Generative AI
Designing deep generative models that synthesize, represent, and reason — the engine behind artificial general intelligence.
Designing deep generative models that synthesize, represent, and reason — the engine behind artificial general intelligence.
Confronting the messiness of real-world data — shifting distributions, multiple modalities, and the embodied demands of physical AI.
Principal Investigator
Graduate Students
* Equal contribution · † Corresponding author(s)
One paper is accepted to the CVPR 2026 Workshop on Any-to-Any Multimodal Learning.
One paper is accepted to the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) 2025.
The Artificial General Intelligence Laboratory (AGILE) officially opened at Ewha Womans University.
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