Tianfu Wu is an associate professor in the Department of Electrical and Computer Engineering at NC State University. He is currently the PI of the laboratory of interpretable Visual Modeling, Computing and Learning (iVMCL).  He received his Ph.D. in statistics from UCLA under the supervision by Prof. Song-Chun Zhu. His research focuses on interpretable Visual Modeling, Computing and Learning, often motivated by the tasks of pursuing a unified framework for AI to ALTER (Ask, Learn, Test, Explain and Refine) in a trustworthy, robust and responsive way for AIGCGT (AI Generated Content and Ground-Truth).


  • Ph.D. 2011
    University of California, Los Angeles

Research Focus

Recent News

New Method Helps AI Navigate 3D Space Using 2D Images

Posted on September 28, 2023 | Filed Under: AI/ML and Research

Photos are two-dimensional (2D), but autonomous vehicles and other technologies have to navigate the three-dimensional (3D) world. Researchers have developed a new method to help artificial intelligence (AI) extract 3D information from 2D i …

New Method Improves Efficiency of ‘Vision Transformer’ AI Systems

Posted on June 2, 2023 | Filed Under: AI/ML and Research

The work also improves the vision transformer AI’s ability to identify, classify and segment objects in images.

ECE Students Win Best Poster Award from CAEML

Posted on January 13, 2023 | Filed Under: News

Priyank Kashyup and Yuejiang Wen each won the Best Poster Award at CAEML’s Fall 2022 Semiannual Meeting.


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