Jieun Lee — accepted AI-conference papers

2026

Position: AI Lock-In Is in Progress, and We Must Be Prepared

Jaeho Kim, Seokhyun Lee, Jieun Lee, Changhee Lee

ICML 2026spotlight

AI safety research has mainly focused on two areas: technical alignment (ensuring AI systems produce human-aligned outputs) and the regulation of generative AI's societal impacts (including unemployment risk and labor market disruption). However, an equally important dimension remains underexplored:…

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2015

Membership Representation for Detecting Block-Diagonal Structure in Low-Rank or Sparse Subspace Clustering

Minsik Lee, Jieun Lee, Hyeogjin Lee, Nojun Kwak

CVPR 2015poster

Recently, there have been many proposals with state-of-the-art results in subspace clustering that take advantages of the low-rank or sparse optimization techniques. These methods are based on self-expressive models, which have well-defined theoretical aspects. They produce matrices with (approximat…

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