Multi-Population Surrogate-Assisted Algorithm Based on Granular-Ball K-Nearest Neighbors Classification for Expensive Optimization. IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).DOI
117. Wei Deng, Lan Wang, Xinyu Meng, Guoyin Wang (2024). Heterogeneity and Isomerism based Improved Sugarscape Modeling for Real Estate Market Cycles. IEEE International Conference on Agents (ICA).DOI
118. Dawei Dai, Yuanhui Zhang, Long Xu, Qianlan Yang, Xiaojing Shen, Shuyin Xia, Guoyin Wang (2024). PA-LLaVA: A Large Language-Vision Assistant for Human Pathology Image Understanding. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
119. Pengju Tang, Dawei Dai, Kai Zou, Xionghui Yang, Guoyin Wang (2024). GraphConvNet: A Dual Network Utilizing Local Features Coupled with Structural Information for Predicting Knee Osteoarthritis. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
120. Xu Gong, Qun Liu, Rui Han, Li Liu, Yike Guo, Guoyin Wang (2024). APK-MRL: An Adaptive Pre-training Framework with Knowledge-enhanced for Molecular Representation Learning. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
121. Shan Wu, Jun Hu, Chen Sun, Fujin Zhong, Qinghua Zhang, Guoyin Wang (2024). A cross-granularity feature fusion method for fine-grained image recognition. Applied Intelligence.DOI
122. Ying Yang, Qinghua Zhang, Fan Zhao, Yunlong Cheng, Qin Xie, Guoyin Wang (2024). Optimal scale combination selection based on genetic algorithm in generalized multi-scale decision systems for classification. Information Sciences.DOI
123. Ruhan Deng, Qinghua Zhang, Man Gao, Meiling Fu, Ye Wang, Guoyin Wang (2024). A Mixed Graph Convolutional Network with Cross-Distance Syntactic Aware for Aspect-Based Sentiment Analysis. IEEE International Conference on Medical Artificial Intelligence (MedAI).DOI
124. Guoyin Wang, Yike Guo, Tatsuya Akutsu, Luonan Chen, Xinbo Gao, Joerg Siekmann, Ruqian Lu, Huaimin Wang, Xindong Wu (2024). Acknowledgement MedAI 2024. IEEE International Conference on Medical Artificial Intelligence (MedAI).DOI
125. Yunpeng Xiao, Yun Peng Lu, Xiaohan Liu, Peiyan Pei, Dengke Zhao, Yutong Guo, Zhenzhou Xue, Guoyin Wang (2024). CQUPT-HDS: Health Big Data Security Monitoring Scheme for the Whole Life Cycle. IEEE International Conference on Medical Artificial Intelligence (MedAI).DOI
126. Hang Jiang, Ke Liu, Hong Zhi Yu, Guoyin Wang (2024). VSSI-L1N: EEG Extended Source Imaging Based on Variation Sparsity and Nuclear-norm Regularization. IEEE International Conference on Medical Artificial Intelligence (MedAI).DOI
127. Nanfang Luo, Qinghua Zhang, Qin Xie, Yutai Wang, Longjun Yin, Guoyin Wang (2024). Sequential three-way group decision-making for double hierarchy hesitant fuzzy linguistic term set. Information Sciences.DOI
128. Ke Liu, Tao Yang, Zhuliang Yu, Weibo Yi, Hong Zhi Yu, Guoyin Wang, Wei Wu (2024). MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding. IEEE Journal of Biomedical and Health Informatics.DOI
129. Ye Wang, Zheng Wang, Hong Qing Yu, Guoyin Wang, Dajiang Lei (2024). The interactive fusion of characters and lexical information for Chinese named entity recognition. Artificial Intelligence Review.DOI
130. Ye Wang, Daitianxia Li, Qun Liu, Li Liu, Guoyin Wang (2024). Self-supervised modal optimization transformer for image captioning. Neural Computing and Applications.DOI
131. Guoyin Wang, Huanan Bao, Qun Liu, Tiangang Zhou, Si Wu, Tiejun Huang, Zhaofei Yu, CeWu Lu, Yihong Gong, Zhaoxiang Zhang, Sheng He (2024). Brain-inspired artificial intelligence research: A review. Science China Technological Sciences.DOI
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263. Shuyin Xia, Shao-Yuan Zheng, Guoyin Wang, Xin-Bo Gao, Binggui Wang (2021). Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification. IEEE Transactions on Neural Networks and Learning Systems.DOI
264. Musabe Jean Bosco, Guoyin Wang (2021). Multilevel and Multi-granularity of Remote Sensing Imagery Application based on Deep Learning and Machine Learning Algorithm. Machine Learning for Multimodal Interaction.DOI
265. Haochen Qin, Yu Gu, Weihui Deng, Dong Xu, Guoyin Wang (2021). Self-interpretable Bayesian Rule Lists Model with Deep Prototype Layer. 2021 7th International Conference on Big Data and Information Analytics (BigDIA).DOI
266. Shuai Li, Jie Yang, Guoyin Wang, Tai-Hua Xu (2021). Multi-granularity distance measure for interval-valued intuitionistic fuzzy concepts. Information Sciences.DOI
267. Qinghua Zhang, Yun-Long Cheng, Fan Zhao, Guoyin Wang, Shuyin Xia (2021). Optimal Scale Combination Selection Integrating Three-Way Decision With Hasse Diagram. IEEE Transactions on Neural Networks and Learning Systems.DOI
268. Shuyin Xia, Baiyun Chen, Guoyin Wang, Yong Zheng, Xin-Bo Gao, Elisabeth Giem, Zi-Zhong Chen (2021). mCRF and mRD: Two Classification Methods Based on a Novel Multiclass Label Noise Filtering Learning Framework. IEEE Transactions on Neural Networks and Learning Systems.DOI
269. Qinghua Zhang, Zhihua Ai, Jinzhen Zhang, Guoyin Wang (2021). A novel fast constructing neighborhood covering algorithm for efficient classification. Knowledge-Based Systems.DOI
270. Dawei Dai, Chengfu Tang, Guoyin Wang, Shuyin Xia (2021). Building partially understandable convolutional neural networks by differentiating class-related neural nodes. Neurocomputing.DOI
271. Shuyin Xia, Yong Zheng, Guoyin Wang, Ping He, Heng Li, Zi-Zhong Chen (2021). Random Space Division Sampling for Label-Noisy Classification or Imbalanced Classification. IEEE Transactions on Cybernetics.DOI
