AI Powered FINTECH at WeBank

Speaker:        Dr. Vincent W. Zheng
                Deputy General Manager
                WeBank AI Department

Title:          "AI Powered FINTECH at WeBank"

Date:           Friday, 21 September 2018

Time:           3:00pm - 4:00pm

Venue:          Room 3598 (via lift 27/28), HKUST

Abstract:

Artificial Intelligence has grown from lab research to real-world
applications. At WeBank, we focus on two goals: scaling-up current banking
services with AI and Big Data, and exploring new AI-based banking models.
In this talk, I will give an overview of our recent exploration into the
FINTECH space: to build ultra-high dimensional feature space for
personalized recommendation and advertising, to empower a federation of
organizations, to build robots into every aspect of banking services, to
build banking-application-oriented speech recognition systems, face
recognition systems, dialog systems and NLP systems. I will describe
concepts and give examples of practical cases in WeBank, a first Internet
commercial bank in China with 60 million customers supported with only
1000 employees.


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Biography:

Dr. Zheng is the Deputy General Manager of WeBank AI Department, and an
Adjunct Senior Research Scientist at Advanced Digital Sciences Center
(ADSC), Singapore. He received his Ph.D. degree from the Hong Kong
University of Science and Technology in 2011. His research interests focus
on mining with heterogeneous and structured data. His work on graph
feature engineering is highlighted as IJCAI-ECAI 2018 Early Career
Spotlight. His work on deep transfer learning receives the Best Paper
Award from ICCSE 2018.  He is the Associate Editor of Cognitive
Computation. He has served as PCs in many leading data mining and
artificial intelligence conferences such as KDD, IJCAI, AAAI, WWW, WSDM.
He also co-organized the 1st IEEE ICDM Data Mining Contest in 2007, the
International Workshop on Localization Technology and Location-based
Service at IEEE CPSCom 2013, and the 1st International Workshop on Large
Scale Graph Representation Learning and Applications at ICDM 2018. He has
published over 60 papers in the refereed conferences, journals and book
chapters. He holds multiple patents and technical disclosures. He is a
member of AAAI and ACM.