Yue "Ray" Wang

Welcome! I am an Assistant Professor at the School of Information and Library Science, University of North Carolina at Chapel Hill.
I received my PhD degree in Computer Science and Engineering from University of Michigan. I received my undergraduate and master's degrees from Shanghai Jiao Tong University and a master's degree from Georgia Institute of Technology.

Research

I am broadly interested in text data mining, machine learning, information retrieval, and health informatics.

Discovering reliable knowledge and new insights from massive data sets requires significant human efforts. My research develops principled interactive and interpretable machine learning algorithms to minimize data scientists' efforts in producing high-quality results. These algorithms have been applied to a wide range of data mining tasks, including high-recall information retrieval, computer-assisted content analysis, clinical natural language processing, and aggregated web search.

I am recently interested in user-centered interpretable machine learning. These include designing inherently interpretable models, evaluating explanations of machine predictions through crowdsourced user experiments, understanding the effects of these explanations through in-lab user studies, and studying cases where ML explanations are syntactically simple yet semantically counterintuitive.

News

Can Machine Learning Improve Air Quality?, UNC SILS, 2024
A research collaboration between the U.S. Environmental Protection Agency and UNC Chapel Hill on machine-assisted literature screening has become official!

Honors & Awards

UNC Junior Faculty Development Award, 2022
Outstanding Reviewer Award, WSDM 2022
Deborah Barreau Award for Teaching Excellence, 2021