272. Qun Liu, Ying Chen, Gangqiang Zhang, Guoyin Wang (2021). A Novel Functional Network Based on Three-way Decision for Link Prediction in Signed Social Networks. Cognitive Computation.DOI
273. Shun Fu, Guoyin Wang, Ji Xu (2021). hier2vec: interpretable multi-granular representation learning for hierarchy in social networks. International Journal of Machine Learning and Cybernetics.DOI
274. Hong Yu, Meng-Nan Cui, Guoyin Wang, Xiaofang Chen (2021). A Two-Sided Matching Method Based on Multi-stage Dynamic Reference Points.DOI
275. Xiaoxia Zhang, Lu Chen, Ye Wang, Guoyin Wang (2021). Improving Incremental Nonnegative Matrix Factorization Method for Recommendations Based on Three-Way Decision Making. Cognitive Computation.DOI
276. Zi-Tu Liu, Jiawang Li, Yue Liu, Qun Liu, Guoyin Wang, Yi-Ke Guo (2021). Interpretability Latent Space Method: Exploiting Shapley Representation to Explain Latent Space. 2021 7th International Conference on Big Data and Information Analytics (BigDIA).DOI
277. Hao Zhou, Xian-Yong Dong, Shuyin Xia, Guoyin Wang (2021). Weighted oversampling algorithms for imbalanced problems and application in prediction of streamflow. Knowledge-Based Systems.DOI
278. Shun Fu, Guoyin Wang, Ji Xu, Shuyin Xia (2021). IbLT: An effective granular computing framework for hierarchical community detection. Journal of Intelligence and Information Systems.DOI
279. Hong Yu, Z. Fu, Guoyin Wang, Yongfang Xie, Jie Li (2021). A Multi-objective optimization algorithm based on dynamic user-preference information. Computing.DOI
280. Zihan Yan, Li Liu, Xin Li, William Cheung, You-Min Zhang, Qun Liu, Guoyin Wang (2021). Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors. IEEE Transactions on Knowledge and Data Engineering.DOI
281. Jiangli Duan, Guoyin Wang, Xin Hu (2021). Equidistant k-layer multi-granularity knowledge space. Knowledge-Based Systems.DOI
282. Chengying Wu, Qinghua Zhang, Yun-Long Cheng, Mao Gao, Guoyin Wang (2021). Novel three-way generative classifier with weighted scoring distribution. Information Sciences.DOI
283. Chengying Wu, Qinghua Zhang, Fan Zhao, Yun-Long Cheng, Guoyin Wang (2021). Three-way recommendation model based on shadowed set with uncertainty invariance. International Journal of Approximate Reasoning.DOI
284. Hong Yu, Jia Tang, Guoyin Wang, Xin-Bo Gao (2021). A Novel Multi-View Clustering Method for Unknown Mapping Relationships Between Cross-View Samples. Knowledge Discovery and Data Mining.DOI
285. Ji Xu, Tian-Rui Li, Yongming Wu, Guoyin Wang (2021). LaPOLeaF: Label propagation in an optimal leading forest. Information Sciences.DOI
286. Guoyin Wang, M. J. Bosco, Hategekimana Yves (2021). Multi-Granularity Neural Network Encoding Method for Land Cover and Land Use Image Classification.DOI
287. Shuyin Xia, Longhai Huang, Guoyin Wang, Xin-Bo Gao, Ya-Bin Shao, Zi-Zhong Chen (2021). An adaptive and general model for label noise detection using relative probabilistic density. Knowledge-Based Systems.DOI
288. De-Niu He, Hong Yu, Guoyin Wang, Jie Li (2021). A two-stage clustering-based cold-start method for active learning. Intelligent Data Analysis.DOI
289. M. J. Bosco, Guoyin Wang, Yves Hategekimana (2021). Learning Multi-Granularity Neural Network Encoding Image Classification Using DCNNs for Easter Africa Community Countries. IEEE Access.DOI
290. Yanfei Xue, Ya-Bin Shao, Shuyin Xia, Guoyin Wang (2021). The Dual Model of Support Vector Machine Based on Granular Ball Computing. 2021 3rd International Conference on Applied Machine Learning (ICAML).DOI
291. Qinghua Zhang, Xue Zhi, Yongyang Dai, Guoyin Wang (2021). Democratic three-way decisions based on voting mechanism. International Journal of Machine Learning and Cybernetics.DOI
292. Huyong Yan, Jiao He, Xiaochuan Xu, Xinyu Yao, Guoyin Wang, Lianggui Tang, Lei Feng, Limin Zou, Xiaolong Gu, Yingfei Qu, Linfa Qu (2021). Prediction of Potentially Suitable Distributions of Codonopsis pilosula in China Based on an Optimized MaxEnt Model. Frontiers in Ecology and Evolution.DOI
293. Qin Hang, Heng Zhang, Dalong Chen, Yao Huang, Bingjia Xiao, Biao Shen, Guoyin Wang, Weisheng Li (2021). Development of High-Speed Image Acquisition and Processing System for Real-Time Plasma Control on EAST. IEEE Transactions on Plasma Science.DOI
294. Yingxu Wang, Bernard Carlos Widrow, Witold Pedrycz, Robert C. Berwick, Paolo Soda, Sam Kwong, Okyay Kaynak, Carlo S. Regazzoni, Christine W. Chan, Marina L. Gavrilova, Guoyin Wang (2021). IEEE ICCI*CC Series in Year 20: Latest Advances in Cognitive Informatics and Cognitive Computing towards General AI (Plenary Panel Report-I). IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).DOI
295. Bin Xiao, Zeyu Yang, Xiaoming Qiu, Jingjing Xiao, Guoyin Wang, Wenbing Zeng, Weisheng Li, Yongjian Nian, Wei Chen (2021). PAM-DenseNet: A Deep Convolutional Neural Network for Computer-Aided COVID-19 Diagnosis. IEEE Transactions on Cybernetics.DOI
296. Meriem Romaissa Boubakeur, Guoyin Wang (2021). Self-Relative Evaluation Framework for EEG-Based Biometric Systems. Sensors.DOI
297. Ming Yuan, Qun Liu, Guoyin Wang, Yike Guo (2021). HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference. Lecture notes in computer science.DOI
298. 杨洁，王国胤，李帅（2020）. 基于边界域的邻域知识距离度量模型. 《计算机科学》.
299. 王国胤，瞿中，赵显莲（2020）. 交叉融合的“人工智能+”学科建设探索与实践. 《计算机科学》.
300. 于洪，何德牛，王国胤，李劼，谢永芳（2020）. 大数据智能决策. 《自动化学报》.DOI
301. 魏居明，于洪，王国胤，黄诚（2020）. 基于三支聚类的加热炉钢温软预测模型. 《第31届中国过程控制会议（CPCC 2020）》.DOI
302. 杨洁，王国胤，张清华（2020）. 基于知识距离的粗糙粒结构的评价模型. 《智能系统学报》.
