Name: Che Haiying
Discipline: Computer Science and Technology
Title: Associate Professor
Contact number: 17710161972
E-mail: chrissieche@qq.com
Address: School of Computer Science, Beijing Institute of Technology Personal Information
Che Haiying is an associate professor at the Institute of Data Science and Knowledge Engineering, School of Computer Science, Beijing Institute of Technology. Doctor from Beijing Institute of Technology, postdoctoral fellow in Information Engineering, University of Karlsruhe, Germany, visiting scholar at Stevens Institute of Technology, USA.
His research interests include big data analysis, artificial intelligence, blockchain technology, etc. He has published more than 20 high-level academic articles and 3 invention patents in related fields. Courses taught in English include big data analysis, software engineering, information management, etc. With rich experience in engineering projects, I have participated in the completion of a number of key research and development projects of the Ministry of Science and Technology and the National Natural Fund projects as the main completion person. The main member of the National First-class undergraduate course (Online First-class Course - Introduction to Big Data Technology) in 2023, the Excellent Teacher of Diwen in 2022, the Teacher of Huawei Pillars of the Ministry of Education in 2021, and the key education reform project of the Ministry of Education. IBM Global Shared Research Program SUR Project Award, IBM Faculty Awards 2015,2017,2019,2020 China Scholarship Council IBM Excellent Teacher Award and other awards. Three monographs of teaching materials were published. Completed 3 MOOCs independently, including English big Data analysis, Chinese big Data analysis and software theory and engineering, and participated in the construction of 1 MOOCS Introduction to Big Data technology. Social positions include member of the German-Austrian Branch of Western Returned Scholars Association, member of SAP Academic and Educational Work Committee, etc. Presided over 5 teaching reform projects of the Ministry of Education,
1. 2021 Ministry of Education - Huawei "Smart Base" production and education integration collaborative education;
2. 2020-2021 Ministry of Education - Ali "Big Data Analysis Technology" industry and education integration course construction;
3. 2018 Ministry of Education -IBM "Bei-IBM Industry-University Cooperation New Engineering Construction Project";
4. 2017 Ministry of Education -IBM Innovation and Entrepreneurship Education Reform;
5. 2016 Ministry of Education -IBM Ministry of Education Industry-University Collaborative Education Project.
School level education reform project 8. The big data analysis and software theory and engineering taught by the Ministry of Education and Beijing Institute of Technology have been awarded fine courses. 2016 IBM Global Shared Research Program project (blockchain system), IBM Global Scholar of Excellence Award, guiding student discipline competition won 2 national first prizes, 1 provincial and ministerial level, 4 software industry head enterprise.
Since 2004, he has been serving as an advisor to more than 100 graduate students, including outstanding alumni of Beijing Institute of Technology, representative of Forbes Asia under the age of 30, Sun Taoyong, founder of Weimeng, and other double-certificate graduate students, international graduate students and on-the-job graduate students. It has a number of international certifications including electronic data judicial appraiser qualification and Design Thinking, Sap HANA,TERP10,ABAP, etc.
http://cs.bit.edu.cn/szdw/jsml/fjs/chehy/index.htm

Research Direction
Big data analysis, artificial intelligence, blockchain technology, etc.

Personal Information
Che Haiying is an associate professor at the Institute of Data Science and Knowledge Engineering, School of Computer Science, Beijing Institute of Technology. Doctor from Beijing Institute of Technology, postdoctoral fellow in Information Engineering, University of Karlsruhe, Germany, visiting scholar at Stevens Institute of Technology, USA.
