余玉丰 副教授 硕士研究生导师

通讯地址：广州市大学城外环西路203号

邮编：510006

电子邮箱：[email protected]

系所：统计系

个人简介

余玉丰，理学博士，色漫网 副教授，硕士生导师，广东省工业与应用数学学会理事、广东省现场统计学会理事、中国现场统计研究会统计交叉科学研究分会理事、广州市工业与应用数学学会理事。于2017年12月获得中山大学统计学专业博士学位。主要研究方向为统计机器学习、模式识别、数据挖掘、计算机视觉、生物医学图像处理。主持国家自然科学基金等省部级及以上项目5项，参与国家自然科学基金重点项目和面上项目多项。在国内外期刊会议发表学术论文40余篇，其中以第一作者或通讯作者在IEEE-TCYB, IEEE-TIV, IEEE-TCSVT, IEEE-TII, Pattern Recognition等SCI一区期刊发表论文20余篇。JCR-Q1期刊《Mathematics》和《Frontiers in Bioengineering and Biotechnology》Guest Editor，担任多个国际学术期刊（IEEE-TNNLS, IEEE-TCSVT, IEEE-TSMCS, IEEE-TFS, PR, KBS等）和国际会议论文审稿人。

研究方向

1. 统计机器学习、计算机视觉、模式识别、生物医学图像处理

2. 数据挖掘、高维数据分析

教学方向

1. 机器学习、数据挖掘

2. 统计学、人工智能基础

3. 神经网络与深度学习

海(境)外科研经历

1. 2017/12-2018/05，香港城市大学电子工程系，Senior Research Associate

2. 2016/07-2017/07，美国西弗吉尼亚大学计算机系，Research Assistant

部分科研项目

1. 国家自然科学基金（青年项目），主持，基于结构与多层特征联合匹配的目标跟踪方法研究，2021/01-2023/12

2. 广东省自然科学基金（面上项目），主持，基于判别和深度表示的高维数据聚类方法研究，2024/01-2026/12

3. 广东省自然科学基金（面上项目），主持，基于双域校准与距离驱动相关滤波器的无人机目标跟踪方法研究，2022/01-2024/12

4. 广东省自然科学基金（面上项目），主持，基于回归与稀疏度量学习的高维异构数据降维方法研究，2019/10-2022/09

5. 广州市科技计划（一般项目），主持，基于稀疏逼近与张量分解的高维数据降维方法研究，2021/04-2023/03

6. 广州市科技计划（市校联合项目），主持，基于通道注意力与连续加权动态响应相关滤波器的无人机目标跟踪方法研究，2024/04-2026/03

第一作者代表性论文

[1]Yu-Feng Yu, Zhongsen Chen, Yang Zhang, Chuanbin Zhang and Weiping Ding, "Learning Dynamic-Sensitivity Enhanced Correlation Filter With Adaptive Second-Order Difference Spatial Regularization for UAV Tracking," IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 5, pp. 7211-7230, 2025.

[2]Yu-Feng Yu, Ziwei Wang, Xinjia Chen, Qiying Feng, “Particle swarm optimization algorithm based on teaming behavior,” Knowledge-Based Systems, 318: 113555, 2025.

[3]Yu-Feng Yu, Xuanyi Chen, Jiali Luo, YingChao Cheng, and Zhifeng Hao, “Discriminative Subspace Clustering based on Local Hyperdisk for High-dimensional Big Data,” Big Data Mining and Analytics, DOI: 10.26599/BDMA.2025.9020044.

[4]Yu-Feng Yu, Yang Zhang, Long Chen, Pengfei Ge, C. L. Philip Chen “Multi-Scale Enhanced Features Correlation Filters Learning with Dual Second-Order Difference for UAV Tracking”, IEEE Transactions on Intelligent Vehicles, vol. 9, no. 2, pp. 3232-3245, 2024.

[5]Yu-Feng Yu, Peiwen Wei, Xiaoling Wu, Qiying Feng, Chuanbin Zhang, “Discriminative fuzzy K-means clustering with local structure preservation for high-dimensional data,” Knowledge-Based Systems, 304: 112537, 2024

[6]Yu-Feng Yu, Guojing Zhong, Yi Zhou, Long Chen, “FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement”, Information Sciences, 642:119114, 2023.