303. 陈艳，胡军，张清华，王国胤（2020）. 多尺度集值信息系统及其最优尺度选择（英文）. 《山西大学学报(自然科学版)》.DOI
304. Jie Yang, Guoyin Wang, Shuai Li（2020）. 基于边界域的邻域知识距离度量模型 (Neighborhood Knowledge Distance Measure Model Based on Boundary Regions). 《计算机科学》.DOI
305. Shuyin Xia, Daowan Peng, De-Yu Meng, Changqing Zhang, Guoyin Wang, Elisabeth Giem, Wei Wei, Zi-Zhong Chen (2020). Ball <inline-formula><tex-math notation="LaTeX">$k$</tex-math><alternatives><mml:math><mml:mi>k</mml:mi></mml:math><inline-graphic xlink:href="xia-ieq1-3008694.gif"/></alternatives></inline-formula>-Means: Fast Adaptive Clustering With No Bounds. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
306. Yun-Long Cheng, Qinghua Zhang, Guoyin Wang, Bao-Qing Hu (2020). Optimal scale selection and attribute reduction in multi-scale decision tables based on three-way decision. Information Sciences.DOI
307. Peisen Li, Guoyin Wang, Jun Hu, Yun Li (2020). Multi-granularity Complex Network Representation Learning. IJCRS.DOI
308. Yun-Long Cheng, Qinghua Zhang, Guoyin Wang (2020). Optimal scale combination selection for multi-scale decision tables based on three-way decision. International Journal of Machine Learning and Cybernetics.DOI
309. Xinyang Liu, Hong Yu, Guoyin Wang, Lei Guo (2020). A multi-criteria ordered clustering algorithm based on PROMETHEE.DOI
310. Qinghua Zhang, Zhi-Kang Huang, Guoyin Wang (2020). A novel sequential three-way decision model with autonomous error correction. Knowledge-Based Systems.DOI
311. Shuyin Xia, Wenhua Li, Guoyin Wang, Xin-Bo Gao, Changqing Zhang, Elisabeth Giem (2020). LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection. arXiv.org.
312. Shuyin Xia, Daowan Peng, De-Yu Meng, Changqing Zhang, Guoyin Wang, Zi-Zhong Chen, Wei Wei (2020). Ball k-means. arXiv.org.
313. Zhenhua Li, Ke Liu, Xin Deng, Guoyin Wang (2020). Spatial fusion of maximum signal fraction analysis for frequency recognition in SSVEP-based BCI. Biomedical Signal Processing and Control.DOI
314. 谢秦，张清华，王国胤（2019）. 基于相似度量的自适应三支垃圾邮件过滤器. 《计算机研究与发展》.
315. 杨洁，王国胤，张清华，冯林（2019）. 层次粒结构下粗糙模糊集的不确定性度量. 《计算机科学》.
316. 王国胤，刘群，夏英，胡军，马彬，纪良浩（2019）. 大数据与智能化领域新工科创新人才培养模式探索. 《中国大学教学》.
317. 王国胤，于洪（2019）. 多粒度认知计算——一种大数据智能计算的新模型. 《数据与计算发展前沿》.
318. Binggui Wang, Shuyin Xia, Hong Yu, Guoyin Wang (2019). A Fast Relative Density Method Based on Space Partitioning. International Conference on Big Knowledge.DOI
319. Caoxiao Li, Shuyin Xia, Zi-Zhong Chen, Guoyin Wang (2019). A Multi-granularity Genetic Algorithm. International Conference on Big Knowledge.DOI
320. Changlin Xu, Guoyin Wang (2019). Bidirectional Cognitive Computing Model for Uncertain Concepts. Cognitive Computation.DOI
321. Junwu Yu, Shuyin Xia, Guoyin Wang (2019). Edge Sign Prediction Based on Orthogonal Graph Regularized Nonnegative Matrix Factorization for Transfer Learning. International Conference on Big Knowledge.DOI
322. Qinghua Zhang, Chenchen Yang, Guoyin Wang (2019). A Sequential Three-Way Decision Model With Intuitionistic Fuzzy Numbers. IEEE Transactions on Systems, Man & Cybernetics. Systems.DOI
323. 孙作雨，于洪，王国胤（2018）. 基于TOPSIS的三支决策评价模型. 《数据采集与处理》.
324. 王国胤，刘群，于洪，曾宪华（2018）. 大数据挖掘及应用. 《科技与出版》.
325. 杨洁，王国胤，庞紫玲（2018）. 基于密度峰值的云变换加速机制. 《小型微型计算机系统》.
326. 苟光磊，王国胤（2018）. 置信优势关系粗糙集的属性约简方法. 《小型微型计算机系统》.
327. 杨洁，王国胤，张清华，冯林（2018）. 多粒度云模型的相似性度量. 《模式识别与人工智能》.
328. 杨洁，王国胤，刘群，郭毅可，刘悦，淦文燕，刘玉超（2018）. 正态云模型研究回顾与展望. 《计算机学报》.
329. 王国胤，李帅，杨洁（2018）. 知识与数据双向驱动的多粒度认知计算. 《西北大学学报(自然科学版)》.
330. 王国胤（2018）. 大数据智能计算. 《中国建设信息化》.
331. 刘旋，王国胤，罗小波（2017）. 基于高斯云变换的遥感图像多粒度聚类. 《计算机科学》.
332. 王飞，王国胤，李智星，彭思源（2017）. 一种基于网格的密度峰值聚类算法. 《小型微型计算机系统》.
333. 王国胤（2017）. 大数据时代的人工智能. 《信息化建设》.
334. 杨洁，王国胤，王飞（2017）. 基于密度峰值的网格聚类算法. 《计算机应用》.
335. 王国胤，刘群，夏英，胡军，于洪（2017）. 大数据创新人才培养模式的探索与思考. 《计算机教育》.
336. 杨洁，王国胤，庞紫玲（2017）. 密度峰值聚类相关问题的研究. 《南京大学学报(自然科学)》.
337. Guoyin Wang, A. Skowron, Yi-Yu Yao, D. Ślȩzak, L. Polkowski (2017). Thriving Rough Sets.DOI
338. Qinghua Zhang, Shuai-Hua Yang, Guoyin Wang (2017). Measuring Uncertainty of Probabilistic Rough Set Model From Its Three Regions. IEEE Transactions on Systems, Man & Cybernetics. Systems.DOI
339. Guoyin Wang (2017). The Born and Growing of Chinese Rough Set Community with Help of Professor Zdzisław Pawlak.DOI
340. 王国胤，孙富春，马华东，蒋田仔（2016）. 迎接智能时代——“人工智能”专刊篇首语. 《计算机科学》.
341. 何菲菲，王国胤，刘旋（2016）. 基于云模型和空间信息的多粒度彩色图像分割. 《小型微型计算机系统》.
342. 李美争，王国胤（2016）. 三支近似概念格中基于对象-概念辨识矩阵的属性约简方法. 《控制与决策》.DOI
343. 苟光磊，王国胤（2016）. 基于不协调置信优势原理关系的知识约简. 《计算机科学》.
