Prof. Cong Wang, Peking University, ChinaKeynote Speakers
Prof. Cong Wang, Peking University, ChinaBiography: Dr. Cong Wang is an assistant professor at Guanghua School of Management, Peking University. She holds a Ph.D. in Information Systems from Tsinghua University. She got her BA in information systems and economics from Peking University. She worked as a postdoc fellow at Carnegie Mellon University prior to joining Guanghua. Dr. Wang's research interest lies in the intersection of big data analytics, machine learning and management information systems, focusing on decision support with uncertainty and temporal dynamics, pattern recognition and knowledge discovery from big data, as well as their applications in areas of e-commerce, fintech and healthcare etc. Her research work has been published in journals including INFORMS Journal on Computing, Decision Support Systems, Fundamental Research etc.
Speech Title: ProMatch: Advancing Two-Way Proactive Recruitment with Process-Oriented Self-Regulatory Learning
Prof. Shuliang Li, University of Westminster, UK & School of Economics & Management, Southwest Jiaotong University, ChinaPhD, Fellow (Life) of the British Computer Society
Reader in Business Information Management & Systems Westminster Business School, University of Westminster, United Kingdom
Biography: Prof. Dr Shuliang Li is a Reader in Business Information Management at Westminster Business School, University of Westminster. He acted as BIM&O departmental Research Leader from January 2010 to July 2013. He is a life Fellow of the British Computer Society (FBCS).
(Official Web page)
Speech Title: A Hybrid Framework for Metaverse Digital Clones, AI Aavatars and Associated AI Apps and LLMs
Prof. Michael Chau, University of Hong Kong, Hong KongBiography: Michael Chau is a Professor in Innovation and Information Management of the HKU Business School at the University of Hong Kong. His research focuses on the cross-disciplinary intersection of information systems, computer science, business analytics, and information science, with an emphasis on the applications of data, text, and web mining in various business, education, and social domains. Dr. Chau’s research has been well published and recognized. His research has resulted in over 160 publications in high-quality journals and conferences. He is the recipient of multiple research achievement and best paper awards, and is highly ranked in several research productivity studies. He received a Ph.D. degree in management information systems from the University of Arizona and a B.Sc. degree in computer science and information systems from the University of Hong Kong. Visit http://www.business.hku.hk/~mchau/ for more information. (Official Web page)
Speech Title: Relieving Bias in Hate Speech Detection with a Small Number of Expert Annotations: A Prompt-based Learning Approach
Invited Speakers
Dr. Abhimanyu Mukerji, Amazon, USABiography: Abhimanyu is a Senior Economist at Amazon working on dynamic causal models and causal machine learning. His prior research has used methods from machine learning, deep learning and natural language processing combined with econometric approaches to study problems in applied microeconomics and empirical corporate finance. He holds a PhD in financial economics from Stanford University.