Lei Chen has BS degree in computer science and engineering from Tianjin University, Tianjin, China, MA degree from Asian Institute of Technology, Bangkok, Thailand, and PhD in computer science from the University of Waterloo, Canada. He is a professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST). He is acting director of Big Data Institute at HKUST. His research includes human-powered machine learning, crowdsourcing, blockchain, social media analysis, probabilistic and uncertain databases, and privacy-preserved data publishing. The system developed by his team won the excellent demonstration award in VLDB 2014. Currently, he serves as Editor-in-Chief of VLDB Journal and an associate editor-in-chief of IEEE Transaction on Data and Knowledge Engineering.

Keynote 1 – Big Data Analysis in Finance Industry
Big Data has made great impact in many application fields, together with advanced AI technology, it will change our world dramatically. In this talk, I will first start with several cases to motivate the importance of Big Data analysis in Finance Industry. Then, I will discuss the challenges in applying Big Data analysis. Finally, I will highlight some possible solutions to address those challenges.

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