344. 赵佳，肖斌，李伟生，王国胤（2016）. 基于自适应云模型的多模态脑部图像融合方法. 《计算机科学》.
345. 苟光磊，王国胤（2016）. 基于置信优势关系粗糙集的近似集动态更新方法. 《控制与决策》.DOI
346. 苟光磊，王国胤（2016）. 对象集变化置信优势关系粗糙集近似集动态更新方法. 《小型微型计算机系统》.
347. 熊冰妍，王国胤，邓维斌（2016）. 基于样本权重的不平衡数据欠抽样方法. 《计算机研究与发展》.
348. 刘群，王国胤，于洪，夏英（2016）. 结合在线课程教育的课堂教学实践探讨——以数据挖掘基础课程为例. 《计算机教育》.
349. 王国胤（2016）. 大数据的多粒度智能认知分析与决策. 《重庆理工大学学报(自然科学)》.
350. 苗夺谦，张清华，钱宇华，梁吉业，王国胤，吴伟志，高阳，商琳，顾沈明，张红云（2016）. 从人类智能到机器实现模型——粒计算理论与方法. 《智能系统学报》.
351. Yang Tian, Guoyin Wang, Jian-Jun Xu, Ji Xu (2016). A granular computing method for nonlinear convection-diffusion equation.DOI
352. Guanglei Gou, Guoyin Wang（2016）. 基于不协调置信优势原理关系的知识约简 (Approach to Knowledge Reduction Based on Inconsistent Confidential Dominance Principle Relation). 《计算机科学》.DOI
353. 刘力凯，王国胤，邓维斌（2015）. 优势关系粗糙集的移动用户换机预测方法. 《小型微型计算机系统》.
354. 徐计，王国胤，于洪（2015）. 基于粒计算的大数据处理. 《计算机学报》.
355. 胡军，夏英，王国胤（2015）. 基于能力拓展目标的计算机课程改革策略. 《黑龙江教育(高教研究与评估)》.
356. 于洪，王国胤，姚一豫（2015）. 决策粗糙集理论研究现状与展望. 《计算机学报》.
357. 邓欣，王进，于洪，王国胤，陈桥松（2015）. 开源硬件在“智能机器人”实践课程中的应用. 《计算机教育》.
358. 熊冰妍，王国胤，邓维斌（2015）. 分级式代价敏感决策树及其在手机换机预测中的应用. 《山东大学学报(工学版)》.
359. 张清华，王进，王国胤（2015）. 粗糙模糊集的近似表示. 《计算机学报》.
360. 胡军，夏英，王国胤（2015）. 讨论式教学实施的困境与对策. 《计算机教育》.
361. 许昌林，王国胤（2014）. 正态云概念的漂移性度量及分析. 《计算机科学》.
362. 苟光磊，王国胤，利节，吴迪（2014）. 基于置信优势关系的粗糙集近似模型. 《控制与决策》.
363. 邓维斌，王国胤，胡峰（2014）. 基于优势关系粗糙集的自主式学习模型. 《计算机学报》.
364. 苟光磊，王国胤，李鸿（2014）. 基于优势关系粗糙集的动态容错分级决策模型. 《西南交通大学学报》.
365. 严胡勇，王国胤，张学睿，张帆，封雷，田亚兰（2014）. 粗糙集理论在水质富营养化分级指标权重确定中的应用. 《第二届全国流域生态保护与水污染控制研讨会》.
366. 尚凤军，夏英，王国胤，谢显中（2014）. 校企合作的计算机网络实验平台. 《计算机教育》.
367. Qinghua Zhang, Jin Wang, Guoyin Wang, Feng Hu (2014). Approximation Set of the Interval Set in Pawlak's Space. TheScientificWorldJournal.DOI
368. 郭庆文，王国胤，张清华（2013）. 多粒度的图像检索方法研究. 《计算机科学》.
369. 许昌林，王国胤（2013）. 实现稳定双向认知映射的逆向云变换算法. 《模式识别与人工智能》.
370. 姚红，王国胤，张清华（2013）. 基于粗糙集和云模型的彩色图像分割方法. 《小型微型计算机系统》.
371. 徐计，王国胤（2013）. 基于粒计算的大数据处理研究. 《第十一届全国博士生学术年会——信息技术与安全专题》.
372. 刘群，王国胤，吴思远（2013）. 研究型课程教学模式探讨. 《计算机教育》.
373. Hong Li, Guoyin Wang, Guanglei Gou, Wen Liu (2013). Boundary Variable Precision Dominance-Based Rough Set Approach in Multicriteria Sorting Problems.DOI
374. 闫新宝，王国胤，张清华（2012）. 基于概率的有序信息系统. 《计算机科学》.
375. 张清华，王国胤，刘显全（2012）. 基于最大粒的规则获取算法. 《模式识别与人工智能》.
376. 官礼和，王国胤，胡峰（2012）. 一种基于属性序的决策规则挖掘算法. 《控制与决策》.
377. 张清华，王国胤，肖雨（2012）. 粗糙集的近似集. 《软件学报》.
378. Qinghua Zhang, Guoyin Wang, Yu Xiao (2012). Approximation Sets of Rough Sets: Approximation Sets of Rough Sets.DOI
379. 曹智方，王国胤，申元霞（2011）. 一种动态学习对象的粒子群优化算法. 《计算机工程》.
380. 申元霞，王国胤，曾传华（2011）. PSO模型种群多样性与学习参数的关系研究. 《电子学报》.
381. 申元霞，王国胤（2011）. 粒子群优化算法的概率特性分析及算法改进. 《控制与决策》.
382. 夏英，张俊，王国胤（2011）. 时空关联规则挖掘算法及其在ITS中的应用. 《计算机科学》.
383. 邓维斌，王国胤，洪智勇（2011）. 基于粗糙集的加权朴素贝叶斯邮件过滤方法. 《计算机科学》.
384. Qinghua Zhang, Guoyin Wang (2011). The Uncertainty Measure of Hierarchical Quotient Space Structure.DOI
385. 官礼和，王国胤（2010）. 决策表属性约简集的增量式更新算法. 《计算机科学与探索》.
386. 胡军，王国胤（2010）. 粗糙集的不确定性度量准则. 《模式识别与人工智能》.
387. 胡峰，王国胤（2010）. 基于分治法的快速确定规则获取算法. 《模式识别与人工智能》.
388. Yuan Yuan, Guoyin Wang (2010). Facilitating the interactions among reasoning components by multiple agents. International Conference on Information Management and Engineering.DOI
389. Guoyin Wang (2010). Transformation between a concept knowledge granule and aconcept information granule. Journal of Shandong University.
