陈洪，教授，博士生导师。研究方向为机器学习、统计学习理论。
湖北省优秀博士论文获得者，入选华中农业大学十大青年岗位能手、硕彦计划青年拔尖人才。主持国家自然科学基金面上项目、青年基金等5项国家级课题。在人工智能顶会NIPS、ICML发表论文5篇，在Appl. Comput. Harmon. Anal., J. Approx. Theory, IEEE TPAMI, IEEE TNNLS, IEEE TCYB, Neural Computation, Neural Networks, Bioinformatics等知名期刊发表论文30余篇。曾在University of Texas at Arlington从事博士后研究，多次受邀赴澳门大学、香港城市大学、南方科技大学等进行合作研究。
欢迎有志从事机器学习理论与应用研究的同学来课题组攻读硕士、博士及从事博士后研究。课题组现有教授（博导）2名，副教授（硕导）6名，讲师（博士）2名。课题组博士招生专业： 生物信息、农业信息工程；硕士招生专业：数学、计算机、应用统计。联系方式：chenh@mail.hzau.edu.cn.
人工智能顶会论文（CCF A）：
[1]Yingjie Wang,Hong Chen*, et al. Multi-task additive models for robust estimation and automatic structure discovery, NeurIPS, 2020. (* corresponding author)
[2]Guodong Liu#,Hong Chen#*, Heng Huang. Sparse shrunk additive models, ICML, 2020. (# contributed equally，* corresponding author)
[3]Hong Chen,Xiaoqian Wang,Cheng Deng,Heng Huang. Group sparse additive machine,NIPS, 2017.
[4]Xiaoqian Wang#,Hong Chen#,Dinggang Shen,Heng Huang. Regularizedmodalregressionwith applications incognitive impairment prediction,NIPS, 2017.(# contributed equally)
[5]Hong Chen, Haifeng Xia,Wendong Cai,Heng Huang. Error analysis of generalized nystr?m kernelregression,NIPS,2016.
部分SCI期刊论文：
[1]Hong Chen, Yingjie Wang et al. Sparse modal additive model, IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2020.**，2020.
[2]Hong Chen, Yulong Wang.Kernel-basedsparse regression with the correntropy-induced loss,Applied and ComputationalHarmonic Analysis,44(1):144-164,2018.
[3]Yicong Zhou#,Hong Chen#*, et al.Generalization performance of regularized ranking with multiscale kernels.IEEE Transactions on Neural Networks and Learning Systems, 27: 993-1002, 2016.
[4]Hong Chen, Jiangtao Peng, Yicong Zhou, Zhibin Pan. Extreme learning machine for ranking: generalization analysis and applications,Neural Networks,53: 119--126, 2014.
[5]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.
[6]Hong Chen, Yicong Zhou, Yuan-Yan Tang, Luoqing Li, Zhibin Pan. Convergence rate of semi-supervised greedy algorithm,Neural Networks,44: 44--50, 2013.
[7]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.
[8]Hong Chen. The convergence rate of a regularized ranking algorithm,Journal of Approximation Theory,164: 1513--1519, 2012.