Raymond A. Yeh
Computer Science · Purdue University West Lafayette
Publications
104
Citations
3,449
Est. group size
~5
Recurring co-author estimate
Active years
13
Publishing since 2014
Raymond A. Yeh works in computer vision and machine learning, focusing on topics such as generative models for images and 3D/4D shapes, model editing and 'unlearning' (removing specific knowledge from trained models), and building neural networks with mathematical symmetry properties (equivariance). Recent projects also touch on robotics-related world models, anomaly detection, and low-light image enhancement. This research is aimed at making machine learning models more controllable, interpretable, and reliable across vision and generative tasks.
Publication output has grown notably over the last decade, rising from single digits per year around 2017-2020 to around 13-18 per year in 2024-2025, indicating an increasing pace of research activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- DREAM-Chunk: Reactive Action Chunking with Latent World Model
arXiv (Cornell University) · 2026
- Designing to Forget: Deep Semi-parametric Models for Unlearning
arXiv (Cornell University) · 2026
- Designing to Forget: Deep Semi-parametric Models for Unlearning
arXiv (Cornell University) · 2026
- Tunable Soft Equivariance with Guarantees
arXiv (Cornell University) · 2026
- Tunable Soft Equivariance with Guarantees
arXiv (Cornell University) · 2026
- Helix4D: Complex 4D Mesh Generation
arXiv (Cornell University) · 2026
- Helix4D: Complex 4D Mesh Generation
arXiv (Cornell University) · 2026
- DREAM-Chunk: Reactive Action Chunking with Latent World Model
arXiv (Cornell University) · 2026
- GeoCode: Interpretable Shape Programs
Computer Graphics Forum · 2025
- Multi-concept Model Immunization through Differentiable Model Merging
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
- Toward Long-Tailed Online Anomaly Detection Through Class-Agnostic Concepts
2025
- Knowledge Distillation Detection for Open-weights Models
arXiv (Cornell University) · 2025
- ShapeGen4D: Towards High Quality 4D Shape Generation from Videos
arXiv (Cornell University) · 2025
- Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer
2025
- CLIPSym: Delving into Symmetry Detection with CLIP
2025
- arXiv (Cornell University)×57
- Lecture notes in computer science×5
- Proceedings of the AAAI Conference on Artificial Intelligence×3
- Computer Graphics Forum×1
- Manufacturing Letters×1
- Jianyang Gu
Computer Science · The Ohio State University
- Zijian He
Computer Science · Purdue University West Lafayette
- Shujon Naha
Computer Science · Indiana University
- Dongfang Liu
Computer Science · Purdue University West Lafayette
- Tai-Yu Pan
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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