390. Chang Su, Jiefang Deng, Yong Yang, Guoyin Wang (2010). Expression Recognition Methods Based on Feature Fusion. Lecture notes in computer science.DOI
391. Ying Jie Xia, Guoyin Wang, Xu Zhang, Gyoung-Bae Kim, Hae-Young Bae (2010). Research of Spatio-temporal Similarity Measure on Network Constrained Trajectory Data. Lecture notes in computer science.DOI
392. Yinghu Huang, Guoyin Wang, Yuanxiang Tang (2010). Bottleneck Attack Strategies on Complex Communication Networks. Lecture notes in computer science.DOI
393. Yuanxia Shen, Guoyin Wang (2010). Study on the Local Search Ability of Particle Swarm Optimization. Lecture notes in computer science.DOI
394. Guoyin Wang, Jun Hu (2010). Extension of Covering Approximation Space and Its Application in Attribute Reduction. Lecture notes in computer science.DOI
395. Yinghu Huang, Guoyin Wang (2010). Structure Analysis of Email Networks by Information-Theoretic Clustering. Lecture notes in computer science.DOI
396. 冯林，王国胤，李天瑞（2009）. 连续值属性决策表中的知识获取方法. 《电子学报》.
397. 肖大伟，王国胤，胡峰（2009）. 一种基于粗糙集理论的快速并行属性约简算法. 《计算机科学》.
398. Guoyin Wang (2009). Fuzziness of covering based generalized rough sets. Journal of Chongqing University of Posts and Telecommunications.
399. Tianrui Li, Guoyin Wang (2009). Computational Intelligence in Knowledge Technology. International Journal of Computational Intelligence Systems.DOI
400. Qinghua Zhang, Guoyin Wang, Xiao Ma, Xiaoxing He (2009). THE INFORMATION ENTROPY SEQUENCE OF HIERARCHICAL STRUCTURE.DOI
401. Peng Paul Wen, Yuefeng Li, Lech Polkowski, Yiyu Y. Yao, Shusaku Tsumoto, Guoyin Wang (2009). Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology.
402. Jian Zhou, Guoyin Wang, Yong Yang (2009). Important Attributes Selection Based on Rough Set for Speech Emotion Recognition. International Journal of Cognitive Informatics and Natural Intelligence.DOI
403. Jun Hua Zhao, Guoyin Wang (2009). System Uncertainty Based Data-Driven Knowledge Acquisition. International Journal of Software Science and Computational Intelligence.DOI
404. Guoyin Wang, Qinghua Zhang (2009). Granular Computing based cognitive computing. IEEE International Conference on Cognitive Informatics.DOI
405. Yingxu Wang, George Baciu, Yiyu Y. Yao, Bo Zhang, Witold Kinsner, Chu-Ren Hunag, Keith C. C. Chan, Ben Goertzel, Duoqian Miao, Kenji Sugawara, Guoyin Wang, Jane You, Du Zhang, Ning Zhong, Haibin Zhu (2009). Perspectives on Cognitive Informatics and Cognitive Computing: Summary of the Panel of IEEE ICCI'09. IEEE International Conference on Cognitive Informatics.DOI
406. Guoyin Wang, Yan Wang (2009). 3DM: Domain-oriented Data-driven Data Mining. Fundamenta Informaticae.DOI
407. Jun Hu, Guoyin Wang (2009). Knowledge Reduction of Covering Approximation Space. Lecture notes in computer science.DOI
408. Yong Yang, Guoyin Wang, Hao Kong (2009). Self‐Learning Facial Emotional Feature Selection Based on Rough Set Theory. Mathematical Problems in Engineering.DOI
409. Xun Gong, Guoyin Wang, Lili Xiong (2009). Single 2D Image-based 3D Face Reconstruction and Its Application in Pose Estimation. Fundamenta Informaticae.DOI
410. Guoyin Wang (2009). KT: Knowledge Technology — The Next Step of Information Technology (IT). Lecture notes in computer science.DOI
411. Guoyin Wang (2009). 3D Human Face Modeling Based on Facial Shape Knowledge. Jisuanji fangzhen.
412. Guoyin Wang (2009). Face Recognition Based on Dynamic Principal Component Subspace.
413. Guoyin Wang (2009). Coordination model of component driven by service ontology. Computer Engineering and Applications Journal.
414. 朱振国，王国胤（2008）. Vague集相似度量. 《计算机科学》.
415. 赵彦钧，王国胤，胡峰（2008）. 数据驱动的可变精度粗糙集噪音阈值获取方法. 《计算机科学》.
416. 朱小飞，陈龙，王国胤（2008）. 基于交叉分组技术的集成算法研究. 《计算机科学》.
417. 张清华，王国胤，刘显全（2008）. 分层递阶的模糊商空间结构分析. 《模式识别与人工智能》.
418. 陈娟，王国胤，胡军（2008）. 优势关系下不协调信息系统的正域约简. 《计算机科学》.
419. Feng Hu, Guoyin Wang (2008). Huge Data Mining Based on Rough Set Theory and Granular Computing. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).DOI
420. Guoyin Wang, Lihe Guan, Feng Hu (2008). Rough set extensions in incomplete information systems. Frontiers of Electrical and Electronic Engineering in China.DOI
421. Guoyin Wang, Qinghua Zhang, Houkuan Huang, Dongyi Ye, Qinghua Hu, Xuegang Hu, Zhongzhi Shi, Yongli Li, Lin Shang, Liping An, Ying Sai, Shanben Chen, Jiye Liang, Keyun Qin, Huanglin Zeng, Keming Xie, Duoqian Miao, Fan Min, Zhaocong Wu, Wei-Zhi Wu, Jianhua Dai (2008). Research on Rough Set Theory and Applications in China. Transactions on rough sets.DOI
422. Kun He, Guoyin Wang, Yong Yang (2008). Optical flow-based facial feature tracking using prior measurement. IEEE International Conference on Cognitive Informatics.DOI
423. Guoyin Wang, Jun Hu, Qinghua Zhang, Xianquan Liu, Jiaqing Zhou (2008). Granular computing based data mining in the views of rough set and fuzzy set. IEEE International Conference on Granular Computing (GrC).DOI
424. Xianquan Liu, Guoyin Wang, Qinghua Zhang, Jun Hu, Jiaqing Zhou (2008). Quick building of fuzzy equivalence matrix in granular computing. IEEE International Conference on Granular Computing (GrC).DOI
425. Guoyin Wang, Tianrui Li, Jerzy W. Grzymala‐Busse, Duoqian Miao, Andrzej Skowron, Yiyu Y. Yao (2008). Proceedings of the 3rd international conference on Rough sets and knowledge technology.
