2023 3rd International Conference on Digital Society and Intelligent Systems (DSInS 2023)

Keynote Speakers

Keynote Speakers


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Prof. Hui Xiong

IEEE Fellow, University of Minnesota, United States

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Experience: 

Prof. XIONG Hui is currently the Head and Chair Professor of the Artificial Intelligence Thrust at the Hong Kong University of Science and Technology (Guangzhou). Prof. Xiong’s main research areas are data mining, business intelligence, mobile computing, and big data of human resources. He has obtained AAAS Fellow, IEEE Fellow, ACM Distinguished Scientist, Changjiang Chair Professor of the Ministry of Education of China, Harvard Business Review’s “The 2018 Ram Charan Management Practice Awards”-- Full Prize, 2017 IEEE ICDM Outstanding Service Award, ICDM-2011 Best Research Paper Award, and AAAI-2021 Best Paper Award. In terms of talent cultivation, most of the PhD supervised by Prof. Xiong have become tenure-track professors at prestigious universities in United States, including University of Tennessee-Knoxville, University of Arizona, Stony Brook University, University of Central Florida, George Mason University, City University of Hong Kong, University of Kansas and ESCP Business School-Paris.


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Prof. Bing Liu

AAAI/ACM/IEEE Fellow, University of Illinois at Chicago (UIC), United States

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Experience: 

Bing Liu is a distinguished professor of Computer Science at the University of Illinois at Chicago (UIC). He received his Ph.D. in Artificial Intelligence (AI) from the University of Edinburgh. Before joining UIC, he was a faculty member at the School of Computing, National University of Singapore (NUS). He was also with Peking University for one year (2019-2020). His research interests include lifelong and continual learning, sentiment analysis, lifelong learning chatbots, open-world AI/learning, natural language processing (NLP), and data mining and machine learning. He has published extensively in top conferences and journals (his Google Scholar page). He also authored four books: one about lifelong machine learning (first ever book on the topic), two about sentiment analysis and one about Web mining. Three of his papers received Test-of-Time awards: two from SIGKDD (ACM Special Interest Group on Knowledge Discovery and Data Mining) and one from WSDM (ACM International Conference on Web Search and Data Mining). Another of his papers received Test-of-Time award - honorable mention also from WSDM. Some of his work has been widely reported in the international press, including a front-page article in the New York Times. On professional services, he has served as the Chair of ACM SIGKDD from 2013-2017, as program chair of many leading data mining conferences, including KDD, ICDM, CIKM, WSDM, SDM, and PAKDD, as associate editor of leading journals such as TKDE, TWEB, DMKD and TKDD, and as area chair or senior PC member of numerous NLP, AI, Web, and data mining conferences. He is a recipient of ACM SIGKDD Innovation Award (the most prestigious technical achievement award from SIGKDD), and he is a Fellow of the ACM, AAAI, and IEEE.