CS SEMINAR: An Overview of AI in Data Mining, and Graph Embedding 

6Estates Pte Ltd

<H2>ABSTRACT</H2>
In this talk, Prof. Tang Jie will review the recent development of Artificial Intelligence including theories, algorithms, and application in the data mining community. Prof. Tang will take KDD as an example and introduce the most popular research topics in recent years, as well as summarise applied research conducted in major international companies. Finally, several interesting research on representation learning for big networks, covering both theoretical analysis and applications of network (graph) embedding will also be presented.
 
<H2>SPEAKER'S BIO</H2>
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Prof. Tang Jie is a tenured associate professor and the vice chair of the Department of Computer Science and Technology at Tsinghua University. His interests include social network analysis, data mining, and machine learning. He has published over 200 papers and holds 20 patents. He served as PC Co-Chair of CIKM’16, WSDM’15, Associate General Chair of KDD’18, and Acting Editor-in-Chief of ACM TKDD. He was honoured with UK Royal Society-Newton Advanced Fellowship Award, NSFC for Distinguished Young Scholar, and KDD’18 Service Award. He is currently the technical advisor of 6Estates.
 
<H2>ABOUT 6ESTATES</H2>
6Estates is an AI-driven intelligence company. We specialise in Natural Language Processing, Deep Learning, and Knowledge Graph to deliver real-time, actionable insights to businesses, with a focus on Market Intelligence and Finance Intelligence. 
CS Seminar is an initiative by 6Estates to facilitate the sharing of technical knowledge by academics and industry experts, to promote AI &amp; Computer Science community in Singapore. 
The venue for CS Seminar is sponsored by BLOCK71. 
For any enquiries, kindly contact: info@6estates.com / +65 6777 2757

BLOCK71

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CS SEMINAR: An Overview of AI in Data Mining, and Graph Embedding

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