范宇凌 讲师

  厦门大学博士

  研究方向：机器学习，数据挖掘，群智能优化，医学图像处理

  所属部门：物联网工程系

  电子邮件：yling_fan@126.com

  个人主页：

个人简历：

1、个人简介

本人于2023年6月获厦门大学自动化系工学博士学位，博士毕业后，加入6163银河net163am从事教学科研工作。近年来，一直专注于多标记学习，特征选择和差分进化算法等方面的研究，在IEEE Transactions on Fuzzy Systems，Pattern Recognition, Knowledge-Based Systems, Neurocomputing, Applied Intelligence等重要期刊发表论文20余篇，申请相关发明专利7项（授权2项），担任Pattern Recognition, Knowledge-Based Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, Journal of Computational Design and Engineering, Journal of Visual Communication and Image Representation等期刊的审稿人。

2、主讲课程

分布式数据库原理与应用，大数据存储，人工智能概论

3、科研项目

银河6163官方网站高层次人才科研启动费项目，23BS124，2023-11至2026-10。

4、代表性论著

[1] Yuling Fan, Jinghua Liu, Jianeng Tang, Peizhong Liu, Yaojin Lin, Yongzhao Du. Learning correlation information for multi-label feature selection[J]. Pattern Recognition, 2024, 145: 109899.

[2] Baihua Chen, Yunlong Gao, Jinghua Liu, Wei Weng, Jiamei Huang, Yuling Fan*, Weiyao Lan. Curriculum learning-based fuzzy support vector machine[J]. IEEE Transactions on Fuzzy Systems, 2023, 32, 1116-1130.

[3] Yuling Fan, Baihua Chen, Weiqin Huang, Jinghua Liu, Wei Weng, Weiyao Lan. Multi-label feature selection based on label correlations and feature redundancy [J]. Knowledge-Based Systems, 2022, 241: 108256.

[4] Yuling Fan, Jinghua Liu, Wei Weng, Baihua Chen, Yannan Chen, Shunxiang Wu. Multi-label feature selection with constraint regression and adaptive spectral graph [J]. Knowledge-Based Systems, 2021, 212: 106621.

[5] Yuling Fan, Jinghua Liu, Peizhong Liu, Yongzhao Du, Weiyao Lan, Shunxiang Wu. Manifold learning with structured subspace for multi-label feature selection [J]. Pattern Recognition, 2021, 120: 108169.

[6] Yuling Fan, Jinghua Liu, Wei Weng, Baihua Chen, Yannan Chen, Shunxiang Wu. Multi-label feature selection with local discriminant model and label correlations [J]. Neurocomputing, 2021, 442: 98-115.

[7] Yuling Fan, Jinghua Liu, Shunxiang Wu. Exploring instance correlations with local discriminant model for multi-label feature selection [J]. Applied Intelligence, 2022, 52: 8302-8320.

5、发明专利

1. 基于动态多种群集成差分进化算法的图像分割方法

2.一种基于模糊熵以及差分进化的乳腺图像分割法