渐 令(Ling Jian)

中国石油大学(华东) , 副教授
研究兴趣:Numerical Optimizationdata mining & machine learning

中国石油大学(华东)统计学硕士生导师,从事机器学习与数据挖掘及相关应用领域的研究工作。

2017.3.5 our paper “Online Multi-Label Learning with Cost-Sensitive Budgeted SVM” is accepted by International Journal of Computational Science and Engineering

2016.12.3 our paper “A Chunk Updating LS-SVMs based on Block Gaussian Elimination Method” is accepted by Applied Soft Computing

2016.9.10 our paper “Toward Time-Evolving Feature Selection on Dynamic Networks” is accepted by ICDM 2016.

2016.5.26 our paper “Budget Online Learning Algorithm for Least Squares SVM” is accepted by IEEE Transactions on Neural Networks and Learning Systems

  1. Online Multi-Label Learning with Cost-Sensitive Budgeted SVM
    Jing Liu, Zhongwen Guo, Ling Jian, Like Qiu, Xupeng Wang. International Journal of Computational Science and Engineering: 2017
  2. A chunk updating LS-SVMs based on block Gaussian elimination method
    Xiaoxin Song, Ling Jian, Yunquan Song. Applied Soft Computing: 2017 ,51(2) ,96--104 下载全文
  3. Towerd Time-Evolving Feature Selection on Dynamic Networks
    Jundong Li, Xia Hu, Ling Jian, Huan Liu. In Proceedings of 16th IEEE International Conference on Data Mining (ICDM): 2016 下载全文
  4. Budget Online Learning Algorithm for Least Squares SVM
    Ling Jian, Shuquian Shen, Jundong Li, Xijun Liang, Lei Li. IEEE Transactions on Neural Networks and Learning Systems: 2016 ,10.1109/TNNLS.2016.2574332 下载全文
  5. Multi-Label Informed Feature Selection
    Ling Jian, Jundong Li, Kai Shu, Huan Liu. IJCAI: 2016 摘要  下载全文
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更新于:2017-04-10 13:39      累计访问量:2567

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