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    陳洪
    發布時間:2015-05-18

      

    陳洪,教授,博士生導師。研究方向為機器學習、統計學習理論。

    湖北省優秀博士論文獲得者,入選華中農業大學十大青年崗位能手、碩彥計劃青年拔尖人才。主持國家自然科學基金面上項目、青年基金等5國家級課題。在人工智能頂會NIPS、ICML發表論文5,Appl. Comput. Harmon. Anal., J. Approx. Theory, IEEE TPAMI, IEEE TNNLS, IEEE TCYB, Neural Computation, Neural Networks, Bioinformatics等知名期刊發表論文30余篇。University of Texas at Arlington從事博士后研究,多次受邀赴澳門大學、香港城市大學、南方科技大學等進行合作研究。

    歡迎有志從事機器學習理論與應用研究的同學來課題組攻讀碩士、博士及從事博士后研究。課題組現有教授(博導)2名,副教授(碩導)6名,講師(博士)2名。 課題組博士招生專業: 生物信息、農業信息工程;碩士招生專業:數學、計算機、應用統計。聯系方式:chenh@mail.hzau.edu.cn.

    人工智能頂會論文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. Regularized modal regression with applications in cognitive impairment prediction, NIPS, 2017. (# contributed equally)

    [5] Hong Chen, Haifeng Xia,Wendong Cai,Heng Huang. Error analysis of generalized nystr?m kernel regression, NIPS, 2016.

    部分SCI期刊論文:

    [1] Hong Chen, Yingjie Wang et al. Sparse modal additive model, IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2020.3005144,2020.

    [2] Hong Chen, Yulong Wang. Kernel-based sparse regression with the correntropy-induced loss, Applied and Computational Harmonic 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. 

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