Raymond A Yeh

Raymond A. Yeh is an Assistant Professor in the Department of Computer Science at Purdue University since Fall 2022. Previously, he was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC) and completed his PhD in Electrical Engineering at the University of Illinois at Urbana-Champaign (UIUC) in 2021. His research focuses on machine learning and computer vision, particularly in developing algorithms for effective and explainable models across audio, vision, language, and multi-agent systems.

Education:

• Ph.D., Electrical Engineering, UIUC (2021)
• M.S., Electrical Engineering, UIUC (2016)
• B.S., Electrical Engineering, UIUC (2014)

Research Interests: His work bridges machine learning and computer vision, emphasizing equivariance in neural networks, robustness, and scalable algorithms. Key areas include:

• Generative models (diffusion models, inpainting)
• Equivariant deep learning architectures
• Multi-modal reasoning (vision-language)
• 3D reconstruction and simulation

Recent Contributions: Recent work includes model immunization techniques, scale-equivariant networks, and novel datasets like Tree-D Fusion. His publications span top venues (CVPR, NeurIPS, ECCV) with 4,551 total citations (h-index 18 as of 2025).

Awards:

• Google PhD Fellowship (2018)
• Best Paper Runner-up at CVPR Workshop (2024)
• National Science Foundation (NSF) Grant (2024)
• Purdue Seed for Success Award (2024)

Teaching: Courses include Introduction to AI, Computer Vision with Deep Learning, and Foundations of Deep Learning. Student evaluations consistently score above 4.5/5.0.

Labs: Leads the Purdue Vision and Learning Lab, focusing on advancing AI through robust, interpretable models with practical real-world applications.