Hyesu Lim 임혜수

I'm a Ph.D. student of KAIST AI (advised by Jaegul Choo). I will be joining as a research intern at Dynamical Inference Lab of Helmholtz Munich under the supervision of Steffen Schneider. Previously, I studied at Carnegie Mellon University as a visiting scholar and interned at Qualcomm AI Research. My research interests include, but are not restricted to building reliable and robust AI under unpredictable distribution shifts. I have focused on domain adaptation [C01], test-time adaptation [C02], and robust fine-tuning of foundation models. I have a keen interest in the robust representation of vision-language foundation models and generalizability under the distribution shift before and after fine-tuning and for lifelong adaptation.

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