Author

Sang-Min Choi

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Open access 2026

MARFI: Missingness-Aware Rectified-Flow Imputation for MNAR Data in Predictive Maintenance

Results indicate that explicitly using the missingness mask in the restoration process can improve numerical imputation performance while also preserving information useful for downstream prediction under missing-data settings relevant to predictive maintenance.

Juyoung Kim, Ji-hong Park, Sang-Min Choi et al. · IEEE Access · 0 citations

Book Open access Sep 2026

Information-Aware Long Sequence Compression for Sequential Recommendation

Sequential recommendation (SR) aims to predict a user’s next interaction by modeling temporal dependencies in historical behavior sequences. However, modeling long sequences introduces two challenges: longer histories often include noisy interactions irrelevant to a user’s core interests, and increasing sequence length...

Woo-Seung Kang, Minje Kim, Suwon Lee et al. · Proceedings of the 20th ACM... · 0 citations