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Academic seabet casino games

Notification of Academic Report of Associate Professor Wang Senzhang of Nanjing seabet casino games of Aeronautics and Astronautics

Source: Click: Time: September 28, 2020 10:18


Report title AI Empowered Spatio-Temporal seabet casino games for Smart City: Challenges, Solutions, and Applications

Report time2020Year9month10:00 to 11:00 am on the 29th (Tuesday)

Reporting location:Computer seabet casino games212

Reporter:Associate Professor Wang Senzhang Nanjing seabet casino games of Aeronautics and Astronautics

Report SummaryWith the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data generated in urban areas has become increasingly available nowadays. Mining valuable knowledge from spatio-temporal data is critically important for the better design of smart city related applications, such as human mobility monitoring, smart transportation, urban planning, public safety, and environmental management. As the number, volume and resolution of spatio-temporal datasets increase rapidly, traditional seabet casino games methods, especially the statistics-based methods for dealing with such data are becoming overwhelmed. Recently, with the great success of AI techniques, especially deep learning based methods, various AI techniques have been widely applied in analyzing diverse spatio-temporal data generated in urban areas. In this talk, I will present our recent research on AI empowered spatio-temporal seabet casino games. First, I will introduce the new challenges in applying AI techniques to address various spatio-temporal seabet casino games tasks in general. Then I will summarize the AI ​​empowered spatio-temporal seabet casino games techniques as solutions to address them, followed by several examples illustrating how these solutions including both shallow and deep learning models can be utilized in the applications of demand-supply prediction in on-demand services, urban traffic prediction and urban crowd flow prediction. Finally, I will conclude the limitations of current research and point out future research directions.

About the speaker:

Wang Senzhang, associate researcher at Nanjing seabet casino games of Aeronautics and Astronautics.Graduated with PhD from Beijing seabet casino games of Aeronautics and Astronautics in 2016。The main research direction is social network analysis、Spatial-temporal data mining and graph data mining。 2013 to 2015,Visiting as a jointly trained doctoral student at the seabet casino games of Illinois at Chicago。Selected for the 2017 "Hong Kong Scholars" funding program to study at the Hong Kong Polytechnic seabet casino games。Information propagation modeling and prediction in social networks、Urban spatiotemporal big data mining、Traffic big data analysis、Has in-depth research on graph representation learning and other aspects,And achieved a series of research results。In data mining、More than 90 papers published in top international or mainstream journal conferences in artificial intelligence and other fields,includes KDD、AAAI、IJCAI、SDM、CIKM、ICDM、ACM SIGSPATIAlGIS、IEEE TKDE、ACM TOIS、ACM TIST、KAIS、IEEE T-ITS、IEEE Trans. on Cybernetics etc.,Write two book chapters。Host including the National Natural Science Foundation of China Youth Fund、Jiangsu Provincial Natural Fund、Multiple scientific research projects including Tencent’s “Rhinoceros Bird” Fund。Dr. Wang Senzhang currently serves on the editorial board of "Journal of Intelligent Science and Technology" and "Computer Engineering",Guest Editorial Board Member of the Journal ACM Transactions on Ingelligent Systems and Technology,Served as a member of the program committee of international conferences more than 30 times,includes IJCAI、AAAI、ICDM、CIKM、IEEE Big Data、NDBC、DASFAA、PAKDD etc.。



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