Hi! I'm Sangoh Lee, a Ph.D. student in the Graduate School of Artificial Intelligence at POSTECH, advised by Professor Wook-Shin Han in the Data Systems Lab. My research focuses on Physical AI, World Models and Vision-Language Action Models, and I have previously worked on Natural Language Processing, Knowledge Graph Question Answering, and AI for Databases (AI4DB). I highly believe that physical intelligence will be the next big leap in AI, and I'm excited to contribute to this transformative field!
I completed my B.S. in Electrical Engineering at POSTECH with a GPA of 4.25/4.3 (Salutatorian, rank: 2/256), achieving a perfect GPA (4.3/4.3) in major-specific courses — the highest GPA ever recorded in the Department of Electrical Engineering.
My recent work includes research on cardinality estimation and knowledge graph querying, with publications at ACM SIGMOD 2024 and EMNLP 2025.
Contact: solee@dblab.postech.ac.kr, leesangoh@postech.ac.kr
Research Interests
Currently, I'm highly interested in:
- Physical AI
- Vision-Language Action Models
- World Models
- Embodied Agents
News
SAFE accepted to appear at EMNLP 2025 main track (Suzhou, China)
ASM and ASM in Action accepted to ACM SIGMOD 2024
Awarded SBS Cultural Foundation Scholarship (75,000 USD)
Awarded Postechian Fellowship for highest grades entering POSTECH GSAI
I started Ph.D. at POSTECH Graduate School of AI (Data Systems Lab)!
Publications
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Conference
SAFE: Schema-Driven Approximate Distance Join for Efficient Knowledge Graph Querying
Lee, S., Park, S., Han, W.
EMNLP main track, Suzhou, China, November 2025. -
Conference
ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation
Kim, K., Lee, S., Kim, I., Han, W.
ACM SIGMOD, 2024. -
Conference
ASM in Action: Fast and Practical Learned Cardinality Estimation
Lee, S., Kim, K., Han, W.
ACM SIGMOD Demonstration Proposals, 2024.
Email: solee@dblab.postech.ac.kr