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

• [2024.05]: 🎉 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

2024

• 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. (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

• 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）.
• 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

• 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 Reviewer:

• IEEE Transaction on Fuzzy Systems (TFS)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Cybernetics (TCYB)
• Information Fusion (INFFUS)
• Pattern Recognition (PR)
• International Journal of Approximate Reasoning (IJA)
• Scientific Reports

Conference Reviewer:

• AAAI 2023
• CGCKD 2021

Social Work:

• 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

• 2023.11.18-2023.11.19 参加ISKE 2023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(CGCKD2023), 福建厦门

Funding Acknowledgement

1. China Postdoctoral Science Foundation (2023M740383)
2. The Natural Science Foundation of Sichuan Province (24NSFSC1654)
3. The Postdoctoral Fellowship Program of CPSF (GZB20230092)

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