Keynote Speakers

 

Prof. Hengtao Shen, IEEE Fellow, ACM Fellow, OSA Fellow

University of Electronic Science and Technology of China, China

Prof. Shen Hengtao, IEEE Fellow, ACM Fellow and OSA Fellow, is the Dean of the School of Computer Science and Engineering, University of Electronic Science and Technology of China, Executive Dean of the Artificial Intelligence Research Institute of University of Electronic Science and Technology of China, and Sichuan Artificial Intelligence Dean of the Research Institute (Yibin). He received his BA and PhD with First Class Honours from the Department of Computer Science, National University of Singapore in 2000 and 2004 respectively. He then joined the University of Queensland and became a professor at the end of 2011. He has been engaged in cutting-edge computer science research, including multimedia search, computer vision, artificial intelligence, and big data management.
Professor Shen Hengtao has been conducting in-depth research on the analysis, understanding, indexing and searching of multimedia big data for more than 20 years, and is the first in the world to implement a real-time near-repetitive video content search system. Accumulatively published 300+ high-level peer-reviewed papers, including more than 100 IEEE/ACM Transactions and more than 200 CCF Class A papers, and won best paper awards from 8 international conferences and journals, including Class A conference ACM Multimedia 2017 Best Paper Award and ACM SIGIR 2017 Best Paper - Honourable Mention Award, and IEEE Transactions on Multimedia 2020 Best Paper Award. He received the Chris Wallace Award from the Australian Society for Computing Research and Education in 2010, the Future Fellowship from the Australian Research Council in 2012, the 6th "Chinese Overseas Contribution Award" from the All-China Federation of Trade Unions in 2016, and the 2020 Sichuan Outstanding Talent prize. He has managed 15 national-level scientific research projects, including the National Science and Technology Innovation 2030-“New Generation Artificial Intelligence” major project, the National Natural Science Foundation key project, and the National Natural Science Foundation’s key international cooperation project.
Professor Shen Hengtao is/was on the editorial board of ACM Transactions of Data Science, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, and IEEE Transactions on Knowledge and Data Engineering. As the co-chair of the conference, Professor Shen Hengtao will hold the only CCF A-type academic conference ACM Multimedia 2021 in the multimedia field in Chengdu. He has also successfully held the CCF A-type academic conference ICDE in the database field in Australia as Local Organization Co-Chair and TPC Co-Chair respectively. 2013 and ACM Multimedia 2015, CCF Class A academic conference in multimedia field.

 

Prof. Hui Xiong, Fellow of AAAS and IEEE

Rutgers, the State University of New Jersey, USA

Dr. Hui Xiong received his Ph.D. in Computer Science from the University of Minnesota - Twin Cities, USA, in 2005, the B.E. degree in Automation from the University of Science and Technology of China (USTC), Hefei, China, and the M.S. degree in Computer Science from the National University of Singapore (NUS), Singapore. He is currently a Distinguished Professor at Rutgers, the State University of New Jersey, where he received the 2018 Ram Charan Management Practice Award as the Grand Prix winner from the Harvard Business Review, RBS Dean's Research Professorship (2016), two-year early promotion/tenure (2009), the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009), the ICDM-2011 Best Research Paper Award (2011), the Junior Faculty Teaching Excellence Award (2007), Dean's Award for Meritorious Research (2010, 2011, 2013, 2015) at Rutgers Business School, the 2017 IEEE ICDM Outstanding Service Award (2017), and the AAAI-2021 Best Paper Award (2021). Dr. Xiong is also a Distinguished Guest Professor (Grand Master Chair Professor) at the University of Science and Technology of China (USTC). For his outstanding contributions to data mining and mobile computing, he was elected an ACM Distinguished Scientist in 2014, an IEEE Fellow and an AAAS Fellow in 2020.

