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范宇凌

时间:2022-04-15   来源:    阅读:

  

  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20236月获厦门大学自动化系工学博士学位,博士毕业后,加入亚洲必赢国际437app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 SystemsPattern 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

华侨大学高层次人才科研启动费项目,23BS1242023-112026-10


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


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