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Authors’ Biographies

KAI SHU

Kai Shu is a Ph.D. student and research assistant at the Data Mining and Machine Learn-

ing (DMML) Lab at Arizona State University. He received his B.S./M.S. from Chongqing

University in 2012 and 2015, respectively. His research interests include fake news detection,

social computing, data mining, and machine learning. He was awarded ASU CIDSE Doctorial

Fellowship 2015, the 1st place of SBP Disinformation Challenge 2018, University Graduate

Fellowship, and various scholarships. He co-presented two tutorials in KDD 2019 and WSDM

2019, and has published innovative works in highly ranked journals and top conference pro-

ceedings such as ACM KDD, WSDM, WWW, CIKM, IEEE ICDM, IJCAI, AAAI, and

MICCAI. He also worked as a research intern at Yahoo! Research and Microsoft Research in

2018 and 2019, respectively. More can be found at http://www.public.asu.edu/~skai2/.

HUAN LIU

Huan Liu is a professor of Computer Science and Engineering at Arizona State University.

Before he joined ASU, he worked at Telecom Australia Research Labs and was on the fac-

ulty at the National University of Singapore. His research interests are in data mining, machine

learning, social computing, and artiﬁcial intelligence, investigating interdisciplinary problems

that arise in many real-world, data-intensive applications with high-dimensional data of dis-

parate forms such as social media. He is a co-author of Social Media Mining: An Introduc-

tion (Cambridge University Press). He is a founding organizer of the International Confer-

ence Series on Social Computing, Behavioral-Cultural Modeling, and Prediction, Field Chief

Editor of Frontiers in Big Data and its Specialty Chief Editor in Data Mining and Manage-

ment. He is a Fellow of ACM, AAAI, AAAS, and IEEE. More can be found about him at

http://www.public.asu.edu/~huanliu.