【导师】张鹏飞，博士，特聘副研究员，硕士生导师。长期从事人工智能、机器学习、信息融合、医工交叉等相关领域科研教学工作。主研国家重点研发计划、国家自然科学基金面上项目和四川省重点研发5项，主持校级项目1项；是ACM会员，CCF会员，CAAI会员，中国人工智能协会机器学习专委会通信委员，担任Information Fusion 、IEEE Transactions on Fuzzy Systems、Pattern Recognition、Advanced Engineering Informatics 、International Journal of Approximate Reasoning、Artificial Intelligence Review、Neurocomputing、Applied Intelligence、International journal of machine learning and cybernetics、Scientific Reports、PLos One、Open Medicine等多个期刊审稿人，在 Information Fusion 、IEEE Transactions on Neural Networks and Learning Systems、 IEEE Transactions on Fuzzy Systems、ACM Transactions on Knowledge Discovery from Data、Information Sciences, Applied Soft Computing, Engineering Applications of Artificial Intelligence 、International Journal of Approximate Reasoning、模糊系统与数学等国际期刊和国内期刊发表文章30余篇，其中1篇入选ESI高被引，谷歌引用600余次。荣获国家奖学金、2023年度ACM Chengdu Chapter 优秀博士论文奖（提名奖）、西南交通大学优秀博士论文、扬华新秀奖学金等荣誉。想要更多了解信息，请点击我的个人主页https://pengfei-zhang-55.github.io/。欢迎志同道合的同学报考，联系我邮箱feifeihappy55@163.com或zhangpengfei@www.yoyuju.com。

代表作：

[1] 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. (高被引论文,中科院1区Top, IF=18.6)

[2] 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. (中科院1区Top, IF=18.6)

[3] 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. (中科院1区Top, IF=18.6)

[4] 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. ( 中科院1区Top, IF=11.9)

[5] 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, DOI:10.1109/TNNLS.2022.3193929, 在线发表. (中科院1区Top, IF=10.6)

[6] 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. (中科院2区, IF=3.9)

[7] 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. (中科院一区Top, IF=11.9)

[8] Zhaowen Li, Pengfei Zhang*(通信作者), 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. (通信作者, 中科院1区Top, IF=8)

[9] 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

[10] 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).

科研项目：

[1] 城市知识库构建及语义协同挖掘，国家重点研发计划 （2019YFB2101802）， 2019‐12 至 2022‐11，主研

[2] 基于粒计算的多源异构动态数据挖掘关键技术研究，国家自然科学基金委员会面上项目(61573292)，2016-01至2019-12，参与

[3] 面向城市时空大数据的深度协同融合与跨域联邦学习技术研究，国家自然科学基金委员会面上项目（62176221），2022-01至2025-12，参与

[4] 面向医疗监管的大规模医学知识图谱研究与应用示范，四川省重点研发项目（2020YFG0035），2020‐01 至 2021‐12，主研

[5] 基于粒计算的多源信息融合与不确定性方法研究， 广西高校中青年教师科研基础能力提升项目（2021KY0648），2021‐02 至 2023‐02，主研