THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks. - Yeon-Chang Lee; Jaehyun Lee 001; Dongwon Lee 001; Sang-Wook Kim (ICDM, 2022)

Madusa: mobile application demo generation based on usage scenarios. - Jaehyun Lee 001; Hangyeol Cho; Woosuk Lee (Autom. Softw. Eng., 2023)

Learning to compensate for lack of information: Extracting latent knowledge for effective temporal knowledge graph completion. - Yeon-Chang Lee; Jaehyun Lee 001; Dongwon Lee 001; Sang-Wook Kim (Inf. Sci., 2024)

CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship. - Yeon-Chang Lee; Jaehyun Lee 001; Michiharu Yamashita; Dongwon Lee 001; Sang-Wook Kim (KDD (1), 2025)