师资队伍

林强

系别:管理科学与工程系

职称:讲师

联系方式:997187002@qq.com

科学研究:论文:
[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
课题:
(1) 国家自然科学基金委员会, 面上项目,完全统计学习的小数据支持向量机,在研, 参与
(2) 国家自然科学基金委员会, 青年科学基金项目,基于图像语义的自然语言信息隐藏研究,结题, 参与
(3) 江苏高校哲学社会科学研究一般项目,智能制造系统多周期健康管理研究,在研,主持

主讲课程:本科生课程:《机器学习》《大数据导论》《数据结构》

  • 教师简介
  • 科学研究
  • 主讲课程
  • 林强,管理学博士,OG体育综合平台讲师;主要研究方向为机器学习与最优化方法;在《Information Sciences》《Knowledge-Based Systems》《Signal Processing》《Neurocomputing》等杂志上发表论文,长期担任《Transactions on Knowledge and Data Engineering》《Information Sciences》《Neurocomputing》等杂志匿名审稿人。



  • 论文:
    [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
    课题:
    (1) 国家自然科学基金委员会, 面上项目,完全统计学习的小数据支持向量机,在研, 参与
    (2) 国家自然科学基金委员会, 青年科学基金项目,基于图像语义的自然语言信息隐藏研究,结题, 参与
    (3) 江苏高校哲学社会科学研究一般项目,智能制造系统多周期健康管理研究,在研,主持
  • 本科生课程:《机器学习》《大数据导论》《数据结构》