Theme of Workshop:AI and Management

Session Chair:Junjie Wu, Professor, Beihang University

♦ SPEECH1:Data Intelligence for Management and Decision

Junjie Wu
Beihang University

Dr. Junjie Wu is a Professor of Beihang University. He has won the Outstanding Youth Fund of the National Natural Science Foundation of China, the National Excellent Doctoral Dissertations award, the First Prize of Technological Invention of the Chinese Institute of Electronics, and the First Prize of Science and Technology Progress of the China Chamber of Commerce. He is the director of the Key Laboratory of Data Intelligence and Management, Ministry of Industry and Information Technology. He also serves as a member of the 8th Disciplinary Evaluation Group (Management Science and Engineering) of the Academic Degrees Committee of the State Council, and is the director of the “Society for Artificial Intelligence and Management”. He has been engaged in interdisciplinary fields of management science and information science for a long time. His main research interests are data mining, machine learning, and information systems. Nearly 30 academic papers have been published in top journals and conferences such as MISQ, ISR, TKDE, KDD and AAAI, and the research results have been widely used in social governance, smart city, financial technology, smart medical care and other fields.

♦ SPEECH2:Development and Application of Blockchain with Big Data Analytics

Xi zhao
Xi’an Jiaotong University

Zhao Xi is a professor of the School of Management of Xi’an Jiaotong University, director of the Shaanxi Medical and Health Big Data Engineering Research Center, director of the Social Big Data Analysis and Application Research Center of the National Engineering Laboratory of Big Data Algorithms and Analysis Technology, and secretary general of the Artificial Intelligence Technology and Management Application Research Association of the Chinese Academy of Management Sciences and Engineering, and was selected as the provincial special talent plan and Zhongying Young Scholar. Zhao Xi went to the French Central Polytechnic University to study for a doctorate in computer science in 2007, and went to the University of Houston in the United States as a research assistant professor in 2010. He has published more than 80 SCI and EI articles in the interdisciplinary field of behavioral big data and intelligent decision-making in the context of blockchain, such as IEEE T.PAMI, IEEE T. Cybernetics and JOM, DSS, TM, and other internationally renowned journals in the field of management. It has undertaken more than 20 research and development projects, including major projects to promote the development of big data, key projects of the National Natural Science Foundation, the Ministry of Education – China Mobile Research Fund project, the innovation capacity building project of the Shaanxi Development and Reform Commission, the key industry chain project of the Shaanxi Provincial Department of Science and Technology, the consulting project of the Shaanxi Provincial Association for Science and Technology, and the research and development projects of internationally renowned enterprises such as State Grid, ZTE, Huawei, Tencent, etc. The research work of Zhao Xi’s team has received extensive attention from the Chinese and American media for many times, especially the “Smart” column of China’s first scientific challenge program focusing on intelligent technology, which was broadcast on the primetime weekend of a comprehensive channel of CCTV in 2018, and made a special program based on Zhao Xi’s team’s big data behavior analysis work.

♦ SPEECH3:You Get What You Pay for: Value-aware Recommender Systems

Guannan Liu
Associate Professor
Beihang University

Guannan Liu is an Associate Professor and doctoral supervisor with School of Economics and Management, Beihang University. He is also the deputy director of the Beihang Data Intelligence Research Center, with research interests in data mining and business intelligence, artificial intelligence, and intelligent management. His research has been published in top journals in the field of data mining, including IEEE TKDE and ACM TKDD, as well as top international conferences in the field of data mining such as KDD and ICDM. He also serves as a program committee member for top conferences such as KDD, The Web Conference, and AAAI. He has hosted and participated in three national natural science foundation projects and four “National Information Security Program” projects, leading the team to develop and imlement an artificial intelligence-based anti-fraud system for telecommunications. In 2019, he was selected for the Beihang Young Elite Program, and he was selected as one of the Global Top AI Chinese Young Scholars (AI+ Management Inter-Disciplinary Direction).

♦ SPEECH4:Enhancing Adversarial Robustness of Deep Learning: A Design Science Approach

Yidong Chai
Hefei University of Technology

Yidong Chai is currently a researcher in the School of Management, Hefei University of Technology. He received a Ph.D. from the department of management science and engineering of Tsinghua University, China. His research interests are machine learning methods and their applications in information system security (the security of the internet of healthcare systems), smart health, and business intelligence. His research has been published in top tier IS journals like MISQ, ISR, and JMIS, as well as top tier CS journals like IEEE TDSC, and IEEE TPAMI. He has authored one book and owned five patents. He has won the best paper award of WITS 2021. He serves as an editor of Industrial Management & Data Systems and cochairs the Design Science in IS Track in PACIS 2023.