韩永明

韩永明，男，博士，教授，博士生导师，计算机系系主任。2016年6月博士后出站作为北京化工大学“青年后备引进人才”留校任教，2017年5月入选北京化工大学“青年英才百人计划”，现任中国自动化学会DDCLS专委会委员及青工委委员、中国人工智能学会青工委委员、中国化工学会和中国计算机学会专业会员、北京自动化学会理事等。目前，以第一作者/通讯联系人发表学术论文130余篇（SCI收录90余篇：H因子24，中科院/JCR一区45篇，二区25篇（TOP 61篇，ESI高被引8篇、中国化工学会2014-2018高被引论文1篇），授权发明专利9项，软著9项，主持国家自然科学基金面上、青年项目和北京市优秀人才培养资助计划等项目十余项。分别获得北京市科协2020-2022年度青年人才托举计划、北京市委组织部优秀人才计划、2021年中国过程控制会议张钟俊院士优秀论文奖、2021年中国控制与决策会议最受欢迎学术论文奖、北京市优秀教育教学成果二等奖，2018年北京自动化学会“青年科技创新人才”奖等。研究方向：人工智能、机器学习、系统建模及优化、能效评价、数据分析与信息集成、智能优化等。

主要科研项目 Research Projects

主要论文Research Paper

[1] Yongming Han, Jingze Li, Xiaoyi Lou, Chenyu Fan, Zhiqiang Geng*. Energy saving of buildings for reducing carbon dioxide emissions using novel dendrite net integrated adaptive mean square gradient. Applied Energy, 309 (2022) 118409

 [2] Zhiqiang Geng, Jun Li, Yongming Han *, Yanhui Zhang. Novel target attention convolutional neural network for relation Classification. Information Sciences 597 (2022) 24–37

[3] Yongming Han, Xiaoyi Lou, Mingfei Feng, Zhiqiang Geng *, Liangchang Chen*, Weiying Ping, Gang Lu *. Energy consumption analysis and saving of buildings based on static and dynamic input-output models. Energy 2022, 239, Part C, 122240

[4] Zhiqiang Geng, Zhiwei Chen, Qingchao Meng, Yongming Han*. Novel Transformer based on Gated Convolutional Neural Network for Dynamic Soft Sensor Modeling of Industrial Processes. IEEE Transactions on Industrial Informatics, 2022, 18(3): 1521-1529.

[5] Yongming Han, Yanwei Lang, Minjie Cheng, Zhiqiang Geng*, Guofei Chen, Tao Xia*. DTaxa: An Actor-Critic for Automatic Taxonomy Induction. Engineering Applications of Artificial Intelligence. 2021, 106:104501

[6] Yongming Han, Qi Wang, Ning Ding, Zhiqiang Geng*. Short-time wavelet entropy integrating improved LSTM for fault diagnosis of modular multilevel converter. IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2020.3041850.

 [7] Xuan Hu; Yongming Han*, Zhiqiang Geng*. Novel Trajectory Representation Learning Method and its Application to Trajectory-User Linking. IEEE Transactions on Instrumentation & Measurement. 2021,70, 1-9.

[8] Zhiqiang Geng, Yanhui Zhang, Yongming Han*. Joint Entity and Relation Extraction Model Based on Rich Semantics. Neurocomputing. 2021,429,132-140.

 [9] Bailun Zhang, Yongming Han*, Bin Yu, Zhiqiang Geng*. Novel nonlinear auto regression with external input integrating PCA-WD and its application to dynamic soft sensor. Industrial & Engineering Chemistry Research.2020,59,15697-15706.

 [10] Yongming Han, Ning Ding, Zhiqiang Geng*, Zun Wang, Chong Chu. An optimized long short-term memory network based fault diagnosis model for chemical processes. Journal of Process Control 92 (2020) 161–168

 [11] Geng, Z., Zhang, Y., Li, C., Han, Y.*, Cui, Y., & Yu, B. Energy optimization and prediction modeling of petrochemical industries: An improved convolutional neural network based on cross-feature. Energy,2020, 194: 116851.

 [12] Zhiqiang Geng , Ning Chen, Yongming Han*, Bo Ma*. An improved intelligent early warning method based on MWSPCA and its application in complex chemical processes. The Canadian Journal of Chemical Engineering.

