Tutors

This tutorial will be given by three researchers from the Department of Computer Science at the University of Virginia.

	Qingyun Wu is a Ph.D. candidate in the Department of Computer Science, University of Virginia. Her research focuses on interactive online learning, including multi-armed bandit, reinforcement learning, and their applications in real-world problems. Her research has appeared in multiple top-tier venues, including SIGIR, WWW, KDD, and NeurIPS; and her algorithms have been evaluated in several commercial systems in industry. Qingyun received the Virginia engineering foundation fellowship and the graduate student award for outstanding research from the University of Virginia.
	Huazheng Wang is a Ph.D. candidate in the Department of Computer Science at the University of Virginia. His research focuses on multi-armed bandit algorithms with application to online recommendation and ranking problems. He is a recipient of Bloomberg Data Science PhD fellowship.
	Hongning Wang] is now an Assistant Professor in the Department of Computer Science at the University of Virginia. He received his PhD degree in computer science at the University of Illinois at Champaign-Urbana in 2014. His research generally lies in the intersection among machine learning, data mining and information retrieval, with a special focus on computational user behavior modeling. His work has generated over 60 research papers in top venues in data mining and information retrieval areas. He is a recipient of 2016 National Science Foundation CAREER Award.