韩永明，教授，博士生导师

照片+个人介绍

韩永明：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。

研究领域包括人工智能、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 ****ysis 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 ****ysis 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 Sciences  509 (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 ****ysis method. Food Control. 108(2020), 106824.  

17. Yongming Han, Chenyu Fan, Meng Xu, Zhiqiang Geng*, Yanhua Zhong. Production capacity ****ysis 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 Sciences  482(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 ****ysis 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 ****ysis 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. Zhiqiang Geng, Ju Bai, Deyang Jiang, Yongming Han*.Energy structure ****ysis and energy saving of complex chemical industries:A novel fuzzy interpretative structural model. Applied Thermal Engineering 142 (2018) 433–443.

32. 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.

33. Yongming Han, Chang Long, Zhiqiang Geng*, Keyu Zhang*. Carbon emission ****ysis and evaluation of industrial departments in China: An improved environmental DEA cross model based on information entropy[J]. Journal of Environmental Management, 2018, 205: 298-307.   

34. 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.  

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

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

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

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

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

40. 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)  

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

42. 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

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

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

45. 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.

46. 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.

47. Yongming Han, Zhiqiang Geng*, Qunxiong Zhu, Zun Wang, Yunfei Cui. Energy consumption ****ysis and evaluation of petrochemical industries using an improved fuzzy ****ytic hierarchy process approach. Journal of Intelligent & Fuzzy Systems. 2017,32(6),4183-4195.

科研成果

1）针对难以建立过程数学模型的复杂化工过程，提出了自组织神经网络和机理协同的化工过程建模方法。

2)针对复杂化工过程节能降耗和环境减排问题，提出了基于数据融合的化工生产全流程能效评价与节能潜力分析方法