 [13] Yongming Han, Rundong Zhou , Zhiqiang Geng* , Ju Bai , Bo Ma *, Jinzhen Fan. A novel data envelopment analysis cross-model integrating interpretative structural model and ****ytic hierarchy process for energy efficiency evaluation and optimization modeling: Application to Ethylene Industries。Journal of Cleaner Production 246 (2020): 118965

 [14] Yongming Han, Shuheng Zhang, Zhiqiang Geng*, Qin Wei, Zhi Ouyang. Level Set based Shape Prior and Deep Learning for Image Segmentation[J]. IET Image Processing. 2020, 14(1): 183-191.

 [15] Zhiqiang Geng , Guofei Chen, Yongming Han ∗, Fang Li, Gang Lu, Qing Wei*.Semantic relation extraction using sequential and tree-structured LSTM with attention. Information Sciences509 (2020) 183–192.

 [16] Bo Ma#, Yongming Han#,*, Shiying Cui, Zhiqiang Geng*, Hongda Li, Chong Chu. Risk early warning and control of food safety based on an improved ****ytic hierarchy process integrating quality control analysis method. Food Control. 108(2020), 106824.

 [17] Yongming Han, Chenyu Fan, Meng Xu, Zhiqiang Geng*, Yanhua Zhong. Production capacity analysis and energy saving of complex chemical processes using LSTM based on attention mechanism. Applied Thermal Engineering. 2019, 160, 114072.

 [18] Yunfei Cui#, Yongming Han#, Zhiqiang Geng*; Qunxiong Zhu*, Jinzhen Fan, Production Optimization and Energy Saving of Complex Chemical Processes using Novel Competing Evolutionary Membrane Algorithm: Emphasis on Ethylene Cracking. Energy Conversion and Management, 196 (2019) 311–319.

 [19] Yongming Han, Shiying Cui, Zhiqiang Geng*, Chong Chu, Kai chen, Yajie Wang. Food quality and safety risk assessment using a novel HMM method based on GRA. Food Control 105 (2019) 180–189

 [20] Zhiqiang Geng, Rongfu Zeng, Yongming Han *, Yanhua Zhong, Hua Fu. Energy efficiency evaluation and energy saving based on DEA integrated affinity propagation clustering: Case study of complex petrochemical industries. Energy, 2019,179: 863-875.

 [21] Yongming Han, Chang Long, Zhiqiang Geng*, Qunxiong Zhu*, Yanhua Zhong. A novel DEACM integrating Affinity Propagation for performance evaluation and energy optimization modeling: Application to complex petrochemical. Energy Conversion and Management, 2019 ，183 , 349–359.

 [22] Zhiqiang Geng , Qingchao Meng, Ju Bai, Jie Chen, Yongming Han ∗, Qing Wei*, Zhi Ouyang.A model-free Bayesian classifier. Information Sciences482(2019) 171–188 .

 [23] Xiaoyong Lin, Shiying Cui, Yongming Han*, ZhiqiangGeng*, Yanhua Zhong. An improved ISM method based on GRA for hierarchical ****yzing the influencing factors of food safety. Food Control.2019,99: 48-56

 [24] Yongming Han, Hao Wu, Minghui Jia, Zhiqiang Geng*, Yanhua Zhong. Production capacity analysis and energy optimization of complex petrochemical industries using novel extreme learning machine integrating affinity propagations. Energy Conversion and Management, 2019, 99, 48–56.

 [25] ZhiqiangGeng, Dirui Shang, Yongming Han*,Yanhua Zhong. Early warning modeling and analysis based on a deep radial basis function neural network integrating an ****ytic hierarchy process: A case study for food safety. Food Control.2019,96:329-342

 [26] ZhiqiangGeng, Xuan Hu, Yongming Han*, Yanhua Zhong, A novel leakage detection method based on the sensitivity matrix of the pipe flow: Case study of water distribution systems. Journal of Water Resources Planning and Management. 2019, 145(2): 04018094-1-12

 [27] ZhiqiangGeng, Xuan Hu, Ning Ding, Shanshan Zhao, Yongming Han*.A pattern recognition modeling approach based on the intelligent ensemble classifier：Application to identification and appraisal of water-flooded layers. Part I-Journal of Systems and Control Engineering.2019, 233(7):737-750.

