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230号广州大学行政东楼经济与统计学院
邮编：510006
电子邮箱：yufengyu@gzhu.edu.cn
系所：统计系

个人简历
余玉丰，理学博士，现任广州大学经济与统计学院教师。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、生物医学图像处理。主持国家自然科学基金青年项目、全国统计科学研究项目、广东省自然科学基金面上项目、广州大学人才引进项目各一项，参与多项国家自然科学基金重点项目和国家自然科学基金面上项目。在国内外期刊会议发表学术论文20余篇，其中包括IEEE Transactions on Cybernetics, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Industrial Informatics, Pattern Recognition等SCI一区期刊。担任的社会兼职包括多个国际学术期刊（IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Systems, Man, and Cybernetics: Systems等）和国际会议论文审稿人。

研究方向
1. 统计机器学习、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

发表论文

[1]Zhong-Zhen Long, Guoxia Xu, Jiao Du, Hu Zhu, Taiyu Yan, Yu-Feng Yu*, “Flexible Subspace Clustering: A Joint Feature Selection and K-Means Clustering Framework”, Big Data Research, Vol. 23, 1-9, 2021.
[2]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, DOI:10.1109/TCSVT.2020.**, 2020.
[3]Xian-Liang Wang, Jiao Du, Guoxia Xu, Ignazio Passero, Hao Wang, Yu-Feng Yu*, “Kernelized Dual Regression Incorporating Local Information for Image Set Classification”, Pattern Recognition Letters, https://doi.org/10.1016/j.patrec.2020.10.015.
[4]Youwei Luo, Chuanxian Ren, Pengfei Ge, Ke-Kun Huang, Yu-Feng Yu, "Unsupervised domain adaptation via discriminative manifold embedding and alignment", AAAI Conference on Artificial Intelligence (AAAI), 2020, https://arxiv.org/pdf/2002.08675.pdf.
[5]Jiao Du, Meie Fang, Yu-Feng Yu, Gang Lu, “An adaptive two-scale biomedical image fusion method with statistical comparisons”, Computer Methods and Programs in Biomedicine, Vol. 196, 1-13, 2020.
[6]Jianyang Zhang, Fengmao. Lv, Guowu. Yang, Lei. Feng, Yu-Feng Yu, and Lixin. Duan, “Learning cross-domain semantic-visual relation for transductive zero-shot learning”, 2020, https://arxiv.org/pdf/2003.14105.pdf.
[7]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, DOI: 10.1109/tcyb.2019.**, 2019.
[8]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.
[9]Yu-Feng Yu,Qiangchang Wang, Min Jiang, ''Discriminative Common Feature Subspace Learning for Age-invariant Face Recognition'', IET Biometrics, DOI: 10.1049/iet-bmt.2019.0104, 2019.
[10]Hu Zhu, Yiming Qiao, Guoxia Xu, Lizhen Deng, Yu-Feng Yu, "DSPNet: A lightweight Dilated Convolution Neural Networks for Spectral Deconvolution with Self-Paced Learning", IEEE Transactions on Industrial Informatics, DOI:10.1109/TII.2019.**, 2019.
[11]Min Jiang, Bingyi Cui,Yu-Feng Yu*, Zhicheng Cao*, "DM-Free Curvelet Based Denoising for Astronomical Single Pulse Detection",IEEE Access, vol. 7, 107389-107399, 2019.
[12]Cong Yu, Guoxia Xu, Yu-Feng Yu, and Hao Wang"Large margin multi-kernel tensor correlation filter for visual tracking", Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR), 2019, https://doi.org/10.1117/12.**.
[13]Yu-FengYu, 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.
[14]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.
[15]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.
[16]Ke-Kun Huang, Dao-Qing Dai, Chuan-Xian Ren, Yu-Feng Yu, Zhao-Rong Lai, Fusing Landmark-based Features at Kernel Level for Face Recognition,Pattern Recognition, vol. 63, 406-415, 2017.
[17]Ke-Kun Huang, Hui Liu, Chuan-Xian Ren, Yu-Feng Yu, Zhao-Rong Lai, Remote Sensing Image Compression Based on Binary Tree and Optimized Truncation,Digital Signal Processing, vol. 64, 96-106, 2017.
[18]Hui Liu, Ke-Kun Huang, Chuan-Xian Ren, Yu-Feng Yu, Zhao-Rong Lai,Quadtree Coding with Adaptive Scanning Order for Space-borne Image Compression,Signal Processing: Image Communication, vol. 55, no. 7, pp. 1-9, 2017.
[19]Yu-Feng Yu, Chen Xu, Guo Li, Jing-Wen Li, Hybrid Algorithm Based on Particle Swarm Optimization and Differential Evolution, Journal of Computational Information Systems, vol.10, no. 11, pp. 4619–4627, 2014.
[20]Yu-Feng Yu, Guo Li, Chen Xu. "An Improved Particle Swarm Optimization Algorithm", Applied Mechanics and Materials, vol. 401, 1328-1335, 2013.