个人简历

1981年11月出生，从1999年到2003年在郑州大学数学系学习，于2003年获信息与计算科学专业学士学位；从2003年到2008年在中山大学数学与计算科学学院硕博连读，于2008年6月获应用数学专业博士学位。攻读博士学位期间主要从事统计机器学习方法的研究。2008年7月博士毕业后进入华南农业大学数学与信息学院工作。2009年7月到9月和2010年7月到9月在香港城市大学电子工程系担任Senior Research Associate。2011年2月到2012年2月在美国圣路易斯华盛顿大学电子与系统工程系从事博士后研究。2018年8月到2019年8月在英国萨里大学计算机系从事访问学者研究。2013年入选广东省优秀青年教师培养计划，2014年入选华南农业大学青年教授。主持完成1项国家自然科学基金青年项目和1项面上项目，1项教育部留学回国人员科研启动基金，1项广东省教育教学改革项目。发表研究论文十余篇，其中SCI期刊7篇，EI国际会议12篇。
教改项目
基于专业导向的《高等数学》教学模式创新与资源优化配置研究与实践，广东省高等教育教学研究和改革项目，2016.9-2018.8，2万，主持。
科研项目
1.高维时间序列因子自回归模型的统计推断及应用研究，国家自然科学基金重大研究计划培育项目（91746102），2018.1-2021.12，43万，第4。
2.局部多输出回归方法研究及在光谱反射率重建中的应用，国家自然科学基金面上项目（61375006），2014.1-2017.12，68万，主持。
3.基于多输出分量相关性信息的回归方法研究及其应用，广东省优秀青年教师培养计划（Yq2013032），2014.1-2016.12，40万，主持。
4.局部多输出回归方法研究及在光谱反射率重建中的应用，教育部留学回国人员科研启动基金，2014.1-2015.12，3万，主持。
5.基于冗余多尺度表示的小框架核回归方法研究及在光谱反射率重建中的应用，国家自然科学基金青年基金（60903094），2010.1-2012.12，17万，主持。
软件著作权基于RGB图像的高光谱重建软件V1.0，软著登记号2020SR0120027，2020.2.
英文个人简介
WEIFENG ZHANG received a Ph.D. degree in Applied Mathematics from Sun Yat-Sen University, China. He is currently an associate professor in the Department of Mathematics of South China Agricultural University, China. His research areas are mainly in statistical machine learning methods and their applications. Specialization in regression methods, local learning, multi-output learning and application to spectral reflectance estimation, bioinformatics, and revenue management.

研究领域

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近期论文

SCI期刊论文
[1]Kaixuan Cuan, Dejun Lu, and Weifeng Zhang*,Spectral reflectance reconstruction with the locally weighted linear model, Optical and Quantum Electronics, 51(6): 175, 2019.
[2]De-Jun Lu, Kai-Xuan Cuan, and Wei-Feng Zhang*, Research on spectral reflectance estimation using locally weighted linear regression within k-nearest neighbors, Spectroscopy and Spectral Analysis, 38(12), 3708-3712, 2018.
[3]Wei-Feng Zhang*,and Hong Yan, Exon prediction using empirical mode decomposition and Fourier transform of structural profiles of DNA sequences, Pattern Recognition, 45(3), 947-955, 2012.
[4]Wei-Feng Zhang*,Gongguo Tang, Dao-Qing Dai, and Arye Nehorai, Estimation of reflectance from camera responses by the regularized local linear model, Optics Letters, 36(19), 3933-3935, 2011.
[5]Wei-Feng Zhang*, Chao-Chun Liu and Hong Yan, Clustering of temporal gene expression data by regularized spline regression and an energy based similarity measure, Pattern Recognition, 43, 3969-3976, 2010.
[6]Wei-Feng Zhang*,Dao-Qing Dai and Hong Yan, Framelet kernels with applications to support vector regression and regularization networks, IEEE Transactions on System, Man and Cybernetics, Part B, 40(4), 1128-1144, 2010.
[7]Wei-Feng Zhang*, and Dao-Qing Dai, Spectral reflectance estimation from camera responses by support vector regression and a composite model, Journal of the Optical Society of America A, 25(9), 2286-2296, 2008.

EI国际会议论文
[1]Xiaxu He, Pengfei Liu, Kejing He, and Weifeng Zhang, Knowledge map analysis of Mao Zedong thought research based on CSSCI papers, In 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), pp. 629-633, 2019.
[2]Zhirui Huang, Pengfei Liu, Xiaxu He, Yanhua Chen, and Weifeng Zhang, Mobile data mining system based-on cloud computing, In 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP), pp. 557-561, 2018.
[3]De-Jun Lu, Wei-Feng Zhang*,Kai-Xuan Cuan, and Peng-Fei Liu, Reflectance estimation based on locally weighted linear regression methods, the 9th International Symposium on Intelligence Computation and Applications 2017 (ISICA2017), Guangzhou, Nov 18-19, 2017.
[4]Pengfei Liu, Xiaxu He, Weifeng Zhang, and Enkai Chen, Exploring migration issue based on multi-agent modeling, the 9th International Symposium on Intelligence Computation and Applications 2017 (ISICA2017), Guangzhou, Nov 18-19, 2017.
[5]Xiaxu He, Pengfei Liu*, and Weifeng Zhang, Design and implementation of a unified MOOC recommendation system for social work major experiences and lessons, 2017 IEEE International conference on computational science and engineering (CSE) and IEEE conference on embedded and ubiquitous computing (EUC), Guangzhou, Jul 21-24, 2017.
[6]Xiaxu He, Pengfei Liu, Weifeng Zhang, and Kejing He, Study on the mobile cloud framework for sociology: An empirical implementation, 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), Chengdu, July 5-7, pp. 9-14, 2016.
[7]Wei-Feng Zhang*, and De-Jun Lu, Regularized local linear model with core neighbors for reflectance estimation, 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), HongKong, Oct 9-12, pp. 2996-2999, 2015.
[8]Yajun Wang, Jingyan Liu, Wei-Feng Zhang*.Time-of-use ticket pricing strategy of tourist attractions in China by game theory. 12th Asia Pacific CHRIE (APacCHRIE) Conference 2014, 21-24 May, Kuala Lumpur, Malaysia. Best Paper Award (最佳论文奖, 5/270+).
[9]Wei-Feng Zhang*,Peng Yang, Dao-Qing Dai and Arye Nehorai, Reflectance estimation using local regression methods, the 8th International Symposium on Neural Networks (ISNN 2012), 11-14 July, Shengyang, Lecture Notes in Computer Science, Vol. 7367, pp. 116-122, 2012.
[10]Wei-Feng Zhang*,Chao-Chun Liu and Hong Yan, Temporal gene expression profiles reconstruction by support vector regression and framelet kernel, the 7th International Symposium on Neural Networks (ISNN 2010), Shanghai, Lecture Notes in Computer Science, Vol. 6064, pp. 68-74, 2010.
[11]Wei-Feng Zhang*,Chao-Chun Liu and Hong Yan, Gene Time series data clustering based on continuous representations and an energy based similarity measure, Proceedings of the 9th International Conference on Machine Learning and Cybernetics 2010 (ICMLC2010), 11-14 July, 2010, Qingdao, Vol. 4, pp. 2079-2083, 2010.
[12]Wei-Feng Zhang*, Dao-Qing Dai and Hong Yan, On a new class of framelet kernels for support vector regression and regularization networks, the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'07), Nanjing, Lecture Notes in Artificial Intelligence, Vol. 4426, pp. 355–366, 2007.