師資隊伍

林強

系别:管理科學與工程系

職稱:講師

聯系方式:997187002@qq.com

科學研究:論文:
[1]    Lin Qiang, Xue Y M, Wen J, Zhong P*. A sharing multi-view feature selection method via Alternating Direction Method of Multipliers[J]. Neurocomputing, 2019, 333:124-134.
[2]    Lin Qiang, Y ang L R, Zhong P*, Zou H. Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion[J]. Knowledge-Based Systems,2021,229:107331.
[3]    Lin Qiang, Men M, Y ang L R, Zhong P*. A supervised multi-view feature selection method based on locally sparse regularization and block computing[J]. Information Sciences, 2022, 582:146-166.
[4]    Lin Qiang, Wang Z, Chen Y Y, Zhong P*. Supervised multi-view classification via the sparse learning joint the weighted elastic loss[J]. Signal Processing,2022, 191:108362.
[5]    Lin Qiang. Supervised Multi-view Feature Selection Via Maximum Margin Criterion Joint
Distributed Optimization, 2022 IEEE 8th International Conference on Cloud Computing and
Intelligent Systems (CCIS), https://ccis2022.casconf.cn/, 2022-11-26至2022-11-28
課題:
(1) 國家自然科學基金委員會, 面上項目,完全統計學習的小數據支持向量機,在研, 參與
(2) 國家自然科學基金委員會, 青年科學基金項目,基于圖像語義的自然語言信息隐藏研究,結題, 參與
(3) 江蘇高校哲學社會科學研究一般項目,智能制造系統多周期健康管理研究,在研,主持

主講課程:本科生課程:《機器學習》《大數據導論》《數據結構》

  • 教師簡介
  • 科學研究
  • 主講課程
  • 林強,管理學博士,江南大學商學院講師;主要研究方向為機器學習與最優化方法;在《Information Sciences》《Knowledge-Based Systems》《Signal Processing》《Neurocomputing》等雜志上發表論文,長期擔任《Transactions on Knowledge and Data Engineering》《Information Sciences》《Neurocomputing》等雜志匿名審稿人。



  • 論文:
    [1]    Lin Qiang, Xue Y M, Wen J, Zhong P*. A sharing multi-view feature selection method via Alternating Direction Method of Multipliers[J]. Neurocomputing, 2019, 333:124-134.
    [2]    Lin Qiang, Y ang L R, Zhong P*, Zou H. Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion[J]. Knowledge-Based Systems,2021,229:107331.
    [3]    Lin Qiang, Men M, Y ang L R, Zhong P*. A supervised multi-view feature selection method based on locally sparse regularization and block computing[J]. Information Sciences, 2022, 582:146-166.
    [4]    Lin Qiang, Wang Z, Chen Y Y, Zhong P*. Supervised multi-view classification via the sparse learning joint the weighted elastic loss[J]. Signal Processing,2022, 191:108362.
    [5]    Lin Qiang. Supervised Multi-view Feature Selection Via Maximum Margin Criterion Joint
    Distributed Optimization, 2022 IEEE 8th International Conference on Cloud Computing and
    Intelligent Systems (CCIS), https://ccis2022.casconf.cn/, 2022-11-26至2022-11-28
    課題:
    (1) 國家自然科學基金委員會, 面上項目,完全統計學習的小數據支持向量機,在研, 參與
    (2) 國家自然科學基金委員會, 青年科學基金項目,基于圖像語義的自然語言信息隐藏研究,結題, 參與
    (3) 江蘇高校哲學社會科學研究一般項目,智能制造系統多周期健康管理研究,在研,主持
  • 本科生課程:《機器學習》《大數據導論》《數據結構》
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