His research interests include big data analysis, artificial intelligence, blockchain technology, etc. He has published more than 20 high-level academic articles and 3 invention patents in related fields. Courses taught in English include big data analysis, software engineering, information management, etc. With rich experience in engineering projects, I have participated in the completion of a number of key research and development projects of the Ministry of Science and Technology and the National Natural Fund projects as the main completion person. The main member of the National First-class undergraduate course (Online First-class Course - Introduction to Big Data Technology) in 2023, the Excellent Teacher of Diwen in 2022, the Teacher of Huawei Pillars of the Ministry of Education in 2021, and the key education reform project of the Ministry of Education. IBM Global Shared Research Program SUR Project Award, IBM Faculty Awards 2015,2017,2019,2020 China Scholarship Council IBM Excellent Teacher Award and other awards. Three monographs of teaching materials were published. Completed 3 MOOCs independently, including English big Data analysis, Chinese big Data analysis and software theory and engineering, and participated in the construction of 1 MOOCS Introduction to Big Data technology. Social positions include member of the German-Austrian Branch of Western Returned Scholars Association, member of SAP Academic and Educational Work Committee, etc. Presided over 5 teaching reform projects of the Ministry of Education,
1. 2021 Ministry of Education - Huawei "Smart Base" production and education integration collaborative education;
2. 2020-2021 Ministry of Education - Ali "Big Data Analysis Technology" industry and education integration course construction;
3. 2018 Ministry of Education -IBM "Bei-IBM Industry-University Cooperation New Engineering Construction Project";
4. 2017 Ministry of Education -IBM Innovation and Entrepreneurship Education Reform;
5. 2016 Ministry of Education -IBM Ministry of Education Industry-University Collaborative Education Project.
School level education reform project 8. The big data analysis and software theory and engineering taught by the Ministry of Education and Beijing Institute of Technology have been awarded fine courses. 2016 IBM Global Shared Research Program project (blockchain system), IBM Global Scholar of Excellence Award, guiding student discipline competition won 2 national first prizes, 1 provincial and ministerial level, 4 software industry head enterprise.
Since 2004, he has been serving as an advisor to more than 100 graduate students, including outstanding alumni of Beijing Institute of Technology, representative of Forbes Asia under the age of 30, Sun Taoyong, founder of Weimeng, and other double-certificate graduate students, international graduate students and on-the-job graduate students. It has a number of international certifications including electronic data judicial appraiser qualification and Design Thinking, Sap HANA,TERP10,ABAP, etc.
http://cs.bit.edu.cn/szdw/jsml/fjs/chehy/index.htm

Personal Information
Che Haiying is an associate professor at the Institute of Data Science and Knowledge Engineering, School of Computer Science, Beijing Institute of Technology. Doctor from Beijing Institute of Technology, postdoctoral fellow in Information Engineering, University of Karlsruhe, Germany, visiting scholar at Stevens Institute of Technology, USA.
His research interests include big data analysis, artificial intelligence, blockchain technology, etc. He has published more than 20 high-level academic articles and 3 invention patents in related fields. Courses taught in English include big data analysis, software engineering, information management, etc. With rich experience in engineering projects, I have participated in the completion of a number of key research and development projects of the Ministry of Science and Technology and the National Natural Fund projects as the main completion person. The main member of the National First-class undergraduate course (Online First-class Course - Introduction to Big Data Technology) in 2023, the Excellent Teacher of Diwen in 2022, the Teacher of Huawei Pillars of the Ministry of Education in 2021, and the key education reform project of the Ministry of Education. IBM Global Shared Research Program SUR Project Award, IBM Faculty Awards 2015,2017,2019,2020 China Scholarship Council IBM Excellent Teacher Award and other awards. Three monographs of teaching materials were published. Completed 3 MOOCs independently, including English big Data analysis, Chinese big Data analysis and software theory and engineering, and participated in the construction of 1 MOOCS Introduction to Big Data technology. Social positions include member of the German-Austrian Branch of Western Returned Scholars Association, member of SAP Academic and Educational Work Committee, etc. Presided over 5 teaching reform projects of the Ministry of Education,
1. 2021 Ministry of Education - Huawei "Smart Base" production and education integration collaborative education;
2. 2020-2021 Ministry of Education - Ali "Big Data Analysis Technology" industry and education integration course construction;
3. 2018 Ministry of Education -IBM "Bei-IBM Industry-University Cooperation New Engineering Construction Project";
4. 2017 Ministry of Education -IBM Innovation and Entrepreneurship Education Reform;
5. 2016 Ministry of Education -IBM Ministry of Education Industry-University Collaborative Education Project.
School level education reform project 8. The big data analysis and software theory and engineering taught by the Ministry of Education and Beijing Institute of Technology have been awarded fine courses. 2016 IBM Global Shared Research Program project (blockchain system), IBM Global Scholar of Excellence Award, guiding student discipline competition won 2 national first prizes, 1 provincial and ministerial level, 4 software industry head enterprise.
