个人简历

教育经历
Education Background
2009.92016.4大连理工大学控制理论与控制工程博士
2005.92009.6大连理工大学自动化学士
2002.92005.7营口市高级中学
工作经历
Work Experience
2016.4至今大连理工大学控制科学与工程学院讲师
专利
一种基于复杂网络社区发现的工业数据样本筛选方法
一种基于多目标密度聚类的高炉煤气系统模型隶属度函数确定方法
一种基于知识的冶金企业转炉煤气调度方法
科研项目
基于迁移学习的钢铁工业副产煤气调度知识建模方法研究, 中国博士后科学基金, 2017/11/13, 进行
基于多源知识集成迁移的钢铁企业蒸汽系统动态调度方法研究, 国家自然科学基金, 2017/08/17, 进行
多情境多能流耦合调度知识生成与深层优化研究, 国家自然科学基金, 2018/08/16, 进行
基于数据与知识的制造过程能质流协同运行优化理论与关键技术, 国家自然科学基金, 2018/08/16, 进行
基于粒度强化学习的炼钢过程气体能源动态预测调度方法研究, 国家自然科学基金, 2017/08/17, 进行
基于深度网络的钢铁工业能源系统隐性调度知识提取与可释研究及应用, 国家自然科学基金, 2017/08/17, 进行
2016年大连科技之星项目(2015年称号)-钢铁工序间匹配优化与节能关键技术及示范应用, 大连市青年科技之星项目, 2016/10/11, 进行
基于深度学习的钢铁企业蒸汽系统鲁棒预测方法, 国家自然科学基金, 2016/08/17, 进行
基于概率图模型的钢铁企业副产煤气系统动态调度方法研究, 国家自然科学基金, 2016/08/17, 进行
科研奖励
中国自动化学会科技奖
其他奖励
大连市优秀科技成果奖 （2017年）

研究领域

"流程工业建模与控制"

近期论文

[1]王强,吕政,王霖青,王伟.基于深度去噪核映射的长期预测模型[J],控制与决策,2018,34(5):989-996
[2]Lv, Zheng,Zhao, Jun,Zhai, Yanwei,Wang, Wei.Non-iterative T-S fuzzy modeling with random hidden-layer structure for BFG pipeline pressure prediction[J],CONTROL ENGINEERING PRACTICE,2018,76:96-103
[3]Ge, Minghe,Wang, Linqing,Lv, Zheng,Zhao, Jun.A PH multiplier-based PSO method for metal balance in nonferrous metal industry[J],IFAC-PapersOnLine,2018,51(21):273-277
[4]翟延伟,吕政,赵珺,王伟.基于合作协同进化的多能流系统不确定多目标决策方法[A],2018中国过程控制会议,2018
[5]王强,吕政,王霖青,王伟.基于深度去噪核映射的长期预测模型[J],控制与决策,2018
[6]王春峰,吕政,赵珺,王伟.Heterogeneous Transfer Learning Based on Stack Sparse Auto-Encoders for Fault Diagnosis[A],2018 Chinese Automation Congress (CAC),2018
[7]Huang, Yan,Lv, Zheng,Liu, Ying,Wang, Wei.A Fuzzy Modeling Method Based on Dirichlet Process Mixture Model for Blast Furnace Gas System[J],IFAC-PapersOnLine,2018,51(21):301-306
[8]Jin, Feng,Lv, Zheng,Li, Maohua,Mou, Lei,Zhao, Jun,Wang, Wei.A Causal Model-Based Scheduling Approach for Coke Oven Gas System in Steel Industry[A],IFAC PAPERSONLINE,2018,51(21):7-12
[9]刘洋,吕政,赵珺,刘颖,王伟.基于模糊分类的煤气系统调度调整点在线识别[A],第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年,2017,1
[10]Lv Z.,Zhao J.,Liu Y.,Wang W.,Han M..A multi-objective clustering-based membership functions formation method for fuzzy modeling of gas pipeline pressure[J],IFAC-PapersOnLine,2017,50(1):12823-12828
[11]吕政,赵珺,刘颖,王伟,韩敏.A multi-objective clustering-based membership functions formation method for fuzzy modeling of gas pipeline pressure[A],The 20th World Congress of the International Federation of Automatic Control,2017
[12]Lu, Chengcheng,Lv, Zheng,Wang, Linqing,Zhao, Jun,Wang, Wei.Fuzzy Model Based on Dynamic Weights of APs for Indoor Localization[A],PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017),2017,4323-4328
[13]Zhai, Yanwei,Lv, Zheng,Liu, Ying,Zhao, Jun,Wang, Wei.An Improved WM Fuzzy Modeling Method for Blast Furnace Gas System[A],PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017),2017,9737-9742
[14]Song, Xiaohan,Lv, Zheng,Zhao, Jun,Wang, Wei,Wang, Linqing.Improved Dynamic Time Warping Algorithm with Adaptive Scaling for Steel Plate Thickness Matching[A],2017 11TH ASIAN CONTROL CONFERENCE (ASCC),2017,1401-1405
[15]Sun, Jian,Lv, Zheng,Zhao, Jun,Wang, Wei,Wang, Linqing,Guo, Ge.Joint distribution adaptation-based transfer learning for status classification of blast furnace gas pipeline network[A],2017 11TH ASIAN CONTROL CONFERENCE (ASCC),2017,2007-2012
[16]吕政,赵珺,刘颖,王伟.基于模糊分类的煤气系统调度调整点在线识别[J],控制工程,2017,24(9)
[17]Lv, Zheng,Zhao, Jun,Liu, Ying,Wang, Wei.Data imputation for gas flow data in steel industry based on non-equal-length granules correlation coefficient[J],INFORMATION SCIENCES,2016,367:311-323
[18]刘颖,张平,赵珺,吕政,王伟.基于尺度不变特征变换的浮选泡沫图像动态特性提取方法[J],控制理论与应用,2016,33(6):718-726
[19]Lv, Zheng,Zhao, Jun,Liu, Ying,Wang, Wei.Use of a quantile regression based echo state network ensemble for construction of prediction Intervals of gas flow in a blast furnace[J],CONTROL ENGINEERING PRACTICE,2016,46:94-104
[20]吕政,赵珺,刘颖,王伟.基于最大方差权信息系数的煤气数据填补[J],控制理论与应用,2015,32(5):646-654
[21]Lv, Zhiming,Lv, Zheng,Zhao, Jun,Liu, Ying,Wang, Wei.A simplified nonlinear modeling for a two-stage grinding process circuit[A],5th International Conference on Information Science and Technology (ICIST),2015,610-614
[22]Lv, Zheng,Liu, Ying,Zhao, Jun,Wang, Wei.Soft computing for overflow particle size in grinding process based on hybrid case based reasoning[J],APPLIED SOFT COMPUTING,2015,27(27):533-542
[23]Lv, Zheng,Zhao, Jun,Wang, Wei,Liu, Ying,Wang, Linqing.Subset fusion based T-S fuzzy modeling for blast furnace gas system in steel industry[A],10th Asian Control Conference (ASCC),2015
[24]吕政,赵珺,刘颖,王伟.基于最大方差权信息系数的冶金煤气流量数据填补[A],第25届中国过程控制会议,2014,11
[25]Lv Z.,Liu Y.,Zhao J.,Wang W..Bayesian neural networks based pipeline pressure prediction for steam system in steel industry[A],2013 5th International Conference on Modelling, Identification and Control, ICMIC 2013,2013,344-349