Taeheon Kim

I'm a 2nd-year M.S. student in Electronics and Computer Engineering at Machine Perception and Reasoning Lab. at Seoul National University advised by Prof. Jonghyun Choi. My research focus is on efficient learning, continual learning, federated learning, model safety, and machine unlearning.

I received B.S. from Yonsei University in Computer Science under the supervision of Prof. Jonghyun Choi.

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    News
2026.01 One paper on collaborative learning among heterogeneous clients accepted to ICLR 2026.
2025.11 One paper on evaluation metric for machine unlearning accepted to AAAI 2026.
2025.05 Our workshop proposal (CLVISION: Continual Learning in Computer Vision) accepted to ICCV 2025. I will serve as an Challenge Chair in ICCV 2025 @ CLVISION.
2025.05 One paper on safety enhancement in LLMs accepted to ACL 2025 Main.
2025.04 One paper on heterogeneous federated learning for MLLMs accepted to CVPRW 2025 @ MMFM.
2024.09 I started my M.S. degree at Seoul National University under the supervision of Prof. Jonghyun Choi

    Publications
Not All Clients Are Equal: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients
Minhyuk Seo*, Taeheon Kim*, Hankook Lee, Jonghyun Choi, Tinne Tuytelaars
ICLR 2026 / AAAI 2026 PerFM Workshop Oral
[pdf] [bibtex]
An Information Theoretic Metric for Evaluating Unlearning Models
Dongjae Jeon*, Wonje Jeung*, Taeheon Kim, Albert No, Jonghyun Choi
AAAI 2026
[pdf] [bibtex]
Representation Bending for Large Language Model Safety
Ashkan Yousefpour*, Taeheon Kim*, Ryan S. Kwon, Seungbeen Lee, Wonje Jeung, Seungju Han, Alvin Wan, Harrison Ngan, Youngjae Yu, Jonghyun Choi,
ACL 2025 Main
[pdf] [bibtex] [code]
HEFT: Multi-modal Personalized Federated Continual Learning for Heterogeneous Clients
Minhyuk Seo*, Taeheon Kim*, Hankook Lee, Jonghyun Choi, Tinne Tuytelaars
CVPRW 2025 @ MMFM

    Awards


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