| Multi-Label Informed Feature Selection Ling Jian, Jundong Li, Kai Shu, Huan Liu 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016 | 205* | 2016 |
| Modeling of the thermal state change of blast furnace hearth with support vector machines C Gao, L Jian, S Luo IEEE Transactions on Industrial Electronics 59 (2), 1134-1145, 2011 | 170 | 2011 |
| Rule extraction from fuzzy-based blast furnace SVM multiclassifier for decision-making C Gao, Q Ge, L Jian IEEE Transactions on Fuzzy Systems 22 (3), 586-596, 2013 | 82 | 2013 |
| Binary coding SVMs for the multiclass problem of blast furnace system L Jian, C Gao IEEE Transactions on Industrial Electronics 60 (9), 3846-3856, 2012 | 74 | 2012 |
| Constructing multiple kernel learning framework for blast furnace automation L Jian, C Gao, Z Xia IEEE Transactions on Automation Science and Engineering 9 (4), 763-777, 2012 | 65 | 2012 |
| Application of least squares support vector machines to predict the silicon content in blast furnace hot metal L Jian, C Gao, L Li, J Zeng ISIJ international 48 (11), 1659-1661, 2008 | 61 | 2008 |
| 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 35 (6), 725-730, 2009 | 50 | 2009 |
| Toward online node classification on streaming networks L Jian, J Li, H Liu Data Mining and Knowledge Discovery 32, 231-257, 2018 | 49 | 2018 |
| Data-driven modeling based on volterra series for multidimensional blast furnace system C Gao, L Jian, X Liu, J Chen, Y Sun IEEE transactions on neural networks 22 (12), 2272-2283, 2011 | 49 | 2011 |
| Data-driven modeling and predictive algorithm for complex blast furnace ironmaking process CH Gao, L Jian, JM Chen, YX Sun Acta Automatica Sinica 35 (6), 725-730, 2009 | 46 | 2009 |
| Design of a multiple kernel learning algorithm for LS-SVM by convex programming L Jian, Z Xia, X Liang, C Gao Neural Networks 24 (5), 476-483, 2011 | 43 | 2011 |
| Toward time-evolving feature selection on dynamic networks J Li, X Hu, L Jian, H Liu 2016 IEEE 16th International Conference on Data Mining (ICDM), 1003-1008, 2016 | 38 | 2016 |
| Budget online learning algorithm for least squares SVM L Jian, S Shen, J Li, X Liang, L Li IEEE transactions on neural networks and learning systems 28 (9), 2076-2087, 2016 | 38 | 2016 |
| A sliding‐window smooth support vector regression model for nonlinear blast furnace system L Jian, C Gao, Z Xia steel research international 82 (3), 169-179, 2011 | 38 | 2011 |
| Adaptive least squares support vector machine predictor for blast furnace ironmaking process L Jian, Y Song, S Shen, Y Wang, H Yin ISIJ International 55 (4), 845-850, 2015 | 27 | 2015 |
| A noise-resilient online learning algorithm for scene classification L Jian, F Gao, P Ren, Y Song, S Luo Remote Sensing 10 (11), 1836, 2018 | 26 | 2018 |
| Wiener model identification of blast furnace ironmaking process J Zeng, X Liu, C Gao, S Luo, L Jian ISIJ international 48 (12), 1734-1738, 2008 | 22 | 2008 |
| A weighted SVM ensemble predictor based on AdaBoost for blast furnace ironmaking process S Luo, Z Dai, T Chen, H Chen, L Jian Applied Intelligence 50, 1997-2008, 2020 | 20 | 2020 |
| A chunk updating LS-SVMs based on block Gaussian elimination method X Song, L Jian, Y Song Applied Soft Computing 51, 96-104, 2017 | 19 | 2017 |
| Robust exponential squared loss-based variable selection for high-dimensional single-index varying-coefficient model Y Song, L Jian, L Lin Journal of Computational and Applied Mathematics 308, 330-345, 2016 | 19 | 2016 |
Chuanhou GaoProfessor, School of Mathematical Sciences, Zhejiang UniversityVerified email at zju.edu.cn
