个人简历

从事冶金能源预测及平衡调整、基于知识的工业过程控制、企业智能信息管理平台等研究工作。作为项目负责人主持国家自然科学基金青年基金1项，主持多项企业横向课题，参与多项国家自然科学基金，国家863计划，国家科技支撑计划，企业横向课题多项。 研究成果已在我国宝钢、承钢、邯钢、大连特钢等多家冶金企业成功应用。通过教育部科技成果鉴定一项，鉴定水平国际领先。
在、、、等国际期刊上发表论文20余篇，在《自动化学报》,《控制与决策》,《控制理论与应用》,《计算机集成制造系统》等国内外重要学术期刊和学术会议上共发表论文20余篇，其中SCI收录论文10余篇。曾获辽宁省自然科学学术成果一等奖，申请发明专利6项，已获得软件著作权8项。
教育经历
Education Background
2004.92010.7大连理工大学控制理论与控制工程博士
2000.92004.7大连理工大学自动化学士
1997.92000.7大连理工大学附属中学
工作经历
Work Experience
2010.9至今大连理工大学讲师
专利
DMA分区管网泄漏在线检测定位系统及其检测定位方法
一种基于分段形态表示的工业序列数据缺失的填补方法
一种基于数学规划的冶金企业氧氮能源优化调度方法
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
一种基于粒度计算的冶金企业转炉煤气柜位长期预测方法
基于炼钢节奏估计的冶金企业转炉煤气发生量长期预测方法
一种基于数据的冶金企业高炉煤气动态预测方法
一种基于知识的冶金企业转炉煤气调度方法
一种基于数据的冶金企业高炉煤气动态预测方法
一种基于分段形态表示的工业序列数据缺失的填补方法
科研项目
硅钢部现场点检管理智能化, 2015/12/23-2016/09/30, 进行
产学研相结合的校企全程协同培养研究生模式的研究, 2015/09/17-2017/03/31, 进行
基于复杂网络的钢铁企业供氧系统优化调度研究, 国家自然科学基金, 2013/09/25-2016/12/31, 完成
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
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
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
多能流多尺度协同控制与优化调度, 国家重点研发计划, 2018/05/18, 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
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
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
东北特钢大连环保搬迁项目能源预测系统, 2010/12/01-2011/12/30, 进行
科研奖励
中国自动化学会科技奖
大连理工大学青年教师讲课竞赛
电子信息与电气工程学部青年教师讲课竞赛
其他奖励
电子信息与电气工程学部青年教师讲课竞赛 （2017年）
校青年教师讲课竞赛 （2017年）
校教学质量优良奖 （2014年）

研究领域

4）企业智能信息化平台
3）基于数据的系统建模及优化
2）工业生产计划与优化调度
1）复杂工业生产建模与智能优化（CIMS）""

近期论文

[1]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
[2]刘颖,刘若愚,赵珺,王伟.基于变分推理回声状态网络集成模型的工业数据区间预测[J],控制理论与应用,2018,35(8):1066-1073
[3]Wang, Tianyu,Zhao, Jun,Wang, Wei,Liu, Ying,Guo, Ge.Target-Oriented Granular Inference with Evolutionary Updating for Converter Gas Scheduling[A],2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC),2018,2610-2616
[4]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
[5]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
[6]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
[7]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
[8]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
[9]张乾乾,赵珺,盛春阳,王伟,刘颖.一种两阶段钢铁企业氧气系统平衡调整方法[J],控制工程,2017,24(4):716-721
[10]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
[11]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)
[12]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
[13]金锋,赵珺,盛春阳,王伟,刘颖.基于输入延迟支持向量机的氮气管网压力预测[J],信息与控制,2016,45(6):753-758
[14]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
[15]Chen, Long,Liu, Ying,Zhao, Jun,Wang, Wei,Liu, Quanli.Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks[J],ARTIFICIAL INTELLIGENCE REVIEW,2016,46(3):307-326
[16]Han, Zhongyang,Zhao, Jun,Wang, Wei,Liu, Ying.A two-stage method for predicting and scheduling energy in an oxygen/nitrogen system of the steel industry[J],CONTROL ENGINEERING PRACTICE,2016,52:35-45
[17]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
[18]陈龙,刘颖,赵珺,王伟.基于不完整输入动态贝叶斯网的高炉消耗煤气量区间预测[A],第28届中国控制与决策会议,2016,6
[19]赵珺,刘颖,王伟.Stacked Denoising Autoencoders Based Prediction on Gas Flow of A Blast Furnace[A],2016
[20]刘颖,赵珺,王伟.Prediction intervals for blast furnace consumption gas with incomplete input based on dynamic Bayesian networks,[A],2016
[21]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
[22]赵珺,崔庆磊,刘颖,王伟.基于多目标分层遗传模糊建模的磨矿过程溢流粒度软测量[J],控制与决策,2015,30(12):2187-2192
[23]张乾乾,赵珺,盛春阳,王伟,刘颖.一种两阶段钢铁企业氧气系统平衡调整方法[A],第26届中国过程控制会议（CPCC2015）,2015,1
[24]金锋,赵珺,盛春阳,王伟,刘颖.基于输入延迟最小二乘支持向量机的氮气管网压力预测[A],第26届中国过程控制会议（CPCC2015）,2015,1
[25]乔峥,刘颖,赵珺,王伟,郭戈.基于子集融合与规则简约的磨矿过程模糊建模[J],控制理论与应用,2015,32(6):770-777
[26]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
[27]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
[28]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
[29]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
[30]Qin S.,Liu Y.,Shao C..A neural network for solving nonlinear convex programming with linear equality and bounded constraints[J],Journal of Applied Nonlinear Dynamics,2015,4(1):43-52
[31]Zhao, Jun,Wang, Wei,Sun, Kan,Liu, Ying.A Bayesian Networks Structure Learning and Reasoning-Based Byproduct Gas Scheduling in Steel Industry[J],IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2014,11(4):1149-1154
[32]Song W.,Wang D.,Liu Y..Nonlinear system approximation and prediction using fuzzy Taylor neural network-based extreme learning machine[J],ICIC Express Letters, Part B: Applications,2014,5(5):1231-1236
[33]Han, Zhongyang,Zhao, Jun,Wang, Wei,Liu, Ying,Liu, Quanli.Granular Computing Concept based long-term prediction of Gas Tank Levels in Steel Industry[A],19th World Congress of the International-Federation-of-Automatic-Control (IFAC),2014,47(3):6105-6110
[34]冯仁光,赵珺,王伟,刘颖.基于改进的自适应权重FCM和形态学的浮选泡沫图像分割[A],第25届中国过程控制会议,2014,8
[35]周帆,赵珺,王伟,刘颖.基于混合高斯模型的独立成分分析在过程监测中的应用[A],第25届中国过程控制会议,2014,8
[36]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
[37]Lu X.,Zhao J.,Liu Y.,Wang W..A hybrid genetic algorithm for byproduct gas scheduling in steel plant[A],2014 11th World Congress on Intelligent Control and Automation, WCICA 2014,2014,2015-March(March):1805-1810
[38]Zhao, Jun,Liu, Kai,Wang, Wei,Liu, Ying.Adaptive fuzzy clustering based anomaly data detection in energy system of steel industry[J],INFORMATION SCIENCES,2014,259:335-345
[39]Zhao, Jun,Zhu, Xiaoliang,Wang, Wei,Liu, Ying.Extended Kalman filter-based Elman networks for industrial time series prediction with GPU acceleration[J],NEUROCOMPUTING,2013,118:215-224
[40]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
[41]Liu, Y.,Zhao, J.,Wang, W..A Gaussian Process Echo State Networks Model for Time Series Forecasting[A],Joint World Congress of the International-Fuzzy-Systems-Association (IFSA) / Annual Meeting of the North-American-Fuzzy-Information-Processing-Society (NAFIPS),2013,643-648
[42]赵珺,王伟,刘颖.ExtendedKalman filter-basedElmannetworksforindustrialtime[J],Neurocomputing,2013,118(10):215-224
[43]刘颖,王伟.An improved Generalized-Trend-Diffusion based data imputation for steel industry[J],Mathematical Problems in Engineering,2013,2013:1-10
[44]Han, Zhongyang,Liu, Ying,Zhao, Jun,Wang, Wei.Real time prediction for converter gas tank levels based on multi-output least square support vector regressor[J],CONTROL ENGINEERING PRACTICE,2012,20(12):1400-1409
[45]盛春阳,赵珺,王伟,刘颖.基于数据的高炉煤气系统模糊辨识[A],第23届过程控制会议,2012,1-8
[46]Liu, Ying,Liu, Quanli,Wang, Wei,Zhao, Jun,Leung, Henry.Data-driven based model for flow prediction of steam system in steel industry[J],INFORMATION SCIENCES,2012,193:104-114
[47]Zhao, Jun,Liu, Ying,Zhang, Xiaoping,Wang, Wei.A MKL based on-line prediction for gasholder level in steel industry[J],CONTROL ENGINEERING PRACTICE,2012,20(6):629-641
[48]Sheng, Chunyang,Zhao, Jun,Liu, Ying,Wang, Wei.Prediction for noisy nonlinear time series by echo state network based on dual estimation[J],NEUROCOMPUTING,2012,82:186-195
[49]盛春阳,赵珺,王伟,刘颖.基于T-S模型的高炉煤气系统模糊建模[J],上海交通大学学报,2012,46(12):1907-1913
[50]刘颖,赵珺,王伟.Study on balance scheduling based on the gasholder level prediction for blast furnace gas system in steel industry[J],Applied Mechanics and Materials,2012,128-129:1464-1467
[51]盛春阳,赵珺,王伟,刘颖.基于数据的高炉煤气系统模糊辨识[J],上海交通大学学报,2012,46(12):1907-1913
[52]盛春阳,赵珺,王伟,刘颖.改进回声状态网络在氧气流量预测中的应用[J],控制工程,2012,19(6):1147-1150
[53]刘颖,时飞飞,赵珺,王伟,丛力群,冯为民.基于改进回声状态网络的高炉煤气产耗预测[J],系统仿真学报,2011,23(10):2184-2189
[54]Zhao, Jun,Liu, Ying,Wang, Wei,Cong, Liqun,Liu, Yisha.An order batch scheduling method based on fuzzy model for cold rolling plant[A],IFAC Proceedings Volumes (IFAC-PapersOnline),2011,18(PART 1):10541-10546
[55]Zhao, Jun,Wang, Wei,Liu, Ying,Pedrycz, Witold.A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application[J],IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY,2011,19(3):507-520
[56]Liu Y.,Zhao J.,Wang W..A time series based prediction method for a coke oven gas system in steel industry[J],ICIC Express Letters,2010,4(4):1373-1378
[57]Liu, Ying,Zhao, Jun,Wang, Wei,Sheng, Chun-yang,Cong, Li-qun,Feng, Wei-min.Study on Prediction Method for Generation and Consumption of Coke Oven Gas[A],8th World Congress on Intelligent Control and Automation (WCICA),2010,4446-4451