Raymond A. Yeh

Raymond A. Yeh is an Assistant Professor in the Department of Computer Science at Purdue University, where he has been since Fall 2022. His research focuses on machine learning and computer vision, particularly on developing algorithms for audio, vision, language, and multi-agent systems. Prior to Purdue, he was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC) from 2021-2022.

• Education: Ph.D. and M.S. in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign (UIUC), advised by Professors Alexander Schwing and Minh Do; B.S. in Electrical Engineering from UIUC.

His research integrates multiple domains:

• Developing machine learning algorithms with focus on computer vision
• Working at the intersection of audio processing, language modeling, and multi-agent reinforcement learning
• Advancing 3D reconstruction, diffusion models, and equivariant networks

Recent publications demonstrate his work in:

• 2025: Oral presentation at ICML on model immunization; multiple ICCV publications on concepts like symmetry detection and long-tailed anomaly detection
• 2024: NeurIPS work on codomain attention neural operators; ECCV publications on advanced vision techniques
• 2023: NeurIPS paper on 3D generation using diffusion models

Scientific recognition includes:

• Google Research Scholar (Machine Perception), 2025
• Multiple UIUC awards including Bronze Tablet and Highest Honors
• Google PhD Fellowship and Mavis Future Faculty Fellowship

As an educator, he has taught:

• Computer Vision with Deep Learning (Purdue Fall 2025, 2024)
• Introduction to Artificial Intelligence (Purdue Spring 2025, 2023, 2023)
• Foundations of Deep Learning (Purdue Spring 2024)
• Topics in Machine Perception (Purdue Fall 2022)
• Previously served as Teaching Assistant at UIUC for Pattern Recognition and Machine Learning