Giung Nam
Postdoctoral Researcher @ KAIST AI
I am a Postdoctoral Researcher and Technical Research Personnel at the Statistical Inference and Machine Learning (SIML) laboratory in KAIST AI. Having earned my Ph.D. in the same lab advised by Juho Lee, my research continues to be grounded in the philosophy that today's posterior is tomorrow's prior, where the current model serves as the foundational prior for the next generation of models.
The rapid evolution of deep learning has established pre-trained foundation models as the bedrock of modern AI systems. As this landscape continues to evolve, I focus on investigating how to effectively transfer, adapt, and compress their knowledge to catalyze the development of future models that are stronger in capability and lighter in cost. My research covers transfer learning, knowledge distillation, and model compression, with a recent interest in weak-to-strong generalization and self-play mechanisms.