个人简历

2009.6博士毕业于湖北大学基础数学专业，湖北省优秀博士论文获得者。主持国家自然科学基金面上项目、青年基金等多项科研课题。主要从事新型学习算法设计、理论分析及应用研究，发表相关SCI论文30余篇，包括Appl. Comput. Harmon. Anal., J. Approx. Theory, IEEE TPAMI, IEEE TNNLS, IEEE T. Cybernetics, Neural Computation, Neural Networks, Bioinformatics等学术期刊，在机器学习顶级会议NIPS发表论文3篇。2016.3-2017.8在University of Texas at Arlington从事博士后研究，多次受邀请赴澳门大学、香港城市大学等进行合作研究。

研究领域

机器学习、统计学习、逼近论

近期论文

[1]Yulong Wang, Yuan YanTang, Luoqing Li, Hong Chen,Jianjia Pan.Atomicrepresentation-basedclassification:theory,algorithm andapplications, IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI:10.1109/TPAMI.2017.2780094
[2]Hong Chen, Yulong Wang.Kernel-basedsparse regression with the correntropy-induced loss,Applied and ComputationalHarmonic Analysis,44(1):144-164,2018.
[3]Xiaoqian Wang,Hong Chen, et al., Quantitative trait loci identification for brain endophenotypes via new additive model with random networks,Bioinformatics, 34(17): i866-i874.
[4]Tieliang Gong, Zongben Xu,Hong Chen.Generalization analysisofFredholm kernel regularized classifiers ,Neural Computation, 29(7):1879-1901,2017.
[5]Yicong Zhou,Hong Chen*, Rushi Lan, Zhibin Pan.Generalization performance of regularized ranking with multiscale kernels.IEEE Trans. Neural Netw. Learning Syst., 27: 993-1002, 2016.
[6]Hong Chen, Jiangtao Peng, Yicong Zhou, Zhibin Pan. Extreme learning machine for ranking: generalization analysis and applications,Neural Networks,53: 119--126, 2014.
[7]Hong Chen, Yi Tang, Luoqing Li, Yuan Yuan, Xuelong Li, Yuan-Yan Tang. Error analysis of stochastic gradient descent ranking,IEEE Transactions on Cybernetics,43: 898--909, 2013.
[8]Hong Chen, Yicong Zhou, Yuan-Yan Tang, Luoqing Li, Zhibin Pan. Convergence rate of semi-supervised greedy algorithm,Neural Networks,44: 44--50, 2013.
[9]Hong Chen, Zhibin Pan, Luoqing Li, Yuan-Yan Tang. Error analysis of coefficient-based regularized classifier for density level detection,Neural Computation,25: 1107-1121, 2013.
[10]Hong Chen. The convergence rate of a regularized ranking algorithm,Journal of Approximation Theory,164: 1513--1519, 2012.
[11]Hong Chen, Luoqing Li, Jiangtao Peng. Semi-supervised learning based on high density regions estimation,Neural Networks, 23(7): 812--818, 2010.
[12]Hong Chen, Luoqing Li. Semi-supervised multi-category classification with Imperfect model,IEEE Transactions on Neural Networks,20(10): 1594--1603, 2009.