I work at Chengdu University of Traditional Chinese Medince as a Distinguished associate researcher now in Chengdu. If you are seeking any form of academic cooperation, please feel free to email me at zhangpengfei@cdutcm.edu.cn or feifeihappy55@163.com. I graduated from the School of Computing and Artificial Intelligence, Southwest Jiaotong University with a Ph.D., under the supervision of Tianrui Li (Prof.). Prior to this, I received the M. Sc. degree at the Guangxi Minzu University. My research interests are broad, including granular computing, information fusion and data mining, especially on outlier detection and feature selection. Now, I mainly engaged in the research of AI and the integration of traditional Chinese and Western medicine.

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News

• [2024.12]: 🎉 One journal paper is published by Expert Systems with Applications (IF:7.5).
• [2024.12]: 🎉 I was elected as the guest editor of Frontiers in Artificial Intelligence (IF:3.0).
• [2024.12]: 🎉 One journal paper is published by International Journal of Machine Learning and Cybernetics (IF:3.1).
• [2024.12]: 🎉 One journal paper is published by Neural Processing Letters (IF:2.6, CCF C).
• [2024.12]: 🎉 One journal paper is published by Applied Soft Computing (IF:7.2).
• [2024.11]: 🎉 One journal paper is published by Applied Intelligence (IF:3.4).
• [2024.11]: 🎉 入选为四川省计算机学会青少年信息科技专委会委员.
• [2024.10]: 🎉 One journal paper is published by Information Fusion (IF:14.7).
• [2024.10]: 🎉 当选为四川省城乡数智中医委员会副秘书长.
• [2024.10]: 🎉 One journal paper is published by Knowledge-Based Systems (IF:7.2).
• [2024.10]: 🎉 One journal paper is published by Engineering Applications of Artificial Intelligence (IF:7.5).
• [2024.10]: 🎉 One journal paper is published by Applied Soft Computing (IF:7.2).
• [2024.08]: 🎉 A book is Officially Available on IGI Global.
• [2024.07]: 🎉 入选为中国粒计算与知识发现专委会委员.
• [2024.07]: 🎉 One journal paper is published by Information Fusion (IF:14.7).
• [2024.06]: 🎉 One journal paper is published by ACM Transactions on Intelligent Systems and Technology (IF:5.0).
• [2024.05]: 🎉 One journal paper is published by International Journal of Fuzzy Systems (IF:4.3).
• [2024.05]: 🎉 One journal paper is accepted by IEEE Transactions on Fuzzy Systems (IF:11.9)
• [2024.04]: 🎉 One journal paper is published by International Journal of Fuzzy Systems (IF:4.3).
• [2024.02]: 🎉 One journal paper is published by Information Fusion (IF:18.6).
• [2023.12]: 🎉 荣获西南交通大学2023年度优秀博士论文
• [2023.11]: 🎉 当选为中国中医药信息学会人工智能分会理事.
• [2023.11]: 🎉 One journal paper is published by Information Fusion (IF:18.6).
• [2023.10]: 🎉 荣获2023年度ACM Chengdu Chapter优秀博士论文奖（提名奖).
• [2023.10]: 🎉 One journal paper is published by International Journal of Approximate Reasoning (IF:3.9).
• [2023.08]: 🎉入选中国人工智能学会机器学习专业委员会通信委员.
• [2023.07]: 🎉 One journal paper is accepted by International Journal of Machine Learning and Cybernetics (IF:5.6).
• [2023.06]: 🎉 One journal paper is accepted by Information Fusion (IF:18.6).
• [2023.01]: 🎉 One journal paper is accepted by ACM Transactions on Knowledge Discovery from Data (IF:4.157).
• [2022.11]: 🎉 One journal paper is accepted by IEEE Transactions on Fuzzy Systems (IF:11.9)

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, Jie Wang, Zhixuan Deng††, Keyu Liu and Pengfei Zhang, Rough set interpretation to RBF neural network. International Journal of Machine Learning and Cybernetics, 2025. (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)
• 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)

2024

• 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, DOI:10.1007/s40815-024-01740-0,2024.(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, DOI: https://doi.org/10.1007/s40815-024-01715-1, 2024. (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)
• 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, 2023. (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 (TKDD), 2023. (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 (TFS), 2023. (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, 2022. (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)

Honors and Awards

• 2024.7 FLINS 2024 Best Poster Award (Dexian Wang, Pengfei Zhang, Ping Deng, Tianrui Li)
• 2023.12 2023年度西南交通大学优秀博士论文 (全校仅10篇).
• 2023.10 2023年度ACM Chengdu Chapter 优秀博士论文奖（提名奖,全省仅一篇）.
• 2022.12 National Scholarship (Top 1%).
• 2022.12 Mingcheng Award.
• 2019.12 Yang Hua New Talent Scholarship (Top 1%).