Since 2004, he has been serving as an advisor to more than 100 graduate students, including outstanding alumni of Beijing Institute of Technology, representative of Forbes Asia under the age of 30, Sun Taoyong, founder of Weimeng, and other double-certificate graduate students, international graduate students and on-the-job graduate students. It has a number of international certifications including electronic data judicial appraiser qualification and Design Thinking, Sap HANA,TERP10,ABAP, etc.
http://cs.bit.edu.cn/szdw/jsml/fjs/chehy/index.htm

代表性学术成果
1. Yufeng Zhao and Haiying Che* “SkIn Skimming-Intensive Long-Text Classification Based on BERT and Application to Medical Corpus” arXiv
2. Yufeng Zhao，Evelyn Soerjodjojo and Haiying Che* “Methods to Enhance BERT in Aspect-Based Sentiment Classification” 2022 Euro-Asia Conference on Frontiers of Computer Science and Information Technology (FCSIT) 16-18 December 2022.
https://ieeexplore.ieee.org/abstract/document/10098237
3. Haiying CHE, Zixing Bai, Rong Zuo and Honglei LI*, “A Deep Reinforcement Learning Approach to the Optimization of Data Center Task Scheduling”, Complexity, volume 2020. (SCI). https://www.hindawi.com/journals/complexity/2020/3046769/
4. Haiying CHE, Xiaolong WANG, Hong WANG, Zixing BAI, Honglei LI*, “Scheduling with Deadline constraint of Healthcare Applications on Cloud-Based Workflow” Journal of Medical Imaging and Health Informatics, Volume 10, Number 10, October 2020, pp. 2430-2438(9) (SCI)
5. Haiying Che, Octave Iradukunda, Khalilov Shahin, “RDBMS Based Hadoop Metadata and Log Data Management Optimization” 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). https://ieeexplore.ieee.org/document/9173057
6. Octave Iradukunda, Haiying Che, “Malaria Disease Prediction Based on Machine Learning” 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), https://ieeexplore.ieee.org/document/9173011.
7. CHE Hai-ying , SANG Di and ZIMBA Billy, “Recommending Personalized POIs-Points of Interest from Location based Social networks” Journal of Beijing Institute of Technology, 2018.1 Vol.27, p137-145 (EI )
8. Haiying Che，Quentin Machu and Yangguang Zhou “Time drift detection in Process Mining” International Conference on Signal and Information Processing, Networking and Computers, October 17-18, 2015 , Beijing
9. Haiying Che and Zishi Wang “Research and realization of music recommender algorithm based on hybrid collaborative filtering” International Conference on Signal and Information Processing, Networking and Computers, October 17-18, 2015 , Beijing
10. Haiying Che, Huiying Gao and Yanbing Ju “Mobile Business Process Modeling Using High Level Petri Nets” Journal of Beijing Institute of Technology, 2014.3, Vol23, p368-374
11. Haiying Che, Michael Decker , “Anomalies in Business Process Models for Mobile Scenarios with Location Constraints”, 2010 IEEE, International Conference on Automation and Logistics (ICAL), August 16-20, Hongkong/Macau
12. Haiying Che, Yu Li, Andreas Oberweis and Wolffried Stucky, “Web Service Composition Based on XML Nets”, 42th Hawaii International Conference on System Sciences (HICSS), January 5-8, 2009, Hawaii, U.S.A
13. Haiying Che, Wolffried Stucky and Yanbin Ju “Using XML Nets and Grid Services to support SCOR (Supply Chain Operations Reference model)” 2008 International Conference on Machine Learning and Cybernetics, 12-15,July 2008, Kunming China (indexed by EI Compendex)
14. Haiying Che, Marco Mevius , Yanbing Ju, Wolffried Stucky and Ralf Trunko “A Method for Inter-organizational Business Process Management” Aug. 2007 International Conference on Automation and Logistics P354-358
15. Michael Decker, Haiying Che, Andreas Oberweis, Peter Stürzel, Matthias Vogel，“ ModelingMobile Workflows with BPMN ” 2010 Jun，i9th International Conference on Mobile Business (ICMB 2010), Athens, Greece
16. Yanbing Ju , Aihua Wang, Xiumin Shi, Haiying Che “Modeling and Simulation of Emergency Material Transport Process” Proceedings of the 4th International Conference on Wireless Communications, Networking and Mobile Computing（2008）,Oct.2008.P1-4. (indexed by EI Compendex).
