Data Quality and Learning with Crowdsourcing

Report Title: Data Quality and Learning with Crowdsourcing

Time: 10:00 a.m. on June 24, 2019

Place: 202, Yifu Building, Xiushan Campus

Speaker profile:

Prof. Sheng received the M.Sc. degree from the University of New Brunswick, Fredericton, NB, Canada, and the Ph.D. degree from the University of Western Ontario, London, ON, Canada, both in computer science, in 2003 and 2007 , respectively.

He is an Associate Professor of computer science and the Founding Director of Data Analytics Laboratory at University of Central Arkansas. After receiving the Ph.D. degree, he was an Associate Research Scientist and NSERC Postdoctoral Fellow ininformation systems with the Stern Business School at New York University . Hisresearch interests include data mining, machine learning, crowdsourcing, and related applications in business, industry, medical informatics, and softwareengineering. He has published more than 140 research papers in conferences andjournals of machine learning and data mining. Most papers are published in topjournals and conferences in data science, such as PAMI, TNNLS, TKDE, JMLR, AAAI, KDD, IJCAI, and ACMMM.

Prof. Sheng is a seniormember of IEEE. He is a conference organizer for several conferences, and aneditorial board member for several journals. He also is a SPC and PC member formany international conferences (such as IJCAI, AAAI, and KDD) and a reviewer ofmore than twenty international journals (such as PAMI, TNNLS, TKDE, and JMLR). He was the recipient of the Best Paper Award Runner Up from KDD'08, the Best Paper Award from ICDM'11, the Best StudentPaper Award Finalist from WISE '15, and the Best PaperAward from ICCCS'18.