[7]Yu-Feng Yu, Xianliang Wang, Long Chen, Yingxu Wang, Guoxia Xu, “Cooperative linear regression model for image set classification” Expert Systems with Applications, 230: 120558, 2023.

[8]Yu-Feng Yu, Guoxia Xu, Min Jiang, Hu Zhu, Dao-Qing Dai, Hong Yan, "Joint Transformation Learning via the L2,1 Norm Metric for Robust Graph Matching", IEEE Transactions on Cybernetics, vol. 51, no. 2, pp. 521-533, 2021.

[9]Yu-Feng Yu, Guoxia Xu, Ke-Kun Huang, Hu Zhu, Long Chen, Hao Wang, “Dual Calibration Mechanism based L2,p-Norm for Graph Matching”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 6, pp. 2343-2358, 2021.

[10]Yu-Feng Yu, Chuan-Xian Ren, Min Jiang, Manyu Sun, Dao-Qing Dai, Guodong Guo, "Sparse Approximation to Discriminant Projection Learning and Application to Image Classification", Pattern Recognition, vol. 96, 1-10, 2019.

[11]Yu-Feng Yu, Chuan-Xian Ren, Dao-Qing Dai, Ke-Kun Huang, "Kernel Embedding Multi-Orientation Local Pattern for Image Representation", IEEE Transactions on Cybernetics, vol. 48, no. 4, 1124-1135, 2018.

[12] Yu-Feng Yu, Dao-Qing Dai, Chuan-Xian Ren, Ke-Kun Huang, "Discriminative Multi-Scale Sparse Coding for Single-Sample Face Recognition with Occlusion", Pattern Recognition, vol. 66, 302-312, 2017.

[13] Yu-Feng Yu, Dao-Qing Dai, Chuan-Xian Ren, Ke-Kun Huang, "Discriminative Multi-Layer Illumination-Robust Feature Extraction for Face Recognition", Pattern Recognition, vol. 67, 201-212, 2017.

通讯作者代表性论文（指导的学生为第一作者）

[14]Yang Zhang, Yu-Feng Yu*, Long Chen and Weiping Ding, "Robust Correlation Filter Learning with Continuously Weighted Dynamic Response for UAV Visual Tracking," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023.

[15]Xiaoling. Wu, Yu-Feng Yu*, Long Chen, Weiping Ding, and Yingxu Wang, "Robust deep fuzzy K-means clustering for image data," Pattern Recognition, 153:110504, 2024.

[16]Guojin Zhong, Weiping Ding, Long Chen, Yingxu Wang and Yu-Feng Yu*, "Multi-scale Attention Generative Adversarial Network for Medical Image Enhancement," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 4, no. 4, pp. 1113-1125, 2023.

[17]Zhong-Zhen Long, Guoxia Xu, Jiao Du, Hu Zhu, Taiyu Yan, and Yu-Feng Yu*, “Flexible Subspace Clustering: A Joint Feature Selection and K-Means Clustering Framework”, Big Data Research, Vol. 23, pp. 1-9, 2021.

[18]Yang. Zhang, Yu-Feng Yu*, Ke-Kun Huang and Yingxu Wang, "Channel Attentional Correlation Filters Learning with Second-Order Difference for UAV Tracking," IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023.

获奖情况(部分)

1.第三届“华数杯”全国大学生数学建模竞赛，二等奖，指导教师

2.第十二届MathorCup高校数学建模挑战赛，本科生组二等奖，指导教师

3.第三届“泰迪杯”数据分析职业技能大赛，本科组二等奖，指导教师

4.“正太杯”第十二届全国大学生市场调查与分析大赛，研究生组三等奖，指导教师

5.“正太杯”第十二届全国大学生市场调查与分析大赛，本科生组省一等奖，指导教师

6.2022届本科毕业论文创新奖一等奖，指导教师

7.2020-2021年度，本科课堂教学优秀奖二等奖

8.“正太杯”第十三届全国大学生市场调查与分析大赛，本科生组国家三等奖，指导教师

9.2023届本科毕业论文创新奖一等奖，指导教师

10.2023-2024学年度优秀硕士学位论文，指导教师

11.2024届本科毕业论文创新奖一等奖，指导教师

12.2023-2024年度，本科课堂教学优秀奖一等奖

13.2024年全国大学生数学建模竞赛广东省分赛优秀指导教师奖