Keynote Speakers
Hui Xiong (Rutgers, the State University of New Jersey, USA)
E-mail: [email protected]Title: Mobile Analytics: Prospects and Opportunities
Abstract: Advances in sensor, wireless communication, and information infrastructure such as GPS, WiFi, and mobile phone technology have enabled us to collect and process massive amounts of mobile data from multiple sources but under operational time. These big data have become a major driving force of new waves of productivity growth, application innovation, and consumer surplus. The big data are usually immense, fine-grained, diversified, dynamic, and sufficiently information-rich in nature, and thus demand a radical change in the philosophy of data analytics. In this talk, we discuss the technical and domain challenges of big data analytics in mobile environments. In particularly, it is especially important to investigate how the underlying computational models can be adapted for managing the uncertainties in relation to big data process in a huge nebulous environment. The theme to be covered will include AI enabled map services (e.g. multi-modal travel recommendation), context-aware POI recommendations, POI knowledge graph, and urban cognitive computing.
Bio: Dr. Hui Xiong is currently a Full Professor at the Rutgers, the State University of New Jersey. He also served as the Smart City Chief Scientist and the Deputy Dean of Baidu Research Institute in charge of several research labs (while on leave from Rutgers University). He received the Ph.D. degree from the University of Minnesota (UMN), USA. He is a co-Editor-in-Chief of Encyclopedia of GIS, an Associate Editor of IEEE Transactions on Big Data (TBD), ACM Transactions on Knowledge Discovery from Data (TKDD), and ACM Transactions on Management Information Systems (TMIS). Dr. Xiong has served as chair/co-chair for many international conferences in data mining, including a Program Co-Chair (2013) and a General Co-Chair (2015) for the IEEE International Conference on Data Mining (ICDM), and a Program Co-Chair of the Research Track (2018) and the Industry Track (2012) for the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Dr. Xiong’s research has generated substantive impact beyond academia. He is an ACM distinguished scientist and has been honored by the 2018 Ram Charan Management Practice Award as the Grand Prix winner from the Harvard Business Review, the 2017 IEEE ICDM Outstanding Service Award, and the ICDM-2011 Best Research Paper Award. In 2020, he was named as an AAAS Fellow and an IEEE Fellow.
>Zhao Zhang (Zhejiang Normal University, China)
E-mail:[email protected]Title: Approximating Minimum Partial Set Cover and More
Abstract: Minimum Partial Set Cover problem (MinPSC) is a generalization of the well-studied Minimum Set Cover problem (MinSC). With an attempt to raise the profit to cost ratio, it only requires a certain percentage of the elements to be covered. In this talk, I shall introduce the state-of-art studies on MinPSC, present our resent results on MinPSC, and extend the topic in two directions; generalization and specification.
Bio: Zhao Zhang is currently a Prominent Professor with the College of Mathematics and Computer Science, Zhejiang Normal University. From 1999 to 2014, she was with， Xinjiang University. She was awarded the NSFC Excellent Youth Project in 2012 and the Program for New Century Excellent Talents in University of China in 2008. Her main interest is in combinatorial optimization and approximation algorithms.
