I am a Ph.D. candidate in SNU Computer Vision Lab. under the supervision of Prof. Bohyung Han. My research interests mainly lie in reliable and trustworthy representation learning for model robustness, privacy, and transferability. I am also interested in interactive media art, ambient sound production, and brand experience design. I worked at Meta AI in 2022 and at Adobe Research in 2019 as a research scientist intern.
[Oct, 2024] Our artwork <The Operator: Notated Human> won the Red Dot Award: Design Concept 2024, featured at Red Dot 2024 Highlights.
[Aug, 2024] I received the Distinguished Ph.D. Dissertation Award from ECE, Seoul National University.
[Jul, 2024] Our machine unlearning paper, MUDA, is now available on arXiv.
[May, 2024] Source code of FedRCL is now available.
[Mar, 2024] I will participate in CVPR 2024 Doctoral Consortium.
[Feb, 2024] Our paper about federated learning is accepted to CVPR 2024.
[Oct, 2023] I am co-organizing the 5th Large-scale Video Object Segmentation Challenge (Youtube-VOS) workshop in conjunction with ICCV 2023.