426. Feng Hu, Guoyin Wang, Lin Feng (2008). Fast Knowledge Reduction Algorithms Based on Quick Sort. Springer eBooks.DOI
427. Xun Gong, Guoyin Wang (2008). A Novel Deformation Framework for Face Modeling from a Few Control Points. Springer eBooks.DOI
428. Guoyin Wang (2008). Introduction to 3DM: Domain-Oriented Data-Driven Data Mining. Springer eBooks.DOI
429. Long Chen, Guoyin Wang (2008). General finite state machine reasoning method for digital forensics. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
430. Long Chen, Guoyin Wang (2008). An Efficient Piecewise Hashing Method for Computer Forensics.DOI
431. Yong Liu, Guoyin Wang, Lin Feng (2008). A General Model for Transforming Vague Sets into Fuzzy Sets. Lecture notes in computer science.DOI
432. Yingxu Wang, Yiyu Y. Yao, Guoyin Wang (2008). Perspectives on Denotational Mathematics: New Means of Thought. Lecture notes in computer science.DOI
433. Hutchison, David, Yiyu Y. Yao, Weikum, Gerhard, Yingxu Wang, Guoyin Wang, Vardi, Moshe Y, Tygar, Doug, Terzopoulos, Demetri, C. J. Kenneth Tan, Sudan, Madhu, Steffen, Bernhard, Pandu Rangan, C, Nierstrasz, Oscar, Naor, Moni, Mitchell, John C, Mattern, Friedemann, Kleinberg, Jon M, Kittler, Josef, Kanade, Takeo, Marina L. Gavrilova (2008). Transactions on Computational Science II. Lecture notes in computer science.DOI
434. Hong Zhi Yu, Guoyin Wang, Fakuan Lan (2008). Solving the Attribute Reduction Problem with Ant Colony Optimization. Lecture notes in computer science.DOI
435. Guoyin Wang (2008). Facial feature extraction based on curvature and texture. Journal of Chongqing University of Posts and Telecommunications.
436. Yong Yang, Guoyin Wang, Fei Luo, Zhenjing Li (2008). A Data Driven Emotion Recognition Method Based on Rough Set Theory. Lecture notes in computer science.DOI
437. Guoyin Wang (2008). Collaborative filtering based on item content. Computer Engineering and Applications Journal.
438. Guoyin Wang (2008). Study on recommendation model of collaborative filtering based on user. Jisuanji gongcheng yu sheji.
439. 胡峰，代劲，王国胤（2007）. 一种决策表增量属性约简算法. 《控制与决策》.
440. 邓维斌，王国胤，王燕（2007）. 基于Rough Set的加权朴素贝叶斯分类算法. 《计算机科学》.
441. 王燕，王国胤，邓维斌（2007）. 基于概念格的数据驱动不确定知识获取. 《模式识别与人工智能》.
442. Yi Han, Guoyin Wang, Yong An Yang, Kun He (2007). An audiovisual emotion recognition system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
443. Xun Gong, Guoyin Wang (2007). Realistic face modeling based on multiple deformations. 《中国邮电高校学报：英文版》.DOI
444. Guoyin Wang (2007). Domain-Oriented Data-Driven Data Mining (3DM): Simulation of Human Knowledge Understanding. Springer eBooks.DOI
445. Guoyin Wang, Feng Hu (2007). Quick Knowledge Reduction Based on Divide and Conquer Method in Huge Data Sets. Springer eBooks.DOI
446. Xun Gong, Guoyin Wang (2007). A Dynamic Component Deforming Model for Face Shape Reconstruction. Springer eBooks.DOI
447. Qinghua Zhang, Guoyin Wang, Jun Hu, Hai-Tao Teng (2007). Approximation Partition Spaces of Covering Space. IEEE International Conference on Granular Computing (GrC).DOI
448. Jun Hu, Guoyin Wang, Ang Fu (2007). Knowledge Reduction of Covering Approximation Space. IEEE International Conference on Cognitive Informatics.DOI
449. Zheng Zheng, Guoyin Wang, Yu Chuan Wu (2007). A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithm. Springer eBooks.DOI
450. Qiusheng An, Guoyin Wang, Junyi Shen, Jiucheng Xu (2007). Querying Data from RRDB Based on Rough Sets Theory. Springer eBooks.DOI
451. Feng Hu, Guoyin Wang, Ying Xia (2007). Attribute Core Computation Based on Divide and Conquer Method. Lecture notes in computer science.DOI
452. Yong Yang, Guoyin Wang, Kun He (2007). An Approach for Selective Ensemble Feature Selection Based on Rough Set Theory. Springer eBooks.DOI
453. Yong Yang, Guoyin Wang, Peijun Chen, Jian Zhou, Kun He (2007). Feature Selection in Audiovisual Emotion Recognition Based on Rough Set Theory. Springer eBooks.DOI
454. Guoyin Wang (2007). Incremental algorithms for attribute reduction in decision table. Kongzhi yu juece.
455. Ying Jie Xia, Guoyin Wang, Song Gao (2007). An Efficient Clustering Algorithm for 2D Multi-density Dataset in Large Database. International Conference on Multimedia and Ubiquitous Engineering (MUE).DOI
456. Guoyin Wang (2007). English Texts Categorization in Two Steps. Journal of Guangxi Normal University.
457. Guoyin Wang (2007). Fusing heterogeneous event logs into scenarios for forensics. Journal of Chongqing University of Posts and Telecommunications.
458. 龚勋，王国胤（2006）. 对代数观Rough集理论的信息观解释. 《计算机科学》.
459. 覃政仁，吴渝，王国胤（2006）. 一种基于RoughSet的海量数据分割算法. 《模式识别与人工智能》.
460. Jun Hu, Guoyin Wang, Qinghua Zhang (2006). Uncertainty Measure of Covering Generated Rough Set.DOI
461. Qinghua Zhang, Guoyin Wang, Jun Hu, Xianquan Liu (2006). Incomplete Information Systems Processing Based on Fuzzy-Clustering.DOI
462. Xun Gong, Guoyin Wang (2006). An Automatic Approach for Pixel-wise Correspondence between 3D Faces. International Conference on Hybrid Information Technology (ICHIT).DOI
463. Jian Zhou, Guoyin Wang, Yong Yang, Peijun Chen (2006). Speech Emotion Recognition Based on Rough Set and SVM. IEEE International Conference on Cognitive Informatics.DOI
464. Quan Gan, Guoyin Wang, Jun Hu (2006). A self-learning model based on granular computing. IEEE International Conference on Granular Computing (GrC).DOI
465. Wenbin Qiu, Yu Chuan Wu, Guoyin Wang, Simon X. Yang, Jie Bai, Jieying Li (2006). A novel unsupervised anomaly detection based on robust principal component classifier. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
466. Jie Bai, Yu Chuan Wu, Guoyin Wang, Simon X. Yang, Wenbin Qiu (2006). A Novel Intrusion Detection Model Based on Multi-layer Self-Organizing Maps and Principal Component Analysis. Lecture notes in computer science.DOI
467. Peijun Chen, Guoyin Wang, Yong Yang, Jian Zhou (2006). Facial Expression Recognition Based on Rough Set Theory and SVM. Lecture notes in computer science.DOI
468. Guoyin Wang (2006). Research and application of text classification based on incomplete information system. Journal of Chongqing University of Posts and Telecommunications.
469. Xun Gong, Guoyin Wang (2006). Automatic 3D Face Segmentation Based on Facial Feature Extraction. IEEE International Conference on Industrial Technology (ICIT).DOI
470. Zhe Yuan, Yu Chuan Wu, Guoyin Wang, Jianbo Li (2006). Motion-Information-Based Video Retrieval System Using Rough Pre-classification. Lecture notes in computer science.DOI
471. Jun Hu, Guoyin Wang, Qinghua Zhang, Xianquan Liu (2006). Attribute Reduction Based on Granular Computing. Lecture notes in computer science.DOI
472. Yong Liu, Guoyin Wang, Lin Feng (2006). A General Model for Transforming Vague Sets into Fuzzy Sets. Lecture notes in computer science.DOI
473. Lin Feng, Guoyin Wang, Yong Liu, Zhenguo Zhu (2006). Knowledge Acquisition in Vague Objective Information Systems. Lecture notes in computer science.DOI
474. Jun Hua Zhao, Guoyin Wang (2006). Research on System Uncertainty Measures Based on Rough Set Theory. Lecture notes in computer science.DOI
475. 黄海，王国胤，吴渝（2005）. 一种不完备信息系统的直接约简方法. 《小型微型计算机系统》.
476. 王国胤，安久江，吴渝（2005）. Rough集理论代数观与信息观的差异量化分析. 《小型微型计算机系统》.
477. 胡峰，黄海，王国胤，吴渝（2005）. 不完备信息系统的粒计算方法. 《小型微型计算机系统》.
478. Yong Chen, Guoyin Wang (2005). On the Fast Convergence of Generalized Congruence Neural Network. International Conference on Neural Networks and Brain.DOI
479. Yong Yang, Guoyin Wang (2005). An Evaluation Model for Web-Based Learning Support Systems.DOI
480. Desheng Yin, Guoyin Wang, Yu Chuan Wu (2005). Data-driven decision tree learning algorithm based on rough set theory.DOI
481. Yong J. Hai, Yu Chuan Wu, Guoyin Wang (2005). An improved unsupervised clustering-based intrusion detection method. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
482. De-Sheng Yin, Guoyin Wang, Yu Wu (2005). A self-learning algorithm for decision tree pre-pruning.DOI
483. Feng Hu, Guoyin Wang, Hai Huang, Yu Chuan Wu (2005). Incremental Attribute Reduction Based on Elementary Sets. Lecture notes in computer science.DOI
484. Jiu-Jiang An, Guoyin Wang, Yu Chuan Wu, Quan Gan (2005). A rule generation algorithm based on granular computing. IEEE International Conference on Granular Computing (GrC).DOI
485. Simon X. Yang, Xiaochuan Wang, Guoyin Wang, Max Q.‐H. Meng (2005). AN EMBEDDED GENETIC FUZZY MOTION CONTROLLER FOR A MOBILE ROBOT. IFAC Proceedings Volumes.DOI
486. Yong Hui Chen, Guoyin Wang, Fan Jin, Tianyun Yan (2005). A Novel Generalized Congruence Neural Networks. Lecture notes in computer science.DOI
487. Guoyin Wang (2005). Audit data analyzing approach for security audit system. Journal of Chongqing University of Posts and Telecommunications.
488. Zhe Yuan, Yu Chuan Wu, Guoyin Wang, Jianbo Li (2005). A Global-Motion Analysis Method via Rough-Set-Based Video Pre-classification. Lecture notes in computer science.DOI
489. 安秋生，沈钧毅，王国胤（2004）. Rough函数依赖及其推理机制. 《小型微型计算机系统》.
490. 李志君，王国胤，吴渝（2004）. 基于Rough Set的电子邮件分类系统. 《计算机科学》.
491. 赵军，王国胤，吴中福，唐宏，李华（2004）. 基于粗集理论的数据离散化方法. 《小型微型计算机系统》.
492. Guoyin Wang, Jun Zhao, Jiu-Jiang An, Yu Chuan Wu (2004). Theoretical study on attribute reduction of rough set theory: comparison of algebra and information views. IEEE International Conference on Cognitive Informatics.DOI
493. Hai Huang, Guoyin Wang, Yu Chuan Wu (2004). A direct approach for incomplete information systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
494. Zhijun Li, Yu Chuan Wu, Guoyin Wang, Yong J. Hai, Yunpeng He (2004). A new framework for intrusion detection based on rough set theory. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
495. Zhengren Qin, Guoyin Wang, Yu Chuan Wu, Xiaorong Xue (2004). A Scalable Rough Set Knowledge Reduction Algorithm. Lecture notes in computer science.DOI
496. Jiucheng Xu, Junyi Shen, Guoyin Wang (2004). Rough Set Theory Analysis on Decision Subdivision. Lecture notes in computer science.DOI
497. Jiu-Jiang An, Guoyin Wang, Yu Chuan Wu (2004). A Learning Algorithm for Multiple Rule Trees.
498. 安秋生，沈钧毅，王国胤（2003）. 基于信息粒度与Rough集的聚类方法研究. 《模式识别与人工智能》.
499. 徐久成，沈钧毅，王国胤（2003）. Rough集之间的相似度量. 《计算机科学》.
500. 赵军，王国胤，吴中福，唐宏，李华，廖晓锋（2003）. 一种高效的属性核计算方法. 《小型微型计算机系统》.
501. Zheng Zheng, Guoyin Wang, Yu Chuan Wu (2003). Objects' combination based simple computation of attribute core. IEEE International Symposium on Intelligent Control.DOI
502. Guoyin Wang (2003). Extension of rough set under incomplete information systems. Proceedings of ... IEEE International Conference on Fuzzy Systems.DOI
503. Guoyin Wang, Zheng Zheng, Yi Zhang (2003). RIDAS - a rough set based intelligent data analysis system. International Conference on Machine Learning and Cybernetics.DOI
504. Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang (2003). Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing.
505. Guoyin Wang (2003). Rough reduction in algebra view and information view. International Journal of Intelligent Systems.DOI
506. Guoyin Wang (2003). Relationship between the algebra view and information view of rough set. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
507. Guoyin Wang, Xiao Yang He (2003). Initiative learning algorithm based on rough set. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
508. Yu Chuan Wu, Zhijun Li, Ping Luo, Guoyin Wang (2003). New anti-spam filter based on data mining and analysis of email security. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
509. Guoyin Wang, Andrzej Skowron, Yiyu Y. Yao, Qing Liu (2003). Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. Lecture notes in computer science.DOI
510. 安秋生，徐久成，沈钧毅，王国胤（2002）. Rough关系数据库模型及其关系操作. 《计算机科学》.
511. 赵军，王国胤，吴中福，唐宏，李华，廖晓锋（2002）. 基于粗集理论的特征子集选择算法. 《计算机科学》.
512. 王国胤（2002）. Rough集理论在不完备信息系统中的扩充. 《计算机研究与发展》.
513. Guoyin Wang, Yu Wu, Feixu Liu (2002). Generating rules and reasoning under inconsistencies. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society.DOI
514. Hong Zhi Yu, Guoyin Wang, Yang Da-chun, Zhongfu Wu (2002). Knowledge reduction algorithms based on rough set and conditional information entropy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
515. Guoyin Wang (2002). Attribute Core of Decision Table. Lecture notes in computer science.DOI
516. Guoyin Wang (2001). Algebra view and information view of rough sets theory. SPIE Defense + Commercial Sensing.DOI
517. Guoyin Wang, Feng Liu (2001). The Inconsistency in Rough Set Based Rule Generation. Lecture notes in computer science.DOI
518. 侯利娟，王国胤，聂能，吴渝（2000）. 粗糙集理论中的离散化问题. 《计算机科学》.
519. Guoyin Wang, Yu Chuan Wu, Paul S. Fisher (2000). Rule generation based on rough set theory. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
520. Guoyin Wang, Paul S. Fisher (2000). Knowledge acquisition: neural network learning. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
521. 王国胤（1999）. 基于神经网络的符号知识获取方法. 《计算机工程与科学》.
522. Guoyin Wang, Paul S. Fisher (1999). A novel logical neuron model. International Journal of Intelligent Systems.DOI
523. Guoyin Wang, Hongbao Shi (1998). TMLNN: triple-valued or multiple-valued logic neural network. IEEE Transactions on Neural Networks.DOI
524. Ye Li, Lei Yang, Bin-Bin Sang, Guoyin Wang. Multi-granularity Granular-ball Anchor Graph Custering with self-weighting. Information Processing & Management.DOI

会议论文

1. Yong Yang, Guoyin Wang, Peijun Chen (2006). An Emotion Recognition System Based on Rough Set Theory. Active Media Technology.

预印本

1. Jia Hu, Mingxiang Lan, Chen Sun, Qinghua Zhang, Guoyin Wang (2026). CAAP: A Class-Aware Adversarial Purification Method for Unknown Attacks. SSRN Electronic Journal.DOI
2. Yan Yang, Wenyan Shu, Yuzhen Li, Hong Yu, Guoyin Wang, Fujin Zhong (2026). Optimality Conditions Guided Feature Transfer Learning for Composite System Reliability Evaluation. SSRN Electronic Journal.DOI
3. xiaoxia zhang, Guangyao Wang, Yi Chen, Wenzhi Yang, Guoyin Wang (2025). What Type of Distribution is More Suitable for Vae: Extraction and Verification in Time Series Anomaly Detection. SSRN Electronic Journal.DOI
4. xiaoxia zhang, Wenzhi Yang, Guangyao Wang, Yi Chen, Guoyin Wang (2025). Hlead: A Fast and Robust Hidden Layer Enhanced Transformer Autoencoder for Multivariate Time Series Anomaly Detection. SSRN Electronic Journal.DOI
5. Qin Xie, Qinghua Zhang, Chengxin Hong, Junjie Zhu, Guoyin Wang (2025). Three-Way Conflict Management Method with Fuzzy Linguistic Evaluation For Multi-Attribute Group Decision-Making. SSRN Electronic Journal.DOI
6. Dawei Dai, YuTang Li, Yunxiang Liu, Jia, Mingming, Yuanhui Zhang, Guoyin Wang (2024). 15M Multimodal Facial Image-Text Dataset. arXiv (Cornell University).DOI
7. Jie ming Yang, Lingyun Xiaodiao, Guoyin Wang, Witold Pedrycz, Shuyin Xia, Qinghua Zhang, Di Wu (2024). A robust three-way classifier with shadowed granular-balls based on justifiable granularity. arXiv (Cornell University).DOI
8. Zhiguang He, Zi Li, Hongyu Long, Guoyin Wang, Zhen Li (2024). An Energy Efficiency Optimization Method of an Integrated Heat Pipe Cooling System in 5g Base Station. SSRN Electronic Journal.DOI
9. Xiaoxia Zhang, Hao Mao, Junsheng Guan, Yanjun Liu, Guoyin Wang (2024). Data-Driven Discovery of Partial Differential Equations Based on Temporal Relationships. SSRN Electronic Journal.DOI
10. Jun Hui Hu, Hongguang Xia, Qinghua Zhang, Guoyin Wang (2024). A Cost-Sensitive Sequential Multi-Class Three-Way Decision Model. SSRN Electronic Journal.DOI
11. Liang Wang, Dawei Dai, Shiyu Fu, Guoyin Wang (2023). Multi-Granularity Representation Learning for Sketch-based Dynamic Face Image Retrieval. arXiv (Cornell University).DOI
12. xiaoxia zhang, Yi Chen, Feng Hu, Guoyin Wang (2023). A Transformer Autoencoder with Hidden Layer Extension for Multivariate Time Series Anomaly Detection. SSRN Electronic Journal.DOI
13. Ji Xu, Gang Ren, Yao Xiao, Shaobo Li, Guoyin Wang, Weiping Ding (2022). DeLaLA: Semisupervised Learning via Determinately Labeling and Kernelized Large Margin Projection.DOI
14. Ye Wang, Jingbo Liao, Hong Zhi Yu, Guoyin Wang, Xiaoxia Zhang, Li Liu (2022). Advanced Conditional Variational Autoencoders (A-CVAE): Towards interpreting open-domain conversation generation via disentangling latent feature representation. Research Square.DOI

书籍章节

1. Wei Gang Deng, Huan Yang, Lina Ma, Wangyue Li, Guoyin Wang (2024). Explainable Legal Judgment Prediction via Concept Tree and Concept Forest Reasoning with Collegiate Bench Mechanism. Frontiers in artificial intelligence and applications.DOI
2. Heng Zhang, Lingpeng Zhong, Qin Hang, Xue Lyu, Бо Лю, Jinchao Liu, Guoyin Wang (2023). An Improved Super-Resolution Model for Bubble Feature Extraction Process. Springer proceedings in physics.DOI
3. Guoyin Wang, Jun Hu, Qinghua Zhang, Xianquan Liu, Jiaqing Zhou (2010). Granular Computing Based Data Mining in the Views of Rough Set and Fuzzy Set. IGI Global eBooks.DOI
4. Yong Yang, Guoyin Wang, Hao Kong (2009). Emotion Recognition Based on Dynamic Ensemble Feature Selection. Advances in intelligent and soft computing.DOI
5. Guoyin Wang, Long Chen, Yu Chuan Wu (2006). Rough Set Based Solutions for Network Security. Springer eBooks.DOI
6. Guoyin Wang (2004). DATA MINING FOR NETWORK SECURITY. Series in machine perception and artificial intelligence.DOI