‘YZ’ Yezhou Yang
Assistant Professor, School of Computing and AI, ASU
Tech Projects Co-Lead, Institute of Automated Mobility, Arizona Commerce Authority
Co-founder, ARGOS Vision Inc.
ASU Barrett Honors Faculty
ASU Keen EM Education Faculty
ASU Global Security Initiative Affiliated Faculty
ASU Global Sport Institute Affiliated Faculty
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 advance our research and education activities:
Yezhou (also goes by ‘YZ’) Yang is an Assistant Professor at School of Computing and Augmented Intelligence (SCAI), 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 Ph.D. thesis on MANIPULATION ACTION UNDERSTANDING FOR OBSERVATION AND EXECUTION.
A few words to future ASU APGers: For future Ph.D. members, our admission is committee based and we have a large AI-related faculty group at ASU. I would encourage you to apply for our CS/CSE/CEN Ph.D. program first. If you are interested in working with ASU APG, you could consider listing my name as your potential Ph.D. advisor. For future Master members, I typically recruit Master students from my CSE 598 Perception in Robotics course, please consider taking it first. All the best with your applications to graduate schools!
"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.