Yongkai Wu

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I am an Assistant Professor in the Department of Electrical and Computer Engineering at Clemson University. I earned my Ph.D. in Computer Science from the University of Arkansas in 2020, under the supervision of Dr. Xintao Wu. I received my B.Eng. in Electronic Engineering from Tsinghua University, China, in 2014.

My research focuses on responsible and trustworthy artificial intelligence. I develop AI systems that are efficient and effective while remaining transparent, fair, and aligned with human values. My work connects theoretical methods with applications in healthcare, education, science, and engineering.

πŸ”₯πŸ”₯πŸ”₯ I am actively seeking highly motivated students to join my group. For detailed information about available opportunities and application guidelines, click here. πŸ”₯πŸ”₯πŸ”₯

News

Aug 10, 2026 Received a new NSF award (Award ID 2622879 β€” Collaborative Research: CyberAI Innovation: Building AI Auditing Competency through Learning Theory-Guided Adoptable Module Design β€” with Dr. Chiu C. Tan of Temple University and Dr. Ting Sun of the University of Utah.
Jun 18, 2026 One paper accepted by ECCV 2026: β€œSPARC: Scalable Path-Specific Counterfactual Fairness via Causal Conditional Independence.”
May 25, 2026 Two papers accepted by Transactions on Machine Learning Research (TMLR): Causally Fair Node Classification on Non-IID Graph Data and FairSAM: Fair Classification on Corrupted Image Data Through Sharpness-Aware Minimization.
Mar 25, 2026 Our project, Secure Multi-Modal Transportation AI at Run-Time, is funded by the U.S. Department of Transportation through the National Center for Transportation Cybersecurity and Resiliency (TraCR). This is a collaborative project with UT Dallas.
Feb 22, 2026 I will serve as Action Editor for Transactions on Machine Learning Research (TMLR).