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Yunsung Lee

Yunsung Lee

AI/ML Research Engineer

Leading research initiatives in Embodied AI, autonomous agents, and robotics foundation models. Currently Head of Research at Maum.ai's WoRV team.


10+ Publications
1.7K+ Citations
5M+ MAUs Reached

What You'll Find Here

👨‍💻 About Me

Learn about my background, research interests, and what drives my passion for AI technology.

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📋 Professional CV

Comprehensive overview of my experience, publications, and achievements in AI research.

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📝 Technical Blog

Insights, tutorials, and thoughts on AI research, machine learning, and technology trends.

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🎯 Core Expertise

🤖 Vision-Language AI

Multimodal systems that understand both visual and textual information

🎨 Diffusion Models

Generative AI and advanced diffusion-based approaches

🚀 Autonomous Agents

Embodied AI systems for real-world environments

🏗️ Foundation Models

Large-scale robotics models for generalizable intelligence


📚 Research Highlights

Research Impact

My publications have accumulated over 1,700 citations on Google Scholar, demonstrating significant influence in machine learning and computer vision research.

Recent Publications

  • D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI (arXiv'25)
  • Multi-Architecture Multi-Expert Diffusion Models (AAAI'24)
  • Addressing Negative Transfer in Diffusion Models (NeurIPS'23)
  • Towards Practical Plug-and-Play Diffusion Models (CVPR'23)

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💼 Technical Skills

🐍 Python & PyTorch
🐳 Docker & FastAPI
ML Deployment
🔍 Elasticsearch

📬 Get In Touch

I'm always interested in connecting with fellow researchers and discussing new ideas in AI and machine learning.