17. Yanbing Ju, Aihua Wang, Haiying Che “Modeling and Analysis of Traffic Accident Rescue Process Using GSPN ”, 2007 International Symposium on Information System & Management (indexed by EI Compendex) p6595-6598, Shanghai, China, 21-25, September, 2007,EI Source: 2007 International Conference on Wireless Communications, Networking and Mobil Computing
18. Yanbing Ju, Aihua Wang, Haiying Che “Simulation and Optimization for the Airport Passenger Flow” 2007 International Symposium on Information System & Management (indexed by EI Compendex) p6599-6602, Shanghai, China, 21-25, September, 2007,EI Source: 2007 International Conference on Wireless Communications, Networking and Mobil Computing
19. Yanbing Ju, Aihua Wang, Zhijun Yan, Haiying Che “Utilizing Simulation to Analyze One Production Process” 2007 International conference on engineering, services and knowledge management (indexed by EI Compendex) p6630-6633, Shanghai, China, 21-25, September, 2007, EI Source: 2007 International Conference on Wireless Communications, Networking and Mobil Computing
20. Yanbing Ju,Jinju Yu,Aihua Wang,Haiying Che “Research on simulation of airport fire emergency rescue based on Swarm” Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on 25-27 June 2008 Page(s):9022 - 9027, Digital Object Identifier 10.1109/WCICA.2008.4594355
21.车海莺, 甘仞初 “信息系统总体设计中案例推理与规则推理集成方法的研究”, 计算机应用研究2004.3
22.车海莺, 甘仞初 “远程销售管理信息系统的设计与实现” 电子与信息学报2003;
23.车海莺, 甘仞初 “信息系统建设中工作流管理技术的应用” 电子与信息学报2003
24.车海莺, 甘仞初 “基于面向对象的语义网络的信息系统总体设计方案表示” 电子与信息学报2003;
25 周庆,甘仞初, 尹秋菊, 车海莺“基于C/S 和B/S 模型的远程销售管理信息系统的设计与实现” 计算机应用研, 2002 Vol.19 No.5 P.97-100。
所获奖励
1. 2023第二批国家一流本科生课程《大数据技术导论》课程团队主要成员
2. 2023 第八届迪文优秀教师奖
3. 2023年北京理工大学教书育人类表彰
4. 2023 慕课出海项目（印度尼西亚） 全英文大数据分析技术
5. 2023第18届“挑战杯”全国大学生课外学术科技作品竞赛北理工一等奖指导教师
6. 2022强国杯技术技能大赛 智能网联技术应用赛 应用创新赛道 一等奖 指导教师
7. 2022教育部-华为 栋梁之师奖
8. 2021 教育部-华为教改项目-软件理论与工程
9. 华为云与计算先锋教师 2020-2025
10. 2015,2017，2019，2020 国家留学基金委IBM 优秀教师奖教金
11. 2017 IBM区块链全国高校Hackathon黑客马拉松大赛最佳指导教师
12. 2017 教育部产学合作协同育人项-创新创业教育改革201702005015 Block chain joint projects and curriculum development
13. 2017 中国轻工业联合会科学技术进步奖 三等奖 轻工产品大数据挖掘与全生命周期追溯关键技术研发与应用 排名5
14. 2016 IBM全球卓越学者奖 IBM faculty Awards
15. 2016 IBM大型主机技术应用全国校园大赛冠军 最佳指导教师
16. 2015 年度IBM优秀教师奖教金
17. 2014年度SAP大学联盟年度优秀讲师
18. 2011年中国自动化学会智能自动化委员会，中国自动化学会机器人竞赛工作委员会举办的中国机器人大赛-创意设计大赛中指导学生凭借作品“自动叠衣机器人”荣获一等奖
19. 2011年度SAP大学联盟项目突出贡献奖
20. 2010年9月指导学生2010教育部商务部首届中国大学生服务外包创新应用大赛 二等奖
21. 2006 德意志学术交流中心DAAD精英奖学金
22. 作为班主任，带领班级获得2004-2005学年优良学风班