个人简历

毕业于东北大学，现任大连理工大学控制科学与工程学院讲师，硕士生导师。主持过中央高校基本科研业务费项目和国家自然科学基金青年基金项目，参与多个国家自然科学基金重点项目。
教育经历
Education Background
2010.92014.7东北大学系统工程博士
2008.92010.7东北大学系统工程硕士
2003.92007.7东北大学软件工程学士
2000.92003.7辽宁师范大学附属高中
工作经历
Work Experience
2014.7至今大连理工大学电信学部讲师
专利
一种风电出力短期区间预测方法
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
科研项目
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
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
工业园区多能流综合管控与协同优化, 国家重点研发计划, 2018/05/18, 进行
能量综合管控原型系统研制及其应用验证, 国家重点研发计划, 2018/05/18, 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
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
智能制造知识库更新和模糊匹配技术研究, 国家科技支撑计划项目, 2014/10/01, 完成
科研奖励
中国自动化学会科技奖

研究领域

钢铁企业系统调度。""

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]吕志明,王霖青,赵珺,刘颖.一种基于自适应代理模型的并行贝叶斯优化方法[J],控制与决策,2018,34(5):1025-1031
[3]Lv, Zhiming,Wang, Linqing,Han, Zhongyang,Zhao, Jun,Wang, Wei.Surrogate-Assisted Particle Swarm Optimization Algorithm With Pareto Active Learning for Expensive Multi-Objective Optimization[J],IEEE-CAA JOURNAL OF AUTOMATICA SINICA,2019,6(3):838-849
[4]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
[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]吕志明,王霖青,赵珺,王伟.一种基于多代理模型的混合整数规划优化方法[J],控制与决策,2017,34(2):362-368
[7]陈龙,刘全利,王霖青,赵珺,王伟.基于数据的流程工业生产过程指标预测方法综述[J],自动化学报,2017,43(6):944-954
[8]Jin, Feng,Wang, Linqing,Zhao, Jun,Wang, Wei,Liu, Ying,Li, Jian.A Dynamic Causal Diagram and Constraint-based Method for Scheduling in Blast Furnace Gas System of the Steel Industry[A],6th International Symposium on Advanced Control of Industrial Processes (AdCONIP),2017,119-124
[9]Wang, Tianyu,Wang, Linqing,Zhao, Jun,Wang, Wei,Liu, Ying.Evolutionary Adaptive Dynamic Programming Algorithm for Converter Gas Scheduling of Steel Industry[A],6th International Symposium on Advanced Control of Industrial Processes (AdCONIP),2017,137-142
[10]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
[11]Wang, Qiang,Wang, Linqing,Zhao, Jun,Wang, Wei.Long-Term Time Series Prediction Based on Deep Denoising Recurrent Temporal Restricted Boltzmann Machine Network[A],2017 CHINESE AUTOMATION CONGRESS (CAC),2017,2422-2427
[12]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
[13]王霖青,赵珺,王伟.Hyperpath-based vehicle routing and scheduling problem in time-varying networks for airport shuttle service[J],Natural Computing,2017,16(63):1-16
[14]Zhang, Hongqi,Wang, Linqing,Zhao, Jun,Wang, Wei.Space Direction Neighborhood Preserving Embedding-based Monitoring and Scheduling Guidance for Blast Furnace Gas System[A],2017 6TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS (DDCLS),2017,467-472
[15]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
[16]赵珺,王伟,王霖青.Multi-Layer Encoding Genetic Algorithm-Based Granular Fuzzy Inference for[A],2016
[17]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
[18]Wang, Linqing,Zhao, Jun,Wang, Wei,Zhan, Zili.Genetic algorithm for regionalization problem with adaptive equity constraint[A],10th Asian Control Conference (ASCC),2015