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.
What You'll Find Here¶
👨💻 About Me
Learn about my background, research interests, and what drives my passion for AI technology.
📋 Professional CV
Comprehensive overview of my experience, publications, and achievements in AI research.
📝 Technical Blog
Insights, tutorials, and thoughts on AI research, machine learning, and technology trends.
🎯 Core Expertise¶
🤖 Vision-Language(-Action) AI
Expanding multimodal AI: vision → language → action
🎨 Diffusion Models
Generative AI and advanced diffusion-based approaches
🚀 Embodied Agents
AI systems that perceive and act in real-world environments
🏗️ Agentic AI
Autonomous AI agents with reasoning and decision-making capabilities
📚 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¶
- Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric Representation (Under Review)
- CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents (arXiv'25)
- D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI (ICLR'26)
- 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)
💼 Technical Skills¶
📬 Get In Touch¶
I'm always interested in connecting with fellow researchers and discussing new ideas in AI and machine learning.