Educations

Southwest Jiaotong University,

2019-2023

• PhD. in Computer Science and Technology
• School of Computing and Artificial Intelligence

Guangxi Minzu University,

2016-2019

• M.Sc. in Basic Mathematics
• College of Science

Zunyi Normal University,

2012-2016

• B.Sc. in Mathematics and Applied Mathematics
• School of Mathematics

Kaili No.1 High School,

2009-2012

• Student of Science
• Science Class

Talks

• 2024.10.25, 广西财经数学与数量经济学院学术讲座
• 2024.7.16-2024.7.21, The Local Chair of the FLINS-ISKE 2024 Conference.
• 2023.12.2, 闽南师范大学数学学院学术报告
• 2023.11.24, 2023年四川省博士后医工交叉学术交流主持.
• 2023.7.11, 西南财经大学”双优”论坛报告.
• 2023.7.3, 成都中医药大学智能医学学院学术沙龙报告.
• 2023.6.14, 西华师范大学计算机学院报告.
• 2021.12.11, 华侨大学数学与数学学院创院 60 周年系列讲座.
• 2021.11.26, ISKE 2021 报告.

Academic Services

Journal Editor:

• Frontiers in Artificial Intelligence (Special issue: The Applications of AI Techniques in Medical Data Processing) (Link: https://www.frontiersin.org/research-topics/69066/the-applications-of-ai-techniques-in-medical-data-processing)

Journal Reviewers (more than 20 journals):

• IEEE Transaction on Fuzzy Systems (TFS)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Emerging topics in Computational Intelligence (TETCI)
• IEEE Transactions on Cybernetics (TCYB)
• Information Fusion (INFFUS)
• Pattern Recognition (PR)
• Information Sciences (INS)
• Advanced engineering informatics (ADVEI)
• Information Processing and Management (IPM)
• Applied soft computing (ASOC)
• Expert systems with applications (ESWA)
• International Journal of Approximate Reasoning (IJA)
• Scientific Reports
• ......

Conference Reviewer:

• AAAI 2023
• CGCKD 2021
• ISKE 2023

Social Work:

• 四川省计算机学会青少年信息科技专委会委员
• 四川省城乡数智中医委员会副秘书长
• 中国人工智能学会粒计算与知识发现委员会委员
• 中国人工智能学会机器学习专业委员会通信委员
• 中国中医药信息学会人工智能分会理事

Activity

• 2024.10.18-2024.10.20 参加2024年中国中医药信息学会人工智能分会第八届学术研讨会, 江苏南京
• 2024.8.16-2023.8.17 参加KDD China 2024, 四川成都
• 2024.7.28-2024.7.30 参加第十届中国数据挖掘会议(CCDM 2024), 山东泰安
• 2024.7.23-2024.7.26 参加2024年中国粒计算与知识发现学术会议(CGCKD2024), 江苏连云港
• 2024.7.16-2024.7.20 参加FLINS-ISKE 2024国际会议，西班牙马德里
• 2024.6.21-2024.6.23 参加第四届卓越儿科菁英之“循证强基”临床科研培训班及国际圆桌会议, 江苏南京
• 2024.5.17-2024.5.18 参加2024年智慧医疗与健康高峰论坛, 江苏南京
• 2023.11.18-2023.11.19 参加ISKE 2023国际会议, 福建福州
• 2023.11.17-2023.11.18 参加中国中医药信息学会人工智能分会第二届理事会换届大会暨第七届学术研讨会, 江苏南京
• 2023.8.11-2023.8.13 参加第十九届中国机器学习会议(CCML 2023)，河南新乡
• 2023.7.22-2023.7.23 参加KDD China峰会, 四川成都
• 2023.7.18-2023.7.20 参加2023年中国粒计算与知识发现学术会议(CGCKD 2023), 福建厦门

Funding Acknowledgement

1. China Postdoctoral Science Foundation (2023M740383)
2. Sichuan Science and Technology Program (2024NSFSC0721)
3. The Postdoctoral Fellowship Program of CPSF (GZB20230092)
4. The National Science Foundation of China (62406044))

Thank Mr. Yi Ren for sharing the source code of the website template.