1. Exploiting Multi-Label Information for Noise Resilient Feature Selection
    Ling Jian, Jundong Li, Huan Liu. ACM Transactions on Intelligent Systems and Technology: 下载全文
  2. Toward Online Node Classification on Streaming Networks
    Ling Jian, Jundong Li, Huan Liu. Data Mining and Knowledge Discovery: 2018 ,32(1) ,231-257 下载全文
  3. Exploiting Expertise Rules for Statistical Data-Driven Modeling
    Ling Jian, Jundong Li, Shihua Luo. IEEE Transactions on Industrial Electronics: 2017 ,64(11) ,8647-8656 下载全文
  4. 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
  5. 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
  6. 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
  7. 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: 2017 ,28(9) ,2076-2087 下载全文
  8. Multi-Label Informed Feature Selection
    Ling Jian, IJCAI: 2016 ,1627-1633 摘要  下载全文
  9. L2 multiple kernel fuzzy SVM-based data fusion for improving peptide identification
    Ling Jian, Zhonghang Xia, Xinnan Niu, Xijun Liang, Primal Samir, Andrew J. Link. IEEE/ACM Transactions on Computational Biology and Bioinformatics: 2016 ,13(4) ,804-809 下载全文
  10. Robust check loss-based variable selection of high-dimensional single-index varying-coefficient model
    Song, Yunquan and Lin, Lu and Jian, Ling. Communications in Nonlinear Science and Numerical Simulation: 2016 ,36 ,109-128
  11. Adaptive Least Squares Support Vector Machine Predictor for Blast Furnace Ironmaking Process
    Jian, Ling and Song, Yunquan and Shen, Shuqian and Wang, Yan and Yin, Haiqing. ISIJ International: 2015 ,55(4) ,845-850 下载全文
  12. An efficient ACS algorithm for classification-based peptide identification
    Liang, Xijun and Xia, Zhonghang and Jian, Ling and Niu, Xinnan and Link, Andrew. Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on: 2015 ,286-289
  13. An adaptive classification model for peptide identification
    Liang, Xijun and Xia, Zhonghang and Jian, Ling and Niu, Xinnan and Link, Andrew. BMC Genomics: 2015 ,16(Suppl 11) ,S1
  14. On augmentation block triangular preconditioners for regularized saddle point problems
    Shen, Shu-Qian and Bao, Wen-Di and Jian, Ling. Computers & Mathematics with Applications: 2015 ,69(8) ,828-837
  15. Rule extraction from fuzzy-based blast furnace SVM multiclassifier for decision-making
    Gao, Chuanhou and Ge, Qinghuan and Jian, Ling. Fuzzy Systems, IEEE Transactions on: 2014 ,22(3) ,586-596 下载全文
  16. On the eigenvalue distribution of preconditioned nonsymmetric saddle point matrices
    Shen, Shu-Qian and Jian, Ling and Bao, Wen-Di and Huang, Ting-Zhu. Numerical Linear Algebra with Applications: 2014 ,21(4) ,557-568
  17. Binary coding SVMs for the multiclass problem of blast furnace system
    Jian, Ling and Gao, Chuanhou. Industrial Electronics, IEEE Transactions on: 2013 ,60(9) ,3846-3856 下载全文
  18. A novel algorithm for validating peptide identification from a shotgun proteomics search engine
    Jian, Ling and Niu, Xinnan and Xia, Zhonghang and Samir, Parimal and Sumanasekera, Chiranthani and Mu, Zheng and Jennings, Jennifer L and Hoek, Kristen L and Allos, Tara and Howard, Leigh M and others. Journal of Proteome Research: 2013 ,12(3) ,1108-1119 下载全文
  19. Block Empirical Likelihood for Longitudinal Single-Index Varying-Coefficient Model
    Song, Yunquan and Jian, Ling and Lin, Lu. Journal of Applied Mathematics: 2013 ,2013
  20. Modeling of the thermal state change of blast furnace hearth with support vector machines
    Chuanhou Gao, Ling Jian, Shihua Luo. Industrial Electronics, IEEE Transactions on: 2012 ,59(2) ,1134-1145 下载全文
  21. Constructing multiple kernel learning framework for blast furnace automation
    Jian, Ling and Gao, Chuanhou and Xia, Zhonghang. Automation Science and Engineering, IEEE Transactions on: 2012 ,9(4) ,763-777 下载全文
  22. Improving the solution of least squares support vector machines with application to a blast furnace system
    Jian, Ling and Shen, Shuqian and Song, Yunquan. Journal of Applied Mathematics: 2012 ,2012 下载全文
  23. Fuzzy support vector machines based algorithm for peptide identification from tandem mass spectra
    Jian, Ling and Xia, Zunquan. International Journal of Pure and Applied Mathematics: 2012 ,76(3) ,439-447
  24. A Sliding-window Smooth Support Vector Regression Model for Nonlinear Blast Furnace System
    Jian, Ling and Gao, Chuanhou and Xia, Zunquan. Steel Research International: 2011 ,82(3) ,169-179 下载全文
  25. Design of a multiple kernel learning algorithm for LS-SVM by convex programming
    Ling Jian, Zhonghang Xia, Xijun Liang, Chuanhou Gao. Neural Networks: 2011 摘要  下载全文
  26. Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System
    Gao, Chuanhou and Jian, Ling and Liu, Xueyi and Chen, Jiming and Sun, Youxian. Neural Networks, IEEE Transactions on: 2011 ,22(12) ,2272-2283
  27. 约束优化问题的修正共轭梯度投影算法
    孙清滢,高宝,渐令,王长钰. 应用数学学报: 2010 , 33(4) 摘要 
  28. Data-driven Modeling and Predictive Algorithm for Complex Blast Furnace Ironmaking Process [J]
    Gao, Chuanhou and Jian, Ling and Chen, Jiming and Sun, Youxian. Acta Automatica Sinica: 2009 ,35(6) ,721-730
  29. 复杂高炉炼铁过程的数据驱动建模及预测算法
    郜传厚,渐令,陈积明,孙优贤. 自动化学报: 2008 摘要 
  30. Wiener Model Identification of Blast Furnace Ironmaking Process
    Zeng, Jiu-Sun and Liu, Xiang-Guan and Gao, Chuan-Hou and Luo, Shi-Hua and Jian, Ling. ISIJ international: 2008 ,48(12) ,1734--1738
  31. Application of Least Squares Support Vector Machines to Predict the Silicon Content in Blast Furnace Hot Metal
    Jian, Ling and Gao, Chuanhou and Li, Lei and Zeng, Jiusun. ISIJ international: 2008 ,48(11) ,1659-1661 下载全文
  32. Classifier of silicon content in hot metal based on support vector machines
    Jian, Ling and Gong, Shuhua and Wang, Yikang. Journal of Zhejiang University: 2007 ,34(3) ,282-285
  33. Application of SVM to prediction of silicon content in hot metal
    Jian, Ling and Liu, Xiangguan. Metallurgical Industry Automation: 2005 ,3 ,33-36