Kai Shu is an Assistant Professor in the Department of Computer Science at Emory University. His research lies in machine learning, data mining, social computing with applications such as disinformation, education, and healthcare.

Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. Studying Fake News via Network Analysis: Detection and Mitigation. Fake News, Disinformation, and...

Panelist, the First Global WHO Infodemiology Conference, July, 2020. Kai Shu's homepage at Emory University.

Proceedings of the 2017 VI International Conference on Network …

My research interests span machine learning, data mining, and social computing, with practical applications in areas such as disinformation, education, and healthcare. I earned my Ph.D. in Computer Science from Arizona State University in July 2020, under the mentorship of …

Kai Shu, Ahmadreza Mosallanezhad, and Huan Liu. Chapter, in Frontiers in Fake Media Generation and Detection, Springer Press, 2022. Forthcoming. Combating Online Hostile Posts in Regional Languages during Emergency Situation. Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu, and Md Shad Akhtar (Eds.).

Kai Shu received the B.S./M.S. degrees from Chongqing University, in 2012 and 2015, respectively. He is currently pursuing the Ph.D. degree with the Data Mining and Machine Learning (DMML) Laboratory, Arizona State University. He is currently a Research Assistant with the DMML Laboratory, Arizona State University.

Researchers Canyu Chen, a doctoral student at Illinois Institute of Technology, and Kai Shu, assistant professor in its Department of Computer Science, set out to examine whether LLM-generated misinformation can cause more harm than the human-generated variety of …

Kai SHU, Assistant Professor | Cited by 8,747 | of Illinois Institute of Technology, Chicago (IIT) | Read 153 publications | Contact Kai SHU