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 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2027.
One paper is accepted to the Pacific Symposium on Biocomputing (PSB) 2027.
One paper is accepted to the CVPR 2026 Workshop on Any-to-Any Multimodal Learning.
The Artificial General Intelligence Laboratory (AGILE) officially opened at Ewha Womans University.
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