Title：associated  professor

E-mail：lingwang@ustb.edu.cn

Office：1123B

Education：

2003.9--2007.4, PhD student, Department of Automation, School of Information Engineering, University of Science and Technology, Beijing (USTB), received PhD Degree in March, 2007

Work Experience：

2007.4--, Department of Control Science and Engineering, School of Automation & Electrical Engineering, University of Science and Technology.

Research Interests：

complex system modeling; machine learning; data mining; pattern recognition

Courses：

Embedded Control System; Electronic Design Automation; data mining and knowledge discovery

Selected Publications：

1. Wang Ling, Data Mining Learning Method [D], Metallurgical Industry Press, 2017.7

2. Wang Ling, Wu Lulu, Fuzzy rules extraction based on output-interval clustering and support vector regression for forecasting. Journal of Intelligent & Fuzzy Systems, 2014, 27(5): 2563–2571.

3. Wang L, Li S L, Sun H, et al. A classification and regression algorithm based on quantitative association rule tree[J]. Journal of Intelligent &fuzzy system, 2016, 31(3):1407-1418.

4. ling wang, Jiaoyao Meng, Ruixia Huang, Hui Zhu, Kaixiang Peng, Incremental feature Weighting for Fuzzy Feature Selection[J],Fuzzy Sets and Systems, 2019,357:66-76

5. Ling Wang, JianYao Meng, PeiPei Xu, KaiXiang Peng. Mining temporal association rules with frequent itemsets tree[J]. Applied Soft Computing, 2018, 62: 817-829.

6. Ling Wang, PeiPei Xu. A new evolving fuzzy rule-based classification method for PD recognition system[C], IWACIII 2017 - 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics,2017,11:1-11.

7. LingWang, Hui Zhu, Ruixia Huang. A Novel Association Rule Prediction Algorithm for Classification and Regression[C]. 2018 IEEE Conference on Decision and Control (CDC),2018, 358-363.

8. Wang, Ling, Zhu, Hui; Huang, Ruixia, Prediction model of steel mechanical properties based on integrated KPLS[C]. Proceedings of 2018 Chinese Intelligent Systems Conference, 2019: 897-906

   Selected Projects：

   1.The National 863 Project "Research and Demonstration of MES Framework and Key Technologies in Metallurgical Industry"

   2.The Key Project of the Ministry of Science and Technology of China "Industrial Process Modeling Platform"

   3. The Key Project of the Ministry of Science and Technology of China "Research on Data Mining Method and Software Development of National Material Natural Environment Corrosion"

   4. The Fundamental Research Funds for the China Cen-tral Universities of USTB "Data-driven Modeling and Optimizing Research on Mechanical Properties Prediction Process of Hot Rolled Strip"

   5. The National Natural Science Foundation of China " Interpretability issues for incremental learning in Evolving Fuzzy System"

   Honors & Awards：

   1.Guided students to participate in the Sports System Design and Development Competition of "Siemens" Cup Challenge for Industrial Automation hosted by Minister of Education in 2015, won the special prize in the National Final.

   2.Guided students to participate in the Sports System Design and Development Competition of "Siemens" Cup Challenge for China Intelligent Manufacturing hosted by Minister of Education in 2017, won the first prize in the National Final.

   3.In 2017,won the 8th Graduate Education Award of University of Science and Technology Beijing - Excellent Graduate Teaching Award.