Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain. - Dongmin Hyun; Junsu Cho; Hwanjo Yu (COLING, 2020)

Interest Sustainability-Aware Recommender System. - Dongmin Hyun; Junsu Cho; Chanyoung Park 001; Hwanjo Yu (ICDM, 2020)

Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. - Beomjo Shin; Junsu Cho; Hwanjo Yu; Seungjin Choi (ICPR, 2020)

Unsupervised Proxy Selection for Session-based Recommender Systems. - Junsu Cho; SeongKu Kang; Dongmin Hyun; Hwanjo Yu (SIGIR, 2021)

Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. - Junsu Cho; Dongmin Hyun; SeongKu Kang; Hwanjo Yu (WWW, 2021)

Learning to utilize auxiliary reviews for recommendation. - Dongmin Hyun; Chanyoung Park 001; Junsu Cho; Hwanjo Yu (Inf. Sci., 2021)

Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. - Dongmin Hyun; Chanyoung Park 001; Junsu Cho; Hwanjo Yu (CIKM, 2022)

Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. - Junsu Cho; Dongmin Hyun; Dong won Lim; Hyeon jae Cheon; Hyoung-iel Park; Hwanjo Yu (AAAI, 2023)