On the morning of April 26th, Professor Wu Junjie of Beihang University was invited to give an academic lecture entitled "Research on Data Intelligence from the Perspective of Management Science" at the School of Management, Shandong University. Professor Zhang Jianghua, Vice Dean of the School, presided over the lecture.
From the perspective of management science, Professor Wu introduced in detail the exploration of data intelligence research from the aspects of data fusion in scenarios, model constructing with data, scenario empowering with models, and cross-penetration of data intelligence. In terms of theoretical foundation and core objectives, Professor Wu advocates the use of "deep representation learning" to build "computable and interpretable complex systems". When it comes to data collection, he details two methods: firstly, the use of group intelligence perception to achieve effective collection and perception maximization of open data, and secondly, the design of distributed intelligent giant systems to optimize the processing of private data; in the aspect of data circulation, Professor Wu shares the data desensitization and sharing scheme based on privacy protection and advocates the use of the federated learning platform to achieve secure sharing of data transactions; in the aspect of constructing data models, he emphasizes the depth of domain models, embedding of complex behaviors, and verticalization of the Large Language Model to improve the accuracy and accuracy of the model; in the aspect of model empowerment scenarios, he introduced the concepts of human-in-the-loop, machine behavior and human-machine collaboration, showing the empowering role of data intelligence in actual scenarios; in the field of cross-penetration of data intelligence, Professor Wu elaborated his unique insights through the perspectives of external embedding and technological enhancement, which provides new ideas for the future development of data intelligence. After the lecture, Professor Wu had an in-depth exchange with the faculty and students of the School on topics such as technology-driven management.
Professor Wu Junjie is a Level-2 Professor at Beihang University, Professor of Management Science and Engineering, and Director of the Key Laboratory of Data Intelligence and Intelligent Management of the Ministry of Industry and Information Technology (MIIT). He has been supported by the National Natural Science Funds for Distinguished Young Scholar and awarded four provincial and ministerial first-prize on science and technology, the National Advanced Individual in Science and Technology System for Fighting against the COVID-19 Epidemic, and the Entrepreneurial Character Award of the China Association of Inventions, etc. He is a member of the Eighth Discipline Review Group of the State Council Academic Degrees Committee (Management Science and Engineering), a member of the Steering Expert Group of the Major Research Program of the National Natural Science Foundation of China (Big Data-driven Management and Decision-making), the Chairman of the Artificial Intelligence Technology and Management Application Branch of Management Science and Engineering Society, and editor of several domestic and international journals, including the Journal of Management Sciences in China. He has long been engaged in cross-innovation research in management science, information science, and applied fields, and his main research interests are data intelligence and intelligent management. He has led five key R&D programs of the Ministry of Science and Technology and five national key programs. He has published nearly fifty papers in UTD journals such as MISQ, ISR, and JOC, as well as CCF-A journals such as TKDE, TDSC, KDD, SIGIR, etc., and conference papers. He has nearly thirty national invention patents authorized, and his results have been widely applied to the fields of social governance, smart city, financial science and technology, business intelligence, and smart healthcare, and several policy recommendations have been granted by the General Office, CCCPC.
