Assistant Professor, CIDSE, ASU
ASU Barrett Honors Faculty
ASU Keen EM Education Faculty
ASU Global Security Initiative Affiliated Faculty
ASU Global Sport Institute Affiliated Faculty
NVIDIA Deep Learning Institute (DLI) Certified Instructor (for Computer Vision, Natural Language Processing, and Multiple Data Types) and University Ambassador
699 S Mill Ave.
Tempe, AZ 85281
Email: yz.yang at asu dot edu
ASU APG Sponsors:
ASU APG gratefully acknowledges the funding support and gifts from the following organizations to support our research and education activities:
Yezhou (also goes by ‘YZ’) Yang is an Assistant Professor at School of Computing, Informatics, and Decision Systems Engineering, Arizona State University. He is directing the ASU Active Perception Group. His primary interests lie in Cognitive Robotics, Computer Vision, and Robot Vision, especially exploring visual primitives in human action understanding from visual input, grounding them by natural language as well as high-level reasoning over the primitives for intelligent robots; His research mainly focused on solutions to visual learning, which significantly reduces the time to program intelligent agents. These solutions involve Computer Vision, Deep Learning, and AI algorithms to interpret peoples’ actions and the scene’s geometry. His research draws on the strengths of the symbolic approach, connectionism, and dynamicism.
Before joining ASU, Dr. Yang was a Postdoctoral Research Associate at the Computer Vision Lab and the Perception and Robotics Lab, with the University of Maryland Institute for Advanced Computer Studies. He got his PhD from the Computer Science department of Univeristy of Maryland, with a PhD thesis on MANIPULATION ACTION UNDERSTANDING FOR OBSERVATION AND EXECUTION.
"Fast Task-Specific Target Detection via Graph Based Constraints Representation and Checking";
and "Unsupervised Linking of Visual Features to Textual Descriptions in Long Manipulation Activities" is accepted together with RAL.