Biography
Associate Professor at the Institute of Data Science and Knowledge Engineering, School of Computer Science and Technology, Beijing Institute of Technology (BIT). She holds a Ph.D. from BIT and completed postdoctoral research in Information Engineering at Karlsruhe University, Germany (November 2006 - November 2008) with a DAAD Scholarship (German Academic Exchange Service). She was also a visiting scholar at Stevens Institute of Technology, USA (January 2015 - June 2016).
Her research focuses on big data analytics, artificial intelligence, blockchain technology, and related fields. She has published over 20 high-level academic papers and holds three patents. Her teaching includes full English-taught courses on big data analytics, software engineering, and information management. With extensive project experience, she has contributed to several key research and development projects under the Ministry of Science and Technology and the National Natural Science Foundation of China.
She was a key member of the team behind the 2023 National First-Class Undergraduate Course (online course: Introduction to Big Data Technology). Her accolades include the 2022 Diwen Outstanding Teacher Award, the 2021 Ministry of Education-Huawei "Pillar of Talent" Teacher Award, and major education reform project awards from the Ministry of Education. She has also received the IBM Shared University Research (SUR) Award, IBM Global Faculty Awards (2015, 2017, 2019, 2020), and the IBM-CSC Outstanding Teacher Scholarship from the China Scholarship Council.
She has authored three textbooks and independently developed three MOOCs (Massive Open Online Courses): Big Data Analytics (English), Big Data Analytics (Chinese), and Software Theory and Engineering. Additionally, she contributed to the development of the Introduction to Big Data Technology MOOC. Her professional roles include serving as a council member of the German-Austrian Branch of the Western Returned Scholars Association (WRSA) and participating in the SAP Academic and Education Committee.
Academic Publications
1. Yufeng Zhao and Haiying Che “SkIn Skimming-Intensive Long-Text Classification Based on BERT and Application to Medical Corpus” arXiv, 2022
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
Publications - Textbooks & Monographs
1. Co-author, "Introduction to Big Data" (Emerging Fields in Big Data – "14th Five-Year Plan" Higher Education Textbook), responsible for sections in Chapter 2 and Chapter 5
- ISBN: 978-7-04-059860-5
2. Lead Editor & First Author, "Big Data Analysis and Processing Technologies" (China Commerce and Trade Press, July 2022)
- Contributed over 200,000 words (total book: 300,000 words)
- ISBN: 978-7-5103-4269-1
3. Independent Deputy Author, "Research on Big Data Mining Technology and Applications in the Cloud Computing Era" (University of Electronic Science and Technology Press, February 2022)
- Contributed 120,000 words
- ISBN: 978-7-5647-9042-4
4. Fourth Editor, "Introduction to Big Data and Artificial Intelligence Applications" (University of Electronic Science and Technology Press, February 2022)
- Contributed 90,000 words
- ISBN: 978-7-5647-7644-2
Patents
1. Dynamic Knowledge Graph-Based Q&A System and Method
- Patent No.: CN202010495779.4
- Inventors: Chen Wanyue, Che Haiying
2. CNN-Based Broad Learning Classification Method
- Patent No.: CN202010634517.1
- Inventors: Xia Yang, Che Haiying
3. Fine-Grained Sentiment Analysis Method Based on BERT and Q&A Techniques
- Patent No.: CN202010136542.7
- Inventors: Tan Xiang, Che Haiying
