李帆，工学博士，硕士生导师，2023年9月毕业于重庆大学信息与通信工程专业。主要从事类不平衡学习，模糊粒计算，模式识别、图像分割等方面的研究；参与多项国家级/省部级项目。近年来在IEEE Transactions on Fuzzy Systems、Information Sciences、Expert Systems With Applications、Applied Soft Computing等国际著名SCI期刊发表论文10余篇。

招生信息：目前招计算机科学与技术、电子信息专业的学生1-2名。欢迎计算机、人工智能等相关专业的同学报考。

电子邮箱：lifan@cqjtu.edu.cn

代表性论文成果：

[1]Li F, Li Y, et al. Deep Fuzzy Envelope Sample Generation Mechanism for Imbalanced  Ensemble Classification[J]. IEEE Transactions on Fuzzy Systems, 32(3): 1248-1262, 2024. （SCI 1 区）

[2]Li F,Wang D, Li Y, et al. Stacked fuzzy envelope consistency imbalanced ensemble  classification method[J]. Expert Systems with Applications, 265:126033, 2025.（SCI 1 区）

[3]Li F , Wang B, et al. An overlapping oriented imbalanced ensemble learning algorithm  with weighted projection clustering grouping and consistent fuzzy sample transformation[J].  Information Sciences, 637: 118955, 2023.（SCI 1 区）

[4]Li F, Zhang X, et al. Deep instance envelope network-based imbalance learning  algorithm with multilayer fuzzy C-means clustering and minimum interlayer discrepancy[J].  Applied Soft Computing, 123: 108846, 2022. （SCI 1 区）

[5]Li F, Wang B, et al. An imbalanced ensemble learning method based on dual clustering  and stage-wise hybrid sampling[J]. Applied Intelligence, 53: 21167-21191, 2023. （SCI 2 区）

[6]李帆, 张小恒, 李勇明, 王品. 基于包络学习和分级结构一致性机制的不平衡集成算法[J].  电子学报, 52(3): 751-761, 2024.

[8]Li Y, Li F，et al. Hierarchical age estimation mechanism with adaBoost-based deep  instance weighted fusion[J]. Journal of Experimental & Theoretical Artificial Intelligence,  33(3): 509-525, 2021.（SCI 4 区）

[9]Wang Y, Li F，et al. Intra-subject enveloped multilayer fuzzy sample compression for  speech diagnosis of Parkinson's disease[J]. Medical & Biological Engineering & Computing,  62: 371-388, 2024.（SCI 3 区）

[10]Zhou C, Ma J, Li F, et al. Neighboring Envelope Embedded Stacked Autoencoder for Deep Learning on Hierarchically Structured Samples[J]. IEEE Transactions on Artificial Intelligence, 2023, 5(2): 737-750.

[11]Li F, Li Y, et al. Integrated Age Estimation Mechanism based on Decision-Level Fusion  of Error and Deviation Orientation Model[C]//2022 5th Asia Conference on Machine Learning  and Computing (ACMLC). IEEE