Dual Correction Strategy for Ranking Distillation in Top-N Recommender System. - Youngjune Lee; Kee-Eung Kim (CIKM, 2021)

Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI. - Youngjune Lee; Oh Joon Kwon; Haeju Lee; Joonyoung Kim; Kangwook Lee 004; Kee-Eung Kim (CoRR, 2021)

Learning to Embed Multi-Modal Contexts for Situated Conversational Agents. - Haeju Lee; Oh Joon Kwon; Yunseon Choi; Minho Park 002; Ran Han; Yoonhyung Kim; Jinhyeon Kim; Youngjune Lee; Haebin Shin; Kangwook Lee 004; Kee-Eung Kim (NAACL-HLT (Findings), 2022)

MvFS: Multi-view Feature Selection for Recommender System. - Youngjune Lee; Yeongjong Jeong; Keunchan Park; SeongKu Kang (CIKM, 2023)

RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine. - Nayoung Choi; Youngjune Lee; Gyu-Hwung Cho; Haeyu Jeong; Jungmin Kong; Saehun Kim; Keunchan Park; Sarah Cho; Inchang Jeong; Gyohee Nam; Sunghoon Han; Wonil Yang; et al. (EMNLP (Industry Track), 2024)

RRADistill: Distilling LLMs' Passage Ranking Ability for Document Re-Ranking of Long-Tail Queries in a Search Engine. - Nayoung Choi; Youngjune Lee; Gyu-Hwung Cho; Haeyu Jeong; Jungmin Kong; Saehun Kim; Keunchan Park; Jaeho Choi; Sarah Cho; Inchang Jeong; Gyohee Nam; Sunghoon Han; et al. (CoRR, 2024)

IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval. - Youngjune Lee; Haeyu Jeong; Changgeon Lim; Jeong Choi; Hongjun Lim; Hangon Kim; Jiyoon Kwon; Saehun Kim (SIGIR, 2025)