| 2026 | WSDM | Capturing User Interests from Data Streams for Continual Sequential Recommendation. | Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, Hwanjo Yu |
| 2025 | ICCAD | 3D Acceleration for Mixture-of-Experts and Multi-Head Attention Spiking Transformers with Dynamic Head Pruning. | Boxun Xu, Junyoung Hwang, Pruek Vanna-Iampikul, Yuxuan Yin, Sung Kyu Lim, Peng Li |
| 2024 | AAAI | Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. | Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu |
| 2024 | ICCAD | Spiking Transformer Hardware Accelerators in 3D Integration. | Boxun Xu, Junyoung Hwang, Pruek Vanna-Iampikul, Sung Kyu Lim, Peng Li |
| 2024 | SIGIR | Multi-Domain Sequential Recommendation via Domain Space Learning. | Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu |
| 2022 | WWW | Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. | Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu |
| 2021 | KDD | Topology Distillation for Recommender System. | SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu |
| 2020 | CIKM | DE-RRD: A Knowledge Distillation Framework for Recommender System. | SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu |
| 2020 | WWW | Deep Rating Elicitation for New Users in Collaborative Filtering. | Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu |
| 2019 | CIKM | Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. | SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu |
| 2019 | IJCAI | Action Space Learning for Heterogeneous User Behavior Prediction. | Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu |