Publications[Google Scholar]

Representative work

a. Multi-source Information Fusion

Information Fusion 2021

Multi-source information fusion based on rough set theory: A review

Pengfei Zhang, Tianrui Li, Guoqiang, Wang, Chuan Luo, Hongmei Chen, Junbo Zhang, Dexian Wang, Zeng Yu.

• 
• This paper is to introduce the research progress of Multi-source information fusion based on rough sets including conventional models and techniques.

b. Outlier Detection

Information Fusion 2023

A multi-source information fusion model for outlier detection

Pengfei Zhang, Tianrui Li, Guoqiang Wang, Dexian Wang, Pei Lai, Fan Zhang

• 
• This is a two-stage model that includes fusion of multiple information sources and outlier detection of fused data.

c. Feature Selection

TFS 2023

A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures

Pengfei Zhang, Tianrui Li, Zhong Yuan, Zhixuan Deng, Guoqiang Wang, Dexian Wang, Fan Zhang

• 
• The main goal of most information quality (IQ)-based measures is to combine data provided by multiple information sources to enhance the quality of information essential for decision makers to perform their tasks.

Journal and Conference Publications

† denotes equal contribution， †† denotes Corresponding Author

2025

• Dayong Deng, Tong Chen, Zhixuan Deng, Tianrui Li, Pengfei Zhang. Outlier detection based on multiple information extraction. Information Sciences 718 (2025) 122394. (SCI)
• Pengfei Zhang, Qinli Zhang††, Jingxin Liu, Dexian Wang, Hua Ye, Xiabing Zhang,Tianrui Li，Information fusion and feature selection for multi-source data utilizing Dempster-Shafer evidence theory and K-nearest neighbors. Information Sciences 718 (2025) 122408. (SCI)
• Dexian Wang, Zonglin Li, Sha Yang, Tianrui Ren, Pengfei Zhang, Ping Deng††, Tianrui Li††, NDRIDC: NMF-based deep representation algorithm for incomplete data clustering. Knowledge-Based Systems 324 (2025) 113771. (SCI)
• Wei Huang, Junling Chen, Dexian Wang, Pengfei Zhang, Jia Liu††, Tianrui Li, Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning. International Journal of Computational Intelligence Systems, 18, 131 (2025). (SCI)
• Yuxin Zhao, Pengfei Zhang††, Dexian Wang & Tianrui Li, A Dynamic Unsupervised Feature Selection Method Based on Information Sets and Fuzzy Rough Sets. International Joint Conference on Rough Sets, 2025.
• Jia Liu, Ruotian Lan, Yajun Du, Xipeng Yuan, Huan Xu, Tianrui Li, Wei Huang, Pengfei Zhang††, Big data fusion with knowledge graph: a comprehensive overview. Applied Intelligence 55, 672 (2025). https://doi.org/10.1007/s10489-025-06549-4. (SCI)
• Pengfei Zhang, Yuxin Zhao, Lvhui Hu, Dexian Wang††, Lilan Peng, Zhong Li, Herwig Unger, Tianrui Li,I2QD: Unsupervised feature selection via information quality, quantity, and difference degree. Information Processing and Management 62 (2025) 104173. (SCI)
• Jihong Wan, Xiaoping Li††, Pengfei Zhang, Hongmei Chen, Xiaocao Ouyang, Tianrui Li, Kay Chen Tan, FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration. Information Fusion, 2025, 103101. (SCI)
• Pengfei Zhang, Zhaoxuan He, Dexian Wang††, Tao Jiang, Baolin Li, Jia Liu, Wei Huang, Tianrui Li, ODMGIS: An Outlier Detection Method Based on Multi-Granularity Information Sets. IEEE Transactions on Fuzzy Systems 33(7) 2050-2061, 2025. (SCI)
• Liansong Zong, Dongfeng Hu, Qingchi Gui, Pengfei Zhang and Jie Wang, Jointly Learning Type-Aware Relations and Inter-Aspect with Graph Convolutional Networks for Aspect Sentiment Analysis. Neural Processing Letters 57, 3 (2025). (SCI)
• Zheng Yu, Xiaoyan Zheng, Jiaqi Sun, Pengfei Zhang, Ying Zhong, Xingyu Lv, Hongwen Yuan, Fanrong Liang, Dexian Wang, Critical factors influencing live birth rates in fresh embryo transfer for IVF: insights from cluster ensemble algorithms. Scientific Reports 15(2025), 3734. (SCI)
• Dayong Deng, Jie Wang, Zhixuan Deng††, Keyu Liu and Pengfei Zhang, Rough set interpretation to RBF neural network. International Journal of Machine Learning and Cybernetics, 2025, 16:4525–4544. (SCI)
• Xiabing Zhang, Yuqin Li, Pengfei Zhang††, Dexian Wang, Guang Yao, Peng Xu††, Central-Peripheral Nervous System Activation in Exoskeleton Modes: A Granger Causality Analysis via EEG-EMG Fusion. Expert Systems with Applications, 2025, 126311. (SCI)
• Yu Tang, Lilan Peng, Zhendong Wu, Jie Hu, Pengfei Zhang and Hongchun Lu, FAHC: frequency adaptive hypergraph constraint for collaborative filtering. Applied Intelligence, (2025) 55:242. (SCI)
• Zhixuan Deng, Tianrui Li, Pengfei Zhang, Keyu Liu, Zhong Yuan, Dayong Deng, Feature selection for label distribution learning based on neighborhood fuzzy rough sets. Applied Soft Computing, 169 (2025) 112542. (SCI)

2024

• Gangqiang Zhang, Jingjing Hu, Jing Yang, Pengfei Zhang††, Interactive streaming feature selection based on neighborhood rough sets. Engineering Applications of Artificial Intelligence, 139 (2025) 109479. (SCI)
• Qinli Zhang, Pengfei Zhang††, Tianrui Li, Information fusion for large-scale multi-source data based on the Dempster-Shafer evidence theory. Information Fusion, 115(2025) 102754. (SCI)
• Yaqin Fu, Lin Xu, Yujie Zhang, Linshuai Zhang, Pengfei Zhang, Lu Cao, Tao Jiang††. Classification and diagnosis model for Alzheimer’s disease based on multimodal data fusion. Medicine (Baltimore). 2024 Dec 27;103(52):e41016. (SCI)
• Pengfei Zhang, Yuxin Zhao, Dexian Wang, Zheng Yu††. Fuzzy Rough Set Models Based on Fuzzy Similarity Relation and Information Granularity in Multi-Source Mixed Information Systems. Mathematics, 2024, 12(24): 4039.
• Dexian Wang, Pengfei Zhang††, Ping Deng, Qiaofeng Wu, Wei Chen, Tao Jiang, Wei Huang, Tianrui Li, An autoencoder-like deep NMF representation learning algorithm for clustering. Knowledge-Based Systems, 305 (2024) 112597. (SCI)
• Yongming Luo,Jingjing Hu,Gangqiang Zhang,Pengfei Zhang††, Ying Xie, Zhaomin Kuang, Xingji Zeng, Shushi Li, A dissolved oxygen levels prediction method based on single-hidden layer feedforward neural network using neighborhood information metric. Applied Soft Computing, 2024, 167: 112328. (SCI)
• Pengfei Zhang††, Dexian Wang, Tao Jiang, Multi-Source Information Fusion Models and Methods Based on Granular Computing. Granular Computing and Big Data Advancements. IGI Global, 2024. 50-77. (Book)
• Jia Liu, Nijing Yang, Yanli Lee, Wei Huang††, Yajun Du, Tianrui Li, Pengfei Zhang††, FedDAF: Federated Deep Attention Fusion for Dangerous Driving Behavior Detection. Information Fusion, 2024, 112: 102584. (SCI)
• Dexian Wang, Tianrui Li, Ping Deng, Zhipeng Luo, Pengfei Zhang††, Keyu Liu, Wei Huang, DNSRF: Deep Network-based Semi-NMF Representation Framework. ACM Transactions on Intelligent Systems and Technology, 15(5)(2024): 2157-6904. (SCI)
• Gangqiang Zhang, Jingjing Hu, Pengfei Zhang††, Leveraging Local Density Decision Labeling and Fuzzy Dependency for Semi-supervised Feature Selection.International Journal of Fuzzy Systems, 26(2024)：2805–2820.(SCI)
• Zhixuan Deng, Tianrui Li, Dayong Deng, Keyu Liu, Zhipeng Luo, Pengfei Zhang,Feature Selection for Handling Label Ambiguity using Weighted Label-fuzzy Relevancy and Redundancy, IEEE Transactions on Fuzzy Systems (TFS), DOI: 10.1109/TFUZZ.2024.3399617, 2024. (SCI)
• Dayong Deng, Tong Chen, Zhixuan Deng††, Keyu Liu, Pengfei Zhang††, Dynamic Feature Selection Based on F-fuzzy Rough Set for Label Distribution Learning). International Journal of Fuzzy Systems, 26(2024): 2688–2706. (SCI)
• Pengfei Zhang, Dexian Wang, Zheng Yu, Yujie Zhang, Tao Jiang, Tianrui Li, A multi-scale information fusion-based multiple correlations for unsupervised attribute selection. Information Fusion, 106(2024) 102276. (SCI, Highly Cited Paper)
• Tengyu Yin, Hongmei Chen, Jihong Wan, Pengfei Zhang, Shi-Jinn Horng, Tianrui Li, Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy covering space. Information Fusion, 104(2024) 102150. (SCI)

2023

• Guoqiang Wang, Pengfei Zhang, Dexian Wang, Hongmei Chen, Tianrui Li, Fast attribute reduction via inconsistent equivalence classes for large-scale data. International Journal of Approximate Reasoning, 163(2023), 109039. (SCI)
• Zhixuan Deng, Tianrui Li, Keyu Liu, Pengfei Zhang, Dayong Deng, Feature selection based on probability and mathematical expectation. International Journal of Machine Learning and Cybernetics, 15(2024): 477–491. (SCI)
• Dexian Wang, Tianrui Li, Wei, Huang, Zhipeng, Luo, Ping, Deng, Pengfei Zhang, Minbo, Ma, A multi-view clustering algorithm based on deep semi-NMF. Information Fusion, 2023, 101884. (SCI)
• Dexian Wang, Tianrui Li, Ping Deng, Fan Zhang, Wei Huang, Pengfei Zhang, Jia Liu, A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization. ACM Transactions on Knowledge Discovery from Data, 2023, 17(7): 1556-4681. (SCI)
• Pengfei Zhang, Tianrui Li, Zhong Yuan, Zhixuan Deng, Guoqiang Wang, Dexian Wang, Fan Zhang. A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures. IEEE Transactions on Fuzzy Systems, 2023, 31(9):2975-2988. (SCI)
• Pengfei Zhang, Tianrui Li, Guoqiang Wang, Dexian Wang, Pei Lai, Fan Zhang, A multi-source information fusion model for outlier detection. Information Fusion, 2023, 93: 192-208 (SCI)
• Feifei Yang, Pengfei Zhang††. MSIF: Multi-source information fusion based on information sets. Journal of Intelligent & Fuzzy Systems, 44 (2023) 4103–4112. (SCI)

2022

• Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Guoqiang Wang, Jia Liu, Shengdong Du. A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data. Information Fusion, 2022, 80: 87-103. (SCI)
• Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Keyu Liu, Xiaoling Yang. Heterogeneous Feature Selection Based on Neighborhood Combination Entropy. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(3):3514-3527. (SCI)
• Pengfei Zhang, Tianrui Li, Guoqiang Wang, Chuan Luo. AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets. International Journal of Approximate Reasoning, 2022, 140: 7-30. (SCI)
• 张鹏飞, 李天瑞, 王德贤, 袁钟, 王国强, 一种改进的局部多粒度决策理论粗糙集模型. 模糊系统与数学, 2022, 36(06): 40-53. (北大核心期刊)
• Zhong Yuan, Hongmei Chen, Pengfei Zhang, Jihong Wan, Tianrui Li. A novel unsupervised approach to heterogeneous feature selection based on fuzzy mutual information. IEEE Transactions on Fuzzy Systems, 2022, 30(9): 3395-3409. (SCI)
• Xiaoling Yang, Hongmei Chen, Tianrui Li, Pengfei Zhang, Chuan Luo. Student-t kernelized fuzzy rough set model with fuzzy divergence for feature selection. Information Sciences, 2022, 610: 52-72. (SCI)
• Dexian Wang, Tianrui Li, Ping Deng, Hongjun Wang, Pengfei Zhang. Dual Graph-regularized Sparse Concept Factorization for Clustering. Information Sciences, 2022, 607: 1074-1088. (SCI)
• Zhixuan Deng, Tianrui Li, Dayong Deng, Keyu Liu, Pengfei Zhang, Shiming Zhang, Zhipeng Luo. Feature selection for label distribution learning using dual similarity based neighborhood fuzzy entropy. Information Sciences, 2022, 615: 385-404. (SCI)
• Zhihong Wang, Hongmei Chen, Zhong Yuan, Xiaoling Yang, Pengfei Zhang, Tianrui Li, Exploiting fuzzy rough mutual information for feature selection, Applied Soft Computing, 2022,131:109769. (SCI)
• Keyu Liu, Tianrui Li, Xibei Yang , Xin Yang , Dun Liu , Pengfei Zhang, Jie Wang, Granular cabin: An efficient solution to neighborhood learning in big data. Information Sciences, 2022, 583:189-201. (SCI)

2021

• Pengfei Zhang, Tianrui Li, Guoqiang, Wang, Chuan Luo, Hongmei Chen, Junbo Zhang, Dexian Wang, Zeng Yu. Multi-source information fusion based on rough set theory: A review. Information Fusion, 2021, 68: 85-117. (SCI, Highly Cited Paper)
• Guoqiang Wang, Tianrui Li, Pengfei Zhang, Qianqian Huang, Hongmei Chen. Double-local rough sets for efficient data mining. Information Sciences, 2021, 571: 475-498. (SCI)
• Zhong Yuan, Hongmei Chen, Peng Xie, Pengfei Zhang, Jia Liu, Tianrui Li. Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions. Applied Soft Computing, 2021, 107: 107353. (SCI)
• Gangqiang Zhang, Zhaowen Li, Pengfei Zhang† , Ningxin Xie. Information structures and uncertainty in an image information system. Journal of Intelligent & Fuzzy Systems, 2021, 40(1): 295-317. (SCI)
• Feifei Yang, Pengfei Zhang††. Using 2-tuple Linguistic Model for Multi-source Set-valued Information Fusion, 2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), IEEE, 2021: 557‐560. (EI)

2020

• Jiasheng Zeng, Zhaowen Li, Pengfei Zhang†, Pei, Wang. Information structures and uncertainty measures in a hybrid information system: Gaussian kernel method. International Journal of Fuzzy Systems, 2020, 22(1): 212-231. (SCI)
• Zhaowen Li, Pengfei Zhang††, Ningxin, Xie, Gangqiang, Zhang, Ching-Feng, Wen. A novel three-way decision method in a hybrid information system with images and its application in medical diagnosis. Engineering Applications of Artificial Intelligence, 2020, 92: 103651. (SCI)

2019

• Zhaowen Li, Pengfei Zhang†, Xun Ge, Ningxin Xie, Gangqiang Zhang, Ching-Feng Wen. Uncertainty measurement for a fuzzy relation information system. IEEE Transactions on Fuzzy Systems, 2019, 27(12): 2338-2352. (SCI)
• Pei Wang, Pengfei Zhang†, Zhaowen Li. A three-way decision method based on Gaussian kernel in a hybrid information system with images: An application in medical diagnosis. Applied Soft Computing, 2019, 77: 734-749. (SCI)
• Xiaoling Xie, Zhaowen Li, Pengfei Zhang†, Gangqiang Zhang. Information structures and uncertainty measures in an incomplete probabilistic set-valued information system. IEEE Access, 2019, 7: 27501-27514. (SCI)
• Zhaowen Li, Pengfei Zhang†, Xun Ge, Ningxin Xie, Gangqiang Zhang. Uncertainty measurement for a covering information system. Soft Computing, 2019, 23(14): 5307-5325. (SCI)