Dr. Xiong's general area of research is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for emerging data intensive applications. His research has been supported in part by the National Science Foundation (NSF), IBM Research, SAP Corporation, Panasonic USA Inc., Awarepoint Corp., Citrix Systems Inc., and Rutgers University. He has published prolifically in refereed journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering, the VLDB Journal, INFORMS Journal on Computing, Machine Learning, IEEE Transactions on Mobile Computing (TMC) , and ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). His book, titled "Encyclopedia of GIS", has been recognized as the Top 10 Most Popular Computer Science Book authored by Chinese Scholars at Springer.

 

Dr. Xiong currently serves as a co-Editor-in-Chief of Encyclopedia of GIS (Springer) and an Associate Editor of IEEE Transactions on Data and Knowledge Engineering (TKDE), IEEE Transactions on Big Data (TBD), ACM Transactions on Knowledge Discovery from Data (TKDD) and ACM Transactions on Management Information Systems (TMIS). He has served regularly on the organization and program committees of numerous conferences, including as a Program Co-Chair of the Industrial and Government Track for the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), a Program Co-Chair for the IEEE 2013 International Conference on Data Mining (ICDM), a General Co-Chair for the IEEE 2015 International Conference on Data Mining (ICDM), and a Program Co-Chair of the Research Track for the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2018) .

 

Dr. Xiong has been interviewed and quoted by local, national and international media, such as Forbes, Xinhua News Agency, and the Wall Street Journal. Also, the Economist has featured his research work for crime prevention in 2016 (Economist Article Title: Cutpurse capers). Moreover, his pioneer work on talent analytics has been featured by the Harvard Business Review.

 

Prof. Simon X. Yang
Head of Advanced Robotics and Intelligent Systems (ARIS) Laboratory
University of Guelph, Canada

Simon X. Yang received the B.Sc. degree in engineering physics from Beijing University, Beijing, China, in 1987, the first of two M.Sc. degrees in biophysics from the Chinese Academy of Sciences, Beijing, in 1990, the second M.Sc. degree in electrical engineering from the University of Houston, Houston, TX, in 1996, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 1999. Dr. Yang is currently a Professor and the Head of the Advanced Robotics and Intelligent Systems Laboratory at the University of Guelph, Guelph, ON, Canada.

His research interests include artificial intelligent, robotics, sensors and multi-sensor fusion, wireless sensor networks, control systems, bio-inspired intelligence, machine learning, neural networks, fuzzy systems, and computational neuroscience. Prof. Yang has been very active in professional activities. He serves as the Editor-in-Chief of International Journal of Robotics and Automation; an Advisory Editorial Board member of Intelligent Automation and Soft Computing; and an Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Artificial Intelligence, and several other journals. He was on the grant review panel of NSERC, CIHR and several other grant agencies. He was the General Chair of the 2011 IEEE International Conference on Logistics and Automation, and the Program Chair of the 2015 IEEE International Conference on Information and Automation. Among many of his awards, he was a recipient of the Distinguished Professor Award at the University of Guelph.

 

 

Prof. Huiyu (Joe) Zhou,

University of Leicester, UK

Dr. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 380 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", “MIUA 2020 Best Paper Award”, “ICPRAM 2016 Best Paper Award” and was nominated for “ICPRAM 2017 Best Student Paper Award” and "MBEC 2006 Nightingale Prize". His research work has been or is being supported by UK EPSRC, MRC, EU, Royal Society, Leverhulme Trust, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry. Homepage: https://www2.le.ac.uk/departments/informatics/people/huiyu-zhou.

 

Speech Title: New artificial intelligence technologies in healthcare

Abstract: Artificial intelligence has significantly influenced the health sector for years by delivering novel assistive technologies from robotic surgery to versatile biosensors that enable remote diagnosis and efficient treatment. While the COVID-19 pandemic is devastating, the uses of AI in the healthcare sector are dramatically increasing and it is a critical time to look at its impact in different aspects. In this talk, I will introduce the application of new deep learning models in medical image understanding. Then, I will discuss Parkinson’s disease (PD) whilst investigating the behaviour analysis of PD mice. I also present the use of machine learning technologies in sentiment analysis, followed by the discussion on several challenges.