I'm a Ph.D. Candidate of Data Mining Lab at Seoul National University. My research interests include recommender system and model compression. I’m currently advised by Prof. U Kang.

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Curriculm Vitae

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Google Scholar

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<aside> 💡 Recommender System

• Diversified Recommendation
• Multi-interest Recommendation

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<aside> 💡 Model Compression - Quantization

• Parameter Efficient Fine-Tuning

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Education

Seoul National University

Seoul, Republic of Korea ( Sep 2021- Current) Ph.D. Candidate in the Graduate School of Artificial Intelligence.

Hankuk University of Foreign Studies

Seoul, Republic of Korea ( Feb 2016- Feb 2021 ) B.S in German Education & Software Convergence.

Publications

LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision Transformers

Minjun Kim, Jaeri Lee, Jongjin Kim, Jeongin Yun, Yongmo Kwon, U Kang AAAI Conference on Artificial Intelligence (AAAI), 2026, Singapore. [Paper]

Context-aware Sequential Bundle Recommendation via User-specific Representations

Jaeri Lee, and U Kang ACM International Conference on Information and Knowledge Management (CIKM), 2025, Seoul, Korea. [Paper]

DART: Diversified and Accurate Long-Tail Recommendation

Jeongin Yun, Jaeri Lee, and U Kang Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025, Sydney, Australia. [Paper]

Towards True Multi-interest Recommendation: Enhanced Scheme for Balanced Interest Training