 [28] ZhiqiangGeng, Zun Wang, Haixia Hu, Yongming Han*, Xiaoyong Lin*. A Fault Detection Method based on Horizontal Visibility Graph-Integrated Complex Networks: Application to Complex Chemical Processes. Canadian Journal of Chemical Engineering.2019:97(5):1129-1138.

 [29] Yuan Xu, Mingqing Zhang, Liangliang Ye, Qunxiong Zhu , Zhiqiang Geng, Yan-Lin He, YongmingHan*. A novel prediction intervals method integrating an error & selffeedback extreme learning machine with particle swarm optimization for energy consumption robust prediction. Energy, 164 (2018) 137-146.

 [30] ZhiqiangGeng,HongdaLi,QunxiongZhu,YongmingHan*. Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes . Energy, 2018, 160: 898-909.

 [31] Yongming Han, Qing Zeng, Zhiqiang Geng*, Qunxiong Zhu*. Energy management and optimization modeling based on a novel fuzzy extreme learning machine: Case study of complex petrochemical industries. Energy Conversion and Management, 2018, 145, 41–52.

 [32] Zhiqiang Geng, Yanan Li, Yongming Han*, Qunxiong Zhu*. A Novel Self-Organizing Cosine Similarity Learning Network: An Application to Production Prediction of Petrochemical Systems. Energy, 2018, 142: 400-410.

 [33] Zhiqiang Geng , Zhongkun Li, Yongming Han ∗.A new deep belief network based on RBM with glial chains. Information Sciences 463–464 (2018) 294–306 .

 [34] Zhiqiang Geng, Jungen Dong, Yongming Han*, Qunxiong Zhu*. Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes. Applied Energy, 2017, 205, 465-476.

 [35] Zhiqiang Geng, Huachao Gao, Yanqing Wang, Yongming Han*, Qunxiong Zhu*. Energy saving analysis and management modeling based on index decomposition analysis integrated energy saving potential method: Application to complex chemical processes. Energy Conversion and Management, 2017, 145, 41–52.

 [36] Yunfei Cui, Zhiqiang Geng*, Qunxiong Zhu. Yongming Han*. Review: Multi-objective optimization methods and application in energy saving. Energy 2017, 125, 681-704

 [37] Zhiqiang Geng, Xiao Yang, Yongming Han*, Qunxiong Zhu*. Energy optimization and analysis modeling based on extreme learning machine integrated index decomposition analysis: Application to complex chemical processes. Energy 2017,120, 67-78

 [38] Zhiqiang Geng, Lin Qin, Yongming Han*, Qunxiong Zhu*. Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP. Energy 2017,122, 350-362 (TOP/SCI)

 [39] Yongming Han, Qunxiong Zhu, Zhiqiang Geng*, Yuan Xu*. Energy and carbon emissions analysis and prediction of complex petrochemical systems based on an improved extreme learning machine integrated interpretative structural model. Applied Thermal Engineering. 2017, 115, 280-291.

 [40] Yongming Han, Zhiqiang Geng*, Yixin Qu, Qunxiong Zhu*. Linear optimization fusion model based on fuzzy C-means: Case study of energy efficiency evaluation in ethylene product. Journal of Analytical and Applied Pyrolysis 2017,125, 347–355

 [41] Yaxun Chen, Yongming Han*, Qunxiong Zhu*. Energy and environmental efficiency evaluation based on a novel data envelopment analysis: An application in petrochemical industries. Applied Thermal Engineering. 2017, 119, 156-164.

 [42] Zhiqiang Geng, Shanshan Zhao, Guangcan Tao, Yongming Han*. Early warning modeling and analysis based on ****ytic hierarchy process integrated extreme learning machine (AHP-ELM): Application to food safety. Food Control 2017, 78, 33-42.

 [43] Zhiqiang Geng, Jungen Dong, Jie Chen, Yongming Han*. A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes. A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes. Engineering Applications of Artificial Intelligence. 2017, 62, 38-50.

 [44] Zhiqiang Geng, Jie Chen, Yongming Han*. Energy Efficiency Prediction Based on PCA-FRBF Model: A Case Study of Ethylene Industries. IEEE Transactions on Systems Man Cybernetics-Systems. 2017, 47(8),1763-1773.