Bet365 Casino login title:The theory and application of joint Bet365 Casino login
Bet365 Casino login time:July 28, 10:00-12:00 am
Tencent Conference: 319-558-115
Bet365 Casino login Introduction:In the real world，A phenomenon often observed，That is, multiple entities will jointly affect one entity，Thereby changing its nature or behavior。We call this phenomenon joint influence。For example，Gravity in physics can be viewed as a joint influence: the motion of a particle，For example, the movement of a celestial body in the universe，It is determined by the resultant force it receives，And this resultant force is the joint influence of the gravitational fields of other celestial bodies。Another example，In social networks，An individual’s opinions are easily influenced by the consensus of the group he or she follows or is close to，In essence, this phenomenon can be seen as multiple individuals in a group uniting to exert influence on individuals。In this Bet365 Casino login，Will briefly introduce the development of joint influence theory in recent years，And show how this theory can be used to design algorithms for various applications。The speaker will describe how to model joint influence phenomena in geometric space，And based on this, we develop several general algorithm design and theoretical analysis technologies。This Bet365 Casino login will also discuss some important applications of joint influence theory。
About the speaker:Bet365 Casino login (Ziyun Huang) obtained his bachelor’s degree from the Department of Mathematics, Sun Yat-sen Bet365 Casino login in 2011，And obtained a PhD in Computer Science and Engineering from the State Bet365 Casino login of New York at Buffalo in 2018。At Penn State Erie since 2018, Assistant Professor in the Department of Computer Science and Software Engineering at the Behrend College。His research interests include algorithms，Computational geometry and its application in machine learning，Big data，Applications in computer vision and other fields。The main research result is the establishment and improvement of joint influence theory，and applications in various other fields of computer science。
