Jing Yang
Professor, Department of Machine Learning, University of North Carolina at Charlotte
My research helps people make sense of complex data. Today I focus on human–AI collaborative analytics: how people and AI can analyze data together. This builds on two decades of work on visual analytics techniques for many kinds of data, including multidimensional, time-oriented, network and hierarchical, text, trajectory, image and video data, and on core visualization questions such as interaction, insight management, clustering-based approaches, animation and LLM-assisted visualization. With my collaborators and students, I have also conducted design studies in sports, bioinformatics, finance, network security, health and education.
- Jing.Yang at charlotte.edu
- Office
- Woodward Hall 403E
- Ph.D.
- Computer Science, Worcester Polytechnic Institute, 2005. Advisors Matthew O. Ward and Elke A. Rundensteiner
- B.S.
- Engineering Mechanics and Computer Science, Tsinghua University, 1997
- Links
- Google Scholar Teaching
Paper songs (I made them using Claude and Suno)
Songs about the ideas behind some of my papers. Press play on one, or play them all.
Current projects
Funded projects I am working on now. Students interested in joining one are welcome to get in touch.
Research topics
Each topic is sized by how many of my publications touch it. Click topics, or use the search and filters, to narrow the map, figures and list; hover a topic to see which topics it travels with. Click an empty spot in the cloud to clear the filters.
Publications
My research has been supported by the National Science Foundation, the U.S. Department of Homeland Security, the U.S. Environmental Protection Agency, Google, Bank of America and UNC Charlotte, including the College of Computing and Informatics and Student Affairs.