Invited Speaker Heng Ji - InfoSurgeon: Cross-media Weak Supervision for Knowledge-Element Level Fake News Detection

Bio: Heng Ji is a professor of Computer Science at the University of Illinois at Urbana-Champaign. Her research interests focus on Natural Language Processing and its connections with Data Mining, Social Science and Vision. Recent work focuses on weak supervision methods for schema-guided event understanding. Heng Ji was selected as "Young Scientist" and a member of the Global Future Council on the Future of Computing by the World Economic Forum in 2016 and 2017. The awards she received include "AI's 10 to Watch" Award by IEEE Intelligent Systems in 2013, NSF CAREER award in 2009, PACLIC2012 Best paper runner-up, "Best of ICDM2013" paper award, "Best of SDM2013" paper award, ACL2018 Best Demo paper nomination, Google Research Award in 2009 and 2014, IBM Watson Faculty Award in 2012 and 2014 and Bosch Research Award in 2014-2018. She has coordinated the NIST TAC Knowledge Base Population task since 2010 and led several multi-institute research efforts including DARPA DEFT Tinker Bell team of seven universities and DARPA KAIROS RESIN team of six universities.