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

SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM Compression

Jeongin Yun*, Jaeri Lee*, Jongjin Kim, Minjun Kim, Jinho Song, and U Kang (*equal contribution) Annual Meeting of the Association for Computational Linguistics (ACL), 2026, San Diego, United States.

CatDive: A Simple yet Effective Method for Maximizing Category Diversity in Sequential Recommendation

Jaeri Lee and U Kang PLOS ONE (PLOS ONE), 2026 [Paper]

Threshold-based Exploitation of Noisy Label in Black-box Unsupervised Domain Adaptation

Jaeri Lee and U Kang PLOS ONE (PLOS ONE), 